3 results
The experiences of families of children with cancer during the COVID-19 pandemic: A qualitative exploration
- Malcolm S. Sutherland-Foggio, Charis J. Stanek, Kimberly Buff, Leena Nahata, Terrah Foster-Akard, Cynthia A. Gerhardt, Micah A. Skeens
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- Journal:
- Palliative & Supportive Care / Volume 22 / Issue 2 / April 2024
- Published online by Cambridge University Press:
- 10 August 2023, pp. 281-288
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Objectives
The COVID-19 pandemic posed new challenges to physical and psychological well-being. Families with pediatric cancer patients were particularly vulnerable due to changes like children staying at home, hospital policy shifts, and caring for an immunocompromised child. Limited research exists on COVID-19's effects on these families. This study aimed to assess the pandemic's impact and identify psychosocial support gaps.
MethodsParticipants (N = 256) were parents of children with cancer recruited via Facebook in partnership with Momcology®, a community-based organization for pediatric cancer, between February and May 2021. Qualitative analyses used open-ended responses about the pandemic’s impact on the family.
ResultsAnalysis revealed 6 themes, with positive and negative sentiments: family changes (n = 169; 61% negative), social isolation (n = 154; 100% negative), emotional impact (n = 143; 89% negative), school changes (n = 126; 80% negative), health-care changes (n = 111; 96% negative), and physical health (n = 49; 73% negative). Family changes overarched all themes and included financial strains, at-home schooling, and family bonding. Parents highlighted social isolation and the emotional impact of pandemic-related changes. School changes forced parents to balance remote-work and childcare. Health-care changes limited resources and visitation. Parents reported their children were less active and slept less but had fewer illnesses.
Significance of resultsMany common pandemic challenges were exacerbated by the stress of caring for a child with cancer. Parents struggled most with loss of social support and feelings of isolation. Careful consideration should be given to providing resources for parents of children with cancer and their families.
School-based socio-emotional learning programs to prevent depression, anxiety and suicide among adolescents: a global cost-effectiveness analysis
- Y. Y. Lee, S. Skeen, G. J. Melendez-Torres, C. A. Laurenzi, M. van Ommeren, A. Fleischmann, C. Servili, C. Mihalopoulos, D. Chisholm
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- Journal:
- Epidemiology and Psychiatric Sciences / Volume 32 / 2023
- Published online by Cambridge University Press:
- 12 July 2023, e46
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Aims
Preventing the occurrence of depression/anxiety and suicide during adolescence can lead to substantive health gains over the course of an individual person’s life. This study set out to identify the expected population-level costs and health impacts of implementing universal and indicated school-based socio-emotional learning (SEL) programs in different country contexts.
MethodsA Markov model was developed to examine the effectiveness of delivering universal and indicated school-based SEL programs to prevent the onset of depression/anxiety and suicide deaths among adolescents. Intervention health impacts were measured in healthy life years gained (HLYGs) over a 100-year time horizon. Country-specific intervention costs were calculated and denominated in 2017 international dollars (2017 I$) under a health systems perspective. Cost-effectiveness findings were subsequently expressed in terms of I$ per HLYG. Analyses were conducted on a group of 20 countries from different regions and income levels, with final results aggregated and presented by country income group – that is, low and lower middle income countries (LLMICs) and upper middle and high-income countries (UMHICs). Uncertainty and sensitivity analyses were conducted to test model assumptions.
ResultsImplementation costs ranged from an annual per capita investment of I$0.10 in LLMICs to I$0.16 in UMHICs for the universal SEL program and I$0.06 in LLMICs to I$0.09 in UMHICs for the indicated SEL program. The universal SEL program generated 100 HLYGs per 1 million population compared to 5 for the indicated SEL program in LLMICs. The cost per HLYG was I$958 in LLMICS and I$2,006 in UMHICs for the universal SEL program and I$11,123 in LLMICs and I$18,473 in UMHICs for the indicated SEL program. Cost-effectiveness findings were highly sensitive to variations around input parameter values involving the intervention effect sizes and the disability weight used to estimate HLYGs.
ConclusionsThe results of this analysis suggest that universal and indicated SEL programs require a low level of investment (in the range of I$0.05 to I$0.20 per head of population) but that universal SEL programs produce significantly greater health benefits at a population level and therefore better value for money (e.g., less than I$1,000 per HLYG in LLMICs). Despite producing fewer population-level health benefits, the implementation of indicated SEL programs may be justified as a means of reducing population inequalities that affect high-risk populations who would benefit from a more tailored intervention approach.
Key influences in the design and implementation of mental health information systems in Ghana and South Africa
- S. Ahuja, T. Mirzoev, C. Lund, A. Ofori-Atta, S. Skeen, A. Kufuor
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- Journal:
- Global Mental Health / Volume 3 / 2016
- Published online by Cambridge University Press:
- 08 April 2016, e11
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Introduction
Strengthening of mental health information systems (MHIS) is essential to monitor and evaluate mental health services in low and middle-income countries. While research exists assessing wider health management information systems, there is limited published evidence exploring the design and implementation of MHIS in these settings. This paper aims to identify and assess the key factors affecting the design and implementation of MHIS, as perceived by the key stakeholders in Ghana and South Africa.
MethodsWe report findings from the Mental Health and Poverty Project, a 5-year research programme implemented within four African countries. The MHIS strengthening in South Africa and Ghana included two related components: intervention and research. The intervention component aimed to strengthen MHIS in the two countries, and the research component aimed to document interventions in each country, including the key influences. Data were collected using semi structured interviews with key stakeholders and reviews of key documents and secondary data from the improved MHIS. We analyzed the qualitative data using a framework approach.
ResultsKey components of the MHIS intervention involved the introduction of a redesigned patient registration form, entry into computers for analysis every 2 months by clinical managerial staff, and utilization of data in hospital management meetings in three psychiatric hospitals in Ghana; and the introduction of a new set of mental health indicators and related forms and tally sheets at primary care clinics and district hospitals in five districts in the KwaZulu-Natal and Northern Cape provinces in South Africa. Overall, the key stakeholders perceived the MHIS strengthening as an effective intervention in both countries with an enhanced set of indicators in South Africa and introduction of a computerized system in Ghana.
DiscussionInfluences on the design and implementation of MHIS interventions in Ghana and South Africa relate to resources, working approaches (including degree of consultations during the design stage and communication during implementation stage) and the low priority of mental health. Although the influencing factors represent similar categories, more influences were identified on MHIS implementation, compared with the design stage. Different influences appear to be related within, and across, the MHIS design and implementation and may reinforce or negate each other thus leading to the multiplier or minimization effects. The wider context, similar to other studies, is important in ensuring the success of such interventions.
ConclusionFuture MHIS strengthening interventions can consider three policy implications which emerged from our analysis and experience: enhancing consultations during the intervention design, better consideration of implementation challenges during design, and better recognition of relations between different influences.