Enhancing the quality of mortality statistics and causes of death in the national health management information system in Viet Nam

2018 ◽  
Author(s):  
Thi Hong Tran
Keyword(s):  
Information System ◽  
National Health ◽  
Management Information System ◽  
Causes Of Death ◽  
Health Management ◽  
Health Management Information System ◽  
Viet Nam ◽  
Management Information ◽  
Mortality Statistics

scholarly journals Data Quality of the Routine Health Management Information System at the Primary Healthcare Facility and District Levels in Tanzania

2020 ◽  
Author(s):  
SUSAN F. RUMISHA ◽  
EMANUEL P. LYIMO ◽  
IRENE R. MREMI ◽  
PATRICK K. TUNGU ◽  
VICTOR S. MWINGIRA ◽  
...  
Keyword(s):  
Information System ◽  
Data Quality ◽  
Management Information System ◽  
Health Management ◽  
Health Centre ◽  
Healthcare Facility ◽  
Health Management Information System ◽  
Management Information ◽  
Service Areas

Abstract Background: Effective planning for disease prevention and control requiresaccurate, adequately-analysed, interpreted and communicated data. This study assessed the quality of routine Health Management Information System (HMIS) data at healthcare facility (HF) and district levels in Tanzania. Methods: HMIS tools used at primary health care facilities (dispensary, health centre, hospital) and district office were reviewed to assess their availability, completeness, and accuracy of collected data. The assessment involved seven health service areas namely, Outpatient department, Inpatient department, Antenatal care, Family Planning, Post-natal care, Labour and Delivery and Provider-initiated Testing and Counselling.Results: A total of 115 HFs in 11 districts were assessed. Registers (availability rate=91.1%; interquartile range (IQR):66.7%-100%) and reportforms (86.9%;IQR:62.2%-100%) were the most utilized tools. There was a limited use of tally-sheets (77.8%;IQR:35.6%-100%). Tools availability at dispensary was 91.1%, health-centre 82.2% and hospital 77.8%, and was poor in urban districts. The availability rate atthe district level was 65% (IQR:48%-75%). Reports were highly over-represented in comparison to registers’ records, with large differences observed at HF phase of the data journey and more profound in hospitals.Tool availability and data quality varied by service-areas, indicators, facility level, and districts, however, with a remarkable improvement over the years.Conclusion: There are high variations and improvements in the tool utilisation and data accuracy at facility and district levels. The routine HMIS is weak and data at district level inaccurately reflects what is available at the HFs. These results highlight the need to design tailored and inter-service strategies for improving data quality.

scholarly journals Quality assurance of health management information system in Kayunga district, Uganda

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Harriet R. Kagoya ◽  
Dan Kibuule
Keyword(s):  
Health Care ◽  
Information System ◽  
Quality Assurance ◽  
Management Information System ◽  
Health Management ◽  
Care Delivery ◽  
Public Health Care ◽  
Health Management Information System ◽  
Management Information

Background: An efficient health management information system (HMIS) improves health care delivery and outcomes. However, in most rural settings in Uganda, paper-based HMIS are widely used to monitor public health care services. Moreover, there are limited capabilities and capacity for quality HMIS in remote settings such as Kayunga district.Objectives: The quality assurance practices of HMIS in health centres (HCs) in Kayunga district were evaluated.Method: A cross-sectional descriptive study design was used to assess the quality of HMIS at 21 HCs in Kayunga district. Data were collected through in-depth interviews of HMIS focal persons as well as document analysis of HMIS records and guidelines between 15 June 2010 and 15 July 2010. The main outcomes were quality assurance practices, the HMIS programmatic challenges and opportunities. The practice of HMIS was assessed against a scale for good quality assurance practices. Qualitative data were coded and thematically analysed, whereas quantitative data were analysed by descriptive statistics using SPSS v22 software.Results: All the 21 HCs had manual paper-based HMIS. Less than 25% of HCs practised quality assurance measures during collection, compilation, analysis and dissemination of HMIS data. More than 50% of HCs were not practising any type of quality assurance during analysis and dissemination of data. The main challenges of the HMIS were the laborious and tedious manual system, the difficulty to archive and retrieve records, insufficient HMIS forms and difficulty in delivering hard copies of reports to relevant stakeholders influenced quality of data. Human resource challenges included understaffing where 43% of participating HCs did not have a designated HMIS staff.Conclusion: The HMIS quality assurance practices in Kayunga were suboptimal. Training and support supervision of HMIS focal persons is required to strengthen quality assurance of HMIS. Implementation of electronic HMIS dashboards with data quality checks should be integrated alongside the manual system.

scholarly journals Comparing data Reported Using the National Health Management Information System and data Declared Validated on the PBF Declaration Forms in Funding Health Districts in Nasarawa State

2021 ◽  
Vol 9 (2) ◽  
pp. 210-219
Author(s):  
Prince Olueseh Ezekiel
Keyword(s):  
Information System ◽  
Health Service ◽  
Service Delivery ◽  
Management Information System ◽  
Health Management ◽  
Health Service Delivery ◽  
Health Centers ◽  
Health Management Information System ◽  
Management Information

The National Health Management Information System (NHMIS) Was Designed To Provide Timely And Reliable Health Service Delivery Information. The Efficiency And Effectiveness Of Health Service Delivery Is Assessed By The Availability Of Quality, Complete And Timely Data. The NHMIS Policy Review Was Initiated By A Consortium Of Relevant Stake Holders Led By The Department Of Planning, Research And Statistics (DPRS) Of The Federal Ministry Of Health (FMOH) And The National Primary Health Care Development Agency (NPHCDA). The Emphasis Of The NHMIS Is To Strengthen The Health Information System-HIS In The Country And Promote The Use Of Quality Information For Evidence-Based Decision-Making At The Community, LGA, And National Levels. In Spite Of Substantial Investments, The Health Sector In Nigeria Has Made Slow Progress In Improving Its Health Indices. Thus The Nigeria State Health Investment Project(NSHIP), Through Support From WHO, Introduced The Performance-Based Financing –PBF Currently Rolled Out In Three States- Adamawa, Nasarawa, And The Ondo States To Deliver A Result-Based Approach To Improve Quantity And Quality Of Health Services Especially In The Area Of Maternal Health. Health Centers Receive Funds Directly Based On The Number Of Essential Services They Delivered And The Improved Quality Of Care. This Encouraged Health Centers To Focus On Delivering Results, And The New Funds Enabled Them To Improve Their Services. This Study Compared Data Reported Using The NHMIS And Declared Validated On The PBF Declaration Forms In Funding Health Facilities In Nasarawa State For Quarter 1 (Jan.- Mar.)2018 And Quarter 2 (Apr. – June) 2018.

scholarly journals Status of Legislation and Factors affecting Disease Surveillance in Nigeria: A qualitative inquiry

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Olusesan A. Makinde ◽  
Clifford O. Odimegwu
Keyword(s):  
Infectious Disease ◽  
Information System ◽  
National Health ◽  
Management Information System ◽  
Disease Surveillance ◽  
Health Management ◽  
Health Management Information System ◽  
Management Information ◽  
Factors Affecting ◽  
Key Informants

ObjectiveAssess the legal framework establishing disease surveillance in Nigeria and identify major factors affecting the performance of the surveillance system.IntroductionThe outbreak of infectious diseases with a propensity to spread across international boundaries is on an upward rise. Such outbreaks can be devastating with significant associated morbidity and mortality. The recent Ebola Virus Disease outbreak in West Africa which spread to Nigeria is an example.(1) Nigeria like several other African countries implements the Integrated Disease Surveillance and Response (IDSR) system as its method for achieving the International Health Regulations (IHR). Yet, compliance to the IDSR is questioned. This study seeks to investigate the legal instruments in place and the factors affecting performance of the disease surveillance in the country.MethodsThe study reports the first objective of a larger study to investigate compliance to disease surveillance by private health providers.(2) An investigative search of the literature for legal instruments on disease surveillance in Nigeria was carried out. In addition, key informants were identified and interviewed at the national level and in selected states. The six states in the South-West were identified for an in-depth study. The IHR focal person and the National Health Management Information System officer were interviewed at the national level. The state epidemiologists and the state health management information system (HMIS) officers across the six states were interviewed. Each state has only one state epidemiologist and one HMIS officer as such it was a total sample. In all, 14 key informants were interviewed.ResultsSix legal instruments were identified as seen in table 1. The most recent comprehensive legal instrument on infectious disease control in Nigeria is a 2005 policy on IDSR. This is further supported by the National Health Act of 2014. However, the National Health Act is not detailed for infectious disease control. The substantive law which governs infectious diseases in Nigeria, the Quarantine Act was enacted almost a century ago during the colonial era in 1926. None of the states studied has an active law on infectious disease surveillance as noted by key informants. While all states refer to the IDSR policy, none has formally ratified the document. There are two independent overlapping data collection systems on infectious diseases: the IDSR and the National Health Management Information System (NHMIS). Data on malaria, HIV and tuberculosis are among data collected across the two systems. This was identified by key informants as a problem since the data collection forms differed across systems and almost always result in differing statistics. In addition, this duplication causes overburdening of frontline workers expected to fill the parallel data collection tools and results in inefficiency of the system. Funding of the surveillance system was identified to be inadequate with significant reliance on international partners.ConclusionsA review of the national law on disease surveillance to address emerging global health security challenges is necessary. State legislators need to enact or ratify national laws on infectious disease monitoring and control in their states. The duplication across the NHMIS and the IDSR surveillance system requires harmonization to improve efficiency. Government needs to invest more resources in disease surveillance.References. Makinde OA. As Ebola winds down, Lassa Fever reemerges yet again in West Africa. J Infect Dev Ctries [Internet]. 2016 Feb 28;10(02):199–200. Available from: http://www.jidc.org/index.php/journal/article/view/81482. Makinde OA, Odimegwu CO. Disease Surveillance by Private Health Providers in Nigeria: A Research Proposal. Online J Public Health Inform [Internet]. 2016 Mar 24;8(1). Available from: http://ojphi.org/ojs/index.php/ojphi/article/view/6554

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