Evidence map›Paper›PMID 28158573›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

Shared decision-making using personal health record technology: a scoping review at the crossroads.

Selena Davis, Abdul Roudsari, Rebecca Raworth, Karen L Courtney, Lee MacKay

Abstract readScoping Review
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 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, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Decision support strategies for bedside nursing clinical reasoning: A scoping review.International journal of nursing studies advances · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Observational
  15. Review
  16. Article
  17. Article
  18. Article
  19. Advancing biomedical and health informatics knowledge through reviews of existing research.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  20. 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.

Selena DavisSchool of Health Information Science, University of Victoria, Victoria, Canada.
Abdul RoudsariSchool of Health Information Science, University of Victoria, Victoria, Canada.
Rebecca RaworthUniversity of Victoria Libraries, Victoria, Canada.
Karen L CourtneySchool of Health Information Science, University of Victoria, Victoria, Canada.
Lee MacKayKootenay Lake Hospital Diabetes Clinic and Kootenay Boundary Division of Family Practice, Nelson, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis scoping review aims to determine the size and scope of the published literature on shared decision-making (SDM) using personal health record (PHR) technology and to map the literature in terms of system design and outcomes. MATERIALS AND

methodsLiterature from Medline, Google Scholar, Cumulative Index to Nursing and Allied Health Literature, Engineering Village, and Web of Science (2005-2015) using the search terms "personal health records," "shared decision making," "patient-provider communication," "decision aid," and "decision support" was included. Articles ( n  = 38) addressed the efficacy or effectiveness of PHRs for SDM in engaging patients in self-care and decision-making or ways patients can be supported in SDM via PHR.

resultsAnalysis resulted in an integrated SDM-PHR conceptual framework. An increased interest in SDM via PHR is apparent, with 55% of articles published within last 3 years. Sixty percent of the literature originates from the United States. Twenty-six articles address a particular clinical condition, with 10 focused on diabetes, and one-third offer empirical evidence of patient outcomes. The tethered and standalone PHR architectural types were most studied, while the interconnected PHR type was the focus of more recently published methodological approaches and discussion articles. DISCUSSION: The study reveals a scarcity of rigorous research on SDM via PHR. Research has focused on one or a few of the SDM elements and not on the intended complete process.

conclusionJust as PHR technology designed on an interconnected architecture has the potential to facilitate SDM, integrating the SDM process into PHR technology has the potential to drive PHR value.

Indexed as

Decision MakingHealth Records, PersonalPatient ParticipationDecision Support TechniquesElectronic Health RecordsHumansPhysician-Patient RelationsSelf-Managementdecision supportpatient-centered carepersonal health recordsself-managementshared decision-making

Identifiers

PMID28158573
PMCPMC7651971

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.