Systematic review and meta-analysis of postpartum depression and its associated factors among women before and after the COVID-19 pandemic in Uganda DOI Creative Commons
Amir Kabunga, Raymond Tumwesigye, Eustes Kigongo

et al.

BMJ Open, Journal Year: 2024, Volume and Issue: 14(7), P. e076847 - e076847

Published: July 1, 2024

Objective This meta-analysis aimed to estimate the national prevalence of postpartum depression (PPD) in Uganda and identify predictors both pre-COVID-19 post-COVID-19 eras. Design Used a systematic review methodology. Data sources Reviewed papers were sourced from Medline/PubMed, PsycINFO, CINAHL/EBSCOhost, Google Scholar, ScienceDirect African Journals Online. Eligibility criteria for selected studies The encompassed observational published on PPD 1 January 2000 30 November 2023. Results 11 (involving 7564 participants) 2023 reviewed. pooled was 29% (95% CI 21% 37%, I 2 =98.32%). Subgroup analysis indicated similar before (29%, 95% 20% 39%) during (28%, 22% 32%) COVID-19 period. Special groups exhibited higher (32%, 16% 47%) than general women 19% 37%). Factors associated with included poor social support (OR 1.19, 1.17 1.22, =96.8%), maternal illness 1.19 1.26, =96.9%), socioeconomic status 1.43, 1.40 1.46, =99.5%) undergoing caesarean section 1.15, 1.12 1.17, =80.6%). Surprisingly, there marginal decrease highlighted among mothers HIV. Conclusion study underscores significant Uganda, sociodemographic factors increasing risk. Despite slight period, importance prioritising mental health is emphasised, considering pandemic challenges, improve child outcomes overall well-being.

Language: Английский

Toward a Comprehensive Understanding of Nurses' Compassion Fatigue: A Meta‐Integrative Qualitative Synthesis DOI Creative Commons
Huiling Zhang, Wireen Leila Dator

Journal of Advanced Nursing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

ABSTRACT Aims The study aims to conduct a thematic synthesis approach of existing qualitative research synthesise the real experiences nurses dealing with compassion fatigue. This integration seeks provide comprehensive overview, identify common themes, and offer theoretical support for developing effective intervention strategies mitigate fatigue in healthcare settings. Design A was utilised, synthesising studies on nurses' Data Sources were collected from major academic databases, including PubMed, CINAHL, Scopus, Web Science. total 15 met inclusion criteria. Review Methods systematically reviewed 11 articles China, United States, Japan, Spain, Iran Finland, involving 1076 nurses, analyse integrate phenomenon among extract themes. Results analysis revealed that leading causes include insufficient time resources, psychosocial stressors, overload organisational environmental factors. manifestations primarily consist work‐related difficulties impacts family life, emotional physical exhaustion mix positive negative emotions. Coping focus self‐care regulation, symptom recognition response interventions training. Conclusion study's findings institutions develop alleviate improve quality care. Impact contributes body knowledge by evidence nurses. results have practical implications nursing management policy, emphasising need supportive measures protect ensure sustainable care practices. Patient or Public Contribution does not directly involve patients public participants but focuses as reported studies, thereby indirectly contributing improving patient addressing well‐being providers.

Language: Английский

Citations

0
Establishment and validation of a prediction model for compassion fatigue in nursing students DOI Creative Commons
Huiling Zhang, Wireen Leila Dator

BMC Nursing, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 19, 2025

Compassion fatigue is a common issue nursing students face during clinical internships. Prolonged exposure to patients' suffering and trauma can lead emotional exhaustion psychological stress. Compared formal healthcare workers, have less professional experience weaker regulation abilities, making them more vulnerable secondary other negative emotions, which exacerbates compassion fatigue. Early identification intervention in are crucial for improving the mental health of quality care they provide. This study aims develop predictive model using various statistical machine learning methods, identify key influencing factors, provide scientific evidence educators administrators. A cross-sectional survey collected valid questionnaire data from 512 students. LASSO regression was used select critical variables, models such as logistic regression, random forest, XGBoost were applied prediction. Model performance evaluated, SHAP values interpret importance features. The performed best on test set with an AUC value 0.77. Key factors included resilience, peer support, trauma, empathy satisfaction. successfully developed students, showing high accuracy. identified theoretical support early interventions, aiding targeted management enhancing well-being Not applicable. observational aimed at investigating among without involving any interventions or treatment methods. Therefore, this does not meet definition trial require registration number.

Language: Английский

Citations

0
Burnout, Compassion Fatigue, and Compassion Satisfaction Interventions via Mobile Applications: A Systematic Review and a Meta‐Analysis DOI Creative Commons

Denis Deriglazov,

Júlia Halamová,

Lívia Kernová

et al.

Worldviews on Evidence-Based Nursing, Journal Year: 2025, Volume and Issue: 22(3)

Published: May 13, 2025

ABSTRACT Background The increasing prevalence of burnout, compassion fatigue, and reduced satisfaction among healthcare professionals has highlighted the need for effective interventions. Mobile applications offer a promising solution due to their accessibility low cost. Methods This systematic review meta‐analysis evaluates effectiveness mobile interventions in addressing professionals, while analyzing subcomponents burnout account frequently overlapping definitions symptoms shared by these conditions. We included randomized controlled trials (RCTs) quasi‐experimental studies published between 2010 2024. Data were synthesized using random effects model, with effect sizes estimated Hedge's g . Results Fourteen met inclusion criteria, comprising 11 RCTs 3 studies, participant numbers ranging from 20 2182. Most intervention content focused on mindfulness meditation ( n = 7) resilience‐based programs 3). indicated mixed results resilience apps, most that used showed improvements burnout. Although directly targeting fatigue no significant effects, revealed domains, including personal accomplishment (Hedge's 0.51) findings emotional exhaustion. While do not reduce or raise satisfaction, they may contribute job sense professional efficacy. A sensitivity analysis improved homogeneity, leading exhaustion generalizability our findings. Linking Evidence Action Interventions mindfulness, training, other strategies via enhance show reducing Their depersonalization, remains inconsistent. Current research predominantly focuses despite evidence suggesting broader range also suffer limited data highlights gap current literature, showing further high‐quality form RCTs.

Language: Английский

Citations

0
Level of burnout and associated factors among healthcare workers in central Uganda: A facility-based cross-sectional study DOI Creative Commons
Amir Kabunga, Eustes Kigongo, Marvin Musinguzi

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0309701 - e0309701

Published: Oct. 29, 2024

Background Burnout among healthcare workers is a global concern with significant implications for both the well-being of workforce and quality patient care. This facility-based cross-sectional study aimed to identify factors associated burnout in central Uganda. Methods The study, conducted between June July 2023, utilized design involving physicians, nurses, technicians. covered public private hospitals Uganda, incorporating urban rural settings. A sample size 550 was selected using simple random sampling. Data collection involved socio-demographic survey, Professional Quality Life (ProQOL-5). Descriptive statistics, Pearson Chi-square test, ordinal regression models were employed analyze demographic burnout. Results Of 548 participants, 218(39.8%) experienced high levels. Factors significantly levels included having over 10 years work experience (OR: 2.04, 95% CI: 1.12–3.73), working more than 40 hours per week (AOR: 4.46, 1.20–16.62), lack management support 14.45, 3.83–54.56), not experiencing workplace violence 2.22, 1.31–3.76), reporting inadequate sleep 6.96, 3.86–12.57). Conclusion Addressing Uganda requires targeted interventions tailored specific challenges faced region, including workload distribution, managerial enhancement, prevention strategies, promotion adequate sleep. Urgent attention these essential enhancing professionals maintaining

Language: Английский

Citations

3
Systematic review and meta-analysis of postpartum depression and its associated factors among women before and after the COVID-19 pandemic in Uganda DOI Creative Commons
Amir Kabunga, Raymond Tumwesigye, Eustes Kigongo

et al.

BMJ Open, Journal Year: 2024, Volume and Issue: 14(7), P. e076847 - e076847

Published: July 1, 2024

Objective This meta-analysis aimed to estimate the national prevalence of postpartum depression (PPD) in Uganda and identify predictors both pre-COVID-19 post-COVID-19 eras. Design Used a systematic review methodology. Data sources Reviewed papers were sourced from Medline/PubMed, PsycINFO, CINAHL/EBSCOhost, Google Scholar, ScienceDirect African Journals Online. Eligibility criteria for selected studies The encompassed observational published on PPD 1 January 2000 30 November 2023. Results 11 (involving 7564 participants) 2023 reviewed. pooled was 29% (95% CI 21% 37%, I 2 =98.32%). Subgroup analysis indicated similar before (29%, 95% 20% 39%) during (28%, 22% 32%) COVID-19 period. Special groups exhibited higher (32%, 16% 47%) than general women 19% 37%). Factors associated with included poor social support (OR 1.19, 1.17 1.22, =96.8%), maternal illness 1.19 1.26, =96.9%), socioeconomic status 1.43, 1.40 1.46, =99.5%) undergoing caesarean section 1.15, 1.12 1.17, =80.6%). Surprisingly, there marginal decrease highlighted among mothers HIV. Conclusion study underscores significant Uganda, sociodemographic factors increasing risk. Despite slight period, importance prioritising mental health is emphasised, considering pandemic challenges, improve child outcomes overall well-being.

Language: Английский

Citations

1