Investigating the usefulness of Automated Check-in Data Collection in general practice (AC DC Study): a multicentre, cross-sectional study in England.

OBJECTIVES: To investigate the usefulness of using automated appointment check-in screens to collect brief research data from patients, prior to their general practice consultation. DESIGN: A descriptive, cross-sectional study. SETTING: Nine general practices in the West Midlands, UK. Recruitment commenced in Autumn 2018 and was concluded by 31 March 2019. PARTICIPANTS: All patients aged 18 years and above, self-completing an automated check-in screen prior to their general practice consultation, were invited to participate during a 3-week recruitment period. PRIMARY AND SECONDARY OUTCOME MEASURES: The response rate to the use of the automated check-in screen as a research data collection tool was the primary outcome measure. Secondary outcomes included responses to the two research questions and an assessment of impact of check-in completion on general practice operationalisation RESULTS: Over 85% (n=9274) of patients self-completing an automated check-in screen participated in the Automated Check-in Data Collection Study (61.0% (n=5653) women, mean age 55.1 years (range 18-98 years, SD=18.5)). 96.2% (n=8922) of participants answered a 'clinical' research question, reporting the degree of bodily pain experienced during the past 4 weeks: 32.9% (n=2937) experienced no pain, 28.1% (n=2507) very mild or mild pain and 39.0% (n=3478) moderate, severe or very severe pain. 89.3% (n=8285) of participants answered a 'non-clinical' research question on contact regarding future research studies: 46.9% (n=3889) of participants responded 'Yes, I'd be happy for you to contact me about research of relevance to me'. CONCLUSIONS: Using automated check-in facilities to integrate research into routine general practice is a potentially useful way to collect brief research data from patients. With the COVID-19 pandemic initiating an extensive digital transformation in society, now is an ideal time to build on these opportunities and investigate alternative, innovative ways to collect research data. TRIAL REGISTRATION NUMBER: ISRCTN82531292.

Symptom patterns and life with post-acute COVID-19 in children aged 8-17 years: a mixed-methods study protocol.

BACKGROUND: While there is a substantial body of knowledge about acute COVID-19, less is known about long-COVID, where symptoms continue beyond 4 weeks. AIM: To describe longer-term effects of COVID-19 infection in children and young people (CYP) and identify their needs in relation to long-COVID. DESIGN & SETTING: This study comprises an observational prospective cohort study and a linked qualitative study, identifying participants aged 8-17 years in the West Midlands of England. METHOD: CYP will be invited to complete online questionnaires to monitor incidences and symptoms of COVID-19 over a 12-month period. CYP who have experienced long-term effects of COVID will be invited to interview, and those currently experiencing symptoms will be asked to document their experiences in a diary. Professionals who work with CYP will be invited to explore the impact of long-COVID on the wider experiences of CYP, in a focus group. Descriptive statistics will be used to describe the incidence and rates of resolution of symptoms, and comparisons will be made between exposed and non-exposed groups. Logistic regression models will be used to estimate associations between candidate predictors and the development of long-COVID, and linear regression will be used to estimate associations between candidate predictors. Qualitative data will be analysed thematically using the constant comparison method. CONCLUSION: This study will describe features and symptoms of long-COVID and explore the impact of long-COVID within the lives of CYP and their families, to provide better understanding of long-COVID and inform clinical practice.

Burnout among primary health-care professionals in low- and middle-income countries: systematic review and meta-analysis.

Objective: To estimate the prevalence of burnout among primary health-care professionals in low- and middle-income countries and to identify factors associated with burnout. Methods: We systematically searched nine databases up to February 2022 to identify studies investigating burnout in primary health-care professionals in low- and middle-income countries. There were no language limitations and we included observational studies. Two independent reviewers completed screening, study selection, data extraction and quality appraisal. Random-effects meta-analysis was used to estimate overall burnout prevalence as assessed using the Maslach Burnout Inventory subscales of emotional exhaustion, depersonalization and personal accomplishment. We narratively report factors associated with burnout. Findings: The search returned 1568 articles. After selection, 60 studies from 20 countries were included in the narrative review and 31 were included in the meta-analysis. Three studies collected data during the coronavirus disease 2019 pandemic but provided limited evidence on the impact of the disease on burnout. The overall single-point prevalence of burnout ranged from 2.5% to 87.9% (43 studies). In the meta-analysis (31 studies), the pooled prevalence of a high level of emotional exhaustion was 28.1% (95% confidence interval, CI: 21.5-33.5), a high level of depersonalization was 16.4% (95% CI: 10.1-22.9) and a high level of reduced personal accomplishment was 31.9% (95% CI: 21.7-39.1). Conclusion: The substantial prevalence of burnout among primary health-care professionals in low- and middle-income countries has implications for patient safety, care quality and workforce planning. Further cross-sectional studies are needed to help identify evidence-based solutions, particularly in Africa and South-East Asia.

Burnout among primary health-care professionals in low- and middle-income countries: systematic review and meta-analysis Épuisement chez les professionnels des soins de santé primaires dans les pays à revenu faible ou intermédiaire: revue systématique et méta-analyse El desgaste entre los profesionales de la atención primaria de salud en los países de ingresos bajos y medios: revisión sistemática y metanálisis الإرهاق بين أخصائيي الرعاية الصحية الأولية في الدول ذات الدخل المنخفض والدخل المتوسط: مراجعة منهجية وتحليل تلوي 低收入和中等收入国家初级医疗护理工作者的职业倦怠情况：系统回顾和元分析 Профессиональное выгорание среди специалистов первичной медико-санитарной помощи в странах с низким и средним уровнем дохода: систематический обзор и метаанализ

Objective To estimate the prevalence of burnout among primary health-care professionals in low- and middle-income countries and to identify factors associated with burnout. Methods We systematically searched nine databases up to February 2022 to identify studies investigating burnout in primary health-care professionals in low- and middle-income countries. There were no language limitations and we included observational studies. Two independent reviewers completed screening, study selection, data extraction and quality appraisal. Random-effects meta-analysis was used to estimate overall burnout prevalence as assessed using the Maslach Burnout Inventory subscales of emotional exhaustion, depersonalization and personal accomplishment. We narratively report factors associated with burnout. Findings The search returned 1568 articles. After selection, 60 studies from 20 countries were included in the narrative review and 31 were included in the meta-analysis. Three studies collected data during the coronavirus disease 2019 pandemic but provided limited evidence on the impact of the disease on burnout. The overall single-point prevalence of burnout ranged from 2.5% to 87.9% (43 studies). In the meta-analysis (31 studies), the pooled prevalence of a high level of emotional exhaustion was 28.1% (95% confidence interval, CI: 21.5–33.5), a high level of depersonalization was 16.4% (95% CI: 10.1–22.9) and a high level of reduced personal accomplishment was 31.9% (95% CI: 21.7–39.1). Conclusion The substantial prevalence of burnout among primary health-care professionals in low- and middle-income countries has implications for patient safety, care quality and workforce planning. Further cross-sectional studies are needed to help identify evidence-based solutions, particularly in Africa and South-East Asia.