Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Sep 16;10(9):200-209.
doi: 10.4253/wjge.v10.i9.200.

Frequency of hospital readmission and care fragmentation in gastroparesis: A nationwide analysis

Affiliations

Frequency of hospital readmission and care fragmentation in gastroparesis: A nationwide analysis

Emad Qayed et al. World J Gastrointest Endosc. .

Abstract

Aim: To evaluate rates and predictors of hospital readmission and care fragmentation in patients hospitalized with gastroparesis.

Methods: We identified all adult hospitalizations with a primary diagnosis of gastroparesis in the 2010-2014 National Readmissions Database, which captures statewide readmissions. We excluded patients who died during the hospitalization, and calculated 30 and 90-d unplanned readmission and care fragmentation rates. Readmission to a non-index hospital (i.e., different from the hospital of the index admission) was considered as care fragmentation. A multivariate Cox regression model was used to analyze predictors of 30-d readmissions. Logistic regression was used to determine hospital and patient factors independently associated with 30-d care fragmentation. Patients readmitted within 30 d were followed for 60 d post discharge from the first readmission. Mortality during the first readmission, hospitalization cost, length of stay, and rates of 60-d readmission were compared between those with and without care fragmentation.

Results: There were 30064 admissions with a primary diagnosis of gastroparesis. The rates of 30 and 90-d readmissions were 26.8% and 45.6%, respectively. Younger age, male patient, diabetes, parenteral nutrition, ≥ 4 Elixhauser comorbidities, longer hospital stay (> 5 d), large and metropolitan hospital, and Medicaid insurance were associated with increased hazards of 30-d readmissions. Gastric surgery, routine discharge and private insurance were associated with lower 30-d readmissions. The rates of 30 and 90-d care fragmentation were 28.1% and 33.8%, respectively. Younger age, longer hospital stay (> 5 d), self-pay or Medicaid insurance were associated with increased risk of 30-d care fragmentation. Diabetes, enteral tube placement, parenteral nutrition, large metropolitan hospital, and routine discharge were associated with decreased risk of 30-d fragmentation. Patients who were readmitted to a non-index hospital had longer length of stay (6.5 vs 5.8 d, P = 0.03), and higher mean hospitalization cost ($15645 vs $12311, P < 0.0001), compared to those readmitted to the index hospital. There were no differences in mortality (1.0% vs 1.3%, P = 0.84), and 60-d readmission rate (55.3% vs 54.6%, P = 0.99) between the two groups.

Conclusion: Several factors are associated with the high 30-d readmission and care fragmentation in gastroparesis. Knowledge of these predictors can play a role in implementing effective preventive interventions to high-risk patients.

Keywords: Care fragmentation; Gastroparesis; Hospital readmission.

PubMed Disclaimer

Conflict of interest statement

Conflict-of-interest statement: The authors report no conflict of interest.

Figures

Figure 1
Figure 1
Data selection for Gastroparesis admissions. 1Duplicate index events are records that fit the criteria for index gastroparesis admission, but were also identified as readmissions within 30 d of a previous index gastroparesis admission. These records were not analyzed as a separate index admission, but were included in the readmission analysis.
Figure 2
Figure 2
Multivariable proportional hazard analysis of predictors of 30-d readmission in Patients hospitalized with gastroparesis, National Readmission Database, 2010-2014.
Figure 3
Figure 3
Proportion of 30 and 90-d readmissions to index and non-index hospitals. Blue represents non-index only readmissions, which is also the percent underestimation of care if only institutional databases are used. Blue and red represent fragmentation of care.
Figure 4
Figure 4
Multivariable logistic regression analysis of predictors of 30-d readmission to non-index hospital (care fragmentation) in patients hospitalized with gastroparesis, National Readmission Database, 2010-2014.

Similar articles

Cited by

References

    1. Jung HK, Choung RS, Locke GR 3rd, Schleck CD, Zinsmeister AR, Szarka LA, Mullan B, Talley NJ. The incidence, prevalence, and outcomes of patients with gastroparesis in Olmsted County, Minnesota, from 1996 to 2006. Gastroenterology. 2009;136:1225–1233. - PMC - PubMed
    1. Wadhwa V, Mehta D, Jobanputra Y, Lopez R, Thota PN, Sanaka MR. Healthcare utilization and costs associated with gastroparesis. World J Gastroenterol. 2017;23:4428–4436. - PMC - PubMed
    1. Woodhouse S, Hebbard G, Knowles SR. Psychological controversies in gastroparesis: A systematic review. World J Gastroenterol. 2017;23:1298–1309. - PMC - PubMed
    1. Teigland T, Iversen MM, Sangnes DA, Dimcevski G, Søfteland E. A longitudinal study on patients with diabetes and symptoms of gastroparesis - associations with impaired quality of life and increased depressive and anxiety symptoms. J Diabetes Complications. 2018;32:89–94. - PubMed
    1. Hasler WL, Parkman HP, Wilson LA, Pasricha PJ, Koch KL, Abell TL, Snape WJ, Farrugia G, Lee L, Tonascia J, et al. Psychological dysfunction is associated with symptom severity but not disease etiology or degree of gastric retention in patients with gastroparesis. Am J Gastroenterol. 2010;105:2357–2367. - PMC - PubMed