Evidence map›Paper›PMID 37273368›Full record

ArticleCureus2023

Examining Disparities in Ownership and Use of Digital Health Technology Between Rural and Urban Adults in the US: An Analysis of the 2019 Health Information National Trends Survey.

Emeka Okobi, Aisha O Adigun, Oyintoun-Emi Ozobokeme, Omotola Emmanuel, Precious A Akinsanya, Omolola Okunromade, Okelue E Okobi, Henry O Aiwuyo, Anthony I Dick, Rasheedat A Sadiq-Onilenla and 1 more

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

11 authors.

Emeka OkobiDentistry, Ahmadu Bello University Teaching Hospital Zaria, Abuja, NGA.
Aisha O AdigunDivision of Infectious Diseases, University of Louisville, Louisville, USA.
Oyintoun-Emi OzobokemeMedicine, Central Michigan University College of Medicine, Mount Pleasant, USA.
Omotola EmmanuelClinical Documentation, Emory Hospital, Georgia, USA.
Precious A AkinsanyaOncology, Holy Name Medical Center, Teaneck, USA.
Omolola OkunromadePublic Health/Community Health Behavior & Education, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Greater Savannah Area, USA.
Okelue E OkobiFamily Medicine, Medficient Health Systems, Laurel, USA.
Henry O AiwuyoInternal Medicine, Brookdale University Hospital Medical Center, Brooklyn, USA.
Anthony I DickPublic Health, Chicago State University, Chicago, USA.
Rasheedat A Sadiq-OnilenlaHealth Sciences, Franklin University, Ohio, USA.
Foluke A OgunlanaFamily Medicine/General Practice, National Health Service (NHS) Foundation Trust Derbyshire, Derby, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough research shows that digital health tools (DHT) are increasingly integrated with healthcare in the United States, very few studies have investigated the rural-urban differences in DHT adoption at the national level. Individuals in rural communities experience disproportionately greater rates of chronic diseases and face unique challenges in accessing health care. Studies have shown that digital technology can improve access and support rural health by overcoming geographic barriers to care.

objectiveTo evaluate the rates of ownership and preferences for utilization of DHT as a measure of interest among rural adults compared to their urban counterparts in the United States using a National Inpatient Survey.

methodsData was drawn from the 2019 (n= 5438) iteration of the Health Information National Trends Survey (HINTS 5 cycle 3). Chi-square tests and weighted multivariable logistic regressions were conducted to examine rural-urban differences regarding ownership, usage, and use of digital health tools to interact with health care systems while adjusting for health-related characteristics and sociodemographic factors.

resultsThe ownership rates of digital health technology (DHT) devices, including tablets, smart phones, health apps, and wearable devices, were comparable between rural and urban residents. For tablets, the ownership rates were 54.52% among rural residents and 60.24% among urban residents, with an adjusted odds ratio (OR) of 0.87 (95% confidence interval {CI}: 0.61, 1.24). The ownership rates of health apps were 51.41% and 53.35% among rural and urban residents, respectively, with an adjusted OR of 0.93 (95% CI: 0.62, 1.42). For smartphones, the ownership rates were 81.64% among rural residents and 84.10% among urban residents, with an adjusted OR of 0.81 (95% CI: 0.59, 1.11). Additionally, rural residents were equally likely to use DHT in managing their healthcare needs. Both groups were equally likely to have reported their smart device as helpful in discussions with their healthcare providers (OR 0.90; 95% CI 63 - 1.30; p = 0.572). Similarly, there were similar odds of reporting that DHT had helped them to track progress on a health-related goal (e.g., quitting smoking, losing weight, or increasing physical activity) (OR 1.17; 95% CI 0.75 - 1.83; p = 0.491), and to make medical decisions (OR 1.05; 95% CI 0.70 - 1.59; p = 0.797). However, they had lower rates of internet access and were less likely to use DHT for communicating with their healthcare providers.

conclusionWe found that rural residents are equally likely as urban residents to own and use DHT to manage their health. However, they were less likely to communicate with their health providers using DHT. With increasing use of DHT in healthcare, future research that targets reasons for geographical digital access disparities is warranted.

Indexed as

digital health toolsdisparitiesinformation technologymobile healthrural health

Identifiers

PMID37273368
PMCPMC10233341

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.