Zimbabwe's Human Resources for health Information System (ZHRIS)-an assessment in the context of establishing a global standard.

INTRODUCTION: There have been numerous global calls to action to utilize human resources information systems (HRIS) to improve the availability and quality of data for strengthening the regulation and deployment of health workers. However, with no normative guidance in existence, the development of HRIS has been inconsistent and lacking in standardization, hindering the availability and use of data for health workforce planning and decision making (Riley et al., 2012). CDC and WHO partnered with the Ministry of Health in several countries to conduct HRIS functional requirements analyses and establish a Minimum Data Set (MDS) of elements essential for a global standard HRIS. As a next step, CDC advanced a study to examine the alignment of one of the HRIS it supports (in Zimbabwe) against this MDS. METHOD: For this study, we created a new data collection and analysis tool to assess the extent to which Zimbabwe's CDC-supported HRIS was aligned with the WHO MDS. We performed systematic "gap analyses" in order to make prioritized recommendations for addressing the gaps, with the aim of improving the availability and quality of data on Zimbabwe's health workforce. RESULTS: The majority of the data elements outlined in the WHO MDS were present in the ZHRIS databases, though they were found to be missing various applicable elements. The lack of certain elements could impede functions such as health worker credential verification or equitable in-service training allocation. While the HRIS MDS treats all elements equally, our assessment revealed that not all the elements have equal significance when it comes to data utilization. Further, some of the HRIS MDS elements exceeded the current needs of regulatory bodies and the Ministry of Health and Child Care (MOHCC) in Zimbabwe. The preliminary findings of this study helped inspire the development of a more recent HRH Registry MDS subset, which is a shorter list of priority data elements recommended as a global standard for HRIS. CONCLUSION: The field-tested assessment methodology presented here, with suggested improvements to the tool, can be used to identify absent or unaligned elements in either an HRH Registry or a full HRIS. Addressing the prioritized gaps will increase the availability of critical data in the ZHRIS and can empower the MOHCC and councils to conduct more strategic analyses, improving health workforce planning and ultimately public health outcomes in the country.

eSIP-Saúde: Mozambique's novel approach for a sustainable human resources for health information system.

INTRODUCTION: Over the past decade, governments and international partners have responded to calls for health workforce data with ambitious investments in human resources information systems (HRIS). However, documentation of country experiences in the use of HRIS to improve strategic planning and management has been lacking. The purpose of this case presentation is to document for the first time Mozambique's novel approach to HRIS, sharing key success factors and contributing to the scant global knowledge base on HRIS. CASE PRESENTATION: Core components of the system are a Government of Mozambique (GOM) registry covering all workers in the GOM payroll and a "health extension" which adds health-sector-specific data to the GOM registry. Separate databases for pre-service and in-service training are integrated through a business intelligence tool. The first aim of the HRIS was to identify the following: who and where are Mozambique's health workers? As of July 2015, 95 % of countrywide health workforce deployment information was populated in the HRIS, allowing the identification of health professionals' physical working location and their pay point. HRIS data are also used to quantify chronic issues affecting the Ministry of Health (MOH) health workforce. Examples include the following: HRIS information was used to examine the deployment of nurses trained in antiretroviral therapy (ART) vis-à-vis the health facilities where ART is being provided. Such results help the MOH align specialized skill sets with service provision. Twenty-five percent of the MOH health workforce had passed the 2-year probation period but had not been updated in the MOH information systems. For future monitoring of employee status, the MOH established a system of alerts in semi-monthly reports. As of August 2014, 1046 health workers were receiving their full salary but no longer working at the facilities. The MOH is now analyzing this situation to improve the retirement process and coordination with Social Security. CONCLUSION: The Mozambican system is an important example of an HRIS built on a local platform with local staff. Notable models of strategic data use demonstrate that the system is empowering the MOH to improve health services delivery, health workforce allocation, and management. Combined with committed country leadership and ownership of the program, this suggests strong chances of sustainability and real impact on public health equity and quality.

Do interoperable national information systems enhance availability of data to assess the effect of scale-up of HIV services on health workforce deployment in resource-limited countries?

Sub-Saharan Africa (SSA) bears the heaviest burden of the HIV epidemic. Health workers play a critical role in the scale-up of HIV programs. SSA also has the weakest information and communication technology (ICT) infrastructure globally. Implementing interoperable national health information systems (HIS) is a challenge, even in developed countries. Countries in resource-limited settings have yet to demonstrate that interoperable systems can be achieved, and can improve quality of healthcare through enhanced data availability and use in the deployment of the health workforce. We established interoperable HIS integrating a Master Facility List (MFL), District Health Information Software (DHIS2), and Human Resources Information Systems (HRIS) through application programmers interfaces (API). We abstracted data on HIV care, health workers deployment, and health facilities geo-coordinates. Over 95% of data elements were exchanged between the MFL-DHIS and HRIS-DHIS. The correlation between the number of HIV-positive clients and nurses and clinical officers in 2013 was R2=0.251 and R2=0.261 respectively. Wrong MFL codes, data type mis-match and hyphens in legacy data were key causes of data transmission errors. Lack of information exchange standards for aggregate data made programming time-consuming.

Kenya's health workforce information system: a model of impact on strategic human resources policy, planning and management.

OBJECTIVE: Countries worldwide are challenged by health worker shortages, skill mix imbalances, and maldistribution. Human resources information systems (HRIS) are used to monitor and address these health workforce issues, but global understanding of such systems is minimal and baseline information regarding their scope and capability is practically non-existent. The Kenya Health Workforce Information System (KHWIS) has been identified as a promising example of a functioning HRIS. The objective of this paper is to document the impact of KHWIS data on human resources policy, planning and management. METHODS: Sources for this study included semi-structured interviews with senior officials at Kenya's Ministry of Medical Services (MOMS), Ministry of Public Health and Sanitation (MOPHS), the Department of Nursing within MOMS, the Nursing Council of Kenya, Kenya Medical Practitioners and Dentists Board, Kenya's Clinical Officers Council, and Kenya Medical Laboratory Technicians and Technologists Board. Additionally, quantitative data were extracted from KHWIS databases to supplement the interviews. Health sector policy documents were retrieved from MOMS and MOPHS websites, and reviewed to assess whether they documented any changes to policy and practice as having been impacted by KHWIS data. RESULTS: Interviews with Kenyan government and regulatory officials cited health workforce data provided by KHWIS influenced policy, regulation, and management. Policy changes include extension of Kenya's age of mandatory civil service retirement from 55 to 60 years. Data retrieved from KHWIS document increased relicensing of professional nurses, midwives, medical practitioners and dentists, and interviewees reported this improved compliance raised professional regulatory body revenues. The review of Government records revealed few references to KHWIS; however, documentation specifically cited the KHWIS as having improved the availability of human resources for health information regarding workforce planning, management, and development. CONCLUSION: KHWIS data have impacted a range of improvements in health worker regulation, human resources management, and workforce policy and planning at Kenya's ministries of health.