Evidence map›Paper›PMID 34715863›Full record

ArticleBMC medical informatics and decision making2021

Factors of quality of care and their association with smartphone based PHR adoption in South Korean hospitals.

Byung Kwan Choi, Young-Taek Park, Hyeoun-Ae Park, Chris Lane, Emmanuel C Jo, Sunghong Kang

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 11 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

6 authors at 6 institutions in 2 countries.

Byung Kwan ChoiDepartment of Neurosurgery, School of Medicine, Pusan National University, 2 Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan, 46241, Republic of Korea.ORCID 0000-0001-5244-4592
Young-Taek ParkHIRA Research Institute, Health Insurance Review and Assessment Service (HIRA), 60 Hyeoksin-ro, HIRA building 9th floor, Wonju-si, Gangwon-do, 26465, Republic of Korea. youngtaek.park@gmail.com.ORCID 0000-0002-7574-4165
Hyeoun-Ae ParkCollege of Nursing, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.ORCID 0000-0002-3770-4998
Chris LaneAnalytics and Intelligence, Health Workforce, New Zealand Ministry of Health, 133 Molesworth St, Thorndon, Wellington, 6011, New Zealand.ORCID 0000-0003-3953-4619
Emmanuel C JoSchool of Medicine, University of Auckland, 85 Park road, Grafton, Auckland, 1023, New Zealand.ORCID 0000-0002-3166-6468
Sunghong KangDepartment of Health Policy and Management, Inje University, 197 Inje-ro, Gimhae-si, Gyeongsangnam-do, 50834, Republic of Korea.ORCID 0000-0001-7968-2048
Health Insurance Review and Assessment Service · KRInje University · KRMinistry of Health · NZPusan National University · KRSeoul National University · KRUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealthcare organizations have begun to adopt personal health records (PHR) systems to engage patients, but little is known about factors associated with the adoption of PHR systems at an organizational level. The objective of this study is to investigate factors associated with healthcare organizations' adoption of PHR systems in South Korea.

methodsThe units of analysis were hospitals with more than 100 beds. Study data of 313 hospitals were collected from May 1 to June 30, 2020. The PHR adoption status for each hospital was collected from PHR vendors and online searches. Adoption was then confirmed by downloading the hospital's PHR app and the PHR app was examined to ascertain its available functions. One major outcome variable was PHR adoption status at hospital level. Data were analysed by logistic regressions using SAS 9.4 version.

resultsOut of 313 hospitals, 103 (32.9%) hospitals adopted PHR systems. The nurse-patient ratio was significantly associated with PHR adoption (OR 0.758; 0.624 to 0.920, p = 0.005). The number of health information management staff was associated with PHR adoption (OR 1.622; 1.228 to 2.141, p = 0.001). The number of CTs was positively associated with PHR adoption (OR 5.346; 1.962 to 14.568, p = 0.001). Among the hospital characteristics, the number of beds was significantly related with PHR adoption in the model of standard of nursing care (OR 1.003; 1.001 to 1.005, p < 0.001), HIM staff (OR 1.004; 1.002 to 1.006, p < 0.001), and technological infrastructure (OR 1.050; 1.003 to 1.006, p < 0.001).

conclusionsOne-third of study hospitals had adopted PHR systems. Standard of nursing care as well as information technology infrastructure in terms of human resources for health information management and advanced technologies were significantly associated with adoption of PHR systems. A favourable environment for adopting new technologies in general may be associated with the adoption and use of PHR systems.

Indexed as

Health Records, PersonalSmartphoneElectronic Health RecordsHospitalsHumansRepublic of KoreaElectronic health recordsElectronic medical recordsInformation systemsPersonal health recordsQuality of care

Identifiers

PMID34715863
PMCPMC8555279
OpenAlexW3210448095

What OpenQuestion holds

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LicenceCC BY
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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.