Background: There is a growing body of evidence that asserts community engagement approaches can improve the quality of reproductive health services. Family planning (FP) programs in Togo are implementing such approaches, which aim to mobilize both health workers and communities to improve FP service quality and FP uptake. However, there is not enough known about the enabling factors and challenges associated with implementation, or the extent to which the programs improve outcomes leading to contraceptive uptake.
Methods: We qualitatively explored how a community engagement approach influenced health worker and community perceptions related to FP service delivery in and around the city of Lomé, Togo, within the context of the broader integration of social and behavior change and service delivery. We conducted 18 in-depth interviews with health workers and 9 focus group discussions with community members.
Results: We found the approach, which included community dialogues, site walkthrough visits and the development of community action plans, worked synergistically together to support collaborative action between communities and health workers to increase mutual understanding of their collective needs related to FP services. Community members cited improved reception at the health facilities by health workers and indicated that the site walkthrough visits created a greater sense of empathy towards the providers and the challenges faced in their work environment. Health workers acknowledged a greater understanding of barriers at the community level following community dialogues, particularly among community members that are not routinely encountered at the health facility for reproductive health services such as men and youth. We found limited implementation of health facility improvements included in community action plans because they were dependent on commitment from community leadership and the need to mobilize additional support or financial resources.
Conclusion: Community engagement approaches are a promising mechanism to support collaboration and enhance mutual understanding between health workers and communities to achieve improved FP service quality. Future programs should consider incorporating additional mechanisms to monitor community action plans and provide support to address structural challenges at the facility level particularly those that require financial resources.
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http://dx.doi.org/10.3389/frph.2024.1389716 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
Faculty of Nursing, Chulalongkorn University, Borommaratchachonnani Srisataphat, Building, Rama 1 Road, Pathumwan, 10330, Bangkok, Thailand.
Frontline health workers face a significant issue concerning mental health, particularly stress and burnout. Nurses, being among them, grapple with this problem. The study aims to investigate the prevalence and determinants of burnout among nurses.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Innovation Center for Diagnostics and Treatment of Thalassemia, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, China.
Despite the well-documented mutation spectra of β-thalassemia, the genetic variants and haplotypes of globin gene clusters modulating its clinical heterogeneity remain incompletely illustrated. Here, a targeted long-read sequencing (T-LRS) is demonstrated to capture 20 genes/loci in 1,020 β-thalassemia patients. This panel permits not only identification of thalassemia mutations at 100% of sensitivity and specificity, but also detection of rare structural variants (SVs) and single nucleotide variants (SNVs) in modifier genes/loci.
View Article and Find Full Text PDFJ Community Psychol
January 2025
Nursing Faculty, Public Health Nursing Department, Atatürk University, Yakutiye Erzurum, Turkey.
This study aimed to investigate the resilience, stress levels, coping styles, and the impact of related factors among nurses working in primary healthcare during the COVID-19 pandemic. Designed as a cross-sectional study, the research included 86 volunteer nurses employed in primary healthcare institutions in Bitlis provincial center and its districts in Turkey. Data were collected between March and June 2022 using a sociodemographic information form, the Resilience Scale for Adults, and the Ways of Coping Questionnaire.
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