Evidence map›Paper›PMID 32478658›Full record

ArticleJournal of medical Internet research2020

Impact of Age on Patients' Communication and Technology Preferences in the Era of Meaningful Use: Mixed Methods Study.

Martina A Clarke, Ann L Fruhling, Marilyn Sitorius, Thomas A Windle, Tamara L Bernard, John R Windle

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Virtual care in patients with type 2 diabetes during covid-19Revista medica del Instituto Mexicano del Seguro Social · 2024
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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.

Martina A ClarkeDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0002-4905-4566
Ann L FruhlingSchool of Interdisciplinary Informatics, College of Information Science and Technology, University of Nebraska Omaha, Omaha, NE, United States.ORCID 0000-0001-9481-3069
Marilyn SitoriusCollege of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0003-4915-1013
Thomas A WindleDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0002-3784-427X
Tamara L BernardDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0001-8304-0064
John R WindleDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States.ORCID 0000-0001-7654-3798

Funding

Optimizing the Electronic Health Record for Cardiac CareR01HS022110 · AHRQ · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI WINDLE, JOHN R · 2014 to 2014
$2.4M
AHRQ HHS R01 HS022110
6 · The paper itself

Abstract

backgroundIdentifying effective means of communication between patients and their health care providers has a positive impact on patients' satisfaction, adherence, and health-related outcomes.

objectiveThis study aimed to identify the impact of patients' age on their communication and technology preferences when managing their health. We hypothesize that a patient's age affects their communication and technology preferences when interacting with clinicians and managing their health.

methodsA mixed methods study was conducted to identify the preferences of patients with cardiovascular diseases. Results were analyzed based on the patients' age. Grounded theory was used to analyze the qualitative data. Patients were recruited based on age, gender, ethnicity, and zip code.

resultsA total of 104 patients were recruited: 34 young adults (19-39 years), 33 middle aged (40-64), and 37 senior citizens (>65). Young adults (mean 8.29, SD 1.66) reported higher computer self-efficacy than middle-aged participants (mean 5.56, SD 3.43; P<.05) and senior citizens (mean 47.55, SD 31.23; P<.05). Qualitative analysis identified the following three themes: (1) patient engagement (young adults favored mobile technologies and text messaging, middle-aged patients preferred phone calls, and senior citizens preferred direct interactions with the health care provider); (2) patient safety (young adults preferred electronic after-visit summaries [AVS] and medication reconciliation over the internet; middle-aged patients preferred paper-based or emailed AVS and medication reconciliation in person; senior citizens preferred paper-based summaries and in-person medication reconciliation); (3) technology (young adults preferred smartphones and middle-aged patients and senior citizens preferred tablets or PCs). Middle-aged patients were more concerned about computer security than any other group. A unique finding among senior citizens was the desire for caregivers to have access to their personal health record (PHR).

conclusionsPatients of different ages have different communication and technology preferences and different preferences with respect to how they would like information presented to them and how they wish to interact with their provider. The PHR is one approach to improving patient engagement, but nontechnological options need to be sustained to support all patients.

Indexed as

AdultAgedAge FactorsCommunicationFemaleHumansMaleMeaningful UseMiddle AgedYoung Adultage groupscommunicationdata displayneeds assessmentpatientspersonal health record

Identifiers

PMID32478658
PMCPMC7296425

What Socratic 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 Socratic graph.