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1.
Acad Pediatr ; 20(6): 848-856, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32004709

RESUMO

OBJECTIVE: To evaluate economic costs from the health system perspective of an electronic health record-based clinical decision support (CDS) tool, TeenBP, designed to assist in the recognition and management of hypertension in youth. METHODS: Twenty primary care clinics within an integrated health system were randomized to the TeenBP CDS or usual care (UC), with patient enrollment from 4/15/14 to 4/14/16. The 12-month change in standardized medical care costs for insured patients aged 10 to 17 years without prior hypertension were calculated for each study arm. The primary analysis compared patients with ≥1 visit with blood pressure (BP) ≥95th percentile (isolated hypertensive BP), and secondary analyses compared patients with ≥3 visits within one year with BP ≥95th percentile (incident hypertension). Generalized estimating equation models estimated the difference-in-differences in costs between groups over time. RESULTS: Among 925 insured patients with an isolated hypertensive BP, the pre-to-post change in overall costs averaged $22 more for TeenBP CDS versus UC patients over 12 months, but this difference was not statistically significant (P = .723). Among 159 insured patients with incident hypertension, the pre-to-post change in overall costs over 12 months was higher by $227 per person on average for TeenBP CDS versus UC patients, but this difference also was not statistically significant (P = .313). CONCLUSIONS: The TeenBP CDS intervention was previously found to significantly improve identification and management of hypertensive BP in youth, and in this study, we find that this tool did not significantly increase care costs in its first 12 months of clinical use.


Assuntos
Sistemas de Apoio a Decisões Clínicas/economia , Registros Eletrônicos de Saúde/economia , Custos de Cuidados de Saúde/estatística & dados numéricos , Hipertensão/economia , Adolescente , Criança , Custos e Análise de Custo , Prestação Integrada de Cuidados de Saúde , Feminino , Humanos , Masculino , Atenção Primária à Saúde
2.
J Gen Intern Med ; 30(11): 1665-72, 2015 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-25952653

RESUMO

BACKGROUND: It is important to understand which components of successful multifaceted interventions are responsible for study outcomes, since some components may be more important contributors to the intervention effect than others. OBJECTIVE: We conducted a mediation analysis to determine which of seven factors had the greatest effect on change in systolic blood pressure (BP) after 6 months in a trial to improve hypertension control. DESIGN: The study was a preplanned secondary analysis of a cluster-randomized clinical trial. Eight clinics in an integrated health system were randomized to provide usual care to their patients (n = 222), and eight were randomized to provide a telemonitoring intervention (n = 228). PARTICIPANTS: Four hundred three of 450 trial participants completing the 6-month follow-up visit were included. INTERVENTIONS: Intervention group participants received home BP telemonitors and transmitted measurements to pharmacists, who adjusted medications and provided advice to improve adherence to medications and lifestyle modification via telephone visits. MAIN MEASURES: Path analytic models estimated indirect effects of the seven potential mediators of intervention effect (defined as the difference between the intervention and usual care groups in change in systolic BP from baseline to 6 months). The potential mediators were change in home BP monitor use, number of BP medication classes, adherence to BP medications, physical activity, salt intake, alcohol use, and weight. KEY RESULTS: The difference in change in systolic BP was 11.3 mmHg. The multivariable mediation model explained 47 % (5.3 mmHg) of the intervention effect. Nearly all of this was mediated by two factors: an increase in medication treatment intensity (24 %) and increased home BP monitor use (19 %). The other five factors were not significant mediators, although medication adherence and salt intake improved more in the intervention group than in the usual care group. CONCLUSIONS: Most of the explained intervention effect was attributable to the combination of self-monitoring and medication intensification. High adherence at baseline and the relatively low intensity of resources directed toward lifestyle change may explain why these factors did not contribute to the improvement in BP.


Assuntos
Monitorização Ambulatorial da Pressão Arterial/métodos , Hipertensão/terapia , Atenção Primária à Saúde/métodos , Telemedicina/métodos , Idoso , Consumo de Bebidas Alcoólicas , Anti-Hipertensivos/uso terapêutico , Pressão Sanguínea/efeitos dos fármacos , Administração de Caso , Terapia Combinada , Feminino , Humanos , Hipertensão/diagnóstico , Hipertensão/fisiopatologia , Estilo de Vida , Masculino , Adesão à Medicação/estatística & dados numéricos , Pessoa de Meia-Idade , Atividade Motora , Cloreto de Sódio na Dieta/administração & dosagem , Resultado do Tratamento
3.
JAMA ; 310(1): 46-56, 2013 Jul 03.
Artigo em Inglês | MEDLINE | ID: mdl-23821088

RESUMO

IMPORTANCE: Only about half of patients with high blood pressure (BP) in the United States have their BP controlled. Practical, robust, and sustainable models are needed to improve BP control in patients with uncontrolled hypertension. OBJECTIVES: To determine whether an intervention combining home BP telemonitoring with pharmacist case management improves BP control compared with usual care and to determine whether BP control is maintained after the intervention is stopped. DESIGN, SETTING, AND PATIENTS: A cluster randomized clinical trial of 450 adults with uncontrolled BP recruited from 14,692 patients with electronic medical records across 16 primary care clinics in an integrated health system in Minneapolis-St Paul, Minnesota, with 12 months of intervention and 6 months of postintervention follow-up. INTERVENTIONS: Eight clinics were randomized to provide usual care to patients (n = 222) and 8 clinics were randomized to provide a telemonitoring intervention (n = 228). Intervention patients received home BP telemonitors and transmitted BP data to pharmacists who adjusted antihypertensive therapy accordingly. MAIN OUTCOMES AND MEASURES: Control of systolic BP to less than 140 mm Hg and diastolic BP to less than 90 mm Hg (<130/80 mm Hg in patients with diabetes or chronic kidney disease) at 6 and 12 months. Secondary outcomes were change in BP, patient satisfaction, and BP control at 18 months (6 months after intervention stopped). RESULTS: At baseline, enrollees were 45% women, 82% white, mean (SD) age was 61.1 (12.0) years, and mean systolic BP was 148 mm Hg and diastolic BP was 85 mm Hg. Blood pressure was controlled at both 6 and 12 months in 57.2% (95% CI, 44.8% to 68.7%) of patients in the telemonitoring intervention group vs 30.0% (95% CI, 23.2% to 37.8%) of patients in the usual care group (P = .001). At 18 months (6 months of postintervention follow-up), BP was controlled in 71.8% (95% CI, 65.0% to 77.8%) of patients in the telemonitoring intervention group vs 57.1% (95% CI, 51.5% to 62.6%) of patients in the usual care group (P = .003). Compared with the usual care group, systolic BP decreased more from baseline among patients in the telemonitoring intervention group at 6 months (-10.7 mm Hg [95% CI, -14.3 to -7.3 mm Hg]; P<.001), at 12 months (-9.7 mm Hg [95% CI, -13.4 to -6.0 mm Hg]; P<.001), and at 18 months (-6.6 mm Hg [95% CI, -10.7 to -2.5 mm Hg]; P = .004). Compared with the usual care group, diastolic BP decreased more from baseline among patients in the telemonitoring intervention group at 6 months (-6.0 mm Hg [95% CI, -8.6 to -3.4 mm Hg]; P<.001), at 12 months (-5.1 mm Hg [95% CI, -7.4 to -2.8 mm Hg]; P<.001), and at 18 months (-3.0 mm Hg [95% CI, -6.3 to 0.3 mm Hg]; P = .07). CONCLUSIONS AND RELEVANCE: Home BP telemonitoring and pharmacist case management achieved better BP control compared with usual care during 12 months of intervention that persisted during 6 months of postintervention follow-up. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00781365.


Assuntos
Monitorização Ambulatorial da Pressão Arterial , Administração de Caso , Hipertensão/terapia , Farmacêuticos , Telemedicina/métodos , Idoso , Pressão Sanguínea , Terapia Combinada , Diástole , Feminino , Seguimentos , Humanos , Masculino , Pessoa de Meia-Idade , Satisfação do Paciente , Sístole , Resultado do Tratamento
4.
Clin Med Res ; 11(2): 54-65, 2013 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-23580788

RESUMO

OBJECTIVE: Despite evidence indicating therapeutic benefit for adhering to a prescribed regimen, many patients do not take their medications as prescribed. Non-adherence often leads to morbidity and to higher health care costs. The objective of the study was to assess patient characteristics associated with medication adherence across eight diseases. DESIGN: Retrospective data from a repository within an integrated health system was used to identify patients ≥18 years of age with ICD-9-CM codes for primary or secondary diagnoses for any of eight conditions (depression, hypertension, hyperlipidemia, diabetes, asthma or chronic obstructive pulmonary disease, multiple sclerosis, cancer, or osteoporosis). Electronic pharmacy data was then obtained for 128 medications used for treatment. METHODS: Medication possession ratios (MPR) were calculated for those with one condition and one drug (n=15,334) and then for the total population having any of the eight diseases (n=31,636). The proportion of patients adherent (MPR ≥80%) was summarized by patient and living-area (census) characteristics. Bivariate associations between drug adherence and patient characteristics (age, sex, race, education, and comorbidity) were tested using contingency tables and chi-square tests. Logistic regression analysis examined predictors of adherence from patient and living area characteristics. RESULTS: Medication adherence for those with one condition was higher in males, Caucasians, older patients, and those living in areas with higher education rates and higher income. In the total population, adherence increased with lower comorbidity and increased number of medications. Substantial variation in adherence was found by condition with the lowest adherence for diabetes (51%) and asthma (33%). CONCLUSIONS: The expectation of high adherence due to a covered pharmacy benefit, and to enhanced medication access did not hold. Differences in medication adherence were found across condition and by patient characteristics. Great room for improvement remains, specifically for diabetes and asthma.


Assuntos
Asma/tratamento farmacológico , Comorbidade , Depressão/tratamento farmacológico , Diabetes Mellitus/tratamento farmacológico , Adesão à Medicação/estatística & dados numéricos , Cooperação do Paciente/estatística & dados numéricos , Grupos Raciais/estatística & dados numéricos , Adolescente , Adulto , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Asma/etnologia , Depressão/etnologia , Diabetes Mellitus/etnologia , Escolaridade , Feminino , Humanos , Hiperlipidemias/tratamento farmacológico , Hiperlipidemias/etnologia , Hipertensão/tratamento farmacológico , Hipertensão/etnologia , Masculino , Adesão à Medicação/etnologia , Pessoa de Meia-Idade , Cooperação do Paciente/etnologia , Grupos Raciais/etnologia , Estudos Retrospectivos , Fatores Sexuais , Adulto Jovem
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