Improving Access to Malaria Rapid Diagnostic Test in Niger State Nigeria: An Assessment of Implementation Up to 2013

Awoleye, Olatunji Joshua; Thron, Christopher

doi:10.2139/ssrn.2644700

Cited by 3 publications

(5 citation statements)

References 32 publications

(8 reference statements)

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“…To reduce the malaria burden, the World Health Organization (WHO) recommends use of artemisinin combination therapy (ACT), for uncomplicated malaria that is confirmed with either microscopy or rapid diagnostic test (RDT), in a bid to reduce the misuse of ACT. 5 , 6 The Nigerian government adopted the WHO guidelines on the use of ACTs for the treatment of uncomplicated malaria in 2005. 7 Unavailability and inaccessibility of healthcare facilities especially in rural areas in Nigeria is a limitation to provision of appropriate and effective malaria treatment services.…”

Section: Introductionmentioning

confidence: 99%

Malaria Knowledge and Treatment Practices in Enugu State, Nigeria: A Qualitative Study

Uzochukwu

Ossai

Okeke

et al. 2018

Int J Health Policy Manag

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Background: Malaria accounts for 60% of outpatient visits in Nigeria. The aim of the study was to assess the knowledge of malaria and its treatment practices in Enugu state, Nigeria. Methods: Qualitative data was collected through the use of focus group discussions (FGDs), from six villages three each from urban and rural areas of Enugu state, Nigeria. A total of 18 FGDs involving 189 participants were conducted and data on place of treatment for malaria and drug of choice for malaria treatment were collected. Results: Most discussants had a good knowledge of the signs and symptoms of malaria. They reported late for treatment when they had symptoms suggestive of malaria. Treatment timing was affected by financial capability and perceived severity of disease. There was preference for patent medicine dealers (PMDs) and pharmacies for malaria treatment. The reasons included drug affordability, obtaining preferred drug, short waiting time and polite treatment from the providers. Treatment in most cases was without proper malaria diagnosis. Cost was an important factor in determining the drug of choice for malaria treatment. This could explain why people were not aware of the use of artemisininbased combination therapy while preferring mono-therapies and herbal drugs. Public hospitals were considered as good sources of treatment for malaria although they remain the last resort when treatment from these drug outlets failed. Conclusion: The community members preferred PMDs and pharmacies for malaria treatment. Unfortunately, these drug outlets do not encourage the use of artemisinin combination therapy (ACT). This makes it necessary that pharmacists and PMDs are trained on management of malaria. Also, improving the knowledge of the public on the need for malaria diagnosis before treatment and use of artemisinin-based combination therapy will improve the control of malaria. The populace should be instructed to seek treatment early while also discouraging the use of herbal drugs for malaria treatment. There is also the need to improve service delivery at public health facilities.

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Section: Introductionmentioning

confidence: 99%

Malaria Knowledge and Treatment Practices in Enugu State, Nigeria: A Qualitative Study

Uzochukwu

Ossai

Okeke

et al. 2018

Int J Health Policy Manag

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“…Review of all 316 abstracts showed that 53 did not focus on data quality or data use barriers pertaining to RHIS or HMIS. These publications were focused on vertical disease programs, including estimation of malaria incidence; access to malaria rapid diagnostic tests; health systems research; maternal death reviews; and different aspects of malaria, maternal health, uptake of mental health services, and health worker performance …”

Section: Resultsmentioning

confidence: 99%

Research gaps in routine health information system design barriers to data quality and use in low‐ and middle‐income countries: A literature review

Kumar

Gotz

Nutley

et al. 2017

Health Planning & Management

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Despite the potential impact of health information system (HIS) design barriers on health data quality and use and, ultimately, health outcomes in low- and middle-income countries (LMICs), no comprehensive literature review has been conducted to study them in this context. We therefore conducted a formal literature review to understand system design barriers to data quality and use in LMICs and to identify any major research gaps related understanding how system design affects data use. We conducted an electronic search across 4 scientific databases-PubMed, Web of Science, Embase, and Global Health-and consulted a data use expert. Following a systematic inclusion and exclusion process, 316 publications (316 abstracts and 18 full papers) were included in the review. We found a paucity of scientific publications that explicitly describe system design factors that hamper data quality or data use for decision making. Although user involvement, work flow, human-computer interactions, and user experience are critical aspects of system design, our findings suggest that these issues are not discussed or conceptualized in the literature. Findings also showed that individual training efforts focus primarily on imparting data analysis skills. The adverse impact of HIS design barriers on data integrity and health system performance may be even bigger in LMICs than elsewhere, leading to errors in population health management and clinical care. We argue for integrating systems thinking into HIS strengthening efforts to reduce the HIS design-user reality gap.

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“…Through nationwide health care reforms, malaria treatment in public facilities has been subsidized since 2010 . In August 2010‐March 2016, with assistance from international donors, the Niger State government was able to adopt the WHO's guidelines for malaria control, and implement a program of antimalarial interventions, providing free antimalarial services and commodities at selected health facilities.…”

Section: Methodsmentioning

confidence: 99%

“…In resource‐poor settings, several barriers exist. Examples include stock outages of antimalarial commodities, prohibitively costly distance to the nearest provider, the relative shortage of health personnel in malaria control, and social insensitivities in the delivery of antimalarial services . One of the most important barriers remains financial; poorer households are unable to obtain antimalarial services, despite their availability, physical accessibility, and social acceptability.…”

Section: Introductionmentioning

confidence: 99%

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Effectiveness of antimalarial interventions in Nigeria: Evidence from facility‐level longitudinal data

Witvorapong

Yakubu²

2019

Health Services Research

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Objective To evaluate the effectiveness of a program of antimalarial interventions implemented in 2010‐2013 in Niger State, Nigeria. Data Sources Utilization reports from 99 intervention and 51 non‐intervention health facilities from the Niger State Malaria Elimination Program, supplemented by data on facility‐level characteristics from the Niger State Primary Health Care Development Agency and Local Government Malaria Control units. Study Design Estimated with mixed‐effects negative binomial modeling, a difference‐in‐differences method was used to quantify the impact of the program on the number of febrile illness cases and confirmed malaria cases. Potential confounding factors, non‐stationarity, seasonality, and autocorrelation were explicitly accounted for. Data Extraction Methods Data were retrieved from hard copies of utilization reports and manually inputted to create a panel of 5550 facility‐month observations. Principal Findings The program was implemented in two phases. The first phase (August 2010‐June 2012) involved the provision of free artemisinin‐based combination therapies, long‐lasting insecticidal nets, and intermittent preventive treatments. In the second phase (July 2012‐March 2013), the program introduced an additional intervention: free parasite‐based rapid diagnostic tests. Compared to the pre‐intervention period, the average number of monthly febrile illness and malaria cases increased by 20.876 (P < 0.01) and 22.835 (P < 0.01) in the first phase, and by 19.007 (P < 0.05) and 19.681 (P < 0.05) in the second phase, respectively. The results are consistent across different evaluation methods. Conclusions This study suggests that user‐fee removal leads to increased utilization of antimalarial services. It motivates future studies to cautiously select their investigative methods.

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Improving Access to Malaria Rapid Diagnostic Test in Niger State Nigeria: An Assessment of Implementation Up to 2013

Cited by 3 publications

References 32 publications

Malaria Knowledge and Treatment Practices in Enugu State, Nigeria: A Qualitative Study

Malaria Knowledge and Treatment Practices in Enugu State, Nigeria: A Qualitative Study

Research gaps in routine health information system design barriers to data quality and use in low‐ and middle‐income countries: A literature review

Effectiveness of antimalarial interventions in Nigeria: Evidence from facility‐level longitudinal data

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