Evidence map›Paper›PMID 26993473›Full record

ArticleGlobal health action2016

The application of a biometric identification technique for linking community and hospital data in rural Ghana.

Eliezer Ofori Odei-Lartey, Dennis Boateng, Samuel Danso, Anthony Kwarteng, Livesy Abokyi, Seeba Amenga-Etego, Stephaney Gyaase, Kwaku Poku Asante, Seth Owusu-Agyei

Open access · goldAbstract read
In one paragraph

Article in Global health action, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Eliezer Ofori Odei-LarteyKintampo Health Research Centre, Kintampo, Ghana; eliezer.lartey@kintampo-hrc.org; elelart@gmail.com.
Dennis BoatengKintampo Health Research Centre, Kintampo, Ghana.
Samuel DansoKintampo Health Research Centre, Kintampo, Ghana.
Anthony KwartengKintampo Health Research Centre, Kintampo, Ghana.
Livesy AbokyiKintampo Health Research Centre, Kintampo, Ghana.
Seeba Amenga-EtegoKintampo Health Research Centre, Kintampo, Ghana.
Stephaney GyaaseKintampo Health Research Centre, Kintampo, Ghana.
Kwaku Poku AsanteKintampo Health Research Centre, Kintampo, Ghana.
Seth Owusu-AgyeiKintampo Health Research Centre, Kintampo, Ghana.
Kintampo Health Research Centre · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe reliability of counts for estimating population dynamics and disease burdens in communities depends on the availability of a common unique identifier for matching general population data with health facility data. Biometric data has been explored as a feasible common identifier between the health data and sociocultural data of resident members in rural communities within the Kintampo Health and Demographic Surveillance System located in the central part of Ghana.

objectiveOur goal was to assess the feasibility of using fingerprint identification to link community data and hospital data in a rural African setting.

designA combination of biometrics and other personal identification techniques were used to identify individual's resident within a surveillance population seeking care in two district hospitals. Visits from resident individuals were successfully recorded and categorized by the success of the techniques applied during identification. The successes of visits that involved identification by fingerprint were further examined by age.

resultsA total of 27,662 hospital visits were linked to resident individuals. Over 85% of those visits were successfully identified using at least one identification method. Over 65% were successfully identified and linked using their fingerprints. Supervisory support from the hospital administration was critical in integrating this identification system into its routine activities. No concerns were expressed by community members about the fingerprint registration and identification processes.

conclusionsFingerprint identification should be combined with other methods to be feasible in identifying community members in African rural settings. This can be enhanced in communities with some basic Demographic Surveillance System or census information.

Indexed as

Community Health ServicesDermatoglyphicsHospital AdministrationBiometric IdentificationDelivery of Health CareElectronic Health RecordsGhanaHumansInformation Storage and RetrievalPopulation SurveillanceReproducibility of ResultsRural Health Servicesbiometricsdatabasedata-linkageelectronicfingerprintidentificationtechniques

Identifiers

PMID26993473
PMCPMC4799390
OpenAlexW2298611237

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.