Evidence map›Paper›PMID 33620623›Full record

ReviewJournal of general internal medicine2021

An Evidence Review of Low-Value Care Recommendations: Inconsistency and Lack of Economic Evidence Considered.

David D Kim, Lauren A Do, Allan T Daly, John B Wong, James D Chambers, Daniel A Ollendorf, Peter J Neumann

Abstract readReview
In one paragraph

Review in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  4. A method to identify prescription drug targets for health technology reassessment.International journal of technology assessment in health care · 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

7 authors.

David D KimCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA. dkim3@tuftsmedicalcenter.org.ORCID 0000-0002-3383-8972
Lauren A DoCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA.
Allan T DalyCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA.
John B WongDepartment of Medicine, Tufts University School of Medicine, Boston, MA, USA.
James D ChambersCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA.
Daniel A OllendorfCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA.
Peter J NeumannCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington St., Box 063, Boston, MA, 02111, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow-value care, typically defined as health services that provide little or no benefit, has potential to cause harm, incur unnecessary costs, and waste limited resources. Although evidence-based guidelines identifying low-value care have increased, the guidelines differ in the type of evidence they cite to support recommendations against its routine use.

objectiveWe examined the evidentiary rationale underlying recommendations against low-value interventions.

designWe identified 1167 "low-value care" recommendations across five US organizations: the US Preventive Services Task Force (USPSTF), the "Choosing Wisely" Initiative, American College of Physicians (ACP), American College of Cardiology/American Heart Association (ACC/AHA), and American Society of Clinical Oncology (ASCO). For each recommendation, we classified the reported evidentiary rationale into five groups: (1) low economic value; (2) no net clinical benefit; (3) little or no absolute clinical benefit; (4) insufficient evidence; (5) no reason mentioned. We further investigated whether any cited or otherwise available cost-effectiveness evidence was consistent with conventional low economic value benchmarks (e.g., exceeding $100,000 per quality-adjusted life-year).

resultsOf the identified low-value care recommendations, Choosing Wisely contributed the most (N=582, 50%), followed by ACC/AHA (N=250, 21%). The services deemed "low value" differed substantially across organizations. "No net clinical benefit" (N=428, 37%) and "little or no clinical benefit" (N=296, 25%) were the most commonly reported reasons for classifying an intervention as low value. Consideration of economic value was less frequently reported (N=171, 15%). When relevant cost-effectiveness studies were available, their results were mostly consistent with low-value care recommendations.

conclusionsOur study found that evidentiary rationales for low-value care vary substantially, with most recommendations relying on clinical evidence. Broadening the evidence base to incorporate cost-effectiveness evidence can help refine the definition of "low-value" care to reflect whether an intervention's costs are worth the benefits. Developing a consensus grading structure on the strength and evidentiary rationale may help improve de-implementation efforts for low-value care.

Indexed as

Low-Value CareAdvisory CommitteesCardiologyCost-Benefit AnalysisHumansQuality-Adjusted Life YearsUnited Statescost-effectivenessevidenceguidelineslow-value care

Identifiers

PMID33620623
PMCPMC8606489

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.