Community involvement in health development: an evaluation of rural health facility management committees in Nyeri District, Kenya

2004 ◽  
Vol 3 (3) ◽  
Author(s):  
LN Mutara
Keyword(s):  
Rural Health ◽  
Health Facility ◽  
Community Involvement ◽  
Facility Management ◽  
Health Development

scholarly journals Building capacity in health facility management: guiding principles for skills transfer in Liberia

2010 ◽  
Vol 8 (1) ◽  
Author(s):  
Laura A Rowe ◽  
Sister Barbara Brillant ◽  
Emily Cleveland ◽  
Bernice T Dahn ◽  
Shoba Ramanadhan ◽  
...  
Keyword(s):  
Health Facility ◽  
Facility Management ◽  
Skills Transfer ◽  
Building Capacity ◽  
Guiding Principles

scholarly journals Development of a Master Health Facility List in Nigeria

2014 ◽  
Vol 6 (2) ◽  
Author(s):  
Olusesan Ayodeji Makinde ◽  
Aderemi Azeez ◽  
Samson Bamidele ◽  
Akin Oyemakinde ◽  
Kolawole A Oyediran ◽  
...  
Keyword(s):  
Health Information ◽  
Health Facility ◽  
Health Information Systems ◽  
Facility Management ◽  
Health Facilities ◽  
Unique Identifier ◽  
Explicit Processes ◽  
National Health Information Infrastructure ◽  
Multi Level ◽  
State Code

Introduction: Routine Health Information Systems (RHIS) are increasingly transitioning to electronic platforms in several developing countries. Establishment of a Master Facility List (MFL) to standardize the allocation of unique identifiers for health facilities can overcome identification issues and support health facility management. The Nigerian Federal Ministry of Health (FMOH) recently developed a MFL, and we present the process and outcome.Methods: The MFL was developed from the ground up, and includes a state code, a local government area (LGA) code, health facility ownership (public or private), the level of care, and an exclusive LGA level health facility serial number, as part of the unique identifier system in Nigeria. To develop the MFL, the LGAs sent the list of all health facilities in their jurisdiction to the state, which in turn collated for all LGAs under them before sending to the FMOH. At the FMOH, a group of RHIS experts verified the list and identifiers for each state.Results: The national MFL consists of 34,423 health facilities uniquely identified. The list has been published and is available for worldwide access; it is currently used for planning and management of health services in Nigeria.Discussion: Unique identifiers are a basic component of any information system. However, poor planning and execution of implementing this key standard can diminish the success of the RHIS.Conclusion: Development and adherence to standards is the hallmark for a national health information infrastructure. Explicit processes and multi-level stakeholder engagement is necessary to ensuring the success of the effort. 

scholarly journals A conceptual evaluation framework for the water and sanitation for health facility improvement tool (WASH FIT)

2019 ◽  
Vol 9 (2) ◽  
pp. 380-391 ◽  
Author(s):  
Nicole Weber ◽  
Molly Patrick ◽  
Arabella Hayter ◽  
Andrea L. Martinsen ◽  
Rick Gelting
Keyword(s):  
Health Facility ◽  
Occupational Safety ◽  
Well Being ◽  
Good Health ◽  
Evidence Base ◽  
Facility Management ◽  
Evaluation Framework ◽  
Health Systems Strengthening ◽  
Infection Prevention And Control ◽  
Water And Sanitation

Abstract Healthcare facilities (HCFs) in low- and middle-income countries frequently lack water, sanitation and hygiene (WASH) services that are adequate to implement infection prevention and control (IPC) practices, decrease healthcare-associated infections and antimicrobial resistance, and provide quality healthcare. The Water and Sanitation for Health Facility Improvement Tool (WASH FIT), initially published in 2017 and updated in 2018, is a risk-based, continuous improvement framework. The tool aims to improve WASH and related facility management and may contribute to quality of care (QoC) efforts. To date, there is no guidance available on how to monitor and evaluate the use of this tool nor is there rigorous evidence on its effectiveness. We developed a conceptual WASH FIT evaluation framework by drawing from the broader WASH, health systems strengthening, and QoC evidence base. This framework provides a common basis to plan, implement, monitor, and evaluate potential inputs, outputs, outcomes, and impacts from applying WASH FIT. Routine use of the tool, coupled with WASH infrastructure improvements as guided by the tool, can lead to better IPC practices, and may support improvements in occupational safety, QoC, global health security, and ultimately progress towards achieving Sustainable Development Goals 3 (good health and well-being) and 6 (clean water and sanitation).

Rural Health Development Series, Volumes I-VI

Medical Care ◽  
1981 ◽  
Vol 19 (4) ◽  
pp. 468-469
Author(s):  
Stanley G. Kleiner
Keyword(s):  
Rural Health ◽  
Health Development

scholarly journals Tracking Rural Health Facility Financial Data in Resource-Limited Settings: A Case Study from Rwanda

PLoS Medicine ◽  
2014 ◽  
Vol 11 (12) ◽  
pp. e1001763 ◽  
Author(s):  
Chunling Lu ◽  
Sandy Tsai ◽  
John Ruhumuriza ◽  
Grace Umugiraneza ◽  
Solange Kandamutsa ◽  
...  
Keyword(s):  
Rural Health ◽  
Health Facility ◽  
Financial Data ◽  
Resource Limited Settings ◽  
Resource Limited

scholarly journals Preferences of Medical Students for Rural Medical Internships in South Africa: A Discrete Choice Experiment

2020 ◽  
Author(s):  
Maria Jose ◽  
Amarech Obse ◽  
Mark Zuidgeest ◽  
Olufunke Alaba
Keyword(s):  
Medical Students ◽  
Rural Health ◽  
Health Facility ◽  
Discrete Choice ◽  
Rural Areas ◽  
Choice Experiment ◽  
Practical Experience ◽  
Medical Doctors ◽  
Hospital Safety ◽  
Main Effects

Abstract Background: Globally the proportion of medical doctors to population in rural areas in low- and middle-income countries remains insufficient to address their health care needs. Therefore, it is imperative to design strategies that attract medical doctors to rural areas to reduce health inequalities and achieve universal health coverage. Methods: This study assessed preferences of medical students for rural internships using a discrete choice experiment. Attributes of rural job were identified through literature and focus group discussions. A D-efficient design was generated with 15 choice sets, each with forced binary, unlabelled, rural hospital alternatives. An online survey was conducted, and data analysed using mixed logit models of main effects only and main effects plus interaction terms. Results: Majority of the respondents were females (130/66.33%) and had urban origin (176/89.80%). The main effects only model showed advanced practical experience, hospital safety, correctly fitting personal protective equipment, and availability of basic resources as the most important attributes influencing take up of rural internship, respectively. Respondents were willing to pay ZAR 2645.92 monthly (95%CI: 1345.90; 3945.94) to gain advanced practical experience (equivalent to 66.15% of current rural allowance). In contrast, increases in rural allowance and the provision of housing were the least important attributes. Based on the interaction model, female respondents and those intending general practise associated higher weight for hospital safety over advanced practical experience. Conclusion: In the context of limited budgets and resource constraints, policy makers and rural health facility managers are advised to prioritise meaningful internship practise environments that offer supervised learning environment, safety from physical and occupational hazards and the provision of basic resources for healthcare system-wide benefits to both staff and rural health facility users alike.

scholarly journals A qualitative perinatal audit at a rural health facility in Eldoret, Kenya

2020 ◽  
Vol 7 (2) ◽  
pp. 449
Author(s):  
Kimbley Omwodo
Keyword(s):  
Rural Health ◽  
Perinatal Mortality ◽  
Health Facility ◽  
Perinatal Death ◽  
Gestational Hypertension ◽  
Medical Condition ◽  
World Health ◽  
Maternal Condition ◽  
Perinatal Deaths ◽  
Perinatal Audit

Background: Objectives of the study were to ascertain the pattern of occurrence of perinatal mortality by applying the World Health Organization (WHO), International Classification of Diseases, tenth revision (ICD-10) to deaths during the perinatal period, ICD perinatal mortality (ICD-PM), following the introduction of a qualitative perinatal audit process at a rural health facility in Kenya.Methods: A single centre retrospective analysis demonstrating the application of the WHO, ICD-PM. Data pertaining to perinatal deaths for the period from 1st May 2017 to 31st August 2018 was obtained from Plateau Mission Hospital perinatal audit records.Results: There were 22 perinatal deaths during the study period, 17 were included in the study. The overall perinatal death rate was 11 per 1000 births. Antepartum deaths were as a consequence of fetal growth related problems (33.3%), infection (33.3%) or unexplained (33.3%) with pregnancy-related hypertensive disorders (gestational hypertension, pre-eclampsia and eclampsia) being the most frequent medical condition associated with the mortalities. Neonatal deaths (47.1%) were the most frequent in the study and were a consequence of low birth weight and prematurity (25.0%), Convulsions and disorders of cerebral status (25.0%). The maternal condition in most of these cases being complications of placenta, cord and membranes. Acute intrapartum events and were least in this setting accounting for 17.4% of deaths.Conclusions: The ICD-PM is generalizable and its use in perinatal death classification emphasises focus on both mother and baby. Our study showed the majority of perinatal deaths occurred in the early neonatal period & affected mostly preterm infants. 

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