Evidence map›Paper›PMID 31905066›Full record

ArticleHealth affairs (Project Hope)2020

The Impact Of Decision Aids On Adults Considering Hip Or Knee Surgery.

Vanessa B Hurley, Hector P Rodriguez, Stephen Kearing, Yue Wang, Ming D Leung, Stephen M Shortell

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors at 6 institutions in 4 countries.

Vanessa B HurleyVanessa B. Hurley ( vh151@georgetown. edu ) is an assistant professor of Health Systems Administration at the Georgetown University School of Nursing and Health Studies, in Washington, D.C.
Hector P RodriguezHector P. Rodriguez is the Henry J. Kaiser Professor of Health Policy and Management and codirector of the Center for Healthcare Organizational and Innovation Research, both at the University of California (UC) Berkeley School of Public Health.
Stephen KearingStephen Kearing is a Reporting and Analytics programmer at the High Value Healthcare Collaborative, in Hanover, New Hampshire.
Yue WangYue Wang is a data analyst in the Center for Healthcare Organizational and Innovation Research, UC Berkeley School of Public Health.
Ming D LeungMing D. Leung is an associate professor of organization and management at the UC Irvine Paul Merage School of Business.
Stephen M ShortellStephen M. Shortell is the Blue Cross of California Distinguished Professor Emeritus of Health Policy and Management, a professor of organization behavior at the School of Public Health and Professor of the Graduate School, codirector of the Center for Healthcare Organizational and Innovation Research, and dean emeritus at the School of Public Health, all at UC Berkeley.
Cheung Kong Graduate School of Business · CNCollaborative Group (United States) · USDepartment of Health · IEGeorgetown University · USKaiser Family Foundation · USScientific Research Institute of Healthcare Organization and Medical Management · RU

Funding

PA-20-072: Accelerating the Use of Evidence-based Innovation in Healthcare SystemsU19HS024075 · AHRQ · DARTMOUTH COLLEGE · PI MEARA, ELLEN R. · 2015 to 2021
$19.8M
AHRQ HHS U19 HS024075
6 · The paper itself

Abstract

Trials of decision aids developed for use in shared decision making find that patients engaged in that process tend to choose more conservative treatment for preference-sensitive conditions. Shared decision making is a collaborative process in which clinicians and patients discuss trade-offs and benefits of specific treatment options in light of patients' values and preferences. Decision aids are paper, video, or web-based tools intended to help patients match personal preferences with available treatment options. We analyzed data for 2012-15 about patients within the ten High Value Healthcare Collaborative member systems who were exposed to condition-specific decision aids in the context of consultations for hip and knee osteoarthritis, with the intention that the aids be used to support shared decision making. Compared to matched patients not exposed to the decision aids, those exposed had two-and-a-half times the odds of undergoing hip replacement surgery and nearly twice the odds of undergoing knee replacement surgery within six months of the consultation. These findings suggest that health care systems adopting decision aids developed for use in shared decision making, and used in conjunction with hip and knee osteoarthritis consultations, should not expect reduced surgical utilization.

Indexed as

Decision Making, SharedDecision Support TechniquesArthroplasty, Replacement, HipArthroplasty, Replacement, KneeFemaleHumansMaleMiddle AgedOrthopedic ProceduresPatient ParticipationPatient PreferenceReferral and ConsultationAccess and useComorbidityDepressionHealth policyHip osteoarthritisKnee osteoarthritisMedicaidMedicaid patientsPatient engagementShared decision makingSurgerySystems of careValue

Identifiers

PMID31905066
PMCPMC7082857
OpenAlexW2997545751

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.