IMPACT OF PAYER ON HEALTHCARE RESOURCE UTILIZATION AND COSTS AMONG OVARIAN CANCER PATIENTS IN INDIA
Author(s)
Abraham PS1, Greene M1, Eguale T1, Rodriguez-Monguio R2, Seoane-Vazquez E3
1MCPHS University, Boston, MA, USA, 2University of Massachusetts Amherst, Amherst, MA, USA, 3Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA
OBJECTIVES: To evaluate the impact of the type of payer on health care utilization and the costs of patients treated for ovarian cancer at a tertiary hospital in India. METHODS: This study was a retrospective review of electronic medical records from a tertiary care hospital in Mumbai, India. Patients ≥18 years of age hospitalized for ovarian cancer treatment between Jan 2014 and May 2015 were included in the study. Descriptive and inferential statistics were used to analyze and compare differences between patients. Regression models were also used to determine predictors of total costs for all patients. RESULTS: A total of 45 patients met the study criteria. The mean length of stay (LOS) for all patients was 9.4+4.55 days. The mean LOS was highest for RGJAY patients and lowest for private insurance (PI) patients. (RGJAY=10.5+3.85, no insurance (NI)=9.5+6.02, CGHS=8.5+0.70 days, PI=7.2+4.18; p=0.289). Patients with CGHS went into surgery (2+0 days) the earliest while private insurance patients got discharged the earliest (6.5+2.64 days). Patients with NI received the highest number of per patient clinician visits compared to other patients (NI-35.9 visits/patient, CGHS-19.5, RGJAY-1.1, PI-30.3; p<0.001). Patients with NI (unit doses=3926) and PI (unit doses=1980) received the highest unit doses of drug while RGJAY scheme patients (unit doses=208) received the least. Mean hospital costs were highest for patients with NI and lowest for RGJAY scheme patients (NI=$3843.77+$2735.89, PI=$2735.89+2454.62, CGHS=$1849.73+1023.56, RGJAY=$653.01+$257.18). Clinician visits (r=0.826, p=0.004), having NI (r=0.532, p=0.025), undergoing surgery (r=0.224, p=0.044) were found to be significant predictors of costs in the regression model. CONCLUSIONS: Significant differences were found in resource utilization and costs among ovarian cancer patients. Patients covered by private insurance and no insurance incurred higher costs but received more resources, which could lead to better care, compared to patients with other insurances.
Conference/Value in Health Info
2017-05, ISPOR 2017, Boston, MA, USA
Value in Health, Vol. 20, No. 5 (May 2017)
Code
PCN227
Topic
Economic Evaluation, Health Policy & Regulatory, Health Service Delivery & Process of Care
Topic Subcategory
Cost/Cost of Illness/Resource Use Studies, Prescribing Behavior, Reimbursement & Access Policy
Disease
Oncology