Hostname: page-component-76fb5796d-45l2p Total loading time: 0 Render date: 2024-04-27T10:28:26.773Z Has data issue: false hasContentIssue false

Cognitive-behavioral therapy for patients with post-COVID-19 condition (CBT-PCC): a feasibility trial

Published online by Cambridge University Press:  16 October 2023

Daniel Huth
Affiliation:
Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg University Mainz, Mainz, Germany
Anne-Kathrin Bräscher
Affiliation:
Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg University Mainz, Mainz, Germany
Sarah Tholl
Affiliation:
Department of Clinical Psychology and Psychotherapy, University of Konstanz, Konstanz, Germany
Johanna Fiess
Affiliation:
Department of Clinical Psychology and Psychotherapy, University of Konstanz, Konstanz, Germany
Gunnar Birke
Affiliation:
Kliniken Schmieder Gailingen, Gailingen, Germany
Christoph Herrmann
Affiliation:
Kliniken Schmieder Gailingen, Gailingen, Germany
Michael Jöbges
Affiliation:
Kliniken Schmieder Konstanz, Konstanz, Germany
Daniela Mier
Affiliation:
Department of Clinical Psychology and Psychotherapy, University of Konstanz, Konstanz, Germany
Michael Witthöft*
Affiliation:
Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg University Mainz, Mainz, Germany
*
Corresponding author: Michael Witthöft; Email: witthoef@uni-mainz.de
Rights & Permissions [Opens in a new window]

Abstract

Background

The post-COVID-19 condition describes the persistence or onset of somatic symptoms (e.g. fatigue) after acute COVID-19. Based on an existing cognitive-behavioral treatment protocol, we developed a specialized group intervention for individuals with post-COVID-19 condition. The present study examines the feasibility, acceptance, and effectiveness of the program for inpatients in a neurological rehabilitation setting.

Methods

The treatment program comprises eight sessions and includes psychoeducational and experience-based interventions on common psychophysiological mechanisms of persistent somatic symptoms. A feasibility trial was conducted using a one-group design in a naturalistic setting. N = 64 inpatients with a history of mild COVID-19 that fulfilled WHO criteria for post-COVID-19 condition were enrolled. After each session, evaluation forms were completed and psychometric questionnaires on somatic and psychopathological symptom burden were collected pre- and post-intervention.

Results

The treatment program was well received by participants and therapists. Each session was rated as comprehensible and overall satisfaction with the sessions was high. Pre-post effect sizes (of standard rehabilitation incl. new treatment program; intention-to-treat) showed significantly reduced subjective fatigue (p < 0.05, dav = 0.33) and improved disease coping (ps < 0.05, dav = 0.33–0.49).

Conclusions

Our results support the feasibility and acceptance of the newly developed cognitive-behavioral group intervention for individuals with post-COVID-19 condition. Yet, findings have to be interpreted cautiously due to the lack of a control group and follow-up measurement, the small sample size, and a relatively high drop-out rate.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Background

In addition to the health threat posed by the acute coronavirus disease 2019 (COVID-19), long-term consequences present as another major health concern of the COVID-19 pandemic. Whereas most cases fully recover from acute illness, a considerable proportion reports the persistence of multiple physical and mental complaints. The post-COVID-19 condition (PCC) is defined as the experience of symptoms at least 12 weeks after a SARS-CoV-2 infection that developed during acute COVID-19 or after initial recovery, persist for at least two months, interferes with everyday functioning, and cannot be explained by an alternative diagnosis (Soriano, Murthy, Marshall, Relan, & Diaz, Reference Soriano, Murthy, Marshall, Relan and Diaz2022). Common symptoms include fatigue, headache, cognitive impairments, or dyspnea, but overall, PCC can affect multiple organ systems resulting in a variety of associated symptoms and different phenotypes (Groff et al., Reference Groff, Sun, Ssentongo, Ba, Parsons, Poudel and Chinchilli2021; Lopez-Leon et al., Reference Lopez-Leon, Wegman-Ostrosky, Perelman, Sepulveda, Rebolledo, Cuapio and Villapol2021; Reese et al., Reference Reese, Blau, Casiraghi, Bergquist, Loomba, Callahan and Robinson2023). A meta-analysis estimated the global pooled prevalence to be 43% of people with confirmed COVID-19 diagnosis, but prevalence estimates vary widely by study procedure (Chen et al., Reference Chen, Haupert, Zimmermann, Shi, Fritsche and Mukherjee2022). More conservative estimates suggest that approximately 1–5% develop somatic complaints in accordance with PCC criteria (Thompson et al., Reference Thompson, Williams, Walker, Mitchell, Niedzwiedz, Yang and Steves2022). Either way, given the number of people infected with SARS-CoV-2 worldwide, PCC affects a significant number of people, resulting in increased health care burden and socioeconomic costs (Tartof et al., Reference Tartof, Malden, Liu, Sy, Lewin, Williams and Qian2022; Williamson, Tydeman, Miners, Pyper, & Martineau, Reference Williamson, Tydeman, Miners, Pyper and Martineau2022).

So far, the pathogenesis of PCC is unknown. It is most probably multifactorial and differs between patients. Several biomedical explanation attempts are currently discussed (Merad, Blish, Sallusto, & Iwasaki, Reference Merad, Blish, Sallusto and Iwasaki2022), although a considerable proportion of patients do not exhibit biomedical abnormalities (Fleischer et al., Reference Fleischer, Szepanowski, Tovar, Herchert, Dinse, Schweda and Kleinschnitz2022; Reese et al., Reference Reese, Blau, Casiraghi, Bergquist, Loomba, Callahan and Robinson2023; Sneller et al., Reference Sneller, Liang, Marques, Chung, Shanbhag, Fontana and Lane2022). Persistent somatic symptoms (PSS) that cannot be sufficiently explained by biomedical factors are common across other health conditions and often better represented by biopsychosocial models (Engel, Reference Engel1977; Van den Bergh, Witthöft, Petersen, & Brown, Reference Van den Bergh, Witthöft, Petersen and Brown2017). Interactions between biological and psychosocial factors also seem relevant in PCC (Lemogne, Gouraud, Pitron, & Ranque, Reference Lemogne, Gouraud, Pitron and Ranque2023; Saunders, Sperling, & Bendstrup, Reference Saunders, Sperling and Bendstrup2023). For example, elevated psychological distress was seen to be both a symptom and a risk factor of PCC (Dong, Liu, Dai, Yang, & Liu, Reference Dong, Liu, Dai, Yang and Liu2021; Magnúsdóttir et al., Reference Magnúsdóttir, Lovik, Unnarsdóttir, McCartney, Ask, Kõiv and Pedersen2022). Further, observational studies have shown that individuals with PCC are at risk for DSM-5 Somatic Symptom Disorder (SSD) indicating the presence of psychobehavioral features (e.g. catastrophizing thoughts, health anxiety, specific illness behaviors) that might interfere with successful coping of PCC and thus contribute to somatic symptom distress (Horn et al., Reference Horn, Wathelet, Amad, Martignène, Lathiere, Khelfaoui and D'Hondt2023; Kachaner et al., Reference Kachaner, Lemogne, Dave, Ranque, de Broucker and Meppiel2022; Schneider et al., Reference Schneider, Huber, Lohse, Linde, Greissel, Sattel and Hapfelmeier2023; Willis & Chalder, Reference Willis and Chalder2021).

Based on treatment suggestions for PSS (e.g. Henningsen, Zipfel, & Herzog, Reference Henningsen, Zipfel and Herzog2007), guidelines for PCC mostly recommend multidisciplinary rehabilitation strategies focusing on self-management (Koczulla et al., Reference Koczulla, Ankermann, Behrends, Berlit, Berner, Böing and Zwick2022; Shah, Hillman, Playford, & Hishmeh, Reference Shah, Hillman, Playford and Hishmeh2021). In Germany, existing rehabilitation programs have been adapted to the treatment of PCC and are currently evaluated (Kupferschmitt et al., Reference Kupferschmitt, Hinterberger, Montanari, Gasche, Hermann, Jöbges and Köllner2022). So far, these programs have been shown to be beneficial for PCC patients, and effects may be comparable to those of other rehabilitation cohorts (e.g. psychocardiology patients; Kupferschmitt et al., Reference Kupferschmitt, Langheim, Tüter, Etzrodt, Loew and Köllner2023). A common component of multidisciplinary rehabilitation programs, particularly those aimed at self-management of PSS, are psychological interventions such as cognitive-behavioral therapy (CBT). CBT protocols for PSS typically include interventions that address common psychophysiological interactions and promote adaptive coping strategies (e.g. stress management, cognitive restructuring, behavioral activation; Witthöft & Hiller, Reference Witthöft and Hiller2010), yielding small to medium-sized effects on the reduction of somatic symptom severity including fatigue (Ingman, Smakowski, Goldsmith, & Chalder, Reference Ingman, Smakowski, Goldsmith and Chalder2022; Kleinstäuber, Witthöft, & Hiller, Reference Kleinstäuber, Witthöft and Hiller2011; Price, Mitchell, Tidy, & Hunot, Reference Price, Mitchell, Tidy and Hunot2008; Van Dessel et al., Reference Van Dessel, den Boeft, van der Wouden, Kleinstäuber, Leone, Terluin and van Marwijk2014). Despite promising first results (Frisk et al., Reference Frisk, Jürgensen, Espehaug, Njøten, Søfteland, Aarli and Kvale2023; Kuut et al., Reference Kuut, Müller, Csorba, Braamse, Aldenkamp, Appelman and Knoop2023), the application of CBT principles for the treatment of PCC is still under research.

The present study aims to examine the feasibility of a specific CBT protocol for the treatment of PCC. Therefore, we developed a comprehensive CBT-based group therapy program (CBT-PCC) that addresses common challenges of coping with PSS. The feasibility, acceptance, and effectiveness were evaluated in a cohort of inpatients fulfilling PCC criteria in a neurological rehabilitation setting.

Methods

Participants and procedure

Participants were recruited during inpatient neurological rehabilitation for PCC between February and July 2022 in the Kliniken Schmieder Konstanz and Gailingen, Germany. On admission, patients were screened for eligibility (including PCC assessment) and informed about CBT-PCC by a clinic physician during a medical interview. Inclusion criteria were the fulfillment of PCC criteria according to the WHO (i.e. history of probable or confirmed SARS-CoV-2 infection, at least one symptom after ⩾3 months post-infection, symptom persistence for ⩾2 months, symptom(s) cannot be explained by an alternative diagnosis, impact on everyday functioning; Soriano et al., Reference Soriano, Murthy, Marshall, Relan and Diaz2022), age of at least 18 years, literacy in German, and written informed consent. History of SARS-CoV-2 infection was confirmed based on medical documentation by the referring physician. Exclusion criteria were mechanical ventilation or admission to an intensive care unit during acute COVID-19 and a diagnosis of schizophrenia spectrum disorders or acute substance addiction.

This study was conducted as a single-group, uncontrolled clinical trial. After each session, participants and therapists completed session evaluation questionnaires. Psychometric assessment of somatic and psychopathological symptom burden occurred pre- and post-intervention (i.e. after a maximum of four weeks or at discharge from inpatient rehabilitation). Additionally, a structured clinical diagnostic interview to examine mental disorders was added to pre-intervention assessment. Post-intervention assessment contained a standardized measure to examine adverse events.

The trial was retrospectively registered at the German Clinical Trials Register (www.drks.de, DRKS00031219). The study protocol was reviewed and approved by the ethics board of the University of Konstanz (approval number 44/2021, December 13, 2021). All participants provided written informed consent prior to the initiation of any study procedures. Refusal to participate or discontinuation of the study did not result in any negative consequences for the inpatient rehabilitation treatment.

Treatment

The group intervention comprised eight modules (à 60 min, over four weeks) and was offered additionally to routine inpatient neurological rehabilitation (e.g. medical consultation, physiotherapy, medical training therapy, occupational therapy, cognitive training, individual psychotherapeutic sessions). The treatment protocol was based on an established CBT manual for SSD (Kleinstäuber, Thomas, Witthöft, & Hiller, Reference Kleinstäuber, Thomas, Witthöft and Hiller2018), which has been shown to effectively reduce somatic symptom distress in recent trials (Hennemann et al., Reference Hennemann, Böhme, Kleinstäuber, Baumeister, Küchler, Ebert and Witthöft2022; Kleinstäuber et al., Reference Kleinstäuber, Allwang, Bailer, Berking, Brünahl, Erkic and Rief2019). The suggested interventions of the treatment protocol were reviewed in advance by practitioners from PCC rehabilitation and transcribed in a study manual that was provided to the study therapists. Modules were included in the following order: (1) introduction and goal setting, (2) psychoeducation, (3) stress education and relaxation, (4) attention modification, (5) cognitive restructuring, (6) balancing physical activity, (7) stress management, and (8) summary and transfer. Each module began with a breathing exercise and ended with the assignment of homework. Because the original treatment manual was not tailored to a specific somatic symptom cluster, we largely maintained the transsymptomatic character to ensure appropriateness for a wide range of PCC phenotypes and other treatment settings during the development of CBT-PCC. Nonetheless, PCC-specific modifications were implemented to some extent, most notably through a particular emphasis on breathing exercises, PCC-specific psychoeducation (e.g. appearance, course, epidemiology), and session modalities (i.e. duration, amount of content). Content and therapeutic strategies of CBT-PCC are shown in Table 1.

Table 1. Content and therapeutic strategies of the group program

Note. PCC, Post-COVID-19 condition.

Three licensed psychotherapists and two psychologists in neuropsychological training that were trained in a 1-day workshop (provided by DH and MW) delivered the intervention. In addition, a training cycle of the group program was conducted prior to data collection.

Measures

Session evaluations

For session evaluations, we used the Group Therapy Session Evaluation form (GTS; Rief, Bleichhardt, & Timmer, Reference Rief, Bleichhardt and Timmer2002; Zoubek, Reference Zoubek2013). The GTS is a German self-report instrument to assess evaluations of therapeutic processes such as satisfaction, personal involvement, perceived usefulness, atmosphere, and comprehensibility in patients (GTS-P) and therapists (GTS-T). The patient version comprises eight items that are rated on a 5-point scale (0 = ‘disagree’ to 4 = ‘agree’). In the study sample, the GTS-P showed high internal consistencies across sessions (α = 0.85–0.94). For the therapist version, items were reformulated in terms of how therapists rate patients’ perceptions of the same aspects. In addition, items are included to assess therapists’ satisfaction with the session, as well as ratings of how well the protocol is applicable and meets patients’ needs. The GTS-T comprises 12 items, each rated on the same 5-point scale and showed high internal consistencies (α = 0.85–0.96) as well. Higher scores reflect a more positive judgment of the session, except for item 9 of the GTS-T, which is inverted.

Adverse events

Adverse events during the intervention were monitored using the Unwanted Events in Group Therapy Scale (UE-G; Linden, Walter, Fritz, & Muschalla, Reference Linden, Walter, Fritz and Muschalla2015). It includes 47 events regarding different domains (i.e. room situation, session content, participant behavior, therapist behavior, undesirable long-term effects, global evaluation) that are rated on a 5-point scale (0 = ‘did not occur’ to 4 = ‘did occur and was extremely burdensome’).

Somatic symptom distress and fatigue

Somatic symptom distress was measured using the somatic symptom scale of the Patient Health Questionnaire (PHQ-15; Kroenke, Spitzer, & Williams, Reference Kroenke, Spitzer and Williams2002) and the Somatic Symptom Disorder – B criteria scale (SSD-12; Toussaint et al., Reference Toussaint, Murray, Voigt, Herzog, Gierk, Kroenke and Löwe2016). The PHQ-15 is a validated self-report screening that assesses the severity of 15 common somatic symptoms during the last four weeks on a 3-point scale (0 = ‘not bothered at all’ to 2 = ‘bothered a lot’). The total score ranges between 0 and 30 points and scores ⩾5, ⩾10, and ⩾15 can be considered cut-off points for mild, medium, and severe somatic symptom severity, respectively. The SSD-12 measures psychobehavioral features of somatic symptom distress according to the B criterion of SSD. The 12 items are rated on a 5-point scale (0 = ‘never’ to 4 = ‘very often’) and can be aggregated to a global sum score (range 0 − 48).

Because fatigue represents a core symptom of PCC, subjective fatigue was measured more specifically using the Fatigue Severity Scale (FSS; Krupp, LaRocca, Muir-Nash, & Steinberg, Reference Krupp, LaRocca, Muir-Nash and Steinberg1989). The FSS is a self-report questionnaire and comprises nine statements that are rated on a 7-point scale (1 = ‘does not apply’ to 7 = ‘does fully apply’) and averaged for a composite score. The proposed cut-off for clinically relevant fatigue severity is ⩾4. The internal consistencies in this study were Cronbach's α = 0.77, 0.89, and 0.94 for PHQ-15, SSD-12, and FSS, respectively.

Depression and anxiety

Depressive symptoms were measured using the depression scale of the Patient Health Questionnaire (PHQ-9; Kroenke and Spitzer, Reference Kroenke and Spitzer2002) that includes nine symptoms of depression that are rated for the last two weeks on a 4-point scale (0 = ‘not at all’ to 3 = ‘nearly every day’, range 0 − 27). The proposed cut-off for screening for depression is ⩾10. Anxiety symptoms were measured with the Generalized Anxiety Disorder Questionnaire (GAD-7; Spitzer, Kroenke, Williams, & Löwe, Reference Spitzer, Kroenke, Williams and Löwe2006) that includes seven symptoms of general anxiety that are rated for the last two weeks on a 4-point scale (0 = ‘not at all’ to 3 = ‘nearly every day’, range 0 − 21). The proposed cut-off for screening for anxiety disorders is ⩾10. Internal consistencies in the present study were Cronbach's α = 0.80 and 0.92 for PHQ-9 and GAD-7, respectively.

Illness-related cognitions

For the assessment of illness-related cognitions, the Illness Cognition Questionnaire (ICQ; Evers et al., Reference Evers, Kraaimaat, van Lankveld, Jongen, Jacobs and Bijlsma2001) was administered. The ICQ comprises 18 statements regarding cognitions of helplessness, acceptance, and perceived benefits of chronic diseases that are rated on a 4-point scale (1 = ‘not at all’ to 4 = ‘completely’; subscale range 6 − 24). Further, illness-related self-efficacy was measured using the self-efficacy module of the Hamburg Modules for the Assessment of Psychosocial Health in Clinical Practice (HEALTH-49; Rabung et al., Reference Rabung, Harfst, Kawski, Koch, Wittchen and Schulz2009). It comprises five items that are rated for the last two weeks on a 5-point scale (0 = ‘not at all’ to 4 = ‘very much’) and are averaged for a composite score. In the current study, the internal consistencies of the ICQ subscales varied between Cronbach's α = 0.80 and 0.91. For the self-efficacy module of the HEALTH-49, internal consistency was Cronbach's α = 0.85.

Additional measures

Additional measures included a sociodemographic questionnaire assessing age, gender, education, and employment status at baseline. COVID-19-related information such as infection date was retrieved from baseline medical documentation. Because symptom onset was not reported, the difference between infection date and study enrollment served as a proxy for PCC duration. Diagnoses of mental disorders were assessed using the German version of the Structured Clinical Interview for DSM-5 Disorders (SCID-5; Beesdo-Baum, Zaudig, & Wittchen, Reference Beesdo-Baum, Zaudig and Wittchen2019).

Statistical analyses

We used IBM SPSS version 23 (SPSS Inc., Chicago, Illinois) for data analysis. For session evaluations, we calculated item means and standard deviations of both GTS versions for every session. For pre-post comparisons of somatic and psychopathological symptom burden, we conducted paired samples t tests and calculated within-group effects as d av (Lakens, Reference Lakens2013) with the intention-to-treat (ITT) sample and a per-protocol subsample of participants who completed pre- and post-intervention assessments and were adherent to the treatment (i.e. attended ⩾6 sessions). Missing data at post-intervention assessment were handled using the last observation carried forward (LOCF) method. For adverse events, frequencies and item means of the UE-G were calculated. All tests were two-sided with a significance level of 0.05.

Results

Participant characteristics

Figure 1 shows the flow of participants through the trial. Between February 1, 2022, and July 7, 2022, 90 patients admitted to neurological inpatient rehabilitation for PCC were screened for eligibility, of which 64 patients were positively screened and gave informed consent to participate in the study. One participant did not complete pre-intervention assessment and 22 participants did not complete post-intervention assessment. Participants who attended at least one session (n = 51 [79.7%]) completed on average 6.43 (s.d. = 1.80) out of eight modules. Thirteen (20.3%) participants did not attend any session of CBT-PCC. The most common dropout reasons were scheduling conflicts with other treatment components and early discharge from inpatient rehabilitation. Regarding baseline sociodemographic and clinical characteristics, participants who adhered to the study protocol (n = 32 [50.0%]; i.e. completion of pre- and post-intervention assessments and attendance of ⩾6 sessions) reported significantly less somatic (PHQ-15; M (s.d.)Per-protocol = 11.88 (4.69), M (s.d.)Drop-out = 14.74 (4.96), t(61) = 2.36, p = 0.022), depressive (PHQ-9; M (s.d.)Per-protocol = 9.31 (4.65), M (s.d.)Drop-out = 13.32 (4.96), t(61) = 3.31, p = 0.002), and anxiety symptoms (GAD-7; M (s.d.)Per-protocol = 4.84 (4.77), M (s.d.)Drop-out = 7.48 (5.30), t(61) = 2.08, p = 0.042), as well as less helplessness (ICQ; M (s.d.)Per-protocol = 14.13 (3.26), M (s.d.)Drop-out = 16.50 (4.46), Welch's t(53.05) = 2.36, p = 0.022) than participants who discontinued study and/or intervention participation. No further significant differences were observed between per-protocol participants and dropouts in terms of baseline characteristics (ps > 0.05; see online Supplementary Table A.1).

Figure 1. Participant flow. ITT, intention-to-treat. Participants were included in the per-protocol analysis if they completed pre-post assessments and attended ⩾6 sessions.

Participants (n = 63) were predominantly female (51 [81.0%]) with a mean age of 47.05 years (s.d. = 11.45, range 22 − 63). At baseline, symptom prevalence measured with the PHQ-15 (ratings ⩾1) was highest for feeling tired or having low energy (96.8%), headaches (88.8%), trouble sleeping (84.1%), pain in arms, legs, or joints (80.7%), and shortness of breath (79.4%). Forty-seven (74.6%) participants experienced medium-to-high levels of somatic symptom severity, and 31 (49.2%) participants were at risk for SSD using a combined cutoff score of PHQ-15 (⩾9) and SSD-12 (⩾23; Toussaint, Hüsing, Kohlmann, and Löwe, Reference Toussaint, Hüsing, Kohlmann and Löwe2020). Moreover, 57 (90.5%), 37 (58.7%), and 14 (22.2%) showed clinically relevant levels of fatigue, depressive, and anxiety symptoms, respectively. The mean time between first SARS-CoV-2 infection and study participation was 62.45 weeks (s.d. = 27.67, range 13.29 − 121.14). Table 2 summarizes sociodemographic and clinical characteristics of the sample.

Table 2. Sociodemographic and clinical characteristics of the sample at baseline

Note. an = 62, bn = 61, cn = 60. PHQ-15, Patient Health Questionnaire – somatic symptom scale; SSD-12, Somatic Symptom Disorder – B criteria scale; FSS, Fatigue Severity Scale; PHQ-9, Patient Health Questionnaire – depression scale; GAD-7, General Anxiety Disorder Scale; HEALTH-49, Hamburg Modules for the Assessment of Psychosocial Health; ICQ, Illness Cognition Questionnaire.

The SCID-5 was conducted with 61 participants. Thirty-three (54.1%) participants were diagnosed with at least one current mental disorder. The most frequent disorder categories were depressive disorders (n = 16), somatic symptom and related disorders (n = 15) and anxiety disorders (n = 11). A single mental disorder was diagnosed in 20 (32.8%) participants. A second comorbidity was present in ten (16.4%), and a third or fourth comorbidity was present in three (4.9%) participants. When past mental disorders are also considered, the proportion of participants with at least one mental disorder during lifetime increases to 60.7% (n = 37). Frequencies of all assigned SCID-5 diagnoses are depicted in online Supplementary Table A.2.

Session evaluations

Session evaluations by the participants (GTS-P) are listed in Table 3. The mean ratings per session were high across all sessions (all total means ⩾3, possible range 0 − 4) and varied from 3.01 (s.d. = 0.95, module 8) to 3.49 (s.d. = 0.58, module 6). Satisfaction with the session was high for every session (item 8: all means ⩾3). Participants were actively engaged (items 1 − 2: all means ⩾3) and rated every session as comprehensible (item 3: all means ⩾3). The perceived usefulness for disease coping, especially for modules 1, 2, and 8, was rated on average slightly lower (see items 4 − 6).

Table 3. Session evaluation by participants

Note. an = 47, bn = 45, cn = 44, dn = 41, en = 33. GTS-P, group therapy session evaluation by patients. Items were rated on a 5-point scale from (0) „disagree” to (4) „agree”.

The average session evaluation ratings by the therapists (GTS-T) varied more between sessions compared to participants, ranging from 2.08 (s.d. = 0.56) in module 3 to 3.54 (s.d. = 0.48) in module 8. Therapists’ ratings of their satisfaction were comparatively lower for sessions 1 to 3 (item 12: each mean <3), but eventually increased to an equivalent level for sessions 4 to 8 (each mean ⩾3). Therapists’ ratings of comprehensibility (item 3) and applicability (item 10) of each module followed a similar trend. Detailed GTS-T ratings are shown in online Supplementary Table A.3.

Adverse events

At least one adverse event was reported by 85.4% of the participants (i.e. at least one UE-G item ⩾1), 29.3% reported severe and extremely distressing events (i.e. at least one UE-G item ⩾3). The highest item mean scores were observed for ‘I realized how complicated everything is’ (M = 1.10, s.d. = 1.24), ‘I was afraid not to know how to proceed in the future’ (M = 0.78, s.d. = 1.11), and ‘I felt that my problems are more severe than I thought before’ (M = 0.71, s.d. = 1.17). Results for all events are shown in online Supplementary Table A.4.

Pre-post comparisons

Results of the ITT analysis (n = 63) are depicted in Table 4. Pre-post differences showed a significant reduction in subjective fatigue (FSS: t(62) = −2.60, p = 0.012, d av = 0.33), and helplessness (ICQ: t(60) = −2.99, p = 0.004, d av = 0.39), as well as increased acceptance (ICQ: t(60) = 3.31, p = 0.002, d av = 0.43), perceived benefits ratings (ICQ: t(60) = 3.78, p < 0.001, d av = 0.49), and illness-related self-efficacy (HEALTH-49: t(61) = 2.61, p = 0.011, d av = 0.33). Per-protocol analysis (n = 32; see online Supplementary Table A.5) showed similar results with descriptively slightly larger effect sizes for these measures (FSS: t(31) = −2.70, p = 0.011, d av = 0.48; ICQHelplessness: t(30) = −3.53, p = 0.001, d av = 0.64; ICQAcceptance: t(30) = 3.97, p < 0.001, d av = 0.72; ICQBenefits: t(30) = 4.13, p < 0.001, d av = 0.75; HEALTH-49: t(30) = 2.41, p = 0.022, d av = 0.43). The other measures did not yield any significant changes in any of the analyses.

Table 4. Pre-post comparisons of self-report measures for the intention-to-treat sample

Note. an = 62, bn = 61. PHQ-15, Patient Health Questionnaire – somatic symptom scale; SSD-12, Somatic Symptom Disorder – B criteria scale; FSS, Fatigue Severity Scale; PHQ-9, Patient Health Questionnaire – depression scale; GAD-7, General Anxiety Disorder Scale; HEALTH-49, Hamburg Modules for the Assessment of Psychosocial Health; ICQ, Illness Cognition Questionnaire.

Discussion

Identifying effective treatments is important to reduce somatic symptom burden and restore premorbid levels of functioning of people who developed long-term health sequelae of COVID-19. So far, non-pharmacological interventions including psychological interventions are among the most promising treatment options and are currently implemented by health care providers based on existing multidisciplinary rehabilitation approaches (Kupferschmitt et al., Reference Kupferschmitt, Hinterberger, Montanari, Gasche, Hermann, Jöbges and Köllner2022). However, the evidence on the efficacy, acceptability, and safety of specific treatment options is scarce. The present study examined the feasibility of a comprehensive CBT-based group therapy program targeting psychophysiological mechanisms of somatic symptom distress in a sample of inpatients with PCC.

Most importantly, our results support that CBT-PCC is feasible, well accepted, and potentially effective as part of inpatient neurological rehabilitation. In particular, participants’ evaluations of the therapeutic process were on average very positive across all sessions and the module completion rate among those who received the intervention was substantial. Participants’ ratings of the comprehensibility and atmosphere of the sessions were consistently positive, and their active engagement was high. Similarly, the assessment of the sessions’ usefulness for disease coping was good. The fact that ratings were comparatively lower for sessions 1, 2, and 8 is in line with the structure of the treatment protocol, which promotes adaptive coping strategies particularly in sessions 3 to 7. The therapists' evaluations of the treatment protocol varied more between sessions, starting at a moderate level until eventually matching the participants' evaluations from mid-intervention onward. For adverse effects, we chose a rather sensitive measure resulting in higher rates of unwanted events at first sight. However, rates are comparable to other trials evaluating CBT-based group therapy programs with the same instrument (Linden, Muschalla, & Walter, Reference Linden, Muschalla and Walter2020). Also, the most frequently reported events may reflect to some point common psychotherapeutic processes (e.g. problem actuation) that are not inherently unwanted (Grawe, Reference Grawe1997). Thus, the presented treatment protocol can be regarded as safe.

Our results are in line with previous studies examining acceptability of CBT for PSS in other clinical populations, e.g. SSD, migraine, chronic fatigue (Adamson, Ali, Santhouse, Wessely, & Chalder, Reference Adamson, Ali, Santhouse, Wessely and Chalder2020; Klan, Liesering-Latta, Gaul, Martin, & Witthöft, Reference Klan, Liesering-Latta, Gaul, Martin and Witthöft2019; Sharpe et al., Reference Sharpe, Walker, Williams, Stone, Cavanagh, Murray and Carson2011; Verdurmen, Videler, Kamperman, Khasho, & van der Feltz-Cornelis, Reference Verdurmen, Videler, Kamperman, Khasho and van der Feltz-Cornelis2017). Developing interventions that are feasible and accepted by the target population seems important as such factors may positively influence therapeutic outcomes and the implementation of new treatment options under naturalistic conditions (Proctor et al., Reference Proctor, Landsverk, Aarons, Chambers, Glisson and Mittman2009). In fact, positive evaluations of general (e.g. alliance; Flückiger, Del Re, Wampold, & Horvath, Reference Flückiger, Del Re, Wampold and Horvath2018) and group-specific therapeutic processes (e.g. cohesion; Burlingame, McClendon, & Yang, Reference Burlingame, McClendon and Yang2018) have been shown to be positively related with the outcome of psychological interventions. For disorders that are marked by the presence of PSS, observational studies indicate that patients benefit more from biopsychosocial interventions when they are satisfied with treatment or perceive the intervention as helpful and appropriate for their symptoms (Beehler et al., Reference Beehler, Loughran, King, Dollar, Murphy, Kearney and Goldstein2021; Nees et al., Reference Nees, Riewe, Waschke, Schiltenwolf, Neubauer and Wang2020; Rief et al., Reference Rief, Bleichhardt and Timmer2002). In comparison, less is known about the influence of therapists’ evaluations of the therapeutic process. Similar to our results, therapists’ evaluations have been more critical compared with those of participants in previous studies (Puschner, Bauer, Kraft, & Kordy, Reference Puschner, Bauer, Kraft and Kordy2015; Viefhaus et al., Reference Viefhaus, Döpfner, Dachs, Goletz, Görtz-Dorten, Kinnen and Walter2019), but process-outcome relationships may be weaker for therapist ratings (Horvath & Symonds, Reference Horvath and Symonds1991). In general, health care providers may be more critical regarding delivered treatments due to their professional background, enabling them to reflect more in depth on an intervention. Upon study completion, we offered a feedback session to the study therapists to better understand the relatively lower satisfaction with the initial sessions and to identify potential needs for modification of the treatment protocol. Feedback was mostly related to a discrepancy between the time available and the proposed schedule of the sessions while generally being satisfied with content and interventions. We addressed the therapists’ feedback by shortening and further manualizing the schedule of the initial sessions in a modified version of the treatment protocol.

In addition, pre-post comparisons suggest that the treatment program may reduce subjective fatigue and improve disease coping on a cognitive level with small- to medium-sized within-group effects. This is consistent with previous studies showing that CBT effectively reduces fatigue severity in chronic fatigue syndrome and fatigue related to other diseases such as multiple sclerosis (Harrison et al., Reference Harrison, Safari, Mercer, Picariello, van der Linden, White and Norton2021; Price et al., Reference Price, Mitchell, Tidy and Hunot2008). Moreover, the observed changes in illness cognitions may be of particular relevance. In a recent meta-analysis, differences in pre-treatment cognitive characteristics have been shown to predict patients’ outcome in CBT for PSS suggesting that illness cognitions represent important features that should be addressed by psychological interventions (Sarter et al., Reference Sarter, Heider, Kirchner, Schenkel, Witthöft, Rief and Kleinstäuber2021). In line with that, CBT indirectly reduced fatigue severity in cancer patients by changing fatigue self-efficacy (Poort et al., Reference Poort, Müller, Bleijenberg, Verhagen, Verdam, Nieuwkerk and Knoop2021). Contrary to previous results (Kleinstäuber et al., Reference Kleinstäuber, Witthöft and Hiller2011), we did not find significant reductions of somatic and psychopathological symptom burden, but at the descriptive level differences tended in the expected direction. Interpretation of these results should consider a potentially inadequate treatment dose. Previous work has proposed a positive dose-response relationship for psychological interventions for somatic symptoms (Glombiewski et al., Reference Glombiewski, Sawyer, Gutermann, Koenig, Rief and Hofmann2010; Kleinstäuber et al., Reference Kleinstäuber, Witthöft and Hiller2011). In contrast, CBT-PCC comprised eight sessions delivered within four weeks. Considering the short period of time while simultaneously providing a broad variety of novel interventions, increasing the treatment dose to more sessions may be more helpful for participants to adopt the newly learned coping strategies. However, because CBT-PCC was embedded in routine inpatient rehabilitation and additional treatment components mostly complemented the cognitive-behavioral approach (e.g. physiotherapy, individual psychotherapeutic sessions, relaxation training), we assume the overall treatment dose the sample received as sufficient. Interestingly, for behavioral treatments of chronic pain, shorter treatments actually performed better than longer treatments, suggesting that individuals recover more quickly when offered fewer sessions from the outset (Glombiewski et al., Reference Glombiewski, Holzapfel, Riecke, Vlaeyen, de Jong, Lemmer and Rief2018). Another explanation may be the small time difference between pre- and post-intervention assessment. Despite evidence for a substantial improvement of disease coping in our sample, less is known about how long it takes for these changes to translate into a reduction of somatic or psychopathological symptom burden. Because the time difference between assessments was small and post-intervention assessment was administered before discharge from inpatient rehabilitation (i.e. after a maximum of four weeks and before return to daily life), the study design may not have been optimal to detect changes in these measures. Therefore, future studies should include longer follow-up periods to address this issue.

Participants in our sample experienced predominantly fatigue, but overall, reported symptoms were polysymptomatic and reported alongside elevated psychological distress. The average time since SARS-CoV-2 infection was approximately 62 weeks and the proportion of people reporting psychobehavioral features of somatic symptom distress was comparable to other cohorts with PCC after mild COVID-19 in a neurological setting (Fleischer et al., Reference Fleischer, Szepanowski, Tovar, Herchert, Dinse, Schweda and Kleinschnitz2022; Kachaner et al., Reference Kachaner, Lemogne, Dave, Ranque, de Broucker and Meppiel2022). In addition, a substantial proportion of our sample was diagnosed with a current mental disorder. The elevated psychopathological symptom burden among PCC patients, including the high rate of psychiatric comorbidities, corroborates the need for integrative approaches to the understanding and treatment of PCC (Lemogne et al., Reference Lemogne, Gouraud, Pitron and Ranque2023). Although we cannot elaborate on the temporal relationship between PCC and psychiatric comorbidities, their co-occurrence clearly demonstrates the relevance of psychotherapeutic treatment strategies for PCC. Besides CBT-PCC primarily targeting somatic symptom distress, many of the proposed interventions have a transdiagnostic character (e.g. stress management, cognitive restructuring), thus CBT-PCC might be particularly suited for dealing with psychiatric comorbidities. Consistent with this, our results demonstrated the acceptability of CBT-PCC for a chronically and complex burdened sample. Generalizability of our results to other phenotypes of PCC (e.g. post-intensive care syndrome; Yong & Liu, Reference Yong and Liu2022) may be restricted due to the exclusion of people with severe courses of acute COVID-19, but CBT has been shown to be indicated for PSS with varying extent of biological underpinnings (McNaughton et al., Reference McNaughton, Hush, Beath, Gandy, Dear and Jones2019). Nonetheless, research concerning the application of specific treatment options for different phenotypes of PCC is needed to allow for evidence-based, personalized treatment decisions.

Several limitations have to be considered when interpreting our results. The lack of a control group, the small sample size, and the relatively high drop-out rate restrict the interpretation of the data. More precisely, the study design does not allow treatment effects to be attributed to the intervention since we pursued a one-group design and participants additionally received routine inpatient treatment. In addition, health insurance coverage for inpatient rehabilitation did not cover the entire intervention duration in some cases, resulting in participants being discharged before study completion. Moreover, results may have been biased due to the self-selection of participants, and because discontinuation of the study was associated with baseline clinical characteristics. Lastly, information on the long-term effects of the intervention is missing.

Conclusion

The post-COVID-19 condition affects a significant proportion of people after COVID-19, leading to a substantial burden on both an individual and societal level (Davis et al., Reference Davis, Assaf, McCorkell, Wei, Low, Re'em and Akrami2021), but research on effective treatments for PCC is still at an early stage. Our results provide evidence for the feasibility, acceptability, and safety of a specialized CBT protocol in inpatients with PCC. With regard to treatment effects for PSS (Kleinstäuber et al., Reference Kleinstäuber, Witthöft and Hiller2011), we assume CBT-based interventions to be an adequate option for PCC as well, but so far, only few promising treatment protocols exist (Frisk et al., Reference Frisk, Jürgensen, Espehaug, Njøten, Søfteland, Aarli and Kvale2023; Kuut et al., Reference Kuut, Müller, Csorba, Braamse, Aldenkamp, Appelman and Knoop2023; Skilbeck, Reference Skilbeck2022). Therefore, future studies should examine the efficacy of CBT-PCC in randomized controlled trials. In addition, effective treatment options for other associated symptoms (e.g. cognitive deficits) are needed and should be combined within multidisciplinary rehabilitation approaches to address the complexity and diverse phenotypes of PCC.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0033291723002921.

Acknowledgements

The authors wish to thank Evelina Albach, Michaela Humbek, Sina Marchione, Isabella Oswald, and Katrin Wiesand for intervention delivery and ongoing feedback on the feasibility of the treatment protocol, Julian Merx with data acquisition, and Alan Ibrahim for help with data entry. The authors also thank the inpatients that consented to participate in the study.

Funding statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Competing interest

None.

Ethical standards

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.

References

Adamson, J., Ali, S., Santhouse, A., Wessely, S., & Chalder, T. (2020). Cognitive behavioural therapy for chronic fatigue and chronic fatigue syndrome: Outcomes from a specialist clinic in the UK. Journal of the Royal Society of Medicine, 113(10), 394402. doi:10.1177/0141076820951545CrossRefGoogle ScholarPubMed
Beehler, G. P., Loughran, T. A., King, P. R., Dollar, K. M., Murphy, J. L., Kearney, L. K., & Goldstein, W. R. (2021). Patients' perspectives of brief cognitive behavioral therapy for chronic pain: Treatment satisfaction, perceived utility, and global assessment of change. Families, Systems & Health, 39(2), 351357. doi:10.1037/fsh0000606CrossRefGoogle ScholarPubMed
Beesdo-Baum, K., Zaudig, M., & Wittchen, H-U (2019). Strukturiertes Klinisches Interview für DSM-5®-Störungen: SCID-5-CV - Klinische Version [The structured clinical interview for DSM-5: SCID-5-CV – Clinician Version]. Göttingen: Hogrefe.Google Scholar
Burlingame, G. M., McClendon, D. T., & Yang, C. (2018). Cohesion in group therapy: A meta-analysis. Psychotherapy, 55(4), 384398. doi:10.1037/pst0000173CrossRefGoogle ScholarPubMed
Chen, C., Haupert, S. R., Zimmermann, L., Shi, X., Fritsche, L. G., & Mukherjee, B. (2022). Global prevalence of post COVID-19 condition or long COVID: A meta-analysis and systematic review. The Journal of Infectious Diseases, 226(9), 15931607. doi:10.1093/infdis/jiac136CrossRefGoogle ScholarPubMed
Davis, H. E., Assaf, G. S., McCorkell, L., Wei, H., Low, R. J., Re'em, Y., … Akrami, A. (2021). Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. EClinicalMedicine, 38, 101019. doi:10.1016/j.eclinm.2021.101019CrossRefGoogle Scholar
Dong, F., Liu, H-L, Dai, N., Yang, M., & Liu, J-P (2021). A living systematic review of the psychological problems in people suffering from COVID-19. Journal of Affective Disorders, 292, 172188. doi:10.1016/j.jad.2021.05.060CrossRefGoogle ScholarPubMed
Engel, G. L. (1977). The need for a new medical model: A challenge for biomedicine. Science (New York, N.Y.), 196(4286), 129136. doi:10.1126/science.847460CrossRefGoogle Scholar
Evers, A. W., Kraaimaat, F. W., van Lankveld, W., Jongen, P. J., Jacobs, J. W., & Bijlsma, J. W. (2001). Beyond unfavorable thinking: The illness cognition questionnaire for chronic diseases. Journal of Consulting and Clinical Psychology, 69(6), 10261036. doi:10.1037/0022-006X.69.6.1026CrossRefGoogle ScholarPubMed
Fleischer, M., Szepanowski, F., Tovar, M., Herchert, K., Dinse, H., Schweda, A., … Kleinschnitz, C. (2022). Post-COVID-19 syndrome is rarely associated with damage of the nervous system: Findings from a prospective observational cohort study in 171 patients. Neurology and Therapy, 11, 16371657. doi:10.1007/s40120-022-00395-zCrossRefGoogle ScholarPubMed
Flückiger, C., Del Re, A. C., Wampold, B. E., & Horvath, A. O. (2018). The alliance in adult psychotherapy: A meta-analytic synthesis. Psychotherapy, 55(4), 316340. doi:10.1037/pst0000172CrossRefGoogle Scholar
Frisk, B., Jürgensen, M., Espehaug, B., Njøten, K. L., Søfteland, E., Aarli, B. B., & Kvale, G. (2023). A safe and effective micro-choice based rehabilitation for patients with long COVID: Results from a quasi-experimental study. Scientific Reports, 13(1), 9423. doi:10.1038/s41598-023-35991-yCrossRefGoogle ScholarPubMed
Glombiewski, J. A., Holzapfel, S., Riecke, J., Vlaeyen, J. W., de Jong, J., Lemmer, G., & Rief, W. (2018). Exposure and CBT for chronic back pain: An RCT on differential efficacy and optimal length of treatment. Journal of Consulting and Clinical Psychology, 86(6), 533545. doi:10.1037/ccp0000298CrossRefGoogle ScholarPubMed
Glombiewski, J. A., Sawyer, A. T., Gutermann, J., Koenig, K., Rief, W., & Hofmann, S. G. (2010). Psychological treatments for fibromyalgia: A meta-analysis. Pain, 151(2), 280295. doi:10.1016/j.pain.2010.06.011CrossRefGoogle ScholarPubMed
Grawe, K. (1997). Research-informed psychotherapy. Psychotherapy Research, 7(1), 119. doi:10.1080/10503309712331331843CrossRefGoogle Scholar
Groff, D., Sun, A., Ssentongo, A. E., Ba, D. M., Parsons, N., Poudel, G. R., … Chinchilli, V. M. (2021). Short-term and long-term rates of postacute sequelae of SARS-CoV-2 infection: A systematic review. JAMA Network Open, 4(10), e2128568. doi:10.1001/jamanetworkopen.2021.28568CrossRefGoogle ScholarPubMed
Harrison, A. M., Safari, R., Mercer, T., Picariello, F., van der Linden, M. L., White, C., … Norton, S. (2021). Which exercise and behavioural interventions show most promise for treating fatigue in multiple sclerosis? A network meta-analysis. Multiple Sclerosis Journal, 27(11), 16571678. doi:10.1177/1352458521996002CrossRefGoogle ScholarPubMed
Hennemann, S., Böhme, K., Kleinstäuber, M., Baumeister, H., Küchler, A-M, Ebert, D. D., & Witthöft, M. (2022). Internet-based CBT for somatic symptom distress (iSOMA) in emerging adults: A randomized controlled trial. Journal of Consulting and Clinical Psychology, 90(4), 353365. doi:10.1037/ccp0000707CrossRefGoogle ScholarPubMed
Henningsen, P., Zipfel, S., & Herzog, W. (2007). Management of functional somatic syndromes. The Lancet, 369(9565), 946955. doi:10.1016/s0140-6736(07)60159-7CrossRefGoogle ScholarPubMed
Horn, M., Wathelet, M., Amad, A., Martignène, N., Lathiere, T., Khelfaoui, K., … D'Hondt, F. (2023). Persistent physical symptoms after COVID-19 infection and the risk of Somatic Symptom Disorder. Journal of Psychosomatic Research, 166, 111172. doi:10.1016/j.jpsychores.2023.111172CrossRefGoogle ScholarPubMed
Horvath, A. O., & Symonds, B. D. (1991). Relation between working alliance and outcome in psychotherapy: A meta-analysis. Journal of Counseling Psychology, 38(2), 139149. doi:10.1037/0022-0167.38.2.139CrossRefGoogle Scholar
Ingman, T., Smakowski, A., Goldsmith, K., & Chalder, T. (2022). A systematic literature review of randomized controlled trials evaluating prognosis following treatment for adults with chronic fatigue syndrome. Psychological Medicine, 52(14), 29172929. doi:10.1017/S0033291722002471CrossRefGoogle ScholarPubMed
Kachaner, A., Lemogne, C., Dave, J., Ranque, B., de Broucker, T., & Meppiel, E. (2022). Somatic symptom disorder in patients with post-COVID-19 neurological symptoms: A preliminary report from the somatic study (somatic symptom disorder triggered by COVID-19). Journal of Neurology, Neurosurgery, and Psychiatry, 93(11), 11741189. doi:10.1136/jnnp-2021-327899CrossRefGoogle Scholar
Klan, T., Liesering-Latta, E., Gaul, C., Martin, P. R., & Witthöft, M. (2019). An integrative cognitive behavioral therapy program for adults with migraine: A feasibility study. Headache, 59(5), 741755. doi:10.1111/head.13532CrossRefGoogle ScholarPubMed
Kleinstäuber, M., Allwang, C., Bailer, J., Berking, M., Brünahl, C., Erkic, M., … Rief, W. (2019). Cognitive behaviour therapy complemented with emotion regulation training for patients with persistent physical symptoms: A randomised clinical trial. Psychotherapy and Psychosomatics, 88(5), 287299. doi:10.1159/000501621CrossRefGoogle ScholarPubMed
Kleinstäuber, M., Thomas, P., Witthöft, M., & Hiller, W. (2018). Kognitive Verhaltenstherapie bei medizinisch unerklärten Körperbeschwerden und somatoformen Störungen [Cognitive behavioral therapy for medically unexplained physical symptoms and somatoform disorders] (2nd ed.). Berlin, Heidelberg: Springer.CrossRefGoogle Scholar
Kleinstäuber, M., Witthöft, M., & Hiller, W. (2011). Efficacy of short-term psychotherapy for multiple medically unexplained physical symptoms: A meta-analysis. Clinical Psychology Review, 31(1), 146160. doi:10.1016/j.cpr.2010.09.001CrossRefGoogle ScholarPubMed
Koczulla, A. R., Ankermann, T., Behrends, U., Berlit, P., Berner, R., Böing, S., … Zwick, R. (2022). S1-Leitlinie Long-/Post-COVID [German S1 guideline long-/post-COVID]. Pneumologie (Stuttgart, Germany), 76(12), 855907. doi:10.1055/a-1946-3230Google ScholarPubMed
Kroenke, K., & Spitzer, R. L. (2002). The PHQ-9: A new depression diagnostic and severity measure. Psychiatric Annals, 32(9), 509515. doi:10.3928/0048-5713-20020901-06CrossRefGoogle Scholar
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2002). The PHQ-15: Validity of a new measure for evaluating the severity of somatic symptoms. Psychosomatic Medicine, 64(2), 258266. doi:10.1097/00006842-200203000-00008CrossRefGoogle ScholarPubMed
Krupp, L. B., LaRocca, N. G., Muir-Nash, J., & Steinberg, A. D. (1989). The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Archives of Neurology, 46(10), 11211123. doi:10.1001/archneur.1989.00520460115022CrossRefGoogle ScholarPubMed
Kupferschmitt, A., Hinterberger, T., Montanari, I., Gasche, M., Hermann, C., Jöbges, M., … Köllner, V. (2022). Relevance of the post-COVID syndrome within rehabilitation (PoCoRe): Study protocol of a multi-centre study with different specialisations. BMC Psychology, 10(1), 189. doi:10.1186/s40359-022-00892-8CrossRefGoogle ScholarPubMed
Kupferschmitt, A., Langheim, E., Tüter, H., Etzrodt, F., Loew, T. H., & Köllner, V. (2023). First results from post-COVID inpatient rehabilitation. Frontiers in Rehabilitation Sciences, 3, 1093871. doi:10.3389/fresc.2022.1093871CrossRefGoogle ScholarPubMed
Kuut, T. A., Müller, F., Csorba, I., Braamse, A., Aldenkamp, A., Appelman, B., … Knoop, H. (2023). Efficacy of cognitive-behavioral therapy targeting severe fatigue following coronavirus disease 2019: Results of a randomized controlled trial. Clinical Infectious Diseases, 77(5), 687–695. doi:10.1093/cid/ciad257Google ScholarPubMed
Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t tests and ANOVAs. Frontiers in Psychology, 4, 863. doi:10.3389/fpsyg.2013.00863CrossRefGoogle Scholar
Lemogne, C., Gouraud, C., Pitron, V., & Ranque, B. (2023). Why the hypothesis of psychological mechanisms in long COVID is worth considering. Journal of Psychosomatic Research, 165, 111135. doi:10.1016/j.jpsychores.2022.111135CrossRefGoogle ScholarPubMed
Linden, M., Muschalla, B., & Walter, M. (2020). Gender and side effects of group cognitive behavior psychotherapy. Archives of Psychiatry and Mental Health, 4(1), 1418. doi:10.29328/journal.apmh.1001012Google Scholar
Linden, M., Walter, M., Fritz, K., & Muschalla, B. (2015). Unerwünschte Therapiewirkungen bei verhaltenstherapeutischer Gruppentherapie: Häufigkeit und Spektrum [Undesired treatment effects in behavior group therapy: Frequency and spectrum]. Der Nervenarzt, 86(11), 13711382. doi:10.1007/s00115-015-4297-6CrossRefGoogle Scholar
Lopez-Leon, S., Wegman-Ostrosky, T., Perelman, C., Sepulveda, R., Rebolledo, P. A., Cuapio, A., & Villapol, S. (2021). More than 50 long-term effects of COVID-19: A systematic review and meta-analysis. Scientific Reports, 11(1), 16144. doi:10.1038/s41598-021-95565-8CrossRefGoogle ScholarPubMed
Magnúsdóttir, I., Lovik, A., Unnarsdóttir, A. B., McCartney, D., Ask, H., Kõiv, K., … Pedersen, O. B. (2022). Acute COVID-19 severity and mental health morbidity trajectories in patient populations of six nations: An observational study. The Lancet Public Health, 7(5), e406e416. doi:10.1016/S2468-2667(22)00042-1CrossRefGoogle ScholarPubMed
McNaughton, D. T., Hush, J. M., Beath, A. P., Gandy, M., Dear, B. F., & Jones, M. P. (2019). Whether chronic pain is medically explained or not does not moderate the response to cognitive-behavioural therapy. Journal of Psychosomatic Research, 121, 2936. doi:10.1016/j.jpsychores.2019.03.182CrossRefGoogle Scholar
Merad, M., Blish, C. A., Sallusto, F., & Iwasaki, A. (2022). The immunology and immunopathology of COVID-19. Science (New York, N.Y.), 375(6585), 11221127. doi:10.1126/science.abm8108CrossRefGoogle ScholarPubMed
Nees, T. A., Riewe, E., Waschke, D., Schiltenwolf, M., Neubauer, E., & Wang, H. (2020). Multidisciplinary pain management of chronic back pain: Helpful treatments from the patients' perspective. Journal of Clinical Medicine, 9(1), 145. doi:10.3390/jcm9010145CrossRefGoogle ScholarPubMed
Poort, H., Müller, F., Bleijenberg, G., Verhagen, S. A. H. H. V. M., Verdam, M. G. E., Nieuwkerk, P. T., & Knoop, H. (2021). Condition or cognition? Mechanism of change in fatigue in a randomized controlled trial of graded exercise therapy or cognitive behavior therapy for severe fatigue in patients with advanced cancer. Journal of Consulting and Clinical Psychology, 89(9), 731741. doi:10.1037/ccp0000670CrossRefGoogle ScholarPubMed
Price, J. R., Mitchell, E., Tidy, E., & Hunot, V. (2008). Cognitive behaviour therapy for chronic fatigue syndrome in adults. Cochrane Database of Systematic Reviews, 3, CD001027. doi:10.1002/14651858.CD001027.pub2Google Scholar
Proctor, E. K., Landsverk, J., Aarons, G., Chambers, D., Glisson, C., & Mittman, B. (2009). Implementation research in mental health services: An emerging science with conceptual, methodological, and training challenges. Administration and Policy in Mental Health, 36(1), 2434. doi:10.1007/s10488-008-0197-4CrossRefGoogle ScholarPubMed
Puschner, B., Bauer, S., Kraft, S., & Kordy, H. (2015). Zufriedenheit von Patienten und Therapeuten mit ambulanter Psychotherapie [Patient and therapist satisfaction in outpatient psychotherapy]. Psychotherapie, Psychosomatik, medizinische Psychologie, 55(12), 517526. doi:10.1055/s-2005-867050CrossRefGoogle Scholar
Rabung, S., Harfst, T., Kawski, S., Koch, U., Wittchen, H-U, & Schulz, H. (2009). Psychometrische Überprüfung einer verkürzten Version der “Hamburger Module zur Erfassung allgemeiner Aspekte psychosozialer Gesundheit für die therapeutische Praxis” (HEALTH-49) [Psychometric analysis of a short form of the “Hamburg modules for the assessment of psychosocial health” (HEALTH-49)]. Zeitschrift für Psychosomatische Medizin und Psychotherapie, 55(2), 162179. doi:10.13109/zptm.2009.55.2.162CrossRefGoogle Scholar
Reese, J. T., Blau, H., Casiraghi, E., Bergquist, T., Loomba, J. J., Callahan, T. J., … Robinson, P. N. (2023). Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes. EBioMedicine, 87, 104413. doi:10.1016/j.ebiom.2022.104413CrossRefGoogle ScholarPubMed
Rief, W., Bleichhardt, G., & Timmer, B. (2002). Gruppentherapie für somatoforme Störungen – Behandlungsleitfaden, Akzeptanz und Prozessqualität [Group therapy for somatoform disorders: Treatment guidelines, acceptance, and process quality]. Verhaltenstherapie, 12(3), 183191. doi:10.1159/000066569CrossRefGoogle Scholar
Sarter, L., Heider, J., Kirchner, L., Schenkel, S., Witthöft, M., Rief, W., & Kleinstäuber, M. (2021). Cognitive and emotional variables predicting treatment outcome of cognitive behavior therapies for patients with medically unexplained symptoms: A meta-analysis. Journal of Psychosomatic Research, 146, 110486. doi:10.1016/j.jpsychores.2021.110486CrossRefGoogle ScholarPubMed
Saunders, C., Sperling, S., & Bendstrup, E. (2023). A new paradigm is needed to explain long COVID. The Lancet Respiratory Medicine, 11(2), e12e13. doi:10.1016/S2213-2600(22)00501-XCrossRefGoogle ScholarPubMed
Schneider, A., Huber, L., Lohse, J., Linde, K., Greissel, A., Sattel, H., … Hapfelmeier, A. (2023). Association between somatic symptom disorder and symptoms with daily life impairment after SARS-CoV-2 infection - results from a population-based cross-sectional study. Journal of Psychosomatic Research, 168, 111230. doi:10.1016/j.jpsychores.2023.111230CrossRefGoogle ScholarPubMed
Shah, W., Hillman, T., Playford, E. D., & Hishmeh, L. (2021). Managing the long term effects of COVID-19: Summary of NICE, SIGN, and RCGP rapid guideline. BMJ, 372, n136. doi:10.1136/bmj.n136CrossRefGoogle Scholar
Sharpe, M., Walker, J., Williams, C., Stone, J., Cavanagh, J., Murray, G., … Carson, A. (2011). Guided self-help for functional (psychogenic) symptoms: A randomized controlled efficacy trial. Neurology, 77(6), 564572. doi:10.1212/WNL.0b013e318228c0c7CrossRefGoogle ScholarPubMed
Skilbeck, L. (2022). Patient-led integrated cognitive behavioural therapy for management of long COVID with comorbid depression and anxiety in primary care: A case study. Chronic Illness, 18(3), 691701. doi:10.1177/17423953221113605CrossRefGoogle ScholarPubMed
Sneller, M. C., Liang, C. J., Marques, A. R., Chung, J. Y., Shanbhag, S. M., Fontana, J. R., … Lane, H. C. (2022). A longitudinal study of COVID-19 sequelae and immunity: Baseline findings. Annals of Internal Medicine, 175(7), 969979. doi:10.7326/M21-4905CrossRefGoogle ScholarPubMed
Soriano, J. B., Murthy, S., Marshall, J. C., Relan, P., & Diaz, J. V. (2022). A clinical case definition of post-COVID-19 condition by a Delphi consensus. The Lancet Infectious Diseases, 22(4), e102e107. doi:10.1016/S1473-3099(21)00703-9CrossRefGoogle ScholarPubMed
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), 10921097. doi:10.1001/archinte.166.10.1092CrossRefGoogle ScholarPubMed
Tartof, S. Y., Malden, D. E., Liu, I-LA, Sy, L. S., Lewin, B. J., Williams, J. T. B., … Qian, L. (2022). Health care utilization in the 6 months following SARS-CoV-2 infection. JAMA Network Open, 5(8), e2225657. doi:10.1001/jamanetworkopen.2022.25657CrossRefGoogle ScholarPubMed
Thompson, E. J., Williams, D. M., Walker, A. J., Mitchell, R. E., Niedzwiedz, C. L., Yang, T. C., … Steves, C. J. (2022). Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records. Nature Communications, 13(1), 3528. doi:10.1038/s41467-022-30836-0CrossRefGoogle ScholarPubMed
Toussaint, A., Hüsing, P., Kohlmann, S., & Löwe, B. (2020). Detecting DSM-5 somatic symptom disorder: Criterion validity of the Patient Health Questionnaire-15 (PHQ-15) and the Somatic Symptom Scale-8 (SSS-8) in combination with the Somatic Symptom Disorder - B Criteria Scale (SSD-12). Psychological Medicine, 50(2), 324333. doi:10.1017/S003329171900014XCrossRefGoogle ScholarPubMed
Toussaint, A., Murray, A. M., Voigt, K., Herzog, A., Gierk, B., Kroenke, K., … Löwe, B. (2016). Development and validation of the Somatic Symptom Disorder-B Criteria Scale (SSD-12). Psychosomatic Medicine, 78(1), 512. doi:10.1097/PSY.0000000000000240CrossRefGoogle ScholarPubMed
Van den Bergh, O., Witthöft, M., Petersen, S., & Brown, R. J. (2017). Symptoms and the body: Taking the inferential leap. Neuroscience and Biobehavioral Reviews, 74, 185203. doi:10.1016/j.neubiorev.2017.01.015CrossRefGoogle ScholarPubMed
Van Dessel, N., den Boeft, M., van der Wouden, J. C., Kleinstäuber, M., Leone, S. S., Terluin, B., … van Marwijk, H. W. (2014). Non-pharmacological interventions for somatoform disorders and medically unexplained physical symptoms (MUPS) in adults. Cochrane Database of Systematic Reviews, 11, CD011142. doi:10.1002/14651858.CD011142.pub2Google Scholar
Verdurmen, M. J., Videler, A. C., Kamperman, A. M., Khasho, D., & van der Feltz-Cornelis, C. M. (2017). Cognitive behavioral therapy for somatic symptom disorders in later life: A prospective comparative explorative pilot study in two clinical populations. Neuropsychiatric Disease and Treatment, 13, 23312339. doi:10.2147/NDT.S141208CrossRefGoogle ScholarPubMed
Viefhaus, P., Döpfner, M., Dachs, L., Goletz, H., Görtz-Dorten, A., Kinnen, C., … Walter, D. (2019). Treatment satisfaction following routine outpatient cognitive-behavioral therapy of adolescents with mental disorders: A triple perspective of patients, parents and therapists. European Child & Adolescent Psychiatry, 28(4), 543556. doi:10.1007/s00787-018-1220-2CrossRefGoogle ScholarPubMed
Williamson, A. E., Tydeman, F., Miners, A., Pyper, K., & Martineau, A. R. (2022). Short-term and long-term impacts of COVID-19 on economic vulnerability: A population-based longitudinal study (COVIDENCE UK). BMJ Open, 12(8), e065083. doi:10.1136/bmjopen-2022-065083CrossRefGoogle ScholarPubMed
Willis, C., & Chalder, T. (2021). Concern for COVID-19 cough, fever and impact on mental health. What about risk of somatic symptom disorder? Journal of Mental Health, 30(5), 551555. doi:10.1080/09638237.2021.1875418CrossRefGoogle ScholarPubMed
Witthöft, M., & Hiller, W. (2010). Psychological approaches to origins and treatments of somatoform disorders. Annual Review of Clinical Psychology, 6(1), 257283. doi:10.1146/annurev.clinpsy.121208.131505CrossRefGoogle ScholarPubMed
Yong, S. J., & Liu, S. (2022). Proposed subtypes of post-COVID-19 syndrome (or long-COVID) and their respective potential therapies. Reviews in Medical Virology, 32(4), e2315. doi:10.1002/rmv.2315CrossRefGoogle ScholarPubMed
Zoubek, K. (2013). Prozessevaluation einer kognitiv-verhaltenstherapeutischen Gruppentherapie bei Diabetes und Depression: Entwicklung und Validierung der Patienten- und Therapeuten- Gruppentherapiestundenbögen zur Vorhersage des Therapieerfolgs [Process evaluation of a cognitive behavioral group therapy for diabetes and depression: development and validation of the patient and therapist group therapy session evaluation forms for predicting therapy outcome] (Doctoral dissertation). Johannes Gutenberg University, Mainz.Google Scholar
Figure 0

Table 1. Content and therapeutic strategies of the group program

Figure 1

Figure 1. Participant flow. ITT, intention-to-treat. Participants were included in the per-protocol analysis if they completed pre-post assessments and attended ⩾6 sessions.

Figure 2

Table 2. Sociodemographic and clinical characteristics of the sample at baseline

Figure 3

Table 3. Session evaluation by participants

Figure 4

Table 4. Pre-post comparisons of self-report measures for the intention-to-treat sample

Supplementary material: File

Huth et al. supplementary material

Huth et al. supplementary material
Download Huth et al. supplementary material(File)
File 51.9 KB