Evidence map›Paper›PMID 25024758›Full record

ArticleApplied clinical informatics2014

Personal health records for patients with chronic disease: a major opportunity.

S Wells, R Rozenblum, A Park, M Dunn, D W Bates

Abstract read
In one paragraph

Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Full Radiology Report through Patient Web Portal: A Literature Review.International journal of environmental research and public health · 2020
    Review
  9. Article
  10. Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.Journal of acquired immune deficiency syndromes (1999) · 2018
    Article
  11. Article
  12. Review
  13. Shared decision-making using personal health record technology: a scoping review at the crossroads.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  14. Article
  15. Acute care patient portals: a qualitative study of stakeholder perspectives on current practices.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Organizational strategies for promoting patient and provider uptake of personal health records.Journal of the American Medical Informatics Association : JAMIA · 2015
    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.

S WellsSection of Epidemiology and Biostatistics, School of Population Health, University of Auckland , Auckland, New Zealand ; Department of General Internal Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts.
R RozenblumDepartment of General Internal Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts.
A ParkDepartment of General Internal Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts.
M DunnDepartment of Health Care Policy and Management, Harvard School of Public Health , Boston, Massachusetts.
D W BatesDepartment of General Internal Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts ; Department of Health Care Policy and Management, Harvard School of Public Health , Boston, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonal health records (PHRs) connected to a physician's electronic health record system hold substantial promise for supporting and engaging patients with chronic disease.

objectivesTo explore how U.S. health care organizations are currently utilizing PHRs for chronic disease populations.

methodsA mixed methods study including semi-structured interviews and a questionnaire was conducted. A purposive sample was developed of health care organizations which were recognized as exemplars for PHRs and were high performers in national patient satisfaction surveys (H-CAHPS or CAHPS). Within each organization, participants were health IT leaders or those managing high-risk or chronic disease populations.

resultsInterviews were conducted with 30 informants and completed questionnaires were received from 16 organizations (84% response rate). Most PHRs allowed patients to access health records and educational material, message their provider, renew prescriptions and request appointments. Patient generated data was increasingly being sought and combined with messaging, resulted in greater understanding of patient health and functioning outside of the clinic visit. However for chronic disease populations, there was little targeted involvement in PHR design and few tools to help interpret and manage their conditions beyond those offered for all. The PHR was largely uncoupled from high risk population management interventions and no clear framework for future PHR development emerged.

conclusionThis technology is currently underutilized and represents a major opportunity given the potential benefits of patient engagement and shared decision making. A coherent patient-centric PHR design and evaluation strategy is required to realize its potential and maximize this natural hub for multidisciplinary care co-ordination.

Indexed as

Chronic DiseaseHealth Records, PersonalComorbidityDelivery of Health CareHumansMonitoring, PhysiologicPhysiciansSurveys and Questionnairesadoptionchronic diseaseelectronic health recordsPersonal health records

Identifiers

PMID25024758
PMCPMC4081745

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.