BACKGROUND: Stroke is an important health problem that imposes socioeconomic burdens. OBJECTIVE: To explore provider costs and to examine predictive factors for cost of acute and sub-acute inpatient services for stroke patients. MATERIAL AND METHOD: The present study design was prevalence-based cost-of-illness with micro-costing approach. Subjects were 407 first episode stroke patients. Patient costs were prospectively recorded from July 2008 to March 2009. RESULTS: The average cost per admission was 32,372 Baht. The cost of acute phase was higher than that of sub-acute phase. Moreover; costs were significantly different among disability levels. Predictors of cost in acute phase included surgery, hemorrhagic pathology, and length of stay (adjusted R2 = 0.755; p < 0.001). Additional predictors of costs in sub-acute phase included initial Barthel index, gender, rehabilitation treatment, and the hospital (adjusted R = 0.748; p < 0.001). CONCLUSION: Cost of stroke was influenced by patient characteristics, pathology, treatments, and phases of care that should be considered in reimbursement system policy.
BACKGROUND:Stroke is an important health problem that imposes socioeconomic burdens. OBJECTIVE: To explore provider costs and to examine predictive factors for cost of acute and sub-acute inpatient services for strokepatients. MATERIAL AND METHOD: The present study design was prevalence-based cost-of-illness with micro-costing approach. Subjects were 407 first episode strokepatients. Patient costs were prospectively recorded from July 2008 to March 2009. RESULTS: The average cost per admission was 32,372 Baht. The cost of acute phase was higher than that of sub-acute phase. Moreover; costs were significantly different among disability levels. Predictors of cost in acute phase included surgery, hemorrhagic pathology, and length of stay (adjusted R2 = 0.755; p < 0.001). Additional predictors of costs in sub-acute phase included initial Barthel index, gender, rehabilitation treatment, and the hospital (adjusted R = 0.748; p < 0.001). CONCLUSION: Cost of stroke was influenced by patient characteristics, pathology, treatments, and phases of care that should be considered in reimbursement system policy.
Authors: Henning Tarp Jensen; Marcus R Keogh-Brown; Bhavani Shankar; Wichai Aekplakorn; Sanjay Basu; Soledad Cuevas; Alan D Dangour; Shabbir H Gheewala; Rosemary Green; Edward Joy; Nipa Rojroongwasinkul; Nalitra Thaiprasert; Richard D Smith Journal: SSM Popul Health Date: 2019-07-31
Authors: Henning Tarp Jensen; Marcus R Keogh-Brown; Bhavani Shankar; Wichai Aekplakorn; Sanjay Basu; Soledad Cuevas; Alan D Dangour; Shabbir H Gheewala; Rosemary Green; Edward J M Joy; Nipa Rojroongwasinkul; Nalitra Thaiprasert; Richard D Smith Journal: Food Policy Date: 2019-02 Impact factor: 4.552
Authors: Marcus R Keogh-Brown; Henning Tarp Jensen; Sanjay Basu; Wichai Aekplakorn; Soledad Cuevas; Alan D Dangour; Shabbir H Gheewala; Rosemary Green; Edward Jm Joy; Nipa Rojroongwasinkul; Nalitra Thaiprasert; Bhavani Shankar; Richard D Smith Journal: Popul Health Metr Date: 2019-08-16
Authors: Colman Taylor; Annet C Hoek; Irene Deltetto; Adrian Peacock; Do Thi Phuong Ha; Michael Sieburg; Dolly Hoang; Kathy Trieu; Laura K Cobb; Stephen Jan; Jacqui Webster Journal: Arch Public Health Date: 2021-03-11
Authors: Stefan Strilciuc; Diana Alecsandra Grad; Constantin Radu; Diana Chira; Adina Stan; Marius Ungureanu; Adrian Gheorghe; Fior-Dafin Muresanu Journal: J Med Life Date: 2021 Sep-Oct