Evidence map›Paper›PMID 33350961›Full record

Observational studyJMIR mHealth and uHealth2020

Integrated Digital Patient Education at the Bedside for Patients with Chronic Conditions: Observational Study.

Benjamin Schooley, Akanksha Singh, Neşet Hikmet, Robert Brookshire, Nitin Patel

Abstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline 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

5 authors.

Benjamin Schooley *Health Information Technology Program, College of Engineering and Computing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-6918-9986
Akanksha Singh *Department of Computer Science and Engineering, College of Engineering and Computing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0003-1054-8128
Neşet Hikmet *Health Information Technology Program, College of Engineering and Computing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-0777-3132
Robert Brookshire *Health Information Technology Program, College of Engineering and Computing, University of South Carolina, Columbia, SC, United States.ORCID 0000-0001-5953-8137
Nitin Patel *Department of Medicine, School of Medicine, University of South Carolina, Columbia, SC, United States.ORCID 0000-0002-1360-3404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient education delivered by a health care provider increases patients' understanding and adherence to medical instructions, which helps to improve patient health. Multiple challenges exist to delivering effective patient education to patients with multiple chronic conditions, including giving the necessary time, range, and types of learning materials, and assessing the level of understanding. To help overcome these challenges, it is important to study new electronic means to assist in patient education, such as the use of mobile devices, interactive media, 3-dimensional images, and multimedia educational content at the bedside.

objectiveThe goal of this study was to address the need for blended learning strategies combining technical and workflow integration of digital patient education systems for patients with chronic conditions within and across the regular process of care. Studies are needed to evaluate the utility and benefits of these technologies for providers and patients alike.

methodsA mixed-methods approach was employed including survey administration to 178 patients after they received digital patient education in person with a health care provider, and qualitative interviews with 16 nurse educators who used the mobile digital health education technology to deliver instruction to patients. Patient survey data were analyzed using chi-square statistical tests. Qualitative interviews were analyzed for user acceptance and perceived value themes.

resultsPatients who were counseled using a blended digital health education approach reported improved understanding of educational content (P=.034) and chronic health conditions (P<.001), were more motivated to care for themselves at home (P<.001), were more likely to say that they felt capable of making health care decisions with their doctors (P<.001) and on their own (P=.001), and were more likely to report their intention to follow their doctor's instructions (P<.001) than were patients whose education was not computer-based. Nurse educators felt that the digital education system and content enhanced their education efforts and could be easily integrated into the outpatient clinical workflow.

conclusionsPatient education for individuals with chronic conditions may be more effective than traditional formats when provided in blended digital formats supervised by a health care provider.

Indexed as

Mobile ApplicationsPatient Education as TopicChronic DiseaseDelivery of Health CareEducation, MedicalFemaleHealth PersonnelHumansLearningMaleadherenceblended learningchronic conditiondigital healthdigital patient educationeducationmHealthoutcomepatient educationpatient understandingunderstanding

Identifiers

PMID33350961
PMCPMC7785403

What OpenQuestion holds

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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.