Recommendations for Evaluating Compliance and Persistence With Hypertension Therapy Using Retrospective Data
Notice bibliographique
Résumé
ypertension is a major risk factor for cardiovascular and cerebrovascular disease.The World Health Organization Global Burden of Disease Study estimates that nonoptimal blood pressure [(BP) ie, systolic BP of Ͼ115 mm Hg] is responsible annually for 7.1 million deaths and the loss of 64.3 disability-adjusted life years worldwide.1 The associated economic burden of hypertension is also substantial.The average annual medical care cost for individuals with hypertension has been estimated at $3900 (in year 2000 US dollars) in Canada, 2 with similar values ($3787) for the United States.3 The increase in medical care costs is greater for those with moderate-to-severe BP elevation (diastolic BP Ͼ104 mm Hg) than for those with mild disease.4 Although a broad range of hypertension medications have been demonstrated to reduce BP, and BP control is an achievable goal, 5 reports suggest that up to two thirds of patients with hypertension are not successfully treated, that is, achieve BP control.6 -8 According to the Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC-7), BP control rates are far below the "healthy people" goal of 50% set in 2000.9 A major (and modifiable) reason for lack of BP control is failure by patients to use medications as prescribed.10 Appropriate use of medications includes compliance, taking medications at the prescribed frequency/ interval and dose/dosing regimen, and persistence, continuing their use for the specified treatment time period, which, in the case of hypertension therapy, is usually lifelong.11 Poor compliance with hypertension medications is associated with adverse health outcomes.12 Studies have demonstrated that poor BP control is associated with greater healthcare costs.13 For example, in the United States, inadequate control of hypertension has been estimated to result in Ϸ40 000 cardiovascular events, Ͼ8000 cardiovascular disease deaths, and approximately $964 million in direct medical expenditures.14 Similarly, poor compliance and lack of persistence with BP medications are associated with increased health care costs.15,16 Whereas patients who interrupted hypertension therapy had decreased medication costs, they had greater increases in costs for other health care, mainly reflecting increased hospital costs.17 In other disease states, such as diabetes and hypercholesterolemia, whereas increased compliance is associated with increased medication costs (because compliant patients use more medication), overall health care costs decrease because of better disease control and lower rates of adverse outcomes.18 Compliance and persistence can be measured in both retrospective and prospective studies, both of which can provide data on "real world" clinical practice.However, participants in prospective evaluations may not be comparable to broader patient populations.Furthermore, prospective evaluations can potentially introduce biases, particularly in patient behaviors related to compliance and persistence.Although the use of retrospective databases avoids these problems, the lack of consistent methods for evaluation of hypertension treatment compliance and persistence in such studies makes comparisons of results among studies difficult.As presented in a review by Lopatriello et al,19 this lack of standardization in study design, population, and methods can produce tremendous variations in reported compliance with hypertension therapy.In addition, the lack of broadly agreed-on methods creates substantial barriers for evaluating the potential impact of compliance and persistence on BP control.Given the importance of this issue, we have developed a set of recommendations for retrospective studies assessing compliance and persistence in hypertension. Importance of Hypertension Therapy Compliance and Persistence in Medical PracticeNoncompliance is usually considered as missing medication doses in the context of ongoing use, whereas nonpersistence refers to premature discontinuation of treatment.Although compliance and persistence are both components of appropriate medication use, they have differing implications for medical practice.Lack of persistence often occurs when patients discontinue therapy without instructions from or
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,240 | 0,542 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,003 | 0,008 |
| Bibliométrie | 0,017 | 0,017 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,007 |
| Science ouverte | 0,008 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,014 | 0,009 |
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 source (Gemma direct ou Codex distillé), 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 ».