Factors Associated With Choice of Pharmacy Setting Among DoD Health Care Beneficiaries Aged 65 Years or Older
Notice bibliographique
Résumé
BACKGROUND: Department of Defense (DoD) health care planners want to stimulate a voluntary migration of prescription fills from military and community pharmacies to its mail-order pharmacy, a lower-cost dispensing option for the department. Beneficiary cost share for a 90-day supply of generic/ brand medication is $0/$0 at military (DoD) pharmacies, $3/$9 at the DoD mail-order pharmacy, and $9/$27 at network community pharmacies. OBJECTIVE: To examine the pharmacy use patterns among the beneficiary population age 65 years or older, traditionally the heaviest users of the TRICARE DOD prescription drug benefit, to identify factors that are associated with beneficiary use of pharmacy setting(s). METHODS: Outpatient prescription fill records were examined for TRICARE beneficiaries age 65 years or older (N = 300,084) residing in North Carolina, Texas, and California for dates of service from December 1, 2004 through February 28, 2005. Binary logistic regression models were run for each type (military, community, and mail order) and number of pharmacy settings used by beneficiary gender, age group, catchment area status (located either within or outside a 40-mile radius of each military pharmacy), state, and number of medications obtained (defined as count of unique combinations of strength, and route of administration). The mean number of medications per beneficiary and cost per medication were tabulated for each type and number of settings used. RESULTS: In the 3-month period from December 1, 2004 through February 28, 2005, beneficiary use of military, community, and mail-order pharmacies was 45.4%, 67.6%, and 22.1%, respectively. About 67% of the study population used 1 setting exclusively and 2.4% used all 3 settings. Noncatchment residents were significantly less likely (adjusted odds ratio [AOR]= 0.080; 95% confidence interval [CI], 0.078-0.082) to use a military pharmacy exclusively and significantly more likely to use a community pharmacy (AOR = 4.64; 95% CI, 4.55-4.73) or the mail-order pharmacy (AOR = 3.92; 95% CI, 3.80-4.05) exclusively than were catchment residents. Beneficiaries taking 10 or more medications were more likely (AOR = 8.43; 95% CI, 8.21-8.65) to use multiple settings than were those who obtained 3 or fewer medications. Single-setting users obtained a median of 4 (interquartile range [IQ]) 2-7) medications with a median copayment of $7.00 (IQ $0-$13.19) per medication. Those who used all 3 settings obtained a median of 9 (IQ 7-12) medications with a median copayment of $4.33 (IQ $3.00-$6.00) per medication. Among beneficiaries who obtained 6 or more unique medications during the 90-day study period, approximately 25% used the mail-order pharmacy to obtain 1 or more prescription fills. CONCLUSION: A significant portion of the study population did not use the mail-order pharmacy despite the financial incentive to use mail-order rather than community pharmacies. Relatively small financial incentives alone may be inadequate for promoting a switch to the mail-order option among those beneficiaries not already using it in a pharmacy benefit plan with low copayments. Larger monetary and other incentives may be necessary to achieve the desired transfer of prescriptions fills to the mail-order pharmacy and the associated reduction in military pharmacy workload.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 |
| 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
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