Evidence map›Paper›PMID 31619421›Full record

ArticleBMJ open2019

Multiple chronic conditions at a major urban health system: a retrospective cross-sectional analysis of frequencies, costs and comorbidity patterns.

Usnish B Majumdar, Christophe Hunt, Patrick Doupe, Aaron J Baum, David J Heller, Erica L Levine, Rashi Kumar, Robert Futterman, Cother Hajat, Sandeep P Kishore

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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

10 authors at 4 institutions in 2 countries.

Usnish B MajumdarArnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Christophe HuntMount Sinai Health Partners, New York City, New York, USA.
Patrick DoupeArnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Aaron J BaumArnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
David J HellerArnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Erica L LevineArnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
Rashi KumarHealthfirst, New York City, New York, USA.
Robert FuttermanHealthfirst, New York City, New York, USA.
Cother HajatUAE University, Al Ain, United Arab Emirates.
Sandeep P KishoreArnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York City, New York, USA sunny.kishore@gmail.com.
Icahn School of Medicine at Mount Sinai · USBrigham and Women's Hospital · USHealthPartners · USUnited Arab Emirates University · AE

Funding

Adapting the WHO Cardiovascular Disease Risk Management Package to the Ghanaian Community-Based Health Planning and Services (CHPS) Primary Care Model: An Implementation Pilot StudyR21TW010452 · FIC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PHILLIPS, JAMES FRANKLIN · 2016 to 2017
$365k
FIC NIH HHS R21 TW010452
6 · The paper itself

Abstract

objectiveTo (1) examine the burden of multiple chronic conditions (MCC) in an urban health system, and (2) propose a methodology to identify subpopulations of interest based on diagnosis groups and costs.

designRetrospective cross-sectional study.

settingMount Sinai Health System, set in all five boroughs of New York City, USA.

participants192 085 adult (18+) plan members of capitated Medicaid contracts between the Healthfirst managed care organisation and the Mount Sinai Health System in the years 2012 to 2014.

methodsWe classified adults as having 0, 1, 2, 3, 4 or 5+ chronic conditions from a list of 69 chronic conditions. After summarising the demographics, geography and prevalence of MCC within this population, we then described groups of patients (segments) using a novel methodology: we combinatorially defined 18 768 potential segments of patients by a pair of chronic conditions, a sex and an age group, and then ranked segments by (1) frequency, (2) cost and (3) ratios of observed to expected frequencies of co-occurring chronic conditions. We then compiled pairs of conditions that occur more frequently together than otherwise expected.

results61.5% of the study population suffers from two or more chronic conditions. The most frequent dyad was hypertension and hyperlipidaemia (19%) and the most frequent triad was diabetes, hypertension and hyperlipidaemia (10%). Women aged 50 to 65 with hypertension and hyperlipidaemia were the leading cost segment in the study population. Costs and prevalence of MCC increase with number of conditions and age. The disease dyads associated with the largest observed/expected ratios were pulmonary disease and myocardial infarction. Inter-borough range MCC prevalence was 16%.

conclusionsIn this low-income, urban population, MCC is more prevalent (61%) than nationally (42%), motivating further research and intervention in this population. By identifying potential target populations in an interpretable manner, this segmenting methodology has utility for health services analysts.

Indexed as

Urban Health ServicesAdolescentAdultAgedAge DistributionComorbidityCross-Sectional StudiesDiabetes MellitusFemaleGlaucomaHealth ExpendituresHumansHyperlipidemiasHypertensionMaleMiddle Agedhealth services administration & managementpublic healthquality in health care

Identifiers

PMID31619421
PMCPMC6797368
OpenAlexW2980921188

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.