Evidence map›Paper›PMID 31413986›Full record

ArticleJournal of patient-centered research and reviews2017

Patient-Centered Outcomes Measurement: Does It Require Information From Patients?

Leif I Solberg, Stephen E Asche, John Butler, David Carrell, Christine K Norton, Jeffrey G Jarvik, Rebecca Smith-Bindman, Juliana O Tillema, Robin R Whitebird, Ann M Werner and 1 more

Abstract read
In one paragraph

Article in Journal of patient-centered research and reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. What Outcomes Matter to Patients After Joint or Spine Surgery?Journal of patient-centered research and reviews · 2020
    Article
  4. The Path to Health Equity Through Multidisciplinary Collaboration.Journal of patient-centered research and reviews · 2017
    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

11 authors.

Leif I SolbergHealthPartners Institute for Education and Research, Minneapolis, MN.
Stephen E AscheHealthPartners Institute for Education and Research, Minneapolis, MN.
John ButlerHealthPartners Medical Group, Minneapolis, MN.
David CarrellGroup Health Research Institute, Seattle, WA.
Christine K NortonNo affiliation (patient researcher).
Jeffrey G JarvikUniversity of Washington, Seattle, WA.
Rebecca Smith-BindmanUniversity of California, San Francisco, San Francisco, CA.
Juliana O TillemaHealthPartners Institute for Education and Research, Minneapolis, MN.
Robin R WhitebirdUniversity of St. Thomas, St. Paul, MN.
Ann M WernerHealthPartners Institute for Education and Research, Minneapolis, MN.
Jeanette Y ZiegenfussHealthPartners Institute for Education and Research, Minneapolis, MN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSince collecting outcome measure data from patients can be expensive, time-consuming, and subject to memory and nonresponse bias, we sought to learn whether outcomes important to patients can be obtained from data in the electronic health record (EHR) or health insurance claims.

methodsWe previously identified 21 outcomes rated important by patients who had advanced imaging tests for back or abdominal pain. Telephone surveys about experiencing those outcomes 1 year after their test from 321 people consenting to use of their medical record and claims data were compared with audits of the participants' EHR progress notes over the time period between the imaging test and survey completion. We also compared survey data with algorithmically extracted data from claims files for outcomes for which data might be available from that source.

resultsOf the 16 outcomes for which patients' survey responses were considered to be the best information source, only 2 outcomes for back pain and 3 for abdominal pain had kappa scores above a very modest level of ≥ 0.2 for chart audit of EHR data and none for algorithmically obtained EHR/claims data. Of the other 5 outcomes for which claims data were considered to be the best information source, only 2 outcomes from patient surveys and 3 outcomes from chart audits had kappa scores ≥ 0.2.

conclusionsFor the types of outcomes studied here, medical record or claims data do not provide an adequate source of information except for a few outcomes where patient reports may be less accurate.

Indexed as

electronic health recordspatient-centered carepatient-reported outcomes

Identifiers

PMID31413986
PMCPMC6664353

What OpenQuestion holds

Textmetadata
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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.