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1.
Am J Transplant ; 20(1): 125-136, 2020 01.
Artículo en Inglés | MEDLINE | ID: mdl-31291507

RESUMEN

This study determined if a SystemCHANGE™ intervention was more efficacious than attention control in increasing immunosuppressive medication adherence and improving outcomes in adult kidney transplant recipients during a 6-month intervention phase and subsequent 6-month (no intervention) maintenance phase. The SystemCHANGE™ intervention taught patients to use person-level quality improvement strategies to link adherence to established daily routines, environmental cues, and supportive people. Eighty-nine patients (average age 51.8 years, 58% male, 61% African American) completed the 6-month intervention phase. Using an intent-to-treat analysis, at 6 months, medication adherence for SystemCHANGE™ (median 0.91, IQR 0.76-0.96) and attention control (median 0.67, IQR 0.52-0.72) patients differed markedly (difference in medians 0.24, 95% CI 0.13-0.30, P < .001). At the conclusion of the subsequent 6-month maintenance phase, the gap between medication adherence for SystemCHANGE™ (median 0.77, IQR 0.56-0.94) and attention control (median 0.60, IQR 0.44-0.73) patients remained large (difference in medians 0.17, 95% CI 0.06-0.33, P = .004). SystemCHANGE™ patients evidenced lower mean creatinine and BUN at 12 months and more infections at 6 and 12 months. This first fully powered RCT testing SystemCHANGE™ to improve and maintain medication adherence in kidney transplant recipients demonstrated large, clinically meaningful improvements in medication adherence. Clinical Trial Registration: NCT02416479.


Asunto(s)
Inmunosupresores/uso terapéutico , Fallo Renal Crónico/terapia , Trasplante de Riñón/métodos , Cumplimiento de la Medicación/estadística & datos numéricos , Grupo de Atención al Paciente/normas , Cooperación del Paciente/estadística & datos numéricos , Femenino , Estudios de Seguimiento , Humanos , Masculino , Persona de Mediana Edad , Pronóstico
2.
Nephrol Nurs J ; 45(2): 171-223, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-30303638

RESUMEN

This article reports a case study of an older adult kidney transplant recipient with poor medication adherence enrolled in an innovative six-month SystemCHANGE intervention that seeks to systematically improve medication adherence by identifying and shaping routines, involving others in routines, and using medication-taking feedback through small, patient-led experiments. Medication adherence increased immediately and was sustained throughout the intervention and maintenance phases. This is the first case study to demonstrate effectiveness of the SystemCHANGE intervention for promoting medication adherence in a kidney transplant recipient. The intervention improved the timing of doses by linking them to a regularly occurring behavior and providing feedback. The SystemCHANGE intervention represents a systems-thinking approach for both provider and patients, and gives healthcare providers the tools needed to assist patients in using habits and routines, and feedback to improve medication taking and timing.


Asunto(s)
Inmunosupresores/administración & dosificación , Trasplante de Riñón , Cumplimiento de la Medicación , Anciano , Humanos
3.
Patient Prefer Adherence ; 17: 369-383, 2023.
Artículo en Inglés | MEDLINE | ID: mdl-36819643

RESUMEN

Purpose: Before the COVID-19 pandemic and the disruptions it brought, medication adherence was already a challenging and complex health behavior. The purpose of this study was to describe patients' interactions in clinic, pharmacy, and home contexts and associated medication management and adherence during the early phase of the COVID-19 pandemic. Patients and Methods: A survey questionnaire was developed using the Medication Adherence Context and Outcomes framework and distributed via social media between May and July 2020 targeting adults taking a daily prescribed medication. Survey questions assessed sociodemographics, interactions with healthcare providers, clinics, pharmacies, medication management experiences, habit strength, and life chaos perceptions during the pandemic. Medication adherence was assessed by the self-report BAASIS© scale to measure implementation, discontinuation, and overall nonadherence. Results: A total of 134 adults from the United States, mean age 50.0 (SD 16.1) years were included in this analysis. Respondents took a median of 3.50 (interquartile range 4) daily medications. Delays in seeing a provider were reported by 47 (35.1%). Pharmacy encounters were impacted; 25 (18.7%) indicated their method for obtaining medication changed. Medication nonadherence was reported among 62 (46.3%) and was significantly greater among those who delayed prescription refills (p=0.032), pillbox users (p=0.047), and those who experienced greater life chaos (p=0.040) and lower habit strength (p<0.001) in the early phase of the pandemic. Conclusion: Although the early phase of the pandemic affected access to care for nearly one-third of the sample, distance-accessible care options and strategies to obtain needed services without being in-person supported respondents medication management. Helpful strategies included provider accessibility, telehealth, home delivery/mail-order, drive-thru's, 90-day supplies, and online/automatic refills. Methods to develop and reestablish habits are critical. Care providers in clinic and pharmacy settings can educate and remind patients about services like distance-accessible technologies and online ordering of medications and establishing routines to support medication adherence.

4.
Bio Protoc ; 12(2): e4301, 2022 Jan 20.
Artículo en Inglés | MEDLINE | ID: mdl-35127991

RESUMEN

The SARS-CoV-2 pandemic and vaccination campaign has illustrated the need for high throughput serological assays to quantitatively measure antibody levels. Here, we present a protocol for a high-throughput colorimetric ELISA assay to detect IgG antibodies against the SARS-CoV-2 spike protein. The assay robustly distinguishes positive from negative samples, while controlling for potential non-specific binding from serum samples. To further eliminate background contributions, we demonstrate a computational pipeline for fitting ELISA titration curves, that produces an extremely sensitive antibody signal metric for quantitative comparisons across samples and time.

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