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Published in: BMC Health Services Research 1/2016

Open Access 01-12-2016 | Research article

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

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

Published in: BMC Health Services Research | Issue 1/2016

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Abstract

Background

The 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.

Methods

The 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.

Results

The 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.

Conclusions

The presence of MCCs increased inpatient costs for ambulatory care sensitive conditions via longer hospital stays.
Literature
2.
go back to reference Cohen SB. Differentials in the concentration of health expenditures across population subgroups in the u.s., 2012: Statistical Brief #448. In: Medical Expenditure Panel Survey (MEPS) Statistical Briefs. Rockville: Agency for Health Care Policy and Research (US); 2014. Cohen SB. Differentials in the concentration of health expenditures across population subgroups in the u.s., 2012: Statistical Brief #448. In: Medical Expenditure Panel Survey (MEPS) Statistical Briefs. Rockville: Agency for Health Care Policy and Research (US); 2014.
5.
go back to reference Gorina Y, Kramarow EA. Identifying chronic conditions in Medicare claims data: evaluating the chronic condition data warehouse algorithm. Health Serv Res. 2011;46:1610–27.CrossRefPubMedPubMedCentral Gorina Y, Kramarow EA. Identifying chronic conditions in Medicare claims data: evaluating the chronic condition data warehouse algorithm. Health Serv Res. 2011;46:1610–27.CrossRefPubMedPubMedCentral
6.
go back to reference Steiner CA, Friedman B. Hospital utilization, costs, and mortality for adults with multiple chronic conditions, Nationwide Inpatient Sample, 2009. Prev Chronic Dis. 2013;10:E62.CrossRefPubMedPubMedCentral Steiner CA, Friedman B. Hospital utilization, costs, and mortality for adults with multiple chronic conditions, Nationwide Inpatient Sample, 2009. Prev Chronic Dis. 2013;10:E62.CrossRefPubMedPubMedCentral
7.
go back to reference Parekh AK, Goodman RA, Gordon C, Koh HK. Managing multiple chronic conditions: a strategic framework for improving health outcomes and quality of life. Public Health Rep. 2011;126:460–71.CrossRefPubMedPubMedCentral Parekh AK, Goodman RA, Gordon C, Koh HK. Managing multiple chronic conditions: a strategic framework for improving health outcomes and quality of life. Public Health Rep. 2011;126:460–71.CrossRefPubMedPubMedCentral
8.
go back to reference Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380:37–43.CrossRefPubMed Barnett K, Mercer SW, Norbury M, Watt G, Wyke S, Guthrie B. Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study. Lancet. 2012;380:37–43.CrossRefPubMed
9.
go back to reference Steiner CA, Barrett ML, Weiss AJ, Andrews RM. Trends and projections in hospital stays for adults with multiple chronic conditions, 2003–2014: Statistical Brief #183. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville: Agency for Health Care Policy and Research (US); 2006. Steiner CA, Barrett ML, Weiss AJ, Andrews RM. Trends and projections in hospital stays for adults with multiple chronic conditions, 2003–2014: Statistical Brief #183. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville: Agency for Health Care Policy and Research (US); 2006.
10.
go back to reference Vogeli C, Shields AE, Lee TA, Gibson TB, Marder WD, Weiss KB, et al. Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007;22 Suppl 3:391–5.CrossRefPubMedPubMedCentral Vogeli C, Shields AE, Lee TA, Gibson TB, Marder WD, Weiss KB, et al. Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007;22 Suppl 3:391–5.CrossRefPubMedPubMedCentral
11.
go back to reference Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med. 2002;162:2269–76.CrossRefPubMed Wolff JL, Starfield B, Anderson G. Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. Arch Intern Med. 2002;162:2269–76.CrossRefPubMed
12.
go back to reference Starfield B, Lemke KW, Bernhardt T, Foldes SS, Forrest CB, Weiner JP. Comorbidity: implications for the importance of primary care in “case” management. Ann Fam Med. 2003;1:8–14.CrossRefPubMedPubMedCentral Starfield B, Lemke KW, Bernhardt T, Foldes SS, Forrest CB, Weiner JP. Comorbidity: implications for the importance of primary care in “case” management. Ann Fam Med. 2003;1:8–14.CrossRefPubMedPubMedCentral
13.
go back to reference Starfield B, Lemke KW, Herbert R, Pavlovich WD, Anderson G. Comorbidity and the use of primary care and specialist care in the elderly. Ann Fam Med. 2005;3:215–22.CrossRefPubMedPubMedCentral Starfield B, Lemke KW, Herbert R, Pavlovich WD, Anderson G. Comorbidity and the use of primary care and specialist care in the elderly. Ann Fam Med. 2005;3:215–22.CrossRefPubMedPubMedCentral
14.
go back to reference Salisbury C, Johnson L, Purdy S, Valderas JM, Montgomery AA. Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study. Br J Gen Pract J R Coll Gen Pract. 2011;61:e12–21.CrossRef Salisbury C, Johnson L, Purdy S, Valderas JM, Montgomery AA. Epidemiology and impact of multimorbidity in primary care: a retrospective cohort study. Br J Gen Pract J R Coll Gen Pract. 2011;61:e12–21.CrossRef
16.
go back to reference Torio CM, Andrews RM. Geographic variation in potentially preventable hospitalizations for acute and chronic conditions, 2005–2011: Statistical Brief #178. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville: Agency for Health Care Policy and Research (US); 2006. Torio CM, Andrews RM. Geographic variation in potentially preventable hospitalizations for acute and chronic conditions, 2005–2011: Statistical Brief #178. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville: Agency for Health Care Policy and Research (US); 2006.
18.
go back to reference Goodman RA, Posner SF, Huang ES, Parekh AK, Koh HK. Defining and measuring chronic conditions: imperatives for research, policy, program, and practice. Prev Chronic Dis. 2013;10, E66.PubMedPubMedCentral Goodman RA, Posner SF, Huang ES, Parekh AK, Koh HK. Defining and measuring chronic conditions: imperatives for research, policy, program, and practice. Prev Chronic Dis. 2013;10, E66.PubMedPubMedCentral
19.
go back to reference Russo CA, Andrews RM, Barrett M. Racial and ethnic disparities in hospital patient safety events, 2005: Statistical Brief #53. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville: Agency for Health Care Policy and Research (US); 2006. Russo CA, Andrews RM, Barrett M. Racial and ethnic disparities in hospital patient safety events, 2005: Statistical Brief #53. In: Healthcare Cost and Utilization Project (HCUP) Statistical Briefs. Rockville: Agency for Health Care Policy and Research (US); 2006.
20.
go back to reference Lehnert T, Heider D, Leicht H, Heinrich S, Corrieri S, Luppa M, et al. Review: health care utilization and costs of elderly persons with multiple chronic conditions. Med Care Res Rev. 2011;68:387–420.CrossRefPubMed Lehnert T, Heider D, Leicht H, Heinrich S, Corrieri S, Luppa M, et al. Review: health care utilization and costs of elderly persons with multiple chronic conditions. Med Care Res Rev. 2011;68:387–420.CrossRefPubMed
21.
go back to reference Friedman B, Jiang HJ, Elixhauser A, Segal A. Hospital inpatient costs for adults with multiple chronic conditions. Med Care Res Rev. 2006;63:327–46.CrossRefPubMed Friedman B, Jiang HJ, Elixhauser A, Segal A. Hospital inpatient costs for adults with multiple chronic conditions. Med Care Res Rev. 2006;63:327–46.CrossRefPubMed
22.
go back to reference Parekh AK, Goodman RA. The HHS strategic framework on multiple chronic conditions: genesis and focus on research. J Comorbidity. 2013;3:22–9.CrossRef Parekh AK, Goodman RA. The HHS strategic framework on multiple chronic conditions: genesis and focus on research. J Comorbidity. 2013;3:22–9.CrossRef
23.
go back to reference Webster JS, King HB, Toomey LM, Salisbury ML, Powell SM, Craft B, et al. Understanding quality and safety problems in the ambulatory environment: seeking improvement with promising teamwork tools and strategies. In: Henriksen K, Battles JB, Keyes MA, Grady ML, editors. Advances in patient safety: new directions and alternative approaches (Vol. 3: Performance and tools). Rockville: Agency for Healthcare Research and Quality (US); 2008 [Advances in Patient Safety]. Webster JS, King HB, Toomey LM, Salisbury ML, Powell SM, Craft B, et al. Understanding quality and safety problems in the ambulatory environment: seeking improvement with promising teamwork tools and strategies. In: Henriksen K, Battles JB, Keyes MA, Grady ML, editors. Advances in patient safety: new directions and alternative approaches (Vol. 3: Performance and tools). Rockville: Agency for Healthcare Research and Quality (US); 2008 [Advances in Patient Safety].
24.
go back to reference Schneider KM, O’Donnell BE, Dean D. Prevalence of multiple chronic conditions in the United States’ Medicare population. Health Qual Life Outcomes. 2009;7:82.CrossRefPubMedPubMedCentral Schneider KM, O’Donnell BE, Dean D. Prevalence of multiple chronic conditions in the United States’ Medicare population. Health Qual Life Outcomes. 2009;7:82.CrossRefPubMedPubMedCentral
25.
go back to reference Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;11:1245–51.CrossRef Charlson M, Szatrowski TP, Peterson J, Gold J. Validation of a combined comorbidity index. J Clin Epidemiol. 1994;11:1245–51.CrossRef
26.
go back to reference Kadam UT, Uttley J, Jones PW, Iqbal Z. Chronic disease multimorbidity transitions across healthcare interfaces and associated costs: a clinical-linkage database study. BMJ Open. 2013;7, e003109.CrossRef Kadam UT, Uttley J, Jones PW, Iqbal Z. Chronic disease multimorbidity transitions across healthcare interfaces and associated costs: a clinical-linkage database study. BMJ Open. 2013;7, e003109.CrossRef
27.
go back to reference Gawande A. Being mortal: medicine and what matters in the end. New York: Metropolitan Books, Henry Holt and Company; 2014. Gawande A. Being mortal: medicine and what matters in the end. New York: Metropolitan Books, Henry Holt and Company; 2014.
Metadata
Title
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
Authors
Halcyon G. Skinner
Rosanna Coffey
Jenna Jones
Kevin C. Heslin
Ernest Moy
Publication date
01-12-2016
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2016
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-016-1304-y

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