RESUMEN
BACKGROUND: Cervical cancer occurs 80% in developing country including Indonesia and take place in the first rank of incidence rate and third rank in mortality rate in Asian Pacific. Natural history of cervical cancer gives a potential to get accurate screening method. Cervical cancer screening m in Indonesia use VIA and Pap smear method for women in age range 30 to 50 years old. Recently, HPV DNA test has been recommended in international and national policy as primary screening method for cervical cancer. This research aims to asses cost-effectiveness and economic implications of specific cervical cancer screening modalities. METHODS: Cost-effectiveness analysis was conducted from societal perspective. Cost data was collected from four hospitals in Indonesia. Direct medical costs were derived from discussions with an expert panel and hospital billing data, aligning with current practice guidelines. Direct and indirect non-medical costs were estimated from patient interviews. Effectiveness data for the screening methods were extracted from a systematic review of existing literature. Markov model design was used for cost-effectiveness analysis. Budget impact analysis used healthcare perspective method from its billing for cervical cancer patients. RESULTS: Cervical cancer screening costs are calculated using direct medical, non-medical, and indirect expenses. Regarding to cost-effective analysis by incremental cost-effective ratio (ICER), pap smear for every 3 and 5 years is more cost-effective than VIA. HPV DNA also has the potential to be cost-effective. The budget impact analysis investigates scenarios, with a focus on negotiation-based cost reductions for HPV DNA testing. Controlling HPV DNA tariffs at USD 8.76 proves cost-effective. CONCLUSION: In conclusion, pap smear is the most cost-effective modality, while HPV DNA has the potential to be cost-effective by reducing the unit cost. Despite favorable outcomes, challenges in implementation suggest a phased approach for resource equalization before full deployment.
Asunto(s)
Análisis Costo-Beneficio , ADN Viral , Detección Precoz del Cáncer , Prueba de Papanicolaou , Papillomaviridae , Infecciones por Papillomavirus , Neoplasias del Cuello Uterino , Frotis Vaginal , Humanos , Femenino , Neoplasias del Cuello Uterino/diagnóstico , Neoplasias del Cuello Uterino/virología , Neoplasias del Cuello Uterino/economía , Prueba de Papanicolaou/economía , Detección Precoz del Cáncer/economía , Detección Precoz del Cáncer/métodos , Indonesia/epidemiología , Infecciones por Papillomavirus/diagnóstico , Infecciones por Papillomavirus/virología , Infecciones por Papillomavirus/economía , Frotis Vaginal/economía , Frotis Vaginal/métodos , ADN Viral/análisis , ADN Viral/genética , Papillomaviridae/genética , Papillomaviridae/aislamiento & purificación , Persona de Mediana Edad , Adulto , Pronóstico , Estudios de Seguimiento , Tamizaje Masivo/economía , Tamizaje Masivo/métodosRESUMEN
OBJECTIVE: To estimate hospital services utilisation and cost among the Indonesian population enrolled in the National Health Insurance (NHI) program before and after COVID-19 hospital treatment. METHODS: 28,159 Indonesian NHI enrolees treated with laboratory-confirmed COVID-19 in hospitals between May and August 2020 were compared to 8,995 individuals never diagnosed with COVID-19 in 2020. A difference-in-difference approach is used to contrast the monthly all-cause utilisation rate and total claims of hospital services between these two groups. A period of nine months before and three to six months after hospital treatment were included in the analysis. RESULTS: A substantial short-term increase in hospital services utilisation and cost before and after COVID-19 treatment was observed. Using the fifth month before treatment as the reference period, we observed an increased outpatient visits rate in 1-3 calendar months before and up to 2-4 months after treatment (p<0.001) among the COVID-19 group compared to the comparison group. We also found a higher admissions rate in 1-2 months before and one month after treatment (p<0.001). Consequently, increased hospital costs were observed in 1-3 calendar months before and 1-4 calendar months after the treatment (p<0.001). The elevated hospital resource utilisation was more prominent among individuals older than 40. Overall, no substantial increase in hospital outpatient visits, admissions, and costs beyond four months after and five months before COVID-19 treatment. CONCLUSION: Individuals with COVID-19 who required hospital treatment had considerably higher healthcare resource utilisation in the short-term, before and after the treatment. These findings indicated that the total cost of treating COVID-19 patients might include the pre- and post-acute period.