Evidence map›Paper›PMID 30646392›Full record

ArticleJAMA network open2018

Comparison of the Complexity of Patients Seen by Different Medical Subspecialists in a Universal Health Care System.

Marcello Tonelli, Natasha Wiebe, Braden J Manns, Scott W Klarenbach, Matthew T James, Pietro Ravani, Neesh Pannu, Jonathan Himmelfarb, Brenda R Hemmelgarn

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 173 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
173citing papers in PubMed, 6 pooled it
–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

173 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  3. Effect of pharmacist interventions in chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
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  15. Risk of Hospital Readmission among People with CKD: A Population-Based Cohort Study.Clinical journal of the American Society of Nephrology : CJASN · 2026
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  16. Consultation complexity and professionals consulted: a retrospective cohort study in English primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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113 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Marcello TonelliDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Natasha WiebeDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Braden J MannsDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Scott W KlarenbachDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Matthew T JamesDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Pietro RavaniDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.
Neesh PannuDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Jonathan HimmelfarbDepartment of Medicine, University of Washington, Seattle.
Brenda R HemmelgarnDepartment of Medicine, University of Calgary, Calgary, Alberta, Canada.

Funding

CIHR
6 · The paper itself

Abstract

Importance: Clinical experience suggests that there are substantial differences in patient complexity across medical specialties, but empirical data are lacking. Objective: To compare the complexity of patients seen by different types of physician in a universal health care system. Design, Setting, and Participants: Population-based retrospective cohort study of 2 597 127 residents of the Canadian province of Alberta aged 18 years and older with at least 1 physician visit between April 1, 2014 and March 31, 2015. Data were analyzed in September 2018. Exposures: Type of physician seeing each patient (family physician, general internist, or 11 types of medical subspecialist) assessed as non-mutually exclusive categories. Main Outcomes and Measures: Nine markers of patient complexity (number of comorbidities, presence of mental illness, number of types of physicians involved in each patient's care, number of physicians involved in each patient's care, number of prescribed medications, number of emergency department visits, rate of death, rate of hospitalization, rate of placement in a long-term care facility). Results: Among the 2 597 127 participants, the median (interquartile range) age was 46 (32-59) years and 54.1% were female. Over 1 year of follow-up, 21 792 patients (0.8%) died, the median (range) number of days spent in the hospital was 0 (0-365), 8.1% of patients had at least 1 hospitalization, and the median (interquartile range) number of prescribed medications was 3 (1-7). When the complexity markers were considered individually, patients seen by nephrologists had the highest mean number of comorbidities (4.2; 95% CI, 4.2-4.3 vs [lowest] 1.1; 95% CI, 1.0-1.1), highest mean number of prescribed medications (14.2; 95% CI, 14.2-14.3 vs [lowest] 4.9; 95% CI, 4.9-4.9), highest rate of death (6.6%; 95% CI, 6.3%-6.9% vs [lowest] 0.1%; 95% CI, <0.1%-0.2%), and highest rate of placement in a long-term care facility (2.0%; 95% CI, 1.8%-2.2% vs [lowest] <0.1%; 95% CI, <0.1%-0.1%). Patients seen by infectious disease specialists had the highest complexity as assessed by the other 5 markers: rate of a mental health condition (29%; 95% CI, 28%-29% vs [lowest] 14%; 95% CI, 14%-14%), mean number of physician types (5.5; 95% CI, 5.5-5.6 vs [lowest] 2.1; 95% CI, 2.1-2.1), mean number of physicians (13.0; 95% CI, 12.9-13.1 vs [lowest] 3.8; 95% CI, 3.8-3.8), mean days in hospital (15.0; 95% CI, 14.9-15.0 vs [lowest] 0.4; 95% CI, 0.4-0.4), and mean emergency department visits (2.6; 95% CI, 2.6-2.6 vs [lowest] 0.5; 95% CI, 0.5-0.5). When types of physician were ranked according to patient complexity across all 9 markers, the order from most to least complex was nephrologist, infectious disease specialist, neurologist, respirologist, hematologist, rheumatologist, gastroenterologist, cardiologist, general internist, endocrinologist, allergist/immunologist, dermatologist, and family physician. Conclusion and Relevance: Substantial differences were found in 9 different markers of patient complexity across different types of physician, including medical subspecialists, general internists, and family physicians. These findings have implications for medical education and health policy.

Indexed as

ComorbidityAdultAlbertaDrug PrescriptionsFemaleHospitalizationHumansMaleMedicineMiddle AgedPhysiciansRetrospective StudiesUniversal Health Insurance

Identifiers

PMID30646392
PMCPMC6324421

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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.