Dataset Information

Tracking and monitoring the health workforce: a new human resources information system (HRIS) in Uganda.

ABSTRACT:

Background

Health workforce planning is important in ensuring that the recruitment, training and deployment of health workers are conducted in the most efficient way possible. However, in many developing countries, human resources for health data are limited, inconsistent, out-dated, or unavailable. Consequently, policy-makers are unable to use reliable data to make informed decisions about the health workforce. Computerized human resources information systems (HRIS) enable countries to collect, maintain, and analyze health workforce data.

Methods

The purpose of this article is twofold. First, we describe Uganda's transition from a paper filing system to an electronic HRIS capable of providing information about country-specific health workforce questions. We examine the ongoing five-step HRIS strengthening process used to implement an HRIS that tracks health worker data at the Uganda Nurses and Midwives Council (UNMC). Secondly, we describe how HRIS data can be used to address workforce planning questions via an initial analysis of the UNMC training, licensure and registration records from 1970 through May 2009.

Results

The data indicate that, for the 25 482 nurses and midwives who entered training before 2006, 72% graduated, 66% obtained a council registration, and 28% obtained a license to practice. Of the 17 405 nurses and midwives who obtained a council registration as of May 2009, 96% are of Ugandan nationality and just 3% received their training outside of the country. Thirteen per cent obtained a registration for more than one type of training. Most (34%) trainings with a council registration are for the enrolled nurse training, followed by enrolled midwife (25%), registered (more advanced) nurse (21%), registered midwife (11%), and more specialized trainings (9%).

Conclusion

The UNMC database is valuable in monitoring and reviewing information about nurses and midwives. However, information obtained from this system is also important in improving strategic planning for the greater health care system in Uganda. We hope that the use of a real-world example of HRIS strengthening provides guidance for the implementation of similar projects in other countries or contexts.

SUBMITTER: Spero JC

PROVIDER: S-EPMC3049180 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Tracking and monitoring the health workforce: a new human resources information system (HRIS) in Uganda.

Spero Julie C JC McQuide Pamela A PA Matte Rita R

Human resources for health 20110217

<h4>Background</h4>Health workforce planning is important in ensuring that the recruitment, training and deployment of health workers are conducted in the most efficient way possible. However, in many developing countries, human resources for health data are limited, inconsistent, out-dated, or unavailable. Consequently, policy-makers are unable to use reliable data to make informed decisions about the health workforce. Computerized human resources information systems (HRIS) enable countries to ...[more]

PMID: 21329516

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Project description:Despite its importance, the field of human resources for health (HRH) has lagged in developing methods to measure its status and progress in low- and middle-income countries suffering a workforce crisis. Measures of professional health worker densities and distribution are purely numerical, unreliable, and do not represent the full spectrum of workers providing health services. To provide more information on the multi-dimensional characteristics of human resources for health, in 2013-2014, the global USAID-funded CapacityPlus project, led by IntraHealth International, developed and tested a 79-item HRH Effort Index modeled after the widely used Family Planning Effort Index.The index includes seven recognized HRH dimensions: Leadership and Advocacy; Policy and Governance; Finance; Education and Training; Recruitment, Distribution, and Retention; Human Resources Management; and Monitoring, Evaluation, and Information Systems. Each item is scored from 1 to 10 and scores are averaged with equal weights for each dimension and overall. The questionnaire is applied to knowledgeable informants from public, nongovernmental organization, and private sectors in each country. A pilot test among 49 respondents in Kenya and Nigeria provided useful information to improve, combine, and streamline questions. CapacityPlus applied the revised 50-item questionnaire in 2015 in Burkina Faso, Dominican Republic, Ghana, and Mali, among 92 respondents. Additionally, the index was applied subnationally in the Dominican Republic (16 respondents) and in a consensus-building meeting in Mali (43 respondents) after the national application.The results revealed a range of scores between 3.7 and 6.2 across dimensions, for overall scores between 4.8 and 5.5. Dimensions with lower scores included Recruitment, Distribution, and Retention, while Leadership and Advocacy had higher scores.The tool proved to be well understood and provided key qualitative information on the health workforce to assist in health systems strengthening. It is expected that subsequent applications should provide more information for comparison purposes, to refine aspects of the questionnaire and to correlate scores with measures of service outputs and outcomes.

Project description:BackgroundStrengthening the national health information system is one of Ethiopia's priority transformation agendas. A well-trained and competent workforce is the essential ingredient to a strong health information system. However, this workforce has neither been quantified nor characterized well, and there is no roadmap of required human resources to enhance the national health information system.ObjectiveWe aimed to determine the current state of the health information system workforce and to forecast the human resources needed for the health information system by 2030.MethodsWe conducted a survey to estimate the current number of individuals employed in the health information system unit and the turnover rate. Document review and key-informant interviews were used to collect current human resources and available health information system position data from 110 institutions, including the Ministry of Health, federal agencies, regional health bureaus, zonal health departments, district health offices, and health facilities. The Delphi technique was used to forecast human resources required for the health information system in the next ten years: 3 rounds of workshops with experts from the Ministry of Health, universities, agencies, and regional health bureaus were held. In the first expert meeting, we set criteria, which was followed by expert suggestions and feedback.ResultsAs of April 2020, there were 10,344 health information system professionals working in the governmental health system. Nearly 95% (20/21) of district health offices and 86.7% (26/30) of health centers reported that the current number of health information system positions was inadequate. In the period from June 2015 to June 2019, health information technicians had high turnover (48/244, 19.7%) at all levels of the health system. In the next ten years, we estimate that 50,656 health information system professionals will be needed to effectively implement the Ethiopia's national health information system.ConclusionsCurrent health information system-related staffing levels were found to be inadequate. To meet the estimated need of 50,656 multidisciplinary health information system professionals by 2030, the Ministry of Health and regional health bureaus, in collaboration with partners and academic institutions, need to work on retaining existing and training additional health information system professionals.

Project description:BackgroundAlthough attainment of the health-related Millennium Development Goals relies on countries having adequate numbers of human resources for health (HRH) and their appropriate distribution, global understanding of the systems used to generate information for monitoring HRH stock and flows, known as human resources information systems (HRIS), is minimal. While HRIS are increasingly recognized as integral to health system performance assessment, baseline information regarding their scope and capability around the world has been limited. We conducted a review of the available literature on HRIS implementation processes in order to draw this baseline.MethodsOur systematic search initially retrieved 11 923 articles in four languages published in peer-reviewed and grey literature. Following the selection of those articles which detailed HRIS implementation processes, reviews of their contents were conducted using two-person teams, each assigned to a national system. A data abstraction tool was developed and used to facilitate objective assessment.ResultsNinety-five articles with relevant HRIS information were reviewed, mostly from the grey literature, which comprised 84?% of all documents. The articles represented 63 national HRIS and two regionally integrated systems. Whereas a high percentage of countries reported the capability to generate workforce supply and deployment data, few systems were documented as being used for HRH planning and decision-making. Of the systems examined, only 23?% explicitly stated they collect data on workforce attrition. The majority of countries experiencing crisis levels of HRH shortages (56?%) did not report data on health worker qualifications or professional credentialing as part of their HRIS.ConclusionAlthough HRIS are critical for evidence-based human resource policy and practice, there is a dearth of information about these systems, including their current capabilities. The absence of standardized HRIS profiles (including documented processes for data collection, management, and use) limits understanding of the availability and quality of information that can be used to support effective and efficient HRH strategies and investments at the national, regional, and global levels.

Project description:BackgroundDecentralisation has been adopted by many governments to strengthen national systems, including the health system. Decision space is used to describe the decision-making power devolved to local government. Human resource Management (HRM) is a challenging area that District Health Management Teams (DHMT) need some control over its functions to develop innovative ways of improving health services. The study aims to examine the use of DHMTs' reported decision space for HRM functions in Uganda.MethodsMixed methods approach was used to examine the DHMTs' reported decision space for HRM functions in three districts in Uganda, which included self-assessment questionnaires and focus group discussions (FGDs).ResultsThe decision space available for the DHMTs varied across districts, with Bunyangabu and Ntoroko DHMTs reporting having more control than Kabarole. All DHMTs reported full control over the functions of performance management, monitoring policy implementation, forecasting staffing needs, staff deployment, and identifying capacity needs. However, they reported narrow decision space for developing job descriptions, resources mobilisation, and organising training; and no control over modifying staffing norms, setting salaries and developing an HR information system (HRIS). Nevertheless, DHMTs tried to overcome their limitations by adjusting HR policies locally, better utilising available resources and adapting the HRIS to local needs.ConclusionsDecentralisation provides a critical opportunity to strengthen HRM in low-and-middle-income countries. Examining decision space for HRM functions can help identify areas where district health managers can change or improve their actions. In Uganda, decentralisation helped the DHMTs be more responsive to the local workforce needs and analysing decision space helped identify areas for improvement in HRM. There are some limitations and more power over HRM functions and strong management competencies would help them become more resourceful.

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Dataset Information

Tracking and monitoring the health workforce: a new human resources information system (HRIS) in Uganda.

Background

Methods

Results

Conclusion

Publications

Tracking and monitoring the health workforce: a new human resources information system (HRIS) in Uganda.

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