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ABSTRACT: Background
This study assessed the cleft lip/palate (CL/P) healthcare provision using data from the Thailand National Health Security Office from fiscal years 2012-2016.Methods
Four national databases of Thailand comprising 1) admitted patient visit, 2) non-admitted patient visit, 3) birth defects registry and 4) civil registration databases were analyzed. All duplicate records were removed by a matching process using national identity number and date of birth prior to data extraction. Modified Geographic Information System was also used to compare each provincial patients with CL/P of Thailand to the number of provincial live births with CL/P.Results
The results showed that the number of live births with CL/P during this period was 7,775 cases (1,555 cases/fiscal year). While the number of cases with CL/P registered under the Universal Health Care Coverage with hospital stay was 6,715 (86.37%), 927 cases (11.92%) visited hospitals without a stay, and the remaining 133 cases (1.71%) never visited any hospital. Modified Geographic Information System result showed that the provincial CL/P healthcare was relatively well-balanced with the provincial live births with CL/P (r = 0.92, p < 0.05). Moreover, provinces with CL/P tertiary care centers attracted more patients from the surrounding provinces.Conclusion
This study showed that the percentage of patients with CL/P receiving hospital treatment was 98. The Thai Universal Health Care Coverage scheme has promoted the accessibility to CL/P treatment. In order to achieve the best possible comprehensive cleft care coverage, periodical assessment and improvement of the function and accuracy of the national database registry are recommended.
SUBMITTER: Chonnapasatid W
PROVIDER: S-EPMC8966314 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
BMC health services research 20220329 1
<h4>Background</h4>This study assessed the cleft lip/palate (CL/P) healthcare provision using data from the Thailand National Health Security Office from fiscal years 2012-2016.<h4>Methods</h4>Four national databases of Thailand comprising 1) admitted patient visit, 2) non-admitted patient visit, 3) birth defects registry and 4) civil registration databases were analyzed. All duplicate records were removed by a matching process using national identity number and date of birth prior to data extra ...[more]