Clinicians and patients perspectives on follow-up care and eHealth support after allogeneic hematopoietic stem cell transplantation: A mixed-methods contextual analysis as part of the SMILe study.

PURPOSE: We report on our contextual analysis's methodology, as a first step of an implementation science project aiming to develop, implement, and test the effectiveness of an integrated model of care in SteM-cell transplantatIon faciLitated by eHealth (SMILe). METHODS: We applied an explanatory sequential mixed-methods design including clinicians and patients of the University Hospital Freiburg, Germany. Data were collected from 3/2017 to 1/2018 via surveys in 5 clinicians and 60 adult allogeneic stem-cell transplantation patients. Subsequently, we conducted 3 clinician focus groups and 10 patient interviews. Data analysis followed a 3-step process: (1) creating narrative descriptions, tables, and maps; (2) mapping key observational findings per dimension of the eHealth-enhanced Chronic-Care Model; (3) reflecting on how findings affect our choice of implementation strategies. RESULTS: Current clinical practice is mostly acute care driven, with no interdisciplinarity and weak chronic illness management. Gaps were apparent in the dimensions of self-management support and delivery-system design. Health behaviors that would profit from support include medication adherence, physical activity and infection prevention. The theme "being alone and becoming an expert" underpinned patients need to increase support in hospital-to-home transitions. Patients reported insecurity about recognizing, judging and acting upon symptoms. The theme "eHealth as connection not replacement" underscores the importance of eHealth augmenting, not supplanting human contact. Synthesis of our key observational findings informed eight implementation strategies. CONCLUSION: Stakeholders are willing towards a chronic care-focused approach and open for eHealth support. The contextual information provides a basis for the SMILe model's development and implementation.

Correlates and outcomes of alcohol use after single solid organ transplantation: A systematic review and meta-analysis.

BACKGROUND: Reviews on alcohol use in transplant recipients focus on liver recipients and their risk of post-transplant rejection, but do not assess alcohol use in kidney, heart, or lung transplant recipients. This systematic review and meta-analysis aims to synthesize the evidence on correlates and outcomes of any alcohol use and at-risk drinking after solid organ transplantation (Tx). METHODS: We searched 4 databases for quantitative studies in adult heart, liver, kidney and lung Tx recipients, investigating associations between post-Tx alcohol use and correlates and/or clinical, economic or quality of life outcomes. Paper selection, data extraction and quality assessment were performed by 2 reviewers independently. A pooled odds ratio (OR) was computed for each correlate/outcome reported ≥5 times. RESULTS: Of the 5331 studies identified, 76 were included in this systematic review (93.3% on liver Tx; mean sample size 148.9 (SD = 160.2); 71.9% male; mean age 48.9 years (SD = 6.5); mean time post-Tx 57.7 months (SD = 23.1)). On average, 23.6% of patients studied used alcohol post-transplant. Ninety-three correlates of any post-Tx alcohol use were identified, and 9 of the 19 pooled ORs were significantly associated with a higher odds for any post-Tx alcohol use: male gender, being employed post-transplant, smoking pre-transplant, smoking post-transplant, a history of illicit drug use, having first-degree relatives who have alcohol-related problems, sobriety <6 months prior to transplant, a history of psychiatric illness, and having received treatment for alcohol-related problems pre-transplant. On average 15.1% of patients had at-risk drinking. A pooled OR was calculated for 6 of the 47 correlates of post-Tx at risk drinking investigated, of which pre-transplant smoking was the only correlate being significantly associated with this behavior. None of the outcomes investigated were significantly associated with any use or at-risk drinking. CONCLUSION: Correlates of alcohol use remain under-investigated in solid organ transplant recipients other than liver transplantation. Further research is needed to determine whether any alcohol use or at-risk drinking is associated with poorer post-transplant outcomes. Our meta-analysis highlights avenues for future research of higher methodological quality and improved clinical care. PROTOCOL REGISTRATION: PROSPERO protocol CRD42015003333.

The international prevalence and variability of nonadherence to the nonpharmacologic treatment regimen after heart transplantation: Findings from the cross-sectional BRIGHT study.

INTRODUCTION: Heart transplant (HTx) recipients need to follow a complex therapeutic regimen. We assessed the international prevalence and variability in nonadherence to six nonpharmacologic treatment components (physical activity, sun protection, diet, alcohol use, nonsmoking, and outpatient follow-up visits). METHODS: We used self-report data of 1397 adult HTx recipients from the 36-HTx-center, 11-country, 4-continent, cross-sectional BRIGHT study (ClinicalTrials.gov ID: NCT01608477). The nonadherence definitions used were as follows: Physical activity: <3 times/wk 20 minutes' vigorous activity, <5 times/wk 30 minutes' moderate activity, or <5 times/wk a combination of either intensity; Sun protection: not "always" applying any sun protection; Diet: not "often" or "always" following recommended diet(s); Alcohol use: >1 alcoholic drink/d (women) or >2 drinks/d (men); Smoking: current smokers or stopped <1 year before; Follow-up visits: missing ≥1 of the last 5 outpatient follow-up visits. Overall prevalence figures were adjusted to avoid over- or underrepresentation of countries. Between-country variability was assessed within each treatment component via chi-square testing. RESULTS: The adjusted study-wide nonadherence prevalence figures were as follows: 47.8% for physical activity (95% CI [45.2-50.5]), 39.9% for sun protection (95% CI [37.3-42.5]), 38.2% for diet recommendations (95% CI [35.1-41.3]), 22.9% for alcohol consumption (95% CI [20.8-25.1]), 7.4% for smoking cessation (95% CI [6.1-8.7]), and 5.7% for follow-up visits (95% CI [4.6-6.9]). Significant variability was observed between countries in all treatment components except follow-up visits. CONCLUSION: Nonadherence to the post-HTx nonpharmacologic treatment regimen is prevalent and shows significant variability internationally, suggesting a need for tailored adherence-enhancing interventions.

Multilevel factors are associated with immunosuppressant nonadherence in heart transplant recipients: The international BRIGHT study.

Factors at the level of family/healthcare worker, organization, and system are neglected in medication nonadherence research in heart transplantation (HTx). The 4-continent, 11-country cross-sectional Building Research Initiative Group: Chronic Illness Management and Adherence in Transplantation (BRIGHT) study used multistaged sampling to examine 36 HTx centers, including 36 HTx directors, 100 clinicians, and 1397 patients. Nonadherence to immunosuppressants-defined as any deviation in taking or timing adherence and/or dose reduction-was assessed using the Basel Assessment of Adherence to Immunosuppressive Medications Scale© (BAASIS© ) interview. Guided by the Integrative Model of Behavioral Prediction and Bronfenbrenner's ecological model, we analyzed factors at these multiple levels using sequential logistic regression analysis (6 blocks). The nonadherence prevalence was 34.1%. Six multilevel factors were associated independently (either positively or negatively) with nonadherence: patient level: barriers to taking immunosuppressants (odds ratio [OR]: 11.48); smoking (OR: 2.19); family/healthcare provider level: frequency of having someone to help patients read health-related materials (OR: 0.85); organization level: clinicians reporting nonadherent patients were targeted with adherence interventions (OR: 0.66); pickup of medications at physician's office (OR: 2.31); and policy level: monthly out-of-pocket costs for medication (OR: 1.16). Factors associated with nonadherence are evident at multiple levels. Improving medication nonadherence requires addressing not only the patient, but also family/healthcare provider, organization, and policy levels.

The Swiss Transplant Cohort Study's framework for assessing lifelong psychosocial factors in solid-organ transplants.

BACKGROUND: Understanding outcomes after transplant requires a biopsychosocial model that includes biomedical and psychosocial factors. The latter, to date, are assessed only in a limited way as part of transplant registries or cohort studies. The Swiss Transplant Cohort Study (STCS) is a nationwide open cohort study (starting May 2008) to systematically and prospectively assess psychosocial factors. This article describes the framework underpinning STCS's psychosocial assessment. METHODS: The STCS framework was adapted from the multidimensional conceptual perspective of Dew et al to describe transplant psychosocial domains and specific outcomes by adding a time perspective, a system perspective, and interaction among domains. RESULTS: We propose a multidimensional, multilevel biopsychosocial framework representing mutually influencing domains from before to after transplant, and exemplify each domain by factors included in STCS and their measurement. The transplant patient, centrally positioned, is described by clinical and sociodemographic characteristics (eg, socioeconomic status, educational, professional, and relationship status). The following psychosocial domains further describe the patient: (1) physical/functional (eg, perceived health status, sleep quality, daytime sleepiness), (2) psychological (eg, depression, stress), (3) behavioral (eg, medication adherence, smoking, drug use, physical activity, sun protection), (4) social (eg, work capacity/return to work), and (5) global quality of life. Factors associated with health care system level (eg, trust in transplant team) are also included in the model. CONCLUSION: The STCS's psychosocial framework provides a basis for studying the interplay of biomedical, sociodemographic, psychosocial, behavioral, and health care system factors in view of transplant outcomes and therefore has the potential to guide biopsychosocial transplant research.