Development, validation and feasibility of a Patient Satisfaction Questionnaire for evaluating the quality performance of a diagnostic small fibre neuropathy service: A qualitative study.

INTRODUCTION AND AIM: Small fibre neuropathy (SFN) is a peripheral neuropathy, leading to neuropathic pain and autonomic dysfunction. An evidence-based standardized patient diagnostic SFN service has been implemented in the Netherlands for improving patient-centred SFN care. However, the quality of care of this diagnostic SFN service has never been assessed from a patient perspective. The aim of this study was to develop and validate an SFN-Patient Satisfaction Questionnaire (SFN-PSQ) to measure the quality performance of a standardized diagnostic SFN service. METHODS: A descriptive qualitative study to create the SFN-PSQ was performed using the (COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist. For item generation and content development, domains and/or items from validated PSQs were selected. The content development and content validity were performed using a Delphi method with SFN expert caregivers with different backgrounds. By using the three-step-test method in individual cognitive interviews, the content validity by patients was finalized. RESULTS: In one online Delphi panel round, the content of the first concept of the SFN-PSQ was validated, which resulted in the second concept of the SFN-PSQ. From July 2019 till March 2020, nine patients consented to participate in the individual cognitive interviews. The most significant changes of the new questionnaire were adding domains and items concerning the waiting list, the diagnostic services and consultation by the hospital psychiatrist. Also, a differentiation was made for both an inpatient and outpatient diagnostic SFN service. Furthermore, the clarity and intelligibility of the domains/items were improved, resulting in an increased comprehension of the SFN-PSQ. Ultimately, the new developed SFN-PSQ consisted of 10 domains and 51 items, suitable for measuring patient satisfaction of the neurological analysis in patients with SFN. CONCLUSION: Through item generation, expert opinions and interviews with patients, the SFN-PSQ was developed and validated, and feasibility was confirmed. The structure of the questionnaire, based on the logistic and diagnostic SFN pathway, could be used as a model in other hospitals to improve the quality, continuity and access of SFN care and other chronic diseases taking into account potential cross-cultural differences. PATIENT OR PUBLIC CONTRIBUTION: Caregivers were involved in the item generation and content development of the questionnaire. Patients were directly involved in testing the content validity and feasibility of the SFN-PSQ. CLINICAL TRIAL REGISTRATION: Not applicable.

Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study.

BACKGROUND: Decision support systems (DSSs) for suggesting optimal treatments for individual patients with low back pain (LBP) are currently insufficiently accurate for clinical application. Most of the input provided to train these systems is based on patient-reported outcome measures. However, with the appearance of electronic health records (EHRs), additional qualitative data on reasons for referrals and patients' goals become available for DSSs. Currently, no decision support tools cover a wide range of biopsychosocial factors, including referral letter information to help clinicians triage patients to the optimal LBP treatment. OBJECTIVE: The objective of this study was to investigate the added value of including qualitative data from EHRs and referral letters to the accuracy of a quantitative DSS for patients with LBP. METHODS: A retrospective study was conducted in a clinical cohort of Dutch patients with LBP. Patients filled out a baseline questionnaire about demographics, pain, disability, work status, quality of life, medication, psychosocial functioning, comorbidity, history, and duration of pain. Referral reasons and patient requests for help (patient goals) were extracted via natural language processing (NLP) and enriched in the data set. For decision support, these data were considered independent factors for triage to neurosurgery, anesthesiology, rehabilitation, or minimal intervention. Support vector machine, k-nearest neighbor, and multilayer perceptron models were trained for 2 conditions: with and without consideration of the referral letter content. The models' accuracies were evaluated via F1-scores, and confusion matrices were used to predict the treatment path (out of 4 paths) with and without additional referral parameters. RESULTS: Data from 1608 patients were evaluated. The evaluation indicated that 2 referral reasons from the referral letters (for anesthesiology and rehabilitation intervention) increased the F1-score accuracy by up to 19.5% for triaging. The confusion matrices confirmed the results. CONCLUSIONS: This study indicates that data enriching by adding NLP-based extraction of the content of referral letters increases the model accuracy of DSSs in suggesting optimal treatments for individual patients with LBP. Overall model accuracies were considered low and insufficient for clinical application.

Patterns of common illness and injury of readymade garment workers and a review of safety practices in Bangladesh.

BACKGROUND: Readymade garment workers globally experience distinctive vulnerabilities at the workplace. The situation is worse in many developing countries. However, there is a lack of scientific evidence about the health and safety of garment workers in the workplace. OBJECTIVE: The objective of this study was to examine the patterns of illness and injury of garment workers, factory level health safety policies and programs, and views and perception of management staff at factories in Bangladesh. METHODS: This mixed-method study was conducted among garment workers and management level staff between January 2018 and April 2019. We extracted 4000 health records of the workers who attended primary health care centers of the factories and conducted 11 key informant interviews using qualitative method from different management-level staff. RESULTS: Half of the workers (51.0%) were working in the sewing section following 12.8% in quality control and 12.3% in the laundry section. A review of the medical records showed that peptic ulcer diseases (PUDs) (19.2%), fever (11.7%), loose motion (10.3%), and headache (9.4%). Needle injury was uncommon for taking medical care. Occupational safety and health management, safe drinking water, access to maternity leave and other facilities were better in large and medium factories compared with those in small factories. CONCLUSIONS: Although the readymade garments sector is one of the largest sources of foreign currency revenue earnings in Bangladesh, occupational health and safety issues of workers remain a big concern. Thus, support from the government needs more focus on the health and safety of workers.

Sexual decision making of Ugandan young adults: findings from national online discussions.

Fifty-one 18-22-year-old Ugandans took part in asynchronous online discussions about sexual decision-making. To increase generalizability and variability of experience, youth were recruited across the country using social media advertising. Participants were stratified into 8 groups by sex and sexual experience (e.g., women who had not had sex). Participants were asked questions such as, "What role do you think [men/women] play in deciding when a couple is going to play sex?" Several themes emerged. Both young men and women articulated social pressures to be abstinent, particularly to avoid STIs and pregnancy moreso than saving oneself for marriage. That said, women noted pressures to be seen as "pure". There also were pressures to have sex: Men were expected to have sex to demonstrate their virility. Women were expected to have sex if they accepted gifts or other commodities from their partners. It seemed that the specter of HIV and other STIs, as well as unwanted pregnancy, served to mitigate these expectations however, resulting in self-efficacy to use condoms among both men and women. Nonetheless, both men and women acknowledged that it could be hard for women to negotiate condoms. Implications for HIV prevention are discussed.

The over-citation of Daubert in forensic anthropology.

The 1993 US Supreme Court decision Daubert v. Merrell Dow Pharmaceuticals, Inc. presented new guidance for the judicial assessment of expert witness evidence and testimony in the determination of admissibility. Despite the rarity of admissibility challenges to forensic anthropology evidence, Daubert is frequently cited in published forensic anthropology research. This study undertook a qualitative thematic analysis of forensic anthropology articles published in the Journal of Forensic Sciences to assess why authors continue to cite Daubert and express concerns over potential exclusion. The results show a significant increase in the number of articles that cite legal admissibility standards over time (p < 0.001). Authors frequently cite these standards to contextualize their results within the Daubert framework or to justify the need for their research. Notably, many articles present Daubert as a constraining force, misinterpreting the guidelines as rigid criteria or that they require methods to be strictly quantitative. However, Daubert was intended to be a flexible tool for judges-not a standard or instruction for scientists. While it was reasonable to reflect on the scientific rigor of methods in the wake of the Daubert decision, a new perspective is warranted in which forensic anthropologists shift their focus from trying to "satisfy" admissibility guidelines to adopting quality assurance measures that minimize error and ensure confidence in analytical results, and developing and using methods that are grounded in good science-which is important regardless of whether or not the results are ever the subject of a trial.

Creating a difference - a role for the arts in addressing child wellbeing in conflict-affected areas.

BACKGROUND: Details findings from a project on the potential for arts activities and art therapy to support the mental health and wellbeing of children living in Kashmir. METHODS: The intervention engaged 30 school children over the course of one year who produced various forms of artwork and performances. In this paper, we report on project impacts, drawing on some of our qualitative measures including observations and interviews. RESULTS: Our research details impacts and improvements in areas of emotional expression, belonging, and agency. We also found an important role for schools to create safe, secure, and caring spaces to allow students to express themselves and work through traumatic feelings in a non-judgemental way. CONCLUSIONS: School-based arts interventions can play an important role in the mental health and wellbeing of children. Critical here, however, are dedicated space, time, and resources to provide a supportive environment and to sustain activity in long-term.

Exploration of the effects of incarceration on the health of Latina women and their children using the life course theory.

OBJECTIVE: Use the Life Course Theory (LCT) to explore the effects of involvement with the justice system on the health of Latina women and their children. DESIGN: A supplementary analysis was conducted using data collected from the original study to answer a new research question. SETTING: South Central Texas. PARTICIPANTS: A primary qualitative data set from 12 Latina women involved with the justice system. METHODS: We applied LCT principles and used thematic content analysis as such we employed categoric distinction: lifespan development, time and place in individuals' lives, the timing of lives, human agency, and linked lives to analyze participants' narratives. RESULTS: Five themes emerged that aligned with LCT principles: (1) It feels like I'm living in my own prison; (2) What do I have to live for now; (3) It is like double punishment; (4) They made my choices; and (5) People didn't really understand. Participants felt helpless with few options to overcome their prior adversities, which affected their ability to make positive future choices. CONCLUSIONS: Findings highlight the potential, long-term, negative health consequences that may result from incarceration. Considering that justice system involvement can lead to more profound maternal and child health disparities, our findings suggest that greater advocacy from the nursing profession would increase accessibility to equitable and respectful maternity and women's health care services. Key points Involvement with the justice system can result in negative health consequences for women and their children. Maternal and child health disparities are often more profound after involvement with the justice system. Greater advocacy is needed from the nursing profession to ensure access to equitable and respectful maternity and women's health care services.

Improvements in Patient-Reported Outcomes in Relapsed or Refractory Large B-Cell Lymphoma Patients Treated With Epcoritamab.

BACKGROUND: Patient-reported outcomes were evaluated in EPCORE NHL-1 in patients with relapsed or refractory (R/R) large B-cell lymphoma (LBCL) treated with epcoritamab monotherapy (NCT03625037). MATERIALS AND METHODS: Adults with R/R CD20+ LBCL and ≥2 prior systemic antilymphoma therapies, including anti-CD20, completed the Functional Assessment of Cancer Therapy-Lymphoma (FACT-Lym) and EQ-5D-3L. A subgroup of patients provided additional feedback in one-on-one qualitative interviews. FACT-Lym and EQ-5D-3L score changes from baseline (CFB) to cycle 9 or end of treatment were interpreted using published minimally important differences (MID). RESULTS: In total, 157 patients (88.5% with diffuse LBCL) were treated (median age, 64 years). In total, 70.7% had ≥3 prior treatments, 61.1% had primary refractory disease, and 82.8% were refractory to last systemic therapy. FACT-Lym scores exceeded MID thresholds: mean (SD) CFB were 4.4 (15.2), MID 3.0 to 7.0 (FACT-General); 5.9 (7.6), MID 2.9 to 5.4 (FACT-Lymphoma subscale); 8.4 (15.2), MID 5.5 to 11.0 (FACT-Trial Outcome Index); 10.3 (20.2), MID 6.5 to 11.2 (FACT-Lym total score). EQ-5D-3L index scores, 0.09 (0.20), MID 0.08, and EQ-VAS scores, 16.6 (22.8), MID 7.0, improved. In 20 qualitative interviews, 88.2% reported symptom improvements; 80.0% were "very satisfied" or "satisfied" with epcoritamab. CONCLUSIONS: R/R LBCL patients reported consistent, clinically meaningful improvements in symptoms and HRQoL and satisfaction with epcoritamab.

User feedback on the NHS test & Trace Service during COVID-19: The use of machine learning to analyse free-text data from 37,914 England adults.

Objectives: The UK government's approach to the pandemic relies on a test, trace and isolate strategy, mainly implemented via the digital NHS Test & Trace Service. Feedback on user experience is central to the successful development of public-facing Services. As the situation dynamically changes and data accumulate, interpretation of feedback by humans becomes time-consuming and unreliable. The specific objectives were to 1) evaluate a human-in-the-loop machine learning technique based on structural topic modelling in terms of its Service ability in the analysis of vast volumes of free-text data, 2) generate actionable themes that can be used to increase user satisfaction of the Service. Methods: We evaluated an unsupervised Topic Modelling approach, testing models with 5-40 topics and differing covariates. Two human coders conducted thematic analysis to interpret the topics. We identified a Structural Topic Model with 25 topics and metadata as covariates as the most appropriate for acquiring insights. Results: Results from analysis of feedback by 37,914 users from May 2020 to March 2021 highlighted issues with the Service falling within three major themes: multiple contacts and incompatible contact method and incompatible contact method, confusion around isolation dates and tracing delays, complex and rigid system. Conclusions: Structural Topic Modelling coupled with thematic analysis was found to be an effective technique to rapidly acquire user insights. Topic modelling can be a quick and cost-effective method to provide high quality, actionable insights from free-text feedback to optimize public health Services.

Incorporating Community Partner Perspectives on eHealth Technology Data Sharing Practices for the California Early Psychosis Intervention Network: Qualitative Focus Group Study With a User-Centered Design Approach.

BACKGROUND: Increased use of eHealth technology and user data to drive early identification and intervention algorithms in early psychosis (EP) necessitates the implementation of ethical data use practices to increase user acceptability and trust. OBJECTIVE: First, the study explored EP community partner perspectives on data sharing best practices, including beliefs, attitudes, and preferences for ethical data sharing and how best to present end-user license agreements (EULAs). Second, we present a test case of adopting a user-centered design approach to develop a EULA protocol consistent with community partner perspectives and priorities. METHODS: We conducted an exploratory, qualitative, and focus group-based study exploring mental health data sharing and privacy preferences among individuals involved in delivering or receiving EP care within the California Early Psychosis Intervention Network. Key themes were identified through a content analysis of focus group transcripts. Additionally, we conducted workshops using a user-centered design approach to develop a EULA that addresses participant priorities. RESULTS: In total, 24 participants took part in the study (14 EP providers, 6 clients, and 4 family members). Participants reported being receptive to data sharing despite being acutely aware of widespread third-party sharing across digital domains, the risk of breaches, and motives hidden in the legal language of EULAs. Consequently, they reported feeling a loss of control and a lack of protection over their data. Participants indicated these concerns could be mitigated through user-level control for data sharing with third parties and an understandable, transparent EULA, including multiple presentation modalities, text at no more than an eighth-grade reading level, and a clear definition of key terms. These findings were successfully integrated into the development of a EULA and data opt-in process that resulted in 88.1% (421/478) of clients who reviewed the video agreeing to share data. CONCLUSIONS: Many of the factors considered pertinent to informing data sharing practices in a mental health setting are consistent among clients, family members, and providers delivering or receiving EP care. These community partners' priorities can be successfully incorporated into developing EULA practices that can lead to high voluntary data sharing rates.

A grounded theory-based qualitative approach for examining local implementation of public health policies during crises.

Background: COVID-19's emergence questions the agility of health policy deployment in a context of urgency. This exceptional pandemic offers a unique Implementation Science study opportunity. It reveals how actors adapt, coordinate, and mitigate an unknown global threat to safeguard populations from an initially mysterious virus. Limited research has explored how involved players act and adapt their practices to fulfil health protection missions during a global health crisis. Bridging the gap between public policy expectations and achievements requires a methodology for stakeholder identification and implementation practice description. Objective: Focusing on COVID-19 management in France's second-largest region, we investigate ministerial recommendation implementation and the emergence of new links, coordination modes, and practices. Methods: Due to the novel subject, we adopted grounded theory. Initial documentary data collection identifies stakeholders for subsequent interviews. Open-ended coding of collected discourse enables content analysis. Results: Findings reveal a crisis-driven re-evaluation of stakeholder relationships. This research identifies three levels of implementation of health policies at the local level (administrative, organizational and operational) and reveals different types of coordination specific to each of these levels. Our results provide insights on how to better coordinate and implement healthcare policies in a period of crisis. Recommendations include real-life simulations of large-scale crises. Conclusion: Our work establishes a methodological foundation for analysing coordination dynamics. Future research could compare these findings with other unpredictable health emergencies, such as episiotomic veterinary health crises.•The first step of the method is to analyse the guidelines of health policy implementation during the Covid-19 crisis and to identify the main stakeholders in charge of the local health policy implementation.•The second step consists of interviewing these stakeholders using a co-constructed sample and structural coding of their speech to reveal the forms of coordination between stakeholders.

Risk perception and usage of non-occupational post-exposure prophylaxis among fisherfolk in Ggulwe parish on the shores of Lake Victoria in central Uganda.

Background: The use of non-occupational post-exposure prophylaxis (nPEP) to prevent HIV acquisition among those exposed as an approach to HIV prevention has expanded in Uganda. Although there are increased efforts to avail nPEP services among most at-risk populations, the usage of nPEP medicines remains low. Therefore, this study examined the risk perception and usage of non-occupational post-exposure prophylaxis (nPEP) among fisherfolk in the Ggulwe fishing parish, Bussi sub-county, Wakiso district. Methods: A cross-sectional study among adults was carried out from October 2020 to January 2021 in Ggulwe parish, Bussi sub-county, Wakiso district, to examine the usage of nPEP and factors influencing the usage. Data were collected using semi-structured questionnaires, and key informants' interviews were conducted among healthcare providers and the local leadership. The quantitative data were summarized using bivariate and multivariate logistic regression, while the qualitative data were analyzed thematically to enrich the quantitative results. Results: Overall, 248 fisherfolk encountered an event that required the use of nPEP, and of these, 55/248 (22.2%) were able to use nPEP to prevent them from acquiring HIV. The usage of nPEP among adults in the Bussi sub-county, Wakiso district, was associated with not knowing that HIV can be prevented using nPEP medicines (AOR:0.1, 95% CI 0.03-0.36, p < 0.001), lack of knowledge of the existence of nPEP (AOR: 0.3, 95% CI 0.13-0.76, p = 0.01), the perception that nPEP can effectively prevent HIV infection after exposure (AOR 0.0586, 95% CI: 0.0177-0.1944, p < 0.001), and the community's opinion affecting the willingness to take nPEP (AOR 0.1924, 95% CI: 0.0380-0.9727, p = 0.0462). Conclusion: The usage of nPEP among fisherfolk was low (22.2%). The low usage of nPEP was associated with a lack of knowledge and awareness about nPEP. This effort to improve the usage of nPEP should include community sensitization and HIV infection prevention using nPEP to raise awareness about HIV infection exposures and the risk of HIV infection during non-occupational exposures.

Reflections on the group dynamic in a group cognitive behavioral therapy intervention for young adult women with moderate to severe dysmenorrhea: a qualitative analysis.

A recent group cognitive behavioral therapy (gCBT) intervention for dysmenorrhea conducted by our team demonstrated feasibility, acceptability, and preliminary efficacy at reducing menstrual pain. This study aimed to use qualitative analyses to explore participants' reflections about the intervention's group dynamic. Participants included 20 young women ages 18-24 years with average menstrual pain of 8.0 (SD = 1.1) on a 0-10 (0 = none, 10 = worst pain possible) numeric rating scale. Semi-structured individual and group interviews were conducted after the intervention. Researchers then conducted deductive, iterative thematic analysis using a template analysis approach. Two themes were generated: benefit and logistics. The benefit theme included two sub-themes: (1) camaraderie (an emotional, psychological, or social connection between participants); and (2) sharing (information, advice, or experiences). The logistics theme highlighted how the structure of the group influenced the dynamic and was divided into two sub-themes according to the time frame being described: (1) reactions (participants' experiences with how the group dynamic was facilitated); and (2) future (how the group structure could be improved). Results of this study contribute to the growing body of literature related to gCBT for pain conditions. Future research is needed to optimize the group dynamic and evaluate its specific therapeutic role in the treatment.

Multilevel barriers and facilitators to widespread use of preconception carrier screening in the United States.

PURPOSE: Although preconception reproductive genetic carrier screening (RGCS) is preferred to screening during pregnancy, population-wide preconception screening is not routinely performed in the United States. We explored the multilevel barriers to the widespread adoption of preconception RGCS in the United States via key informant interviews. METHODS: Semi-structured virtual video interviews were conducted with 29 informants with a breadth of professional expertise between May and October 2022. Data collection and qualitative analyses were guided by the Consolidated Framework for Implementation Research and socioecological model. Analysis focused on identifying barriers to delivering preconception RGCS at and across different levels of health care and exploring potential facilitators of preconception RGCS delivery. RESULTS: Barriers to preconception RGCS were identified at the levels of test characteristics, patients and couples, clinicians and care teams, and the external health care and policy environments. Across the different levels of care delivery, 3 themes of barriers emerged: (1) fragmentation and inconsistencies hinder care delivery, (2) gaps in knowledge, misconceptions, and uncertainties about RGCS are pervasive, and (3) expanding preconception RGCS in the diverse US population presents unique implementation challenges. Potential solutions were detailed by informants. CONCLUSION: Identifying individual and thematic barriers to preconception RGCS delivery may help to define strategies to alleviate obstacles.

Patient experiences and outcomes in a virtual healing setting: A feasibility study.

RESEARCH QUESTIONS: How do participants with anxiety receiving distance healing using tuning forks, experience healing sessions? What outcomes do they spontaneously report? THEORETICAL FRAMEWORK: Modified grounded theory, using single interviews to learn about experiences with distant sound healing. METHODOLOGY: Standardized open-ended, qualitative interviews of 30-minute length were conducted after the intervention and analyzed using an inductive and iterative process for identifying themes, categories, and patterns in qualitative data. CONTEXT: Single-arm, pilot feasibility study of Biofield Tuning (BT) for anxiety during the COVID-19 pandemic delivered at a distance facilitated by Zoom (without video). SAMPLE SELECTION: A total of 15 participants were recruited to this study: 13 completed all quantitative aspects, and the 12 who completed the interviews are reported here. DATA COLLECTION: The 30-minute qualitative interviews were designed to understand the impact of virtual BT sessions on the participant's experience, anxiety, and within the larger context of their life. The Self-Assessment of Change measured subjective shifts pre and post treatment. ANALYSIS AND INTERPRETATION: The interviews were audio-recorded and transcribed using otter.ai. Two researchers read all the transcripts, identified key themes within the broader experience of sessions and outcomes categories, and came to consensus on key themes using a qualitative research analysis approach. MAIN RESULTS: Participants were surprised by the degree to which they felt sensations and heard tuning fork changes. They commented on the accuracy of the healers' perceptions and comprehension of their life experiences. Participants reported positive shifts in perceptions of themselves and their surroundings, both interpersonally and in response to triggers. The patients' own words provide insight into the lived experiences of healing, and guide future research.

Frontline Health Care Workers' Mental Health and Well-Being During the First Year of the COVID-19 Pandemic: Analysis of Interviews and Social Media Data.

BACKGROUND: The COVID-19 pandemic has shed light on fractures in health care systems worldwide and continues to have a significant impact, particularly in relation to the health care workforce. Frontline staff have been exposed to unprecedented strain, and delivering care during the pandemic has affected their safety, mental health, and well-being. OBJECTIVE: This study aimed to explore the experiences of health care workers (HCWs) delivering care in the United Kingdom during the COVID-19 pandemic to understand their well-being needs, experiences, and strategies used to maintain well-being (at individual and organizational levels). METHODS: We analyzed 94 telephone interviews with HCWs and 2000 tweets about HCWs' mental health during the first year of the COVID-19 pandemic. RESULTS: The results were grouped under 6 themes: redeployment, clinical work, and sense of duty; well-being support and HCW's coping strategies; negative mental health effects; organizational support; social network and support; and public and government support. CONCLUSIONS: These findings demonstrate the need for open conversations, where staff's well-being needs and the strategies they adopted can be shared and encouraged, rather than implementing top-down psychological interventions alone. At the macro level, the findings also highlighted the impact on HCW's well-being of public and government support as well as the need to ensure protection through personal protective equipment, testing, and vaccines for frontline workers.

Utilising qualitative data for social network analysis in disaster research: opportunities, challenges, and an illustration.

An abundance of unstructured and loosely structured data on disasters exists and can be analysed using network methods. This paper overviews the use of qualitative data in quantitative social network analysis in disaster research. It discusses two types of networks, each with a relevant major topic in disaster research-that is, (i) whole network approaches to emergency management networks and (ii) personal network approaches to the social support of survivors-and four usable forms of qualitative data. This paper explains five opportunities afforded by these approaches, revolving around their flexibility and ability to account for complex network structures. Next, it presents an empirical illustration that extends the authors' previous work examining the sources and the types of support and barrier experienced by households during long-term recovery from Hurricane (Superstorm) Sandy (2012), wherein quantitative social network analysis was applied to two qualitative datasets. The paper discusses three challenges associated with these approaches, related to the samples, coding, and bias.

A Mixed-Method Evaluation of a Rural Elementary School Implementing the Coordinated Approach to Child Health (CATCH) Program.

Despite children living in rural US areas having 26% greater odds of being affected by obesity compared to those living in urban areas, the implementation of evidence-based programs in rural schools is rare. We collected quantitative data (weight and height) from 272 racially and ethnically diverse students at baseline, and qualitative data from students (4 focus groups), parents, and school staff (16 semi-structured interviews and 29 surveys) to evaluate program outcomes and perceptions. At the 2-year follow-up, paired data from 157 students, represented by racial/ethnic groups of 59% non-Hispanic White, 31% non-Hispanic Black, and 10% Hispanic, showed an overall mean change (SD) in BMI z-score of -0.04 (0.59), a decrease of -0.08 (0.69) in boys, and a significant -0.18 (0.33) decrease among Hispanic students. Boys had a mean decrease in obesity prevalence of 3 percentage points (from 17% to 14%), and Hispanic students had the largest mean decrease in BMI percentile. Qualitative data showed positive perceptions of the CATCH program and its implementation. This community-engaged research, with collaboration from an academic institution, a health department, a local wellness coalition, and a rural elementary school, demonstrated successful CATCH program implementation and showed promising outcomes in mean BMI changes.

Introduction to the Coproduction of Supervision Standards for Digital Peer Support: Qualitative Study.

BACKGROUND: Digital peer support enhances engagement in mental and physical health services despite barriers such as location, transportation, and other accessibility constraints. Digital peer support involves live or automated peer support services delivered through technology media such as peer-to-peer networks, smartphone apps, and asynchronous and synchronous technologies. Supervision standards for digital peer support can determine important administrative, educative, and supportive guidelines for supervisors to maintain the practice of competent digital peer support, develop knowledgeable and skilled digital peer support specialists, clarify the role and responsibility of digital peer support specialists, and support specialists in both an emotional and developmental capacity. OBJECTIVE: Although digital peer support has expanded recently, there are no formal digital supervision standards. The aim of this study is to inform the development of supervision standards for digital peer support and introduce guidelines that supervisors can use to support, guide, and develop competencies in digital peer support specialists. METHODS: Peer support specialists that currently offer digital peer support services were recruited via an international email listserv of 1500 peer support specialists. Four 1-hour focus groups, with a total of 59 participants, took place in October 2020. Researchers used Rapid and Rigorous Qualitative Data Analysis methods. Researchers presented data transcripts to focus group participants for feedback and to determine if the researcher's interpretation of the data match their intended meanings. RESULTS: We identified 51 codes and 11 themes related to the development of supervision standards for digital peer support. Themes included (1) education on technology competency (43/197, 21.8%), (2) education on privacy, security, and confidentiality in digital devices and platforms (33/197, 16.8%), (3) education on peer support competencies and how they relate to digital peer support (25/197, 12.7%), (4) administrative guidelines (21/197, 10.7%), (5) education on the digital delivery of peer support (18/197, 9.1%), (6) education on technology access (17/197, 8.6%), (7) supervisor support of work-life balance (17/197, 8.6%), (8) emotional support (9/197, 4.6%), (9) administrative documentation (6/197, 3%), (10) education on suicide and crisis intervention (5/197, 2.5%), and (11) feedback (3/197, 1.5%). CONCLUSIONS: Currently, supervision standards from the Substance Abuse and Mental Health Services Administration (SAMHSA) for in-person peer support include administrative, educative, and supportive functions. However, digital peer support has necessitated supervision standard subthemes such as education on technology and privacy, support of work-life balance, and emotional support. Lack of digital supervision standards may lead to a breach in ethics and confidentiality, workforce stress, loss of productivity, loss of boundaries, and ineffectively serving users who participate in digital peer support services. Digital peer support specialists require specific knowledge and skills to communicate with service users and deliver peer support effectively, while supervisors require new knowledge and skills to effectively develop, support, and manage the digital peer support role.