Evidence map›Paper›PMID 32286657›Full record

ArticleJAMA network open2020

Factors Associated With Increased Collection of Patient-Reported Outcomes Within a Large Health Care System.

Rachel C Sisodia, Christian Dankers, John Orav, Bernard Joseph, Peter Meyers, Patrick Wright, David St Amand, Marcela Del Carmen, Tim Ferris, Marilyn Heng and 3 more

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
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  15. Comparing patient-reported symptoms and structured clinician documentation in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2025
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  16. Adherence to daily electronic symptom screening in pediatric cancer: associations with time, location and pain.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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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

13 authors.

Rachel C SisodiaPartners Healthcare, Somerville, Massachusetts.
Christian DankersPartners Healthcare, Somerville, Massachusetts.
John OravHarvard Medical School, Boston, Massachusetts.
Bernard JosephPartners Healthcare, Somerville, Massachusetts.
Peter MeyersPartners Healthcare, Somerville, Massachusetts.
Patrick WrightPartners Healthcare, Somerville, Massachusetts.
David St AmandPartners Healthcare, Somerville, Massachusetts.
Marcela Del CarmenMassachusetts General Hospital, Boston.
Tim FerrisMassachusetts General Hospital, Boston.
Marilyn HengMassachusetts General Hospital, Boston.
Adam LicurseHarvard Medical School, Boston, Massachusetts.
Gregg MeyerMassachusetts General Hospital, Boston.
Thomas D SequistPartners Healthcare, Somerville, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The collection of patient-reported outcomes (PROs) has garnered intense interest, but dissemination of PRO programs has been limited, as have analyses of the factors associated with successful programs. Objective: To identify factors associated with improving PRO collection rates within a large health care system using a centralized PRO infrastructure. Design, Setting, and Participants: This cohort study included 205 medical and surgical clinics in the Partners Healthcare system in Massachusetts that implemented a PRO program between March 15, 2014, and December 31, 2018, using a standardized centralized infrastructure. Data were analyzed from March to April 2019. Exposures: Relevant clinical characteristics were recorded for each clinic launching a PRO program. Main Outcomes and Measures: The primary outcome was the mean PRO collection rate during each clinic's most recent 6 months of collection prior to January 2019. Data were analyzed using a linear regression model with the 6-month PRO collection rate as the dependent variable and clinic characteristics as independent variables. Secondary analysis used a logistic regression model to assess clinical factors associated with successful clinics, defined as those that collected PROs at a rate greater than 50%. Results: Between March 2014 and December 2018, 205 Partners Healthcare clinics were available for analysis, and 4 061 205 PRO measures from 745 028 encounters were collected. Among these, 103 clinics (50.2%) collected at a rate greater than 50%. Increased collection rates were associated with more than 50% of physicians in a clinic trained on PROs (change, 19.6% [95% CI, 9.9%-29.4%]; P < .001), routine administrative oversight of collection rates (change, 16.0% [95% CI, 6.6%-25.5%]; P = .001), previous collection of PROs on paper (change, 12.5% [95% CI, 4.7%-20.3%]; P = .002), presence of a clinical champion (change, 11.2% [95% CI, 2.5%-20.0%]; P = .01) and payer incentive (change, 10.5% [95% CI, 2.0%-18.9%]; P = .02). Conclusions and Relevance: These findings suggest that training physicians on the use of PROs, administrative surveillance of collection rates, and the presence of a local clinical champion may be promising interventions for increasing PRO collection. Clinics that have previously collected PROs may have greater success in increasing collections. Payer incentive for collection was associated with improved collections, but not associated with successful programs.

Indexed as

Patient Reported Outcome MeasuresAdultAgedAged, 80 and overCohort StudiesData CollectionDelivery of Health CareFemaleHumansMaleMassachusettsMiddle AgedSurveys and Questionnaires

Identifiers

PMID32286657
PMCPMC7156989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.