Evidence map›Paper›PMID 34201107›Full record

ArticleInternational journal of environmental research and public health2021

Barriers to the Digitization of Health Information: A Qualitative and Quantitative Study in Kenya and Lao PDR Using a Cloud-Based Maternal and Child Registration System.

Tarek Numair, Daniel Toshio Harrell, Nguyen Tien Huy, Futoshi Nishimoto, Yvonne Muthiani, Samson Muuo Nzou, Angkhana Lasaphonh, Khomsonerasinh Palama, Tiengkham Pongvongsa, Kazuhiko Moji and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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  8. Digital Transformation in Healthcare: Technology Acceptance and Its Applications.International journal of environmental research and public health · 2023
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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

12 authors at 3 institutions in 4 countries.

Tarek NumairGraduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8523, Japan.ORCID 0000-0001-5735-5134
Daniel Toshio HarrellDepartment of Ecoepidemiology, Institute of Tropical Medicine, Nagasaki University, Nagasaki 852-8523, Japan.ORCID 0000-0002-5085-1183
Nguyen Tien HuySchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8523, Japan.ORCID 0000-0002-9543-9440
Futoshi NishimotoSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8523, Japan.
Yvonne MuthianiNairobi Research Station, Nagasaki University-Institute of Tropical Medicine-Kenya Medical Research Institute (NUITM-KEMRI) Project, Nairobi 19993-00202, Kenya.ORCID 0000-0002-0720-7747
Samson Muuo NzouNairobi Research Station, Nagasaki University-Institute of Tropical Medicine-Kenya Medical Research Institute (NUITM-KEMRI) Project, Nairobi 19993-00202, Kenya.ORCID 0000-0002-5789-4434
Angkhana LasaphonhSavannakhet Provincial Health Department, Savannakhet 13000, Laos.
Khomsonerasinh PalamaSavannakhet Provincial Health Department, Savannakhet 13000, Laos.
Tiengkham PongvongsaSavannakhet Provincial Health Department, Savannakhet 13000, Laos.
Kazuhiko MojiSchool of Tropical Medicine and Global Health, Nagasaki University, Nagasaki 852-8523, Japan.
Kenji HirayamaDepartment of Immunogenetics, Institute of Tropical Medicine, Nagasaki University, Nagasaki 852-8523, Japan.
Satoshi KanekoGraduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8523, Japan.ORCID 0000-0001-9464-0911
Nagasaki University · JPKenya Medical Research Institute · KETampere University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digitalization of health information can assist patient information management and improve health services even in low middle-income countries. We have implemented a mother and child health registration system in the study areas of Kenya and Lao PDR to evaluate barriers to digitalization. We conducted in-depth interviews with 20 healthcare workers (HCWs) who used the system and analyzed it qualitatively with thematic framework analysis. Quantitatively, we analyzed the quality of recorded data according to missing information by the logistic regression analysis. The qualitative analysis identified six themes related to digitalization: satisfaction with the system, mothers' resistance, need for training, double work, working environment, and other resources. The quantitative analysis showed that data entry errors improved around 10% to 80% based on odds ratios in subsequent quarters compared to first quarter periods. The number of registration numbers was not significantly related to the data quality, but the motivation, including financial incentives among HCWs, was related to the registration behavior. Considering both analysis results, workload and motivation to maintain high performance were significant obstacles to implementing a digital health system. We recommend enhancing the scope and focus on human needs and satisfaction as a significant factor for digital system durability and sustainability.

Indexed as

Cloud ComputingMothersChildFemaleHumansKenyaLaosQualitative Researchantenatal carecloud-based systemhealth record digitalizationmother and child healthpostnatal care

Identifiers

PMID34201107
PMCPMC8228682
OpenAlexW3169748204

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.