How healthy is our primary health care workforce? A cross-sectional study

Behera, Binod Kumar; Bhatia, Vikas; Giri, Prajna Paramita; Taywade, Manish

doi:10.4103/jfmpc.jfmpc_769_20

Cited by 4 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…"Retirement" is determined by individual choices and regulations governing the right to retire. Other groups within this category, i.e., death, disability, and other departures, significantly impact the number of healthcare workers and reflect the workers' movement and working conditions in the field (Behera et al, 2020). This category significantly impacts the number of healthcare workers, so the normative framework and sectoral regulations need to be thoroughly discussed with healthcare policymakers.…”

Section: Resultsmentioning

confidence: 99%

Management of health care workforce

Stanimirović

Brinovec²

2023

Management (Split, Online)

View full text Add to dashboard Cite

The healthcare system’s effectiveness depends mainly on healthcare workers’ knowledge, skills, and motivation, particularly during the COVID-19 pandemic. Systematic planning of human resources is, therefore, an essential prerequisite for ensuring the sustainability and efficiency of the health care system. This article outlines a structural human resource planning model in health care and explores the complexities involved. A detailed analytical framework is proposed, drawing on various materials and evidence to outline the factors that influence human resource planning in health care. The in-depth analytical process employs an extensive literature review to provide greater credibility to research findings. It investigates numerous sources and materials, both in national and international contexts. The purpose of human resource planning initiatives in healthcare is to calculate the needed number of healthcare workers in the future based on past and current data and assumptions about future supply and demand trends. The research findings reveal this is a very challenging task, as there are typically many unknowns when planning for the future. In addition, planners often need more reliable data and systemic deficiencies. Furthermore, the study shows that unplanned and delayed solutions concerning human resource needs in healthcare can only alleviate problems. Still, they cannot replace effective strategic measures and timely structural changes within the healthcare ecosystem.

show abstract

Section: Resultsmentioning

confidence: 99%

Management of health care workforce

Stanimirović

Brinovec²

2023

Management (Split, Online)

View full text Add to dashboard Cite

show abstract

“…Behera surveyed 257 primary care workers in Indonesia and found that 21 (9.5%) participants were experiencing major depression. 5 Similarly, Knuth et al surveyed 181 primary care workers in Brazil and found that 28.2% of them had experienced depressive episodes. 6 The COVID-19 pandemic has exacerbated this trend, 7 drawing more attention to the psychological well-being of HCPs.…”

Section: Introductionmentioning

confidence: 99%

Correlation between uncertainty stress and depression among healthcare professionals in China: a nationwide cross-sectional survey

Xia,

Wu,

Yan

et al. 2024

BMJ Open

View full text Add to dashboard Cite

ObjectiveThis study investigated the correlation between uncertainty stress (US) and depression among healthcare professionals (HCPs) in China.Design, settings and participantsA cross-sectional online survey was conducted by recruiting HCPs from three provinces in China (central, eastern and western) through purposive sampling between 29 September 2022 and 18 January 2023. US was measured using the Life Stress Questionnaire and depression was measured using the Patient Health Questionnaire-9. In total, 2976 questionnaires were deemed valid.Primary and secondary outcomeThis study examined the prevalence of US and depression among HCPs in China; the correlating sociodemographic traits; and the correlation between US and depression.ResultsThe prevalence of US and depression among HCPs in China was 26.54% (790 out of 2976) and 71.63% (2132 out of 2976). Binary logistic analysis revealed that individuals with graduate degrees (OR: 1.83; 95% CI 1.07 to 3.11; p<0.05), central China (OR: 1.75; 95% CI 1.36 to 2.24; p<0.01), primary medical institutes (OR: 1.33; 95% CI 1.03 to 1.72; p<0.05), secondary medical institutes (OR: 1.30; 95% CI 1.01 to 1.68; p<0.05), an annual income of less than ¥50 000 (OR: 1.85; 95% CI 1.26 to 2.73; p<0.01) and an income range of ¥50 000–¥99 999 (OR: 1.49; 95% CI 1.10 to 2.03; p<0.05) were associated with a higher likelihood of US. The adjusted logistic regression model demonstrated that HCPs with higher US had a greater likelihood of depression (adjusted OR: 5.02; 95% CI 3.88 to 6.50; p<0.01). The increase in the US score was paralleled by an increased depression score (beta (B): 1.32; 95% CI 1.25 to 1.39; p<0.01).ConclusionThese findings reveal a significant correlation between US and depression among HCPs and suggest that improving the management of US may help reduce the prevalence of depression among HCPs.

show abstract

Decoding morbidity patterns in ASHA workers of Vadodara, Gujarat – A cross-sectional study

Chauhan,

Pankaj,

Dhakate

et al. 2024

Journal of Family Medicine and Primary Care

View full text Add to dashboard Cite

Introduction: Accredited Social Health Activists (ASHA) play a pivotal role as village-level functionaries under the National Health Mission, driving community transformation, facilitating health planning, and ensuring access to healthcare services. Objectives: To assess the physical health status of ASHA workers and to investigate the prevalence of morbidities among ASHA workers. Material and Methods: This is a cross-sectional study, conducted in Vadodara’s east zone, and involves 123 ASHA workers. A questionnaire focusing on health profiles, encompassing age, weight, height, body mass index, and blood pressure, as well as histories of acute and chronic illnesses, was employed for data collection. Descriptive statistics were employed to summarize demographic and professional characteristics, and inferential statistics, such as Chi-square tests, were applied to assess associations and factors influencing the morbidity profile of the ASHA workers. Results: The participant’s mean age was 38.9 ± 6.85 years. The majority, 74 (60.2%), of them reported no morbidity, whereas 40 (32.52%) had a chronic illness and 9 (7.32%) had acute morbidity at the time of visit. Among the chronic morbidity, 50% of ASHA had poly morbidity. Anemia was found among most ASHAs, 32 (26.02%), followed by diabetes, 19 (15.45%), and hypertension, musculoskeletal problems, thyroid disorders, and obesity were the other major diseases found among the ASHAs in 14.63%, 13.82%, 13.01%, and 11.38%, respectively. Skin problems like fungal infection and rashes were found among 5.69%. Based on body mass index, 27 (21.95%) were found overweight and 14 (11.38%) were obese. Conclusion: The study revealed a 32% chronic morbidity prevalence among ASHA workers who are taking care of citizens’ health. It is high time to take care of our health team. First, they should be healthy as they are the role models of the community.

show abstract

How healthy is our primary health care workforce? A cross-sectional study

Cited by 4 publications

References 13 publications

Management of health care workforce

Management of health care workforce

Correlation between uncertainty stress and depression among healthcare professionals in China: a nationwide cross-sectional survey

Decoding morbidity patterns in ASHA workers of Vadodara, Gujarat – A cross-sectional study

Contact Info

Product

Resources

About