Trust in the Transplant Team Associated With the Level of Chronic Illness Management-A Secondary Data Analysis of the International BRIGHT Study.

A trustful relationship between transplant patients and their transplant team (interpersonal trust) is essential in order to achieve positive health outcomes and behaviors. We aimed to 1) explore variability of trust in transplant teams; 2) explore the association between the level of chronic illness management and trust; 3) investigate the relationship of trust on behavioral outcomes. A secondary data analysis of the BRIGHT study (ID: NCT01608477; https://clinicaltrials.gov/ct2/show/NCT01608477?id=NCT01608477&rank=1) was conducted, including multicenter data from 36 heart transplant centers from 11 countries across four different continents. A total of 1,397 heart transplant recipients and 100 clinicians were enrolled. Trust significantly varied among the transplant centers. Higher levels of chronic illness management were significantly associated with greater trust in the transplant team (patients: AOR= 1.85, 95% CI = 1.47-2.33, p < 0.001; clinicians: AOR = 1.35, 95% CI = 1.07-1.71, p = 0.012). Consultation time significantly moderated the relationship between chronic illness management levels and trust only when clinicians spent ≥30 min with patients. Trust was significantly associated with better diet adherence (OR = 1.34, 95%CI = 1.01-1.77, p = 0.040). Findings indicate the relevance of trust and chronic illness management in the transplant ecosystem to achieve improved transplant outcomes. Thus, further investment in re-engineering of transplant follow-up toward chronic illness management, and sufficient time for consultations is required.

Quality of life of patients after kidney transplant: ADHERE Brazil multicenter cross-sectional study.

BACKGROUND: Quality of life (QoL) is a measure to evaluate kidney transplant (KT) results. AIM: To describe the QoL profile in a larger sample of Brazilian patients who underwent KT according to age, sex, and access to KT. METHODS: We conducted a secondary data analysis of the ADHERE BRAZIL multicenter cross-sectional study including 1105 patients from 20 centers, considering KT access region and transplant activity. QoL was assessed by the WHOQOL-BREF. Data was compared using Generalized Estimating Equations. RESULTS: Overall, 58.5 % of the patients were men, mean age of 47.6 ± 12.6 years. The general QoL score was 81 ± 15.1, 58.6 ± 11.6 for physical, 65.5 ± 11.4 for psychological, 68.3 ± 17.1 for social relationships, and 64.2 ± 13.3 for environmental domain. Higher QoL scores were observed in men compared to women in three WHOQOL-BREF domains: psychological (OR:2.62; CI, 1.29 ̶ 3.95, p < 0.0001), social relationships (OR:3.21; CI, 1.2 ̶ 5.23, p = 0.002) and environmental (OR:3.79; CI:2.23 ̶ 5.35, p < 0.0001). Younger patients (18-44 years) had higher scores in the psychological (OR:-2.69; CI, -4.13 ̶ -1.25; p < 0.001; OR:-3.52; CI, -5.39 ̶ -1.66; p < 0.001) and social (OR:-3.46; CI, -5.64 ̶ -1.27; p = 0.002; OR:-7.17; CI, -10 ̶ -4.35; p < 0.0001) domains than older ones (45-59 and > 60 years, respectively). Patients from higher KT access region had higher scores in environmental domain (OR:3.53; CI, 0.28 ̶ 6.78; p = 0.033). CONCLUSIONS: Featuring the results of KT under patient view, the physical and social relationships domains were the most and least affected, respectively. Lower QoL subgroups (females and age > 45 years) should be targeted in future multi-professional interventions.

Prevalence and Patient-Level Correlates of Intentional Non-Adherence to Immunosuppressive Medication After Heart-Transplantation-Findings From the International BRIGHT Study.

After heart transplantation (HTx), non-adherence to immunosuppressants (IS) is associated with poor outcomes; however, intentional non-adherence (INA) is poorly understood regarding its international variability in prevalence, contributing factors and impact on outcomes. We investigated (1) the prevalence and international variability of INA, (2) patient-level correlates of INA, and (3) relation of INA with clinical outcomes. Secondary analysis of data from the BRIGHT study-an international multi-center, cross-sectional survey examining multi-level factors of adherence in 1,397 adult HTx recipients. INA during the implementation phase, i.e., drug holiday and dose alteration, was measured using the Basel Assessment of Adherence to Immunosuppressive Medications Scale© (BAASIS©). Descriptive and inferential analysis was performed with data retrieved through patient interview, patient self-report and in clinical records. INA prevalence was 3.3% (n = 46/1,397)-drug holidays: 1.7% (n = 24); dose alteration: 1.4% (n = 20); both: 0.1% (n = 2). University-level education (OR = 2.46, CI = 1.04-5.83), insurance not covering IS costs (OR = 2.21, CI = 1.01-4.87) and barriers (OR = 4.90, CI = 2.73-8.80) were significantly associated with INA; however, clinical outcomes were not. Compared to other single-center studies, this sample's INA prevalence was low. More than accessibility or financial concerns, our analyses identified patient-level barriers as INA drivers. Addressing patients' IS-related barriers, should decrease INA.

Differences in medication adherence by sex and organ type among adolescent and young adult solid organ transplant recipients.

BACKGROUND: Identification of differences in medication adherence by sex or organ type may help in planning interventions to optimize outcomes. We compared immunosuppressive medication adherence between males and females, and between kidney, liver and heart transplant recipients. METHODS: This multicenter study of prevalent kidney, liver and heart transplant recipients 14-25 years assessed adherence 3 times (0, 3, 6 months post-enrollment) with the BAASIS self-report tool. At each visit, participants were classified as adherent if they missed no doses in the prior 4 weeks and non-adherent otherwise. Adherence was also assessed using the coefficient of variation (CV) of tacrolimus trough levels; CV < 30% was classified as adherent. We used multivariable mixed effects logistic regression models adjusted for potential confounders to compare adherence by sex and by organ. RESULTS: Across all visits, males (n = 150, median age 20.4 years, IQR 17.2-23.3) had lower odds of self-reported adherence than females (n = 120, median age 19.8 years, IQR 17.1-22.7) (OR 0.41, 95% CI 0.21-0.80) but higher odds of adherence by tacrolimus CV (OR 2.50, 95% CI 1.30-4.82). No significant differences in adherence (by self-report or tacrolimus CV) were noted between the 184 kidney, 58 liver, and 28 heart recipients. CONCLUSION: Females show better self-reported adherence than males but greater variability in tacrolimus levels. Social desirability bias, more common in females than males, may contribute to better self-reported adherence among females. Higher tacrolimus variability among females may reflect biologic differences in tacrolimus metabolism between males and females rather than sex differences in adherence. There were no significant differences in adherence by organ type.

Population health management in Belgium: a call-to-action and case study.

BACKGROUND: Although there are already success stories, population health management in Belgium is still in its infancy. A health system transformation approach such as population health management may be suited to address the public health issue of atherosclerotic cardiovascular disease, as this is one of the main causes of mortality in Belgium. This article aims to raise awareness about population health management in Belgium by: (a) eliciting barriers and recommendations for its implementation as perceived by local stakeholders; (b) developing a population health management approach to secondary prevention of atherosclerotic cardiovascular disease; and (c) providing a roadmap to introduce population health management in Belgium. METHODS: Two virtual focus group discussions were organized with 11 high-level decision makers in medicine, policy and science between October and December 2021. A semi-structured guide based on a literature review was used to anchor discussions. These qualitative data were studied by means of an inductive thematic analysis. RESULTS: Seven inter-related barriers and recommendations towards the development of population health management in Belgium were identified. These related to responsibilities of different layers of government, shared responsibility for the health of the population, a learning health system, payment models, data and knowledge infrastructure, collaborative relationships and community involvement. The introduction of a population health management approach to secondary prevention of atherosclerotic cardiovascular disease may act as a proof-of-concept with a view to roll out population health management in Belgium. CONCLUSIONS: There is a need to instill a sense of urgency among all stakeholders to develop a joint population-oriented vision in Belgium. This call-to-action requires the support and active involvement of all Belgian stakeholders, both at the national and regional level.

Moving from the Trial to the Real World: Improving Medication Adherence Using Insights of Implementation Science.

Medication nonadherence is a serious public health concern. Although there are promising interventions that improve medication adherence, most interventions are developed and tested in tightly controlled research environments that are dissimilar from the real-world settings where the majority of patients receive health care. Implementation science methods have the potential to facilitate and accelerate the translation shift from the trial world to the real world. We demonstrate their potential by reviewing published, high-quality medication adherence studies that could potentially be translated into clinical practice yet lack essential implementation science building blocks. We further illustrate this point by describing an adherence study that demonstrates how implementation science creates a junction between research and real-world settings. This article is a call to action for researchers, clinicians, policy makers, pharmaceutical companies, and others involved in the delivery of care to adopt the implementation science paradigm in the scale-up of adherence (research) programs.

Methodological approaches to study context in intervention implementation studies: an evidence gap map.

BACKGROUND: Within implementation science studies, contextual analysis is increasingly recognized as foundational to interventions' successful and sustainable implementation. However, inconsistencies between methodological approaches currently limit progress in studying context and guidance to standardize the use of those approaches is scant. Therefore, this study's objective was to systematically review and map current methodological approaches to contextual analysis in intervention implementation studies. The results would help us both to systematize the process of contextual analysis and identify gaps in the current evidence. METHODS: We conducted an evidence gap map (EGM) based on literature data via a stepwise approach. First, using an empirically developed search string, we randomly sampled 20% of all intervention implementation studies available from PubMed per year (2015-2020). Second, we assessed included studies that conducted a contextual analysis. Data extraction and evaluation followed the Basel Approach for CoNtextual ANAlysis (BANANA), using a color-coded rating scheme. Also based on BANANA and on the Context and Implementation of Complex Interventions (CICI) framework-an implementation framework that pays ample attention to context- we created visual maps of various approaches to contextual analysis. RESULTS: Of 15, 286 identified intervention implementation studies and study protocols, 3017 were screened for inclusion. Of those, 110 warranted close examination, revealing 22% that reported on contextual analysis. Only one study explicitly applied a framework for contextual analysis. Data were most commonly collected via surveys (n = 15) and individual interviews (n = 13). Ten studies reported mixed-methods analyses. Twenty-two assessed meso-level contextual and setting factors, with socio-cultural aspects most commonly studied. Eighteen described the use of contextual information for subsequent project phases (e.g., intervention development/adaption, selecting implementation strategies). Nine reported contextual factors' influences on implementation and/or effectiveness outcomes. CONCLUSIONS: This study describes current approaches to contextual analysis in implementation science and provides a novel framework for evaluating and mapping it. By synthesizing our findings graphically in figures, we provide an initial evidence base framework that can incorporate new findings as necessary. We strongly recommend further development of methodological approaches both to conduct contextual analysis and to systematize the reporting of it. These actions will increase the quality and consistency of implementation science research.

A National Survey Comparing Patients' and Transplant Professionals' Research Priorities in the Swiss Transplant Cohort Study.

We aimed to identify, assess, compare and map research priorities of patients and professionals in the Swiss Transplant Cohort Study. The project followed 3 steps. 1) Focus group interviews identified patients' (n = 22) research priorities. 2) A nationwide survey assessed and compared the priorities in 292 patients and 175 professionals. 3) Priorities were mapped to the 4 levels of Bronfenbrenner's ecological framework. The 13 research priorities (financial pressure, medication taking, continuity of care, emotional well-being, return to work, trustful relationships, person-centredness, organization of care, exercise and physical fitness, graft functioning, pregnancy, peer contact and public knowledge of transplantation), addressed all framework levels: patient (n = 7), micro (n = 3), meso (n = 2), and macro (n = 1). Comparing each group's top 10 priorities revealed that continuity of care received highest importance rating from both (92.2% patients, 92.5% professionals), with 3 more agreements between the groups. Otherwise, perspectives were more diverse than congruent: Patients emphasized patient level priorities (emotional well-being, graft functioning, return to work), professionals those on the meso level (continuity of care, organization of care). Patients' research priorities highlighted a need to expand research to the micro, meso and macro level. Discrepancies should be recognized to avoid understudying topics that are more important to professionals than to patients.

Factors associated with health-related quality of life among home-dwelling older adults aged 75 or older in Switzerland: a cross-sectional study.

BACKGROUND: HRQoL is an indicator of individuals' perception of their overall health, including social and environmental aspects. As a multidimensional concept, HRQoL can be influenced by a multitude of factors. Studies of HRQoL and factors associated with it among home-dwelling older adults have often been limited to inpatient settings or to a sub-population with a chronic disease. Studying HRQoL and its correlating factors among this population, by providing an ecological lens on factors beyond the individual level, can provide a better understanding of the construct and the role of the environment on how they perceive their HRQoL. Thus, we aimed to assess the HRQoL and investigate the correlates of HRQOL among home-dwelling older adults, guided by the levels of the ecological model. METHODS: This is a cross-sectional population survey conducted in 2019 in Canton Basel-Landschaft, in northwestern Switzerland, and includes a sample of 8786 home-dwelling older adults aged 75 and above. We assessed HRQoL by using the EQ-index and the EQ-VAS. The influence of independent variables at the macro, meso and micro level on HRQoL was tested using Tobit multiple linear regression modelling. RESULTS: We found that having a better socio-economic status as denoted by higher income, having supplementary insurance and a higher level of education were all associated with a better HRQoL among home-dwelling older adults. Furthermore, being engaged in social activities was also related to an improved HRQoL. On the other hand, older age, female gender, presence of multimorbidity and polypharmacy as well as social isolation and loneliness were found to all have a negative impact on HRQoL. CONCLUSIONS: Understanding factors related to HRQoL by using an ecological lens can help identify factors beyond the individual level that impact the HRQoL of home-dwelling older adults. Our study emphasises the importance of social determinants of health and potential disparities that exists, encouraging policymakers to focus on policies to reduce socio-economic disparities using a life-course approach, which consequently could also impact HRQoL in later stages of life.

A multi-level perspective on perceived unmet needs for home support in home-dwelling older adults in the Swiss context: a secondary data analysis of a population study.

BACKGROUND: Unmet needs for home support occur when any support services perceived by older people as needed are not being received. Not meeting these needs can negatively impact older adults' quality of life, and increase health care utilization, hospitalizations, institutionalizations, or death. To date there is no consensus in how to define and assess these unmet needs. In parallel, previous research of factors associated with unmet needs for home support has mostly focused on factors at the micro level. Thus, this paper aims to identify the prevalence of unmet needs for home support among a home-dwelling older population and the factors at the macro, meso and micro levels contributing to them. METHODS: Using an ecological approach we identified multi-level factors associated with the presence of unmet needs for home support among the home-dwelling older population (aged 75+) in Switzerland. This is a secondary cross-sectional analysis of the INSPIRE Population Survey of home-dwelling older adults (n = 8,508) living in Basel-Landschaft in Switzerland, conducted as part of the TRANS-SENIOR Project. Prevalence of perceived unmet needs for home support was self-reported, using a dichotomized question. Multiple logistic regression analyses were performed to investigate the associations of factors at each level with unmet needs for home support. RESULTS: 4.3% of participants reported unmet needs for home support, with a median age of 81 years. 45.1% had private health insurance and 6.3% needed additional government support. Being a recipient of other type of government support (OR = 1.65; 95% CI = 1.17-2.29) (macro-); the use of transportation services (OR = 1.74; 95% CI = 1.15-2.57) (meso-); and feeling depressed (OR = 1.40; 95% CI = 1.06-1.85) or abandoned (OR = 2.60; 95% CI = 1.96-3.43) (micro-) increased odds of having perceived unmet needs for home support. Having a private health insurance (macro-) (OR = 0.63; 95% CI = 0.49-0.80), speaking Swiss-German (OR = 0.44; 95% CI = 0.24-0.88) or German (OR = 0.47; 95% CI = 0.24-0.98), having a high level of education [primary (OR = 0.48; 95% CI = 0.24-1.02); secondary (OR = 0.49; 95% CI = 0.25-1.03); tertiary (OR = 0.38; 95% CI = 0.19-0.82); other (OR = 0.31 (0.12-0.75)], having a high score of self-perceived health status [score ≥ 76 (OR = 0.42; 95% CI = 0.20-0.96)] and having informal care (OR = 0.57; 95% CI = 0.45-0.73), among others (micro-) were associated with decreased odds of having perceived unmet needs for home support. CONCLUSION: Our study findings highlight the role of socio-economical inequality in the perception of unmet needs for home support in home-dwelling older adults. In order to address unmet needs in home-dwelling older adults, healthcare leaders and policy makers should focus on strategies to reduce socio-economic inequalities at the different levels in this population.

Implementation of a complex intervention to reduce hospitalizations from nursing homes: a mixed-method evaluation of implementation processes and outcomes.

BACKGROUND | OBJECTIVE: To evaluate the implementation of three intervention elements to reduce hospitalizations in nursing home residents. DESIGN: Convergent mixed-method design within a hybrid type-2 effectiveness-implementation study. SETTING: Eleven nursing homes in the German-speaking region of Switzerland. PARTICIPANTS: Quantitative data were collected from 573 care workers; qualitative data were collected from 108 care workers and the leadership from 11 nursing homes. INTERVENTION: Three intervention elements targeting care workers were implemented to reduce unplanned hospitalizations: (1) the STOP&WATCH instrument for early recognition of changes in resident condition; (2) the ISBAR instrument for structured communication; and (3) specially-trained INTERCARE nurses providing on-site geriatric support. Multifaceted implementation strategies focusing both on the overall nursing home organization and on the care workers were used. METHODS: The quantitative part comprised surveys of care workers six- and twelve-months post-intervention. The intervention's acceptability, feasibility and uptake were assessed using validated and self-developed scales. Qualitative data were collected in 22 focus groups with care workers, then analyzed using thematic analysis methodology. Data on implementation processes were collected during implementation meetings with nursing home leadership and were analyzed via content analysis. Findings were integrated using a complementary approach. RESULTS: The ISBAR instrument and the INTERCARE nurse role were considered acceptable, feasible, and taken up by > 70% of care workers. The STOP&WATCH instrument showed the lowest acceptance (mean: 68%), ranging from 24 to 100% across eleven nursing homes. A combination of factors, including the amount of information received, the amount of support provided in daily practice, the users' perceived ease of using the intervention and its adaptations, and the intervention's usefulness, appeared to influence the implementation's success. Two exemplary nursing homes illustrated context-specific implementation processes that serve as either barriers or facilitators to implementation. CONCLUSIONS: Our findings suggest that, alongside the provision of information shortly before intervention start, constant daily support is crucial for implementation success. Ideally, this support is provided by designated and trained individuals who oversee implementation at the organizational and unit levels. Leaders who seek to implement interventions in nursing homes should consider their complexity and their consequences for workflow to optimize implementation processes accordingly. TRIAL REGISTRATION: This study was registered at clinicaltrials.gov ( NCT03590470 ) on the 18/06/2018.

Health and social care of home-dwelling frail older adults in Switzerland: a mixed methods study.

BACKGROUND: Home-dwelling frail older adults are often faced with multimorbidity and complex care needs, requiring health and social care systems that support frail older adults to age in place. The objective of this paper was to investigate the types of formal health and social care as well as informal care and social support used by home-dwelling frail older adults; whether they perceive their support as sufficient; and their experience with and preferences for care and support. METHODS: Using an explanatory sequential mixed methods design, we first conducted a secondary analysis of a subset of cross-sectional data from the ImplemeNtation of a community-baSed care Program for home dwelling senIoR citizEns (INSPIRE) population survey using descriptive analysis. Subsequently, we analyzed existing data from interviews in the parent study to help explain the survey results using applied thematic analysis. Results were organized according to adapted domains and concepts of the SELFIE framework and integrated via a joint display table. RESULTS: Of the parent population survey respondents, 2314 older adults indicating frailty were included in the quantitative arm of this study. Interview data was included from 7 older adults who indicated frailty. Support from health and social, formal and informal caregivers is diverse and anticipated to increase (e.g., for 'care and assistance at home' and 'meal services'). Informal caregivers fulfilled various roles and while some older adults strongly relied on them for support, others feared burdening them. Most participants (93.5%) perceived their overall support to meet their needs; however, findings suggest areas (e.g., assessment of overall needs) which merit attention to optimize future care. CONCLUSIONS: Given the anticipated demand for future care and support, we recommend efforts to prevent fragmentation between health and social as well as formal and informal care.

Health economic evaluation of a nurse-led care model from the nursing home perspective focusing on residents' hospitalisations.

BACKGROUND: Health economic evaluations of the implementation of evidence-based interventions (EBIs) into practice provide vital information but are rarely conducted. We evaluated the health economic impact associated with implementation and intervention of the INTERCARE model-an EBI to reduce hospitalisations of nursing home (NH) residents-compared to usual NH care. METHODS: The INTERCARE model was conducted in 11 NHs in Switzerland. It was implemented as a hybrid type 2 effectiveness-implementation study with a multi-centre non-randomised stepped-wedge design. To isolate the implementation strategies' costs, time and other resources from the NHs' perspective, we applied time-driven activity-based costing. To define its intervention costs, time and other resources, we considered intervention-relevant expenditures, particularly the work of the INTERCARE nurse-a core INTERCARE element. Further, the costs and revenues from the hotel and nursing services were analysed to calculate the NHs' losses and savings per resident hospitalisation. Finally, alongside our cost-effectiveness analysis (CEA), a sensitivity analysis focused on the intervention's effectiveness-i.e., regarding reduction of the hospitalisation rate-relative to the INTERCARE costs. All economic variables and CEA were assessed from the NHs' perspective. RESULTS: Implementation strategy costs and time consumption per bed averaged 685CHF and 9.35 h respectively, with possibilities to adjust material and human resources to each NH's needs. Average yearly intervention costs for the INTERCARE nurse salary per bed were 939CHF with an average of 1.4 INTERCARE nurses per 100 beds and an average employment rate of 76% of full-time equivalent per nurse. Resident hospitalisation represented a total average loss of 52% of NH revenues, but negligible cost savings. The incremental cost-effectiveness ratio of the INTERCARE model compared to usual care was 22'595CHF per avoided hospitalisation. As expected, the most influential sensitivity analysis variable regarding the CEA was the pre- to post-INTERCARE change in hospitalisation rate. CONCLUSIONS: As initial health-economic evidence, these results indicate that the INTERCARE model was more costly but also more effective compared to usual care in participating Swiss German NHs. Further implementation and evaluation of this model in randomised controlled studies are planned to build stronger evidential support for its clinical and economic effectiveness. TRIAL REGISTRATION: clinicaltrials.gov ( NCT03590470 ).

The SMILe integrated care model in allogeneic SteM cell TransplantatIon faciLitated by eHealth: a protocol for a hybrid effectiveness-implementation randomised controlled trial.

BACKGROUND: While effectiveness outcomes of eHealth-facilitated integrated care models (eICMs) in transplant and oncological populations are promising, implementing and sustaining them in real-world settings remain challenging. Allogeneic stem cell transplant (alloSCT) patients could benefit from an eICM to enhance health outcomes. To combat health deterioration, integrating chronic illness management, including continuous symptom and health behaviour monitoring, can shorten reaction times. We will test the 1st-year post-alloSCT effectiveness and evaluate bundled implementation strategies to support the implementation of a newly developed and adapted eICM in allogeneic stem cell transplantation facilitated by eHealth (SMILe-ICM). SMILe-ICM has been designed by combining implementation, behavioural, and computer science methods. Adaptions were guided by FRAME and FRAME-IS. It consists of four modules: 1) monitoring & follow-up; 2) infection prevention; 3) physical activity; and 4) medication adherence, delivered via eHealth and a care coordinator (an Advanced Practice Nurse). The implementation was supported by contextually adapted implementation strategies (e.g., creating new clinical teams, informing local opinion leaders). METHODS: Using a hybrid effectiveness-implementation randomised controlled trial, we will include a consecutive sample of 80 adult alloSCT patients who were transplanted and followed by University Hospital Basel (Switzerland). Inclusion criteria are basic German proficiency; elementary computer literacy; internet access; and written informed consent. Patients will be excluded if their condition prevents the use of technology, or if they are followed up only at external centres. Patient-level (1:1) stratified randomisation into a usual care group and a SMILe-ICM group will take place 10 days pre-transplantation. To gauge the SMILe-ICM's effectiveness primary outcome (re-hospitalisation rate), secondary outcomes (healthcare utilization costs; length of inpatient re-hospitalizations, medication adherence; treatment and self-management burden; HRQoL; Graft-versus-Host Disease rate; survival; overall survival rate) and implementation outcomes (acceptability, appropriateness, feasibility, fidelity), we will use multi-method, multi-informant assessment (via questionnaires, interviews, electronic health record data, cost capture methods). DISCUSSION: The SMILe-ICM has major innovative potential for reengineering alloSCT follow-up care, particularly regarding short- and medium-term outcomes. Our dual focus on implementation and effectiveness will both inform optimization of the SMILe-ICM and provide insights regarding implementation strategies and pathway, understudied in eHealth-facilitated ICMs in chronically ill populations. TRIAL REGISTRATION: ClinicalTrials.gov. Identifier: NCT04789863 . Registered April 01, 2021.

Measuring and reporting treatment adherence: What can we learn by comparing two respiratory conditions?

Medication non-adherence, defined as any deviation from the regimen recommended by their healthcare provider, can increase morbidity, mortality and side effects, while reducing effectiveness. Through studying two respiratory conditions, asthma and tuberculosis (TB), we thoroughly review the current understanding of the measurement and reporting of medication adherence. In this paper, we identify major methodological issues in the standard ways that adherence has been conceptualised, defined and studied in asthma and TB. Between and within the two diseases there are substantial variations in adherence reporting, linked to differences in dosing intervals and treatment duration. Critically, the communicable nature of TB has resulted in dose-by-dose monitoring becoming a recommended treatment standard. Through the lens of these similarities and contrasts, we highlight contemporary shortcomings in the generalised conceptualisation of medication adherence. Furthermore, we outline elements in which knowledge could be directly transferred from one condition to the other, such as the application of large-scale cost-effective monitoring methods in TB to resource-poor settings in asthma. To develop a more robust evidence-based approach, we recommend the use of standard taxonomies detailed in the ABC taxonomy when measuring and discussing adherence. Regimen and intervention development and use should be based on sufficient evidence of the commonality and type of adherence behaviours displayed by patients with the relevant condition. A systematic approach to the measurement and reporting of adherence could improve the value and generalisability of research across all health conditions.

Pre-transplant Social Adaptability Index and clinical outcomes in renal transplantation: The Swiss Transplant Cohort study.

BACKGROUND: The impact of pre-transplant social determinants of health on post-transplant outcomes remains understudied. In the United States, poor clinical outcomes are associated with underprivileged status, as assessed by the Social Adaptability Index (SAI), a composite score of education, employment status, marital status, household income, and substance abuse. Using data from the Swiss Transplant Cohort Study (STCS), we determined the SAI's predictive value regarding two post-transplant outcomes: all-cause mortality and return to dialysis. METHODS: Between 2012 and 2018, we included adult renal transplant patients (aged ≥ 18 years) with pre-transplant assessment SAI scores, calculated from a STCS Psychosocial Questionnaire. Time to all-cause mortality and return to dialysis were predicted using Cox regression. RESULTS: Of 1238 included patients (mean age: 53.8 ± 13.2 years; 37.9% female; median follow-up time: 4.4 years [IQR: 2.7]), 93 (7.5%) died and 57 (4.6%) returned to dialysis. The SAI's hazard ratio was 0.94 (95%CI: 0.88-1.01; p = .09) for mortality and 0.93 (95%CI: 0.85-1.02; p = .15) for return to dialysis. CONCLUSIONS: In contrast to most published studies on social deprivation, analysis of this Swiss sample detected no significant association between SAI score and mortality or return to dialysis.

The INSPIRE Population Survey: development, dissemination and respondent characteristics.

BACKGROUND: Most older adults prefer to continue living at home despite increasing care needs and demand for services. To aid in maintaining independence, integrated care models for community-dwelling older people are promoted as the most cost-effective approach. The implementation of such care models is challenging and often the end-users are not involved or their needs are not considered. We conducted a population survey in order to understand the needs and preferences of home-dwelling older adults living in Canton Basel-Landschaft, Switzerland. The aims of this paper are to chronicle the development of the INSPIRE Population Survey, outline its variables and measurements, describe the marketing strategy utilized for survey dissemination and report on the response rate and respondent characteristics. METHODS: The INSPIRE Population Survey, conducted between March and August 2019, is a cross-sectional survey of older adults aged 75 and older living at home in Canton Basel-Landschaft. The questionnaire was developed by expert input and stakeholder involvement. Its readability and acceptability were pilot-tested with older people. To ensure the likelihood of a high and representative response rate, a meticulous step-by-step marketing strategy was developed prior to the dissemination of the questionnaire. RESULTS: The overall response rate was 30.7% (n = 8,846), with variations between 20.6 and 34.5% across the different care regions in the canton. A generally higher response rate was found in the care regions with a higher density and which bordered the urban city of Basel. We received support from local stakeholders, policy makers and media through using a broad combination of marketing channels and targeting our community partners who have a strong relationship with our target audience. CONCLUSIONS: Although recruiting older adults in research is challenging, our study shows that a high response rate can be achieved by developing the survey through expert input and by involving all important stakeholders, including older adults, throughout the entire process.

Age at Time of Kidney Transplantation as a Predictor for Mortality, Graft Loss and Self-Rated Health Status: Results From the Swiss Transplant Cohort Study.

Introduction: The effect of age on health outcomes in kidney transplantation remains inconclusive. This study aimed to analyze the relationship between age at time of kidney transplantation with mortality, graft loss and self-rated health status in adult kidney transplant recipients. Methods: This study used data from the Swiss Transplant Cohort Study and included prospective data of kidney transplant recipients between 2008 and 2017. Time-to-event analysis was performed using Cox' regression analysis, and -in the case of graft loss- competing risk analysis. A random-intercept regression model was applied to analyse self-rated health status. Results: We included 2,366 kidney transplant recipients. Age at transplantation linearly predicted mortality. It was also predictive for graft loss, though nonlinearly, showing that recipients aged between 35 and 55 years presented with the lowest risk of experiencing graft loss. No relationship of age with self-rated health status was detected. Conclusion: Higher mortality in older recipients complies with data from the general population. The non-linear relationship between age and graft loss and the higher scored self-rated health status at all follow-up time-points compared to the pre-transplant status -regardless of age- highlight that age alone might not be an accurate measure for risk prediction and clinical decision making in kidney transplantation.

Care processes and structures associated with higher medication adherence in adolescent and young adult transplant recipients.

BACKGROUND: We aimed to identify care processes and structures that were independently associated with higher medication adherence among young transplant recipients. METHODS: We conducted a prospective, observational cohort study of 270 prevalent kidney, liver, and heart transplant recipients 14-25 years old. Patients were ≥3 months post-transplant, ≥2 months post-discharge, and followed in one of 14 pediatric or 14 adult transplant programs in Canada. Patients were enrolled between June 2015 and March 2018 and followed for 6 months. Adherence was assessed at baseline, 3, and 6 months using the BAASIS© self-report tool. Patients were classified as adherent if no doses were missed in the prior 4 weeks. Transplant program directors and nurses completed questionnaires regarding care organization and processes. RESULTS: Of the 270 participants, 99 were followed in pediatric programs and 171 in adult programs. Median age was 20.3 years, and median time since transplant was 5 years. At baseline, 71.5% were adherent. Multivariable mixed effects logistic regression models with program as a random effect identified two program-level factors as independently associated with better adherence: minimum number of prescribed blood draws per year for those >3 years post-transplant (per 1 additional) (OR 1.12 [95% CI 1.00, 1.26]; p = .047), and average time nurses spend with patients in clinic (per 5 additional minutes) (OR 1.15 [1.03, 1.29]; p = .017). CONCLUSION: Program-level factors including protocols with a greater frequency of routine blood testing and more nurse time with patients were associated with better medication adherence. This suggests that interventions at the program level may support better adherence.

Development of an integrated model of care for allogeneic stem cell transplantation facilitated by eHealth-the SMILe study.

PURPOSE: Allogeneic stem cell transplantation would benefit from re-engineering care towards an integrated eHealth-facilitated care model. With this paper we aim to: (1) describe the development of an integrated care model (ICM) in allogeneic SteM-cell-transplantatIon faciLitated by eHealth (SMILe) by combining implementation, behavioral, and computer science methods (e.g., contextual analysis, Behavior Change Wheel, and user-centered design combined with agile software development); and (2) describe that model's characteristics and its application in clinical practice. METHODS: The SMILe intervention's development consisted of four steps, with implementation science methods informing each: (1) planning its set-up within a theoretical foundation; (2) using behavioral science methods to develop the content; (3) choosing and developing its delivery method (human/technology) using behavioral and computer science methods; and (4) describing its characteristics and application in clinical practice. RESULTS: The SMILe intervention is embedded within the eHealth enhanced Chronic Care Model, entailing four self-management intervention modules, targeting monitoring and follow-up of important medical and symptom-related parameters, infection prevention, medication adherence, and physical activity. Interventions are delivered partly face-to-face by a care coordinator embedded within the transplant team, and partly via the SMILeApp that connects patients to the transplant team, who can monitor and rapidly respond to any relevant changes within 1 year post-transplant. CONCLUSION: This paper provides stepwise guidance on how implementation, behavioral, and computer science methods can be used to develop interventions aiming to improve care for stem cell transplant patients in real-world clinical settings. This new care model is currently being tested in a hybrid I effectiveness-implementation trial.