Evidence map›Paper›PMID 26335987›Full record

Observational studyJournal of the American Medical Informatics Association : JAMIA2016

The myth of standardized workflow in primary care.

G Talley Holman, John W Beasley, Ben-Tzion Karsh, Jamie A Stone, Paul D Smith, Tosha B Wetterneck

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. When is caring sharing? Primary care provider interdependence and continuity of care.JAAPA : official journal of the American Academy of Physician Assistants · 2023
    Article
  7. Teaming up in primary care: Membership boundaries, interdependence, and coordination.JAAPA : official journal of the American Academy of Physician Assistants · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Tailoring EHRs for Specific Working Environments Improves Work Well-Being of Physicians.International journal of environmental research and public health · 2020
    Article
  13. Review
  14. Article
  15. Article
  16. Clinical diabetes : a publication of the American Diabetes Association · 2019
    Article
  17. Article
  18. Article
  19. Designing a medication timeline for patients and physicians.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  20. Meaningful use's benefits and burdens for US family physicians.Journal of the American Medical Informatics Association : JAMIA · 2018
    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.

G Talley HolmanAmerican Academy of Family Physicians, Leawood, KS, USA Department of Industrial Engineering, University of Louisville, Louisville, KY, USA, Email: gtholman@gmail.com tholman@aafp.org.
John W BeasleyDepartment of Family Medicine, School of Medicine and Public Health; and the Department of Industrial and Systems Engineering, University of Wisconsin- (UW) Madison, WI, USA, Email: john.beasley@fammed.wisc.edu.
Ben-Tzion KarshDepartment of Family Medicine, School of Medicine and Public Health; Department of Industrial and Systems Engineering, and the Center for Quality and Productivity Improvement, UW- Madison, Madison, WI, USA.
Jamie A StoneSchool of Pharmacy and the Center for Quality and Productivity Improvement, UW- Madison, Madison, WI, USA, Email: jamie.stone@wisc.edu.
Paul D SmithDepartment of Family Medicine, School of Medicine and Public Health, UW-Madison, Madison, WI, USA, Email: paul.smith@fammed.wisc.edu.
Tosha B WetterneckDepartment of Medicine and Family Medicine, School of Medicine and Public Health; Department of Industrial and Systems Engineering, and the Center for Quality and Productivity Improvement, UW- Madison, WI, USA, Email: tbw@medicine.wisc.edu.

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
Assessing Risk in Ambulatory Medication Use after Hospital TransitionsK08HS017014 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI WETTERNECK, TOSHA BETH · 2007 to 2009
$411k
Proactive Risk Assessment of Primary Care of the ElderlyP20HS017115 · AHRQ · UNIVERSITY OF WISCONSIN-MADISON · PI KARSH, BEN-TZION · 2007 to 2007
$199k
AHRQ HHS K08 HS017014AHRQ HHS K08HS017014AHRQ HHS P20 HS017115AHRQ HHS P20HS017115NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1TR000427NCHS CDC HHS R18SH017899NCRR NIH HHS 1UL1RR025011NCRR NIH HHS UL1 RR025011
6 · The paper itself

Abstract

objectivePrimary care efficiency and quality are essential for the nation's health. The demands on primary care physicians (PCPs) are increasing as healthcare becomes more complex. A more complete understanding of PCP workflow variation is needed to guide future healthcare redesigns.

methodsThis analysis evaluates workflow variation in terms of the sequence of tasks performed during patient visits. Two patient visits from 10 PCPs from 10 different United States Midwestern primary care clinics were analyzed to determine physician workflow. Tasks and the progressive sequence of those tasks were observed, documented, and coded by task category using a PCP task list. Variations in the sequence and prevalence of tasks at each stage of the primary care visit were assessed considering the physician, the patient, the visit's progression, and the presence of an electronic health record (EHR) at the clinic.

resultsPCP workflow during patient visits varies significantly, even for an individual physician, with no single or even common workflow pattern being present. The prevalence of specific tasks shifts significantly as primary care visits progress to their conclusion but, notably, PCPs collect patient information throughout the visit. DISCUSSION: PCP workflows were unpredictable during face-to-face patient visits. Workflow emerges as the result of a "dance" between physician and patient as their separate agendas are addressed, a side effect of patient-centered practice.

conclusionsFuture healthcare redesigns should support a wide variety of task sequences to deliver high-quality primary care. The development of tools such as electronic health records must be based on the realities of primary care visits if they are to successfully support a PCP's mental and physical work, resulting in effective, safe, and efficient primary care.

Indexed as

Primary Health CareWorkflowEfficiency, OrganizationalHumansOffice Visitshealthcarepatient interactionprimary caretask listworkflow

Identifiers

PMID26335987
PMCPMC5009941

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.