Evidence map›Paper›PMID 27553626›Full record

ArticleBMC musculoskeletal disorders2016

Evaluation of a risk-stratification strategy to improve primary care for low back pain: the MATCH cluster randomized trial protocol.

Dan Cherkin, Benjamin Balderson, Georgie Brewer, Andrea Cook, Katherine Talbert Estlin, Sarah C Evers, Nadine E Foster, Jonathan C Hill, Rene Hawkes, Clarissa Hsu and 9 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC musculoskeletal disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02286141 (Evaluation of a Patient-Centered Risk Stratification Method for Improving Primary Care for Back Pain), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.4field-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.

NCT02286141 unknown statusnot on this map

Evaluation of a Patient-Centered Risk Stratification Method for Improving Primary Care for Back Pain

TypeobservationalSponsorKaiser PermanenteRan2013 to 2016Enrolled1,760ConditionsBack Pain
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Models of care for managing non-specific low back pain.The Cochrane database of systematic reviews · 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

19 authors at 6 institutions in 2 countries.

Dan CherkinGroup Health Research Institute, Seattle, USA. cherkin.d@ghc.org.
Benjamin BaldersonGroup Health Research Institute, Seattle, USA.
Georgie BrewerPatient Partner, Seattle, USA.
Andrea CookGroup Health Research Institute, Seattle, USA.
Katherine Talbert EstlinGroup Health Cooperative, Seattle, USA.
Sarah C EversGroup Health Research Institute, Seattle, USA.
Nadine E FosterNIHR Professor of Musculoskeletal Health in Primary Care, Keele University, Keele, UK.
Jonathan C HillPrimary Care & Health Sciences, Keele University, Keele, UK.
Rene HawkesGroup Health Research Institute, Seattle, USA.
Clarissa HsuGroup Health Research Institute, Center for Community Health and Evaluation, Seattle, USA.
Mark JensenPatient Partner, Seattle, USA.
Anne-Marie LaPortePatient Partner, Seattle, USA.
Martin D LevineIora Health, Shoreline, USA.
Diane PiekaraGroup Health Cooperative, Seattle, USA.
Pam RockGroup Health Cooperative, Seattle, USA.
Karen ShermanGroup Health Research Institute, Seattle, USA.
Gail SowdenArthritis Research UK Primary Care Centre, Research Institute for Primary Care and Health Sciences, Keele, UK.
Rob WellmanGroup Health Research Institute, Seattle, USA.
John YeomanPatient Partner, Seattle, USA.
Seattle University · USGroup Health Cooperative · USKaiser Permanente Washington Health Research Institute · USKeele University · GBShoreline Community College · USStoke-on-Trent City Council · GB

Funding

Implementing Evidence-Based Treatments for Persistent Back Pain into Primary CareR21AT007326 · NCCIH · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI CHERKIN, DANIEL C. · 2012 to 2013
$434k
Department of Health NIHR-RP-011-015NCCIH NIH HHS R21 AT007326
6 · The paper itself

Abstract

backgroundDespite numerous options for treating back pain and the increasing healthcare resources devoted to this problem, the prevalence and impact of back pain-related disability has not improved. It is now recognized that psychosocial factors, as well as physical factors, are important predictors of poor outcomes for back pain. A promising new approach that matches treatments to the physical and psychosocial obstacles to recovery, the STarT Back risk stratification approach, improved patients' physical function while reducing costs of care in the United Kingdom (UK). This trial evaluates implementation of this strategy in a United States (US) healthcare setting.

methodsSix large primary care clinics in an integrated healthcare system in Washington State were block-randomized, three to receive an intensive quality improvement intervention for back pain and three to serve as controls for secular trends. The intervention included 6 one-hour training sessions for physicians, 5 days of training for physical therapists, individualized and group coaching of clinicians, and integration of the STarT Back tool into the electronic health record. This prognostic tool uses 9 questions to categorize patients at low, medium or high risk of persistent disabling pain with recommendations about evidence-based treatment options appropriate for each subgroup. Patients at least 18 years of age, receiving primary care for non-specific low back pain, were invited to provide data 1-3 weeks after their primary care visit and follow-up data 2 months and 6 months (primary endpoint) later. The primary outcomes are back-related physical function and pain severity. Using an intention to treat approach, intervention effects on patient outcomes will be estimated by comparing mean changes at the 2 and 6 month follow-up between the pre- and post-implementation periods. The inclusion of control clinics permits adjustment for secular trends. Differences in change scores by intervention group and time period will be estimated using linear mixed models with random effects. Secondary outcomes include healthcare utilization and adherence to clinical guidelines. DISCUSSION: This trial will provide the first randomized trial evidence of the clinical effectiveness of implementing risk stratification with matched treatment options for low back pain in a United States health care delivery system.

trial registrationNCT02286141. Registered November 5, 2014.

Indexed as

Education, MedicalLow Back PainPhysical TherapistsPrimary Health CareQuality ImprovementAdultDisability EvaluationElectronic Health RecordsHumansPain MeasurementPrognosisProspective StudiesRandomized Controlled Trials as TopicRisk AssessmentSurveys and QuestionnairesUnited KingdomBack painGuidelinesPatient outcomesPhysical therapyPrimary careQuality improvementRisk-stratificationSTarT backSystemsUtilization

Identifiers

PMID27553626
PMCPMC4995645
OpenAlexW2510675078

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.