Evidence map›Paper›PMID 33685879›Full record

ArticleAnnals of family medicine

Standardization vs Customization: Finding the Right Balance.

Christine A Sinsky, Hessam Bavafa, Richard G Roberts, John W Beasley

Abstract read
In one paragraph

Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Nationalization of clinical care pathways for inflammatory bowel disease management in Canada.Journal of the Canadian Association of Gastroenterology · 2026
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  6. Untold Stories: An Intervention to Rekindle Empathy in Medicine.Journal of graduate medical education · 2026
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  13. Balancing ideals and realities: health care professionals' perspectives of and attitudes toward digital patient-centered cancer care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  14. Article
  15. Article
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  18. Review
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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

4 authors.

Christine A SinskyAmerican Medical Association, Chicago, Illinois christine.sinsky@ama-assn.org.
Hessam BavafaWisconsin School of Business, University of Wisconsin-Madison, Madison, Wisconsin.
Richard G RobertsSchool of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.
John W BeasleySchool of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an inherent tension between standardization and customization of care delivery processes. The challenge for health care systems is to achieve the right balance. At its best, standardized work can create efficiencies that generate the additional time needed for personalized care. Similarly, at its best, customization allows the people within a system to accommodate the needs, preferences, and circumstances of the unique individuals and local communities they serve. We provide examples and offer principles to decide when standardization offers the most successful path and when customization may be preferred. We believe that, in sum, the balance has shifted too far toward standardization and that a rebalancing toward customization will benefit patients, clinicians, and the health care system.

Indexed as

Delivery of Health CareHumansPrecision MedicineQuality of Health CareReference Standardsadministrative burdenburnoutclinician-patient communication/relationshipcustomizationleadershipprimary care issuesquality measurementstandardizationteamworktransactional

Identifiers

PMID33685879
PMCPMC7939702

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.