METHODS: This cross-sectional study analyzed the efficiency of 76 Decision-Making Units (DMUs) or health facilities, consisting of 62 health clinics and 14 hospitals. Data Envelopment Analysis (DEA) was used for computing efficiency scores while adopting the Variable Return to Scale (VRS) approach. The analysis was based on input orientation. The input was the cost of ambulance services, while the output for this analysis was the distance coverage (in km), the number of patients transferred, and hours of usage (in hours). Subsequent analysis was conducted to test the Overall Technical Efficiency (OTE), the Pure Technical Efficiency (PTE), the Scale Efficiency (SE), and the Return to Scale with the type of health facilities and geographical areas using a Mann-Whitney U-test and a chi-square test.
RESULTS: The mean scores of OTE, PTE, and SE were 0.508 (±0.207), 0.721 (±0.185), and 0.700 (±0.200), respectively. Approximately, 14.47% of the total health facilities were PTE. The results showed a significant difference in OTE and SE between ambulance services in hospitals and health clinics (p < 0.05), but no significant difference in PTE between hospitals and clinics (p>0.05). There was no significant difference in efficiency scores between urban and rural health facilities in terms of ambulance services except for OTE (p < 0.05).
DISCUSSION: The ambulance services provided in healthcare facilities in the MOH Malaysia operate at 72.1% PTE. The difference in OTE between hospitals and health clinics' ambulance services was mainly due to the operating size rather than PTE. This study will be beneficial in providing a guide to the policymakers in improving ambulance services through the readjustment of health resources and improvement in the outputs.
MATERIALS AND METHODS: The study was conducted at MOH hospitals in Jordan, from August to November 2010. A total of 138 patients and 49 caregivers were involved in the study. An economic evaluation study was used to analyze the burden of hemodialysis treatment at MOH, Jordan. Direct medical costs were estimated through micro and macro costing from the provider's perspective. Patients' and caregivers' costs were included to calculate direct non-medical costs. Human capital approach was employed to evaluate the productivity loss for indirect cost and premature death and potential year life loss was used to estimate the premature death cost.
RESULTS: The total burden of hemodialysis at MOH, Jordan was USD17.70 million per year. Cost per session was $72 and the annual cost per patient was $9976. Direct medical cost was $7.20 million (41%) and direct non-medical cost was $2.02 million (11%). On the other hand, indirect cost (productivity loss) was $8.48 million (48%). All 722 patients on hemodialysis at MOH hospitals consumed 2.7% of MOH budget.
CONCLUSIONS: Costs of treating and managing patients on hemodialysis at MOH hospitals in Jordan are substantial. Therefore, efforts should be taken to slow down the progress of renal failure to save resources and a comparative study with other modalities, such as continuous ambulatory peritoneal dialysis and kidney transplantation, should be considered.