Evidence map›Paper›PMID 26926525›Full record

ArticleBMC health services research2016

The effects of multiple chronic conditions on hospitalization costs and utilization for ambulatory care sensitive conditions in the United States: a nationally representative cross-sectional study.

Halcyon G Skinner, Rosanna Coffey, Jenna Jones, Kevin C Heslin, Ernest Moy

Registry-linked trialAbstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05379504 (Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology), which is not on this map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 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.

NCT05379504 nacompletednot on this mapstarted 2022, after this paper: background citation

Reducing COVID-19 Related Disability in Rural Community-Dwelling Older Adults Using Smart Technology

TypeinterventionalSponsorUniversity of Missouri-ColumbiaRan2022 to 2024Enrolled58ConditionsQuality of Life, Disabilities MultipleArmsStandard Health Education, Self Management
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Halcyon G SkinnerTruven Health Analytics, 4819 Emperor Blvd., Suite 125, Durham, NC, 27703, USA. hal.skinner@truvenhealth.com.
Rosanna CoffeyTruven Health Analytics, 7700 Old Georgetown Rd., Bethesda, MD, 20814, USA.
Jenna JonesTruven Health Analytics, 7700 Old Georgetown Rd., Bethesda, MD, 20814, USA.
Kevin C HeslinAgency for Healthcare Research and Quality, 5600 Fishers Lane, Rockville, MD, 20857, USA.
Ernest MoyAgency for Healthcare Research and Quality, 5600 Fishers Lane, Rockville, MD, 20857, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe presence of multiple chronic conditions (MCCs) complicates inpatient hospital care, leading to higher costs and utilization. Multimorbidity also complicates primary care, increasing the likelihood of hospitalization for ambulatory care sensitive conditions. The purpose of this study was to evaluate how MCCs relate to inpatient hospitalization costs and utilization for ambulatory care sensitive conditions.

methodsThe 2012 Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) provided data to carry out a cross-sectional analysis of 1.43 million claims related to potentially preventable hospitalizations classified by the AHRQ Prevention Quality Indicator (PQI) composites. Categories of MCCs (0-1, 2-3, 4-5, and 6+) were examined in sets of acute, chronic, and overall PQIs. Multivariate models determined associations between categories of MCCs and 1) inpatient costs per stay, 2) inpatient costs per day, and 3) length of inpatient hospitalization. Negative binomial was used to model costs per stay and costs per day.

resultsThe most common category observed was 2 or 3 chronic conditions (37.8 % of patients), followed by 4 or 5 chronic conditions (30.1 % of patients) and by 6+ chronic conditions (10.1 %). Compared with costs for patients with 0 or 1 chronic condition, hospitalization costs per stay for overall ambulatory care sensitive conditions were 19 % higher for those with 2 or 3 (95 % confidence interval [CI] 1.19-1.20), 32 % higher for those with 4 or 5 (95 % CI 1.31-1.32), and 31 % higher (95 % CI 1.30-3.32) for those with 6+ conditions. Acute condition stays were 11 % longer when 2 or 3 chronic conditions were present (95 % CI 1.11-1.12), 21 % longer when 4 or 5 were present (95 % CI 1.20-1.22), and 27 % longer when 6+ were present (95 % CI 1.26-1.28) compared with those with 0 or 1 chronic condition. Similar results were seen within chronic conditions. Associations between MCCs and total costs were driven by longer stays among those with more chronic conditions rather than by higher costs per day.

conclusionsThe presence of MCCs increased inpatient costs for ambulatory care sensitive conditions via longer hospital stays.

Indexed as

Ambulatory CarePrimary Health CareChronic DiseaseComorbidityCross-Sectional StudiesFemaleHealth Care CostsHospitalizationHumansLength of StayMaleMiddle AgedUnited StatesUnited States Agency for Healthcare Research and Quality

Identifiers

PMID26926525
PMCPMC4772316

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Registered trials

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.