Evidence map›Paper›PMID 31277895›Full record

SynthesisNursing outlook

Patient generated health data use in clinical practice: A systematic review.

George Demiris, Sarah J Iribarren, Katherine Sward, Solim Lee, Rumei Yang

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Nursing outlook. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 2 pooled it
23.9field-weighted citation impact, top 1% of its field
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

56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 117 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Review on Visualizations for Self-Generated Health Data for Daily Activities.International journal of environmental research and public health · 2022
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Real-World Evaluation of an EHR-Enabled Chronic Obstructive Pulmonary Disease Assessment Test.International journal of chronic obstructive pulmonary disease · 2025
    Observational
  17. Article
  18. Article
  19. 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 at 3 institutions in 1 country.

George DemirisSchool of Nursing, University of Pennsylvania, Philadelphia, PA. Electronic address: gdemiris@nursing.upenn.edu.
Sarah J IribarrenSchool of Nursing, University of Washington, Seattle, WA.
Katherine SwardCollege of Nursing, University of Utah, Salt Lake City, UT.
Solim LeeSchool of Nursing, University of Pennsylvania, Philadelphia, PA.
Rumei YangCollege of Nursing, University of Utah, Salt Lake City, UT.
University of Pennsylvania · USUniversity of Utah · USUniversity of Washington · US

Funding

Development and Evaluation of an Interactive Mobile Health Intervention to Support Patients with Active TuberculosisK23NR017210 · NINR · UNIVERSITY OF WASHINGTON · PI IRIBARREN, SARAH JO HANNAH · 2017 to 2019
$437k
NINR NIH HHS K23 NR017210
6 · The paper itself

Abstract

backgroundPrecision health calls for collecting and analyzing large amounts of data to capture an individual's unique behavior, lifestyle, genetics, and environmental context. The diffusion of digital tools has led to a significant growth of patient generated health data (PGHD), defined as health-related data created, gathered or inferred by or from patients and for which the patient controls data collection and data sharing. PURPOSE: We assessed the current evidence of the impact of PGHD use in clinical practice and provide recommendations for the formal integration of PGHD in clinical care.

methodsWe searched PubMed, Ovid, Embase, CINAHL, Web of Science, and Scopus up to May 2018. Inclusion criteria were applied and four reviewers screened titles and abstracts and consequently full articles.

findingsOur systematic literature review identified 21 studies that examined the use of PGHD in clinical settings. Integration of PGHD into electronic records was extremely limited, and decision support capabilities were for the most part basic. DISCUSSION: PGHD and other types of patient-reported data will be part of the health care system narrative and we must continue efforts to understand its impact on health outcomes, costs, and patient satisfaction. Nursing scientists need to lead the process of defining the role of PGHD in the era of precision health.

Indexed as

Guidelines as TopicHealth Records, PersonalAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPatient-Centered CarePatient Generated Health DataPrecision Medicinepatient centered technologiespatient generated dataprecision medicinewearables

Identifiers

PMID31277895
PMCPMC6697140
OpenAlexW2941663933

What OpenQuestion holds

Textmetadata
LicenceTDM
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.