Evidence map›Paper›PMID 24519102›Full record

ArticleJournal of general internal medicine2014

Rapid growth in use of personal health records in New York, 2012-2013.

Jessica S Ancker, Michael Silver, Rainu Kaushal

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Interventions to increase patient portal use in vulnerable populations: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  2. Personal Health Records: A Systematic Literature Review.Journal of medical Internet research · 2017
    Pooled it
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  15. Strategies for Managing Mobile Devices for Use by Hospitalized Inpatients.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015
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  18. Personal health records: is rapid adoption hindering interoperability?Perspectives in health information managemen · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jessica S AnckerCenter for Healthcare Informatics and Policy, Weill Cornell Medical College, 425 E. 61st St., Suite 301, New York, NY, 10065, USA, jsa7002@med.cornell.edu.
Michael Silver
Rainu Kaushal

Funding

Improving healthcare quality with user-centric patient portalsK01HS021531 · AHRQ · WEILL MEDICAL COLL OF CORNELL UNIV · PI ANCKER, JESSICA S. · 2013 to 2017
$761k
AHRQ HHS K01 HS021531
6 · The paper itself

Abstract

backgroundGiving patients access to their own medical data may help improve communication and engage patients in healthcare. As a result, the federal electronic health record (EHR) incentive program requires providers to offer electronic data sharing with patients via personal health records (PHRs) or other technologies.

objectiveWe sought to estimate the rate of adoption of PHRs over a 2-year period.

designSurvey of 800 respondents (margin of error: 3.5 percentage points) in consecutive years of the Empire State Poll, an annual random-digit-dial telephone survey.

participantsAdult New York State residents. MAIN MEASURES: Self-reported use of a PHR. KEY

resultsThe rate of reported PHR use rose from 11 % in 2012 to 17 % in 2013. The proportion of these PHRs provided by doctors or healthcare organizations also increased sharply (from 50 % in 2012 to 73 % in 2013, p < 0.01) with a corresponding decrease in the proportion provided by insurers.

conclusionsThe proportion of New York State residents using PHRs increased by more than 50 % (from 11 to 17 %) in advance of a federal incentive program requirement that healthcare organizations with EHRs must share electronic data with patients in order to receive their incentives.

Indexed as

Access to InformationHealth Records, PersonalAdultElectronic Health RecordsFemaleHealth Care SurveysHumansMaleMeaningful UseNeeds AssessmentNew YorkPatient Participation

Identifiers

PMID24519102
PMCPMC4026516

What OpenQuestion holds

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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.