Evidence map›Paper›PMID 16046565›Full record

ArticleAnnals of family medicine

Predicting persistently high primary care use.

James M Naessens, Macaran A Baird, Holly K Van Houten, David J Vanness, Claudia R Campbell

Open access · diamondAbstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.6field-weighted citation impact, top 5% 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.

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

17 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Integrating clinical medicine and population health: where to from here?Canadian journal of public health = Revue canadienne de sante publique · 2019
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  7. Impact of Patient Aligned Care Team Interprofessional Care Updates on Metabolic Parameters.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2016
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  15. The MMPI-2: a contemporary normative study of midwestern family medicine outpatients.Journal of clinical psychology in medical settings · 2008
    Article
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  17. 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

5 authors at 1 institution in 2 countries.

James M NaessensDivision of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55905, USA. naessens.james@mayo.edu
Macaran A Baird
Holly K Van Houten
David J Vanness
Claudia R Campbell
Mayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe wanted to identify risk factors for persistently high use of primary care.

methodsWe analyzed outpatient office visits to practitioners in family medicine, general internal medicine, general pediatrics, and obstetrics for 1997-1999 among patients in a small Midwestern city covered by a fee-for-service insurance plan with no co-payments for physician visits and no requirement for referral to specialty care. Logistic regression was used to predict which patients with 10 or more primary care visits in 1997 would repeat high use in 1998 based on demographic and diagnostic categories (adjusted clinical groups [ACGs]). A confirmatory data set (high primary care use in 1998 persistent into 1999) was used to evaluate the model.

resultsTwo percent of the 54,074 patients had 10 or more primary care visits in 1997, and of these, almost 19% had 10 or more visits in the next year. Among adults, 4 ambulatory diagnosis groups (ADGs) were simultaneously positive predictors of repeated high primary care visits: unstable chronic medical conditions, see and reassure conditions, minor time-limited psychosocial conditions, and minor signs and symptoms. Meanwhile, pregnancy was negatively associated. The area under the receiver operating characteristic (ROC) curve was 0.794 for adults in the developmental data set and 0.752 in the confirmatory data set, indicating a moderately accurate assessment. A satisfactory model was not developed for pediatric patients.

conclusionsMany persistently high primary care users appear to be overserviced but underserved, with underlying problems not addressed by a medical approach. Some may benefit from psychosocial support, whereas others may be good candidates for disease management interventions.

Indexed as

AdultChildFee-for-Service PlansFemaleForecastingHumansLogistic ModelsMalePrimary Health Care

Identifiers

PMID16046565
PMCPMC1466904
OpenAlexW2166879488

What OpenQuestion holds

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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.