Data from the 2000, 2005, and 2011 Demographic and Health Surveys. DHS Trend Reports No. 7
DHS Working Papers No. 98.
DHS Working Papers No. 127
DHS Working Papers No. 124
Demographic and Health Surveys, Working Paper
This report presents further analysis of the 2015 Nepal Health Facility Survey. Data analysis is based on the Donabedian framework for assessing quality of care in health services, which divides the indicators into three groups: structure, process, and outcome. The World Health Organization Service ...Availability and Readiness Assessment (SARA) indicator guideline was used to assess facility service readiness, service quality and client satisfaction with maternal health services. The study performed both bivariate and multivariate regression analysis to examine the association of maternal health service readiness and quality indicators with client satisfaction.
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DHS Working Papers No. 111 | Zimbabwe Working Papers No. 12
DHS Analytical Studies No. 39
The mandate of the National Tuberculosis Control Programme is to provide leadership and stewardship to accelerate intense and coordinated efforts to reduce the adult TB burden of 290 per 100,000 population recently established in the 2013 National TB Prevalence Survey. Other key challenges are low T...B case notification, unacceptably high TB death rates, low antiretroviral therapy (ART) coverage among TB/HIV patients and low drug-resistant notification and treatment.
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Levels and Inequities
DHS Further Analysis Reports No. 110
This study shows large variations in maternal health indicators across high-priority counties in Kenya. Nairobi exceeds the national average on all maternal health indicators in this study, while other highpriority counties consist...ently are disadvantaged compared with Kenya as a whole in most maternal health indicators. Kisumu exceeds the national average in use of antenatal care, delivery in a health facility, and postnatal care, but not other indicators. Nakuru has fewer women with fertility risk and fewer women who report that the distance they must travel to reach a health facility is a problem.
This study identifies a number of inequities in maternal health indicators across socio-demographic characteristics in the high-priority counties—most in the distribution of delivery care and least in antenatal care. Inequities are also observed in fertility risk and postnatal care.
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SHOPS and HIA finalized a scope of work with USAID Senegal in April 2015, and a team of five private sector experts conducted the onsite assessments between May and June 2015. The Private Sector Assessment (PSA) team worked closely with Senegalese key stakeholders throughout the process. The PSA tea...m interviewed more than120 individuals from approximately 78 organizations, including the government of Senegal (GOS), donors, USAID implementing partners, private sector umbrella organizations, private insurance companies, faith-based organizations (FBOs), nongovernmental organizations (NGOs), private health care facilities, and private pharmacies.
Through stakeholder interviews and review of government reports and online resources, the assessment team noted the following findings by theme.
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USAID Senegal and Health in Africa (HIA) initiative of the World Bank Group engaged the Strengthening Health Outcomes through the Private Sector (SHOPS) project to conduct an assessment of the private health sector in Senegal. The assessment’s primary focus is family planning, and its secondary fo...cus is maternal, neonatal and child health (MNCH), HIV and AIDS, malaria, and nutrition.
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Background: Community Health Workers (CHWs) have a positive impact on the provision of community-based
primary health care through screening, treatment, referral, psychosocial support, and accompaniment. With a
broad scope of work, CHW programs must balance the breadth and depth of tasks to mainta...in CHW motivation for
high-quality care delivery. Few studies have described the CHW perspective on intrinsic and extrinsic motivation to
enhance their programmatic activities.
Methods: We utilized an exploratory qualitative study design with CHWs employed in the household model in Neno
District, Malawi, to explore their perspectives on intrinsic and extrinsic motivators and dissatisfiers in their work. Data
was collected in 8 focus group discussions with 90 CHWs in October 2018 and March–April 2019 in seven purposively
selected catchment areas. All interviews were audiotaped, transcribed verbatim, coded, and analyzed using Dedoose.
Results: Themes of complex intrinsic and extrinsic factors were generated from the perspectives of the CHWs in
the focus group discussions. Study results indicate that enabling factors are primarily intrinsic factors such as positive
patient outcomes, community respect, and recognition by the formal health care system but can lead to the chal-
lenge of increased scope and workload. Extrinsic factors can provide challenges, including an increased scope and
workload from original expectations, lack of resources to utilize in their work, and rugged geography. However, a posi-
tive work environment through supportive relationships between CHWs and supervisors enables the CHWs.
Conclusion: This study demonstrated enabling factors and challenges for CHW performance from their perspec-
tive within the dual-factor theory. We can mitigate challenges through focused efforts to limit geographical distance,
manage workload, and strengthen CHW support to reinforce their recognition and trust. Such programmatic empha-
sis can focus on enhancing motivational factors found in this study to improve the CHWs’ experience in their role. The
engagement of CHWs, the communities, and the formal health care system is critical to improving the care provided
to the patients and communities, along with building supportive systems to recognize the work done by CHWs for
the primary health care systems.
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