Out-of-Pocket Expenditures, Indirect Costs and Health-Related Quality of Life of Patients with Pulmonary Tuberculosis in Thailand
Notice bibliographique
Résumé
BACKGROUND: Thailand's hospitals may adopt different supervision approaches to improve tuberculosis (TB) treatment adherence. OBJECTIVE: The aim of this study was to compare out-of-pocket (OOP) expenditures, indirect costs, and health-related quality of life (HRQoL) among TB patients who received pharmaceutical care (pharmacist-led patient education and telephone consultation), home visit, and self-administered therapy (SAT) in Thailand. METHODS: We conducted a prospective study to collect OOP expenditures, indirect costs, and HRQoL from a subsample of 104 adult pulmonary TB patients who started treatment between January and May 2014 in three hospitals. The three sources of data included patient interviews, patient medical records, and the hospital billing database. Patients were followed from January 2014 to March 2015. Relevant OOP expenditures collected during the interviews included (1) healthcare costs and other medications costs (e.g. vitamins, antibiotics, anti-cough) occurring in private healthcare units; and (2) costs of transportation, food, and accommodation. Productivity loss was measured using the self-reported amount of time a patient was unable to work due to TB, travel time to and from the hospital, time spent at the hospital (waiting time, consultation time, and hospitalizations), and time spent accompanying family members on outpatient visits or during hospitalizations. Cost differences among treatment strategies were adjusted for baseline characteristics by generalized linear models (GLMs). All costs were converted to international dollars (I$). RESULTS: A total of 256 eligible patients who started pulmonary TB treatment during the specified period were approached, with 104 patients being included in the analysis (29, 38, and 37 patients receiving pharmaceutical care, home visit, and SAT, respectively). Mean OOP expenditures per patient receiving pharmaceutical care, home visit, and SAT were I$907.56 [confidence interval (CI) I$603.80-I$1269.41], I$148.47 (CI I$109.49-I$194.89), and I$95.35 (CI I$69.11-I$129.63), respectively. The GLM indicated statistically significantly lower OOP expenditures for patients receiving either home visit or SAT (ratio of mean costs 0.247, CI 0.142-0.427; and 0.318, CI 0.187-0.540, respectively) than those receiving pharmaceutical care. Patient's indirect costs for receiving pharmaceutical care, home visit, and SAT were I$1925.68 (CI I$922.06-I$3284.94), I$2393.66 (CI I$1435.01-I$3501.98), and I$833.33 (CI I$453.87-I$1263.45), respectively. The GLM found no statistically significant differences in indirect costs for the home visit and SAT groups (ratio of mean costs 1.904, CI 0.754-4.802; and 0.792, CI 0.289-2.175, respectively) when pharmaceutical care was set as the reference. Mean utility scores [EuroQol five-dimensional three-level (EQ-5D-3L)] at baseline and treatment end were 0.679 and 0.830, 0.713 and 0.905, and 0.708 and 0.913 for patients receiving pharmaceutical care, home visit, and SAT, respectively. CONCLUSION: Pharmaceutical care patients experienced the highest OOP expenditures, compared with home visit and SAT patients. Home-visit patients reached the highest indirect costs and utility score improvements. A large-scale prospective study is required in order to strengthen evidence to support policy making regarding the most efficient use of limited resources for the management of TB.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».