Evidence map›Paper›PMID 30939281›Full record

Observational studyThe Permanente journal2019

Temporal Changes in Health Care Utilization among Participants of a Medically Supervised Weight Management Program.

Ashok Krishnaswami, Stephen Sidney, Michael Sorel, Wayne Smith, Rohini Ashok

Abstract readObservational Study
In one paragraph

Observational study in The Permanente journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 1 country.

Ashok KrishnaswamiSan Jose Medical Center, CA.
Stephen SidneyDivision of Research, Oakland, CA.
Michael SorelDivision of Research, Oakland, CA.
Wayne SmithSan Jose Medical Center, CA.
Rohini AshokSan Jose Medical Center, CA.
Kaiser Permanente San Jose Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextObesity is associated with increased incidence of chronic diseases such as type 2 diabetes mellitus, systemic hypertension, and other risk factors for cardiovascular disease. Obesity is also associated with increased use of outpatient clinical services, a metric of health care utilization. However, little is known of temporal changes in health care utilization among obese participants of a medical weight management program.

objectiveTo assess changes in 3 health care utilization metrics (primary care physician office visits, ambulatory clinic office visits, and health care touches [encounters]) in weight management program participants across 21 Kaiser Permanente Northern California Medical Centers during a 5-year period.

designRetrospective observational study of 10,693 participants, with a linear-mixed effects model to account for repeated-measures analysis.

main outcome measuresFive-year temporal changes in the 3 health care metrics.

resultsAt baseline, the participants' average age (standard deviation) was 51.1 (12.4) years, and their mean body mass index (standard deviation) was 39.7 (7.2) kg/m

conclusionOur findings may be useful to other integrated health care delivery systems considering initiating a similar weight management program.

Indexed as

Weight Reduction ProgramsChronic DiseaseComorbidityFemaleFollow-Up StudiesHumansMaleMiddle AgedObesityPatient Acceptance of Health CareRetrospective StudiesTime

Identifiers

PMID30939281
PMCPMC6443354
OpenAlexW2927921065

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.