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2. Resilience and burnout of healthcare workers during the early COVID-19 pandemic.

Author

Siddique, Haleema, Maweni Jr, Robert Munashe, Lupi, Micol, Woods, Shannan, Shirazi, Shahram, Foley, Robert William, and Machando, Debra

Subjects
PSYCHOLOGICAL burnout, MEDICAL quality control, STATISTICS, CONFIDENCE intervals, MULTIVARIATE analysis, MEDICAL personnel, PSYCHOSOCIAL factors, QUESTIONNAIRES, DESCRIPTIVE statistics, ODDS ratio, COVID-19 pandemic, PSYCHOLOGICAL resilience
Abstract

Introduction: The COVID-19 pandemic has led to significantly more healthcare workers (HCWs) experiencing burnout than previously. This burnout is strongly associated with low resilience. Addressing organisational stresses and the introduction of resilience training will help to reduce the proportion of HCWs experiencing this phenomenon. Aims: The aim of this study was to assess the impact of the biopsychosocial changes and challenges associated with the COVID-19 pandemic on the healthcare workforce, exploring, specifically, the impact on and relationship between HCWs' resilience and burnout. Methods: An electronic opt-in survey was distributed to HCWs through hospital and professional association communications emails and websites, as well as social media. The survey consisted of demographic questions, the Oldenburg Burnout Inventory to assess burnout, Brief Resilience Scale to assess general resilience, and 10-item Connor-Davidson Resilience Scale to assess resilience during the pandemic. Univariate and multivariate analysis was undertaken to examine the relationship between these factors. Results: A total of 1370 HCWs completed the questionnaire, with 802 (58.5%) having burnout, 348 (25.4%) having low general resilience and 390 (28.5%) having low COVID resilience. Burnout was significantly associated with being public sector workers, low general resilience and low COVID resilience. Resilience training was found to be protective for burnout. Conclusion: The introduction of resilience training in the workplace is a fundamental tool that will significantly benefit HCWs when working under challenging conditions. [ABSTRACT FROM AUTHOR]

Published
2024
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11. MOESM2 of Correlates of social support on report of probable common mental disorders in Zimbabwean informal caregivers of patients with stroke: a cross-sectional survey

Author

Marima, Phillipa, Ropafadzo Gunduza, Machando, Debra, and Dambi, Jermaine

Abstract

Additional file 2. Frequencies of responses on the SSQ, N = 71. Table denotes frequencies of responses on the SSQ, a 14-item, binary common mental disorders (CMDs) screen. Respondents indicate if they had experienced any of the enlisted symptoms in the last seven days. A yes response is scored as “one” and no as “zero”, a score ≥ 8 is indicative of risk of CMDs.

Published
2019
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12. MOESM1 of The impact of social support on the health-related quality of life of adult patients with tuberculosis in Harare, Zimbabwe: a cross-sectional survey

Author

Zarova, Calvin, Chiwaridzo, Matthew, Tadyanemhandu, Catherine, Machando, Debra, and Dambi, Jermaine

Abstract

Additional file 1. Frequencies of responses on the MSPSS, N = 332. Table denotes frequencies of responses on the MSPSS, a 12-item social support outcome measure. Responses are rated on a five-point Likert scale, ranging from strongly disagree = 1 to strongly agree = 5.

Published
2018
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16. ‘Opening up the mind’: problem-solving therapy delivered by female lay health workers to improve access to evidence-based care for depression and other common mental disorders through the Friendship Bench Project in Zimbabwe

Author

Abas, Melanie, primary, Bowers, Tarryn, additional, Manda, Ethel, additional, Cooper, Sara, additional, Machando, Debra, additional, Verhey, Ruth, additional, Lamech, Neha, additional, Araya, Ricardo, additional, and Chibanda, Dixon, additional

Published
2016
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19. MOESM2 of The impact of social support on the health-related quality of life of adult patients with tuberculosis in Harare, Zimbabwe: a cross-sectional survey

Author

Zarova, Calvin, Chiwaridzo, Matthew, Tadyanemhandu, Catherine, Machando, Debra, and Dambi, Jermaine

Subjects
3. Good health
Abstract

Additional file 2. Frequencies of responses on the EQ-5D, N = 332. Table denotes frequencies of responses on the EQ-5D, a generic health-related quality of life measure. Respondents indicate whether they had problems in with self-care, usual activities, mobility, pain/discomfort and anxiety/depression on a three-adjunct scale. Responses are rated as “no problem”, “some problem” and “extreme problem”.

20. MOESM3 of The impact of social support on the health-related quality of life of adult patients with tuberculosis in Harare, Zimbabwe: a cross-sectional survey

Author

Zarova, Calvin, Chiwaridzo, Matthew, Tadyanemhandu, Catherine, Machando, Debra, and Dambi, Jermaine

Subjects
1. No poverty
Abstract

Additional file 3. Variance explained by the model. Table denotes the variance accounted by the variables and the total model expressing the relationship between contextual factors, levels of social support and health-related quality of life.

21. MOESM3 of The impact of social support on the health-related quality of life of adult patients with tuberculosis in Harare, Zimbabwe: a cross-sectional survey

Author

Zarova, Calvin, Chiwaridzo, Matthew, Tadyanemhandu, Catherine, Machando, Debra, and Dambi, Jermaine

Subjects
1. No poverty
Abstract

Additional file 3. Variance explained by the model. Table denotes the variance accounted by the variables and the total model expressing the relationship between contextual factors, levels of social support and health-related quality of life.

22. MOESM2 of The impact of social support on the health-related quality of life of adult patients with tuberculosis in Harare, Zimbabwe: a cross-sectional survey

Author

Zarova, Calvin, Chiwaridzo, Matthew, Tadyanemhandu, Catherine, Machando, Debra, and Dambi, Jermaine

Subjects
3. Good health
Abstract

Additional file 2. Frequencies of responses on the EQ-5D, N = 332. Table denotes frequencies of responses on the EQ-5D, a generic health-related quality of life measure. Respondents indicate whether they had problems in with self-care, usual activities, mobility, pain/discomfort and anxiety/depression on a three-adjunct scale. Responses are rated as “no problem”, “some problem” and “extreme problem”.

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