Evidence map›Paper›PMID 25422720›Full record

ArticleOnline journal of public health informatics2014

Development of a master health facility list in Nigeria.

Authors, Olusesan Ayodeji Makinde, Aderemi Azeez, Samson Bamidele, Akin Oyemakinde, Kolawole Azeez Oyediran, Wura Adebayo, Bolaji Fapohunda, Abimbola Abioye, Stephanie Mullen

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  16. North-South Divide in the Distribution of Medical Schools in Nigeria: A Tale of Internal Inequity.Nigerian medical journal : journal of the Nigeria Medical Association
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Authors
Olusesan Ayodeji MakindeMEASURE Evaluation/ John Snow Inc., 90 Nelson Mandela Street, Asokoro, Abuja Nigeria.
Aderemi AzeezFederal Ministry of Health, Federal Secretariat Complex, Shehu Shagari Way, Abuja, Nigeria .
Samson BamideleMEASURE Evaluation/ John Snow Inc., 90 Nelson Mandela Street, Asokoro, Abuja Nigeria.
Akin OyemakindeFederal Ministry of Health, Federal Secretariat Complex, Shehu Shagari Way, Abuja, Nigeria .
Kolawole Azeez OyediranMEASURE Evaluation/ John Snow Inc. 1616 N Fort Myer Dr, Arlington, VA, United States 22209.
Wura AdebayoFederal Ministry of Health, Federal Secretariat Complex, Shehu Shagari Way, Abuja, Nigeria .
Bolaji FapohundaMEASURE Evaluation/ John Snow Inc. 1616 N Fort Myer Dr, Arlington, VA, United States 22209.
Abimbola AbioyeFederal Ministry of Health, Federal Secretariat Complex, Shehu Shagari Way, Abuja, Nigeria .
Stephanie MullenMEASURE Evaluation/ John Snow Inc. 1616 N Fort Myer Dr, Arlington, VA, United States 22209.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledAbstract.

introductionRoutine 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.

methodsThe 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.

resultsThe 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.

conclusionDevelopment 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.

Indexed as

Health FacilitiesHealth Information SystemsMaster Facility ListRegistriesStandardsUnique Identifiers

Identifiers

PMID25422720
PMCPMC4235326

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.