Evidence map›Paper›PMID 31663860›Full record

ArticleJournal of medical Internet research2019

Patient Engagement in Medical Research Among Older Adults: Analysis of the Health Information National Trends Survey.

Lynette Hammond Gerido, Xiang Tang, Brittany Ernst, Aisha Langford, Zhe He

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolution of a research team: the patient partner perspective.Research involvement and engagement · 2022
    Article
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.

Lynette Hammond GeridoSchool of Information, Florida State University, Tallahassee, FL, United States.ORCID 0000-0003-2243-6203
Xiang TangDepartment of Statistics, Florida State University, Tallahassee, FL, United States.ORCID 0000-0002-6615-3814
Brittany ErnstCollege of Human Sciences, Florida State University, Tallahassee, FL, United States.ORCID 0000-0003-2723-0693
Aisha LangfordDepartment of Population Health, School of Medicine, New York University, New York, NY, United States.ORCID 0000-0003-1758-691X
Zhe HeSchool of Information, Florida State University, Tallahassee, FL, United States.ORCID 0000-0003-3608-0244

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Systematic Analysis of Clinical Study Generalizability Assessment Methods with InformaticsR21AG061431 · NIA · FLORIDA STATE UNIVERSITY · PI BIAN, JIANG, HE, ZHE · 2019 to 2020
$793k
NCATS NIH HHS UL1 TR001427NIA NIH HHS R21 AG061431
6 · The paper itself

Abstract

backgroundBy 2035, it is expected that older adults (aged 65 years and older) will outnumber children and will represent 78 million people in the US population. As the aging population continues to grow, it is critical to reduce disparities in their representation in medical research.

objectiveThis study aimed to describe sociodemographic characteristics and health and information behaviors as factors that influence US adults' interest in engaging in medical research, beyond participation as study subjects.

methodsNationally representative cross-sectional data from the 2014 Health Information National Trends Survey (N=3677) were analyzed. Descriptive statistics and weighted multivariable logistic regression analyses were performed to assess predictors of one's interest in patient engagement in medical research. The independent variables included age, general health, income, race and ethnicity, education level, insurance status, marital status, and health information behaviors.

resultsWe examined the association between the independent variables and patient interest in engaging in medical research (PTEngage_Interested). Patient interest in engaging in medical research has a statistically significant association with age (adjusted P<.01). Younger adults (aged 18-34 years), lower middle-aged adults (aged 35-49 years), and higher middle-aged adults (aged 50-64 years) indicated interest at relatively the same frequency (29.08%, 29.56%, and 25.12%, respectively), but older adults (aged ≥65 years) expressed less interest (17.10%) than the other age groups. After the multivariate model was run, older adults (odds ratio 0.738, 95% CI 0.500-1.088) were found to be significantly less likely to be interested in engaging in medical research than adults aged 50 to 64 years. Regardless of age, the strongest correlation was found between interest in engaging in medical research and actively looking for health information (P<.001). Respondents who did not seek health information were significantly less likely than those who did seek health information to be interested in engaging in medical research.

conclusionsPatients' interest in engaging in medical research vary by age and information-seeking behaviors. As the aging population continues to grow, it is critical to reduce disparities in their representation in medical research. Interest in participatory research methods may reflect an opportunity for consumer health informatics technologies to improve the representation of older adults in future medical research.

Indexed as

Information Seeking BehaviorAdolescentAdultAgedBiomedical ResearchCross-Sectional StudiesFemaleHealth BehaviorHumansMaleMiddle AgedPatient ParticipationSurveys and QuestionnairesUnited StatesYoung Adultaginghealth care disparitiesmedical informaticspatient participation

Identifiers

PMID31663860
PMCPMC6914241

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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.