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The population of adults with single-ventricle congenital heart disease (CHD) is growing. This study explores their lived experiences through an adult developmental psychology framework.
Methods:
Individuals aged 18 and older with single-ventricle CHD participated in Experience Group sessions and 1:1 interviews. Sessions were transcribed and analysed thematically. Themes were categorized by developmental domains and age group.
Results:
Of the 29 participants, 18 (62%) were female, 10 (35%) were emerging (18–29 years), 13 (45%) were established (30–45 years), and 6 (21%) were midlife adults (46–60 years). Emerging adults expressed reluctance to initiate romantic relationships and fear of burdening partners, while established adults reported strong relationships with partners deeply involved in caregiving. Emerging adults struggled with finding fulfilling work that meets their health needs, whereas established and midlife adults faced unemployment or early retirement due to health limits. Family dynamics shifted, with established and midlife adults educating their children to become caregivers. Physical limitations and low self-rated health were consistent across life stages, and midlife adults did not worry about traditional chronic conditions. Mental health concerns, including anxiety and depression, persisted across all life stages, but resiliency and positive affect were also evident.
Conclusion:
Adults with single-ventricle CHD experience developmental milestones differently, indicating the need for early anticipatory guidance in these domains to achieve optimal outcomes in adulthood.
CHD care is resource-intensive. Unwarranted variation in care may increase cost and result in poorer health outcomes. We hypothesise that process variation exists within the pre-operative evaluation and planning process for children undergoing repair of atrial septal defect or ventricular septal defect and that substantial variation occurs in a small number of care points.
Methods:
From interviews with staff of an integrated congenital heart centre, an initial process map was constructed. A retrospective chart review of patients with isolated surgical atrial septal defect and ventricular septal defect repair from 7/1/2018 through 11/1/2020 informed revisions of the process map. The map was assessed for points of consistency and variability.
Results:
Thirty-two surgical atrial septal defect/ventricular septal defect repair patients were identified. Ten (31%) were reviewed by interventional cardiology before surgical review. Of these, 6(60%) had a failed catheter-based closure and 4 (40%) were deemed inappropriate for catheter-based closure. Thirty (94%) were reviewed in case conference, all attended surgical clinic, and none were admitted prior to surgery. The process map from interviews alone identified surgery rescheduling as a point of major variability; however, chart review revealed this was not as prominent a source of variability as pre-operative interventional cardiology review.
Conclusions:
Significant variation in the pre-operative evaluation and planning process for surgical atrial septal defect/ventricular septal defect patients was identified. If such process variation is widespread through CHD care, it may contribute to variations in outcome and cost previously documented within CHD surgery. Future research will focus on determining whether the variation is warranted or unwarranted, associated health outcomes and cost variation attributed to these variations in care processes.
This chapter explains why it is critical to measure health outcomes. It includes a review of the current measurement landscape in health care in the context of the Donabedian framework for assessing health care quality. It also reorients the reader to a focus on measuring outcomes and outlines why measuring outcomes can be challenging but must be done. The chapter also provides the reader with prompts for self-reflection on their outcome measurement aspirations and describes who the intended audience is for the guide.
This chapter discusses the four main reasons to measure outcomes: 1. measuring the change in outcomes tells you how you are doing with respect to providing health care; 2. with outcome data you can identify opportunities for learning and improvement; 3. outcome data give patients and their families critical information about what to expect when they seek care from you or your organization (or, if you work for a payer organization or employer, from the health care providers within your network); and 4. you have an ethical obligation to understand whether the care you provide is helping or harming.
This chapter describes different ways to identify outcome measures once the outcomes that matter most are identified. These outcome measures can be used to see if outcomes are improving or not. The chapter also gives an example of how to organize chosen outcome measures using the Capability, Comfort, and Calm framework. Guiding principles for narrowing an outcome measure set to a small set of actionable measures are outlined.
This chapter focuses on the mechanics of collecting and analyzing outcome data. It reviews the foundational functions of data management as they pertain to measuring outcomes. Then it discusses different data collection mechanisms such as using spreadsheets, REDCap, registries, and electronic health records. Additional considerations for data collection are outlined such as establishing the measurement timeline and ethical and legal considerations when establishing an outcome measurement program. This chapter also discusses the steps of integrating and validating data as well as extracting and analyzing outcome data. The primary audience for this chapter is individual clinicians who want to start measuring outcomes in their clinical practice.
This chapter discusses how to grow an outcome measurement team in a single clinical practice and covers how outcome measurement can look at scale within larger organizations that have built capabilities to leverage their electronic health records for data collection and analytics. The key steps of data management functions are referenced again to illustrate how these functions can be deployed at scale to measure outcomes. Key personnel needed to support outcome measurement at scale are also explained. Considerations for sharing data with broad audiences is described, specifically the stages of data acceptance are reviewed. Governance and leadership considerations are briefly referenced. The primary audience for this chapter is health care administrators who want to start measuring outcomes in their organization or support existing efforts.
This chapter describes what it means to measure the outcomes that matter most to people and describes the Capability, Comfort, and Calm outcome measurement framework developed by Elizabeth Teisberg and Scott Wallace.This framework orients measurement and improvement efforts around achieving health and the outcomes that matter most to patients. It also helps reframe existing measurement efforts into a framework that facilitates measuring the results of health care. This chapter outlines the following key principles in measuring health outcomes: measure at the individual patient level and measure during the course of care.
This chapter establishes a basic vocabulary in measuring outcomes as the first step in getting started to measure. It then outlines the steps in getting started: 1. identifying the cohort or segment; 2) gathering baseline data (retrospectively and prospectively); and 3. identifying the outcomes that matter most to people. It also addresses where to start based on if you are a clinician or health care administrator either from a provider organization or payer organization.A table is included that describes the different types of data and data sources that can be used for baseline data gathering as well as the advantages and disadvantages of each.
Complementing existing literature on measuring health outcomes that is largely conceptual, this book focuses on simple, practical advice for measuring outcomes in a variety of settings. Written in an engaging conversational tone, readers will learn why measuring health outcomes is necessary in clinical practice and how these measures may vary between people and across care structures. Covering how to identify measurements as well as collect and analyze the data, the chapters lead readers through a series of logical steps to scaling up a measurement program. The workbook style allows readers to record their own notes and thoughts throughout the book, while the list of action steps at the end of chapters are tangible starting points for developing a measurement program of their own. Explores how to measure and think about outcomes in a way that sees the whole person, not just the medical or behavioral condition they have.
With advances in care, an increasing number of individuals with single-ventricle CHD are surviving into adulthood. Partners of individuals with chronic illness have unique experiences and challenges. The goal of this pilot qualitative research study was to explore the lived experiences of partners of individuals with single-ventricle CHD.
Methods:
Partners of patients ≥18 years with single-ventricle CHD were recruited and participated in Experience Group sessions and 1:1 interviews. Experience Group sessions are lightly moderated groups that bring together individuals with similar circumstances to discuss their lived experiences, centreing them as the experts. Formal inductive qualitative coding was performed to identify salient themes.
Results:
Six partners of patients participated. Of these, four were males and four were married; all were partners of someone of the opposite sex. Themes identified included uncertainty about their partners’ future health and mortality, becoming a lay CHD specialist, balancing multiple roles, and providing positivity and optimism. Over time, they took on a role as advocates for their partners and as repositories of medical history to help navigate the health system. Despite the uncertainties, participants described championing positivity and optimism for the future.
Conclusions:
In this first-of-its-kind pilot study, partners of individuals with single-ventricle CHD expressed unique challenges and experiences in their lives. There is a tacit need to design strategies to help partners cope with those challenges. Further larger-scale research is required to better understand the experiences of this unique population.
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