Healthcare Quality Received by Insured Patients in Two Indonesian Regional Public Hospitals

Author:

Rachmawaty Rini1ORCID,Wahyudin Elly1,Bukhari Agussalim1,Sinrang Andi Wardihan,Satar Gavrila Lenny1,Juhran Arfiani1

Affiliation:

1. Hasanuddin University, Indonesia

Abstract

Background: Hospitals are required to improve the quality of health services provided to patients. Purpose: Evaluating and comparing the healthcare quality received by insured patients hospitalized in two Indonesian regional public hospitals. Methods: Secondary data analysis used the 2019 and 2020 Indonesian National Health Insurance e-claim databases of Hospital A and Hospital B. Descriptive and crosstabs analyses were used to determine INA-CBGs diagnoses that were categorized as high volume, high risk, and high cost. Results: The admissions that caused financial loss at the Hospital A were 21.1% in 2019 and 19.8% in 2020, while 30.3% in 2019 and 27.5% at the Hospital B. More than 60% of these admissions were placed in the 3rd class of inpatient wards of the two hospitals. Of these admissions, < 5% at the Hospital A and >5% at the Hospital B were readmitted within 30 days, although more than 90% were previously discharged based on physicians’ approval. Conclusions: Inadequate healthcare quality received by insured patients. Hence, an integrated clinical pathways based professional nursing practice model is highly recommended to increase patient outcomes and decrease 30 days hospital readmission rates.

Funder

Directorate General of Higher Education, Research, and Technology Ministry of Education, Culture, Research and Technology

Publisher

SAGE Publications

Subject

Nursing (miscellaneous)

Reference35 articles.

1. Healthcare Quality: A Concept Analysis

2. Inpatient Readmission Insidence of National Health Insurance Patients at Partner Hospitals of BPJS-Health in Sukabumi 2015

3. Australian Commission on Safety and Quality in Health Care. (2019). Avoidable hospital readmissions: Report on Australian and International indicators, their use and the efficacy of interventions to reduce readmissions. (Issue June).

4. Analysis of length of hospital stay using electronic health records: A statistical and data mining approach

5. Bailey M. K., Weiss A. J., Barrett M. L., Jiang H. J. (2019). STATISTICAL BRIEF #248. https://hcup-us.ahrq.gov/reports/statbriefs/sb248-Hospital-Readmissions-2010-2016.jsp

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