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1.
J Gen Intern Med ; 35(3): 724-731, 2020 03.
Artículo en Inglés | MEDLINE | ID: mdl-31677102

RESUMEN

BACKGROUND: Older adults often take multiple medications, leading to a myriad of medication-related problems. Addressing these problems requires thoughtful approaches that align with patients' perspectives and experiences. OBJECTIVE: To (1) identify and categorize medication-related problems from the patient perspective and (2) understand patient and clinician attitudes toward these problems and experiences with addressing these problems. DESIGN: Qualitative, semi-structured interviews with patients and focus groups with physicians and pharmacists. PARTICIPANTS: Twenty older adults recruited from an academic medical center and from a community senior center; 14 primary care physicians and 6 pharmacists affiliated with an academic medical center. APPROACH: Hybrid deductive-inductive thematic analysis. KEY RESULTS: Older adults identified a variety of medication-related problems that could be classified into four broad categories: (1) obtaining medications (e.g., problems with cost and insurance coverage); (2) taking medications (e.g., organization and remembering to take pills); (3) medication effects, including side effects and concerns over lack of effectiveness; and (4) communication and care coordination, including information related to medications. Many of the problems described by older adults were framed within the person's socioemotional context, including the impact of medications on interpersonal relationships, emotional wellbeing, and activities that add meaning and quality to life. In contrast, clinicians almost exclusively focused on discrete medication issues without reference to this larger context and expressed relatively little interest in learning more about their patients' perspectives. CONCLUSIONS: Older adults experience medication-related problems as inseparable from their broader life context. Incorporating the social and emotional context of medications and related communication into a problem-focused framework can guide clinicians in specific actions and interventions to address medication-related problems from the patient perspective.


Asunto(s)
Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos , Farmacéuticos , Anciano , Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos/epidemiología , Femenino , Grupos Focales , Humanos , Atención Primaria de Salud , Investigación Cualitativa
2.
J Manag Care Spec Pharm ; 23(2): 163-169, 2017 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-28125363

RESUMEN

BACKGROUND: Anticancer drug prices have increased by an average of 12% each year from 1996 to 2014. A major concern is that the increasing cost and responsibility of evaluating treatment options are being shifted to patients. This research compared 2 value-based pricing models that were being considered for use at the University of California, San Francisco (UCSF) Medical Center to address the growing burden of high-cost cancer drugs while improving patient-centered care. PROGRAM DESCRIPTION: The Medication Outcomes Center (MOC) in the Department of Clinical Pharmacy, University of California, San Francisco (UCSF), School of Pharmacy focuses on assessing the value of medication-related health care interventions and disseminating findings to the UCSF Medical Center. The High Cost Oncology Drug Initiative at the MOC aims to assess and adopt tools for the critical assessment and amelioration of high-cost cancer drugs. The American Society of Clinical Oncology (ASCO) Value Framework (2016 update) and a cost-effectiveness analysis (CEA) framework were identified as potential tools for adoption. To assess 1 prominent value framework, the study investigators (a) asked 8 clinicians to complete the ASCO Value Framework for 11 anticancer medications selected by the MOC; (b) reviewed CEAs assessing the drugs; (c) generated descriptive statistics; and (d) analyzed inter-rater reliability, convergence validity, and ranking consistency. OBSERVATIONS: On the scale of -20 to 180, the mean ASCO net health benefit (NHB) total score across 11 drugs ranged from 7.6 (SD = 7.8) to 53 (SD = 9.8). The Kappa coefficient (κ) for NHB scores across raters was 0.11, which is categorized as "slightly reliable." The combined κ score was 0.22, which is interpreted as low to fair inter-rater reliability. Convergent validity indicates that the correlation between NHB scores and CEA-based incremental cost-effectiveness ratios (ICERs) was low (-0.215). Ranking of ICERs, ASCO scores, and wholesale acquisition costs indicated different results between frameworks. IMPLICATIONS: The ASCO Value Framework requires further specificity before use in a clinical setting, since it currently results in low inter-rater reliability and validity. Furthermore, ASCO scores were unable to discriminate between drugs providing the most and least value. RECOMMENDATIONS: The evaluation provides specific areas of weakness that can be addressed in future updates of the ASCO framework to improve usability. Meanwhile, the UCSF Medical Center should rely on CEAs, which are highly accessible for the highlighted cancer drugs. The MOC role can include summarizing and disseminating available CEA studies for interpretation by clinicians and financial counselors around drug value. DISCLOSURES: Funding for this research was contributed by the University of California, San Francisco, Medical Center Campus Strategic Initiative Program. The authors have no conflicts of interest to disclose. Study concept and design were contributed primarily by Wilson, along with Wang and Patel. Kim, Dacey, and Yuen collected the data, and data interpretation was performed by Wilson and Lin. The manuscript was written by Wilson, Lin, Wang, and Tran and revised by Lin, Redondi, Brodowy, and Kroon.


Asunto(s)
Centros Médicos Académicos/estadística & datos numéricos , Antineoplásicos/economía , Antineoplásicos/uso terapéutico , Neoplasias/tratamiento farmacológico , Neoplasias/economía , Análisis Costo-Beneficio/economía , Costos de los Medicamentos/estadística & datos numéricos , Humanos , Oncología Médica/economía , Oncología Médica/estadística & datos numéricos , Atención Dirigida al Paciente/economía , Atención Dirigida al Paciente/estadística & datos numéricos , Reproducibilidad de los Resultados
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