Nonadherence to immunosuppressive therapy is recognized as a key prognostic indicator for poor posttransplantation long-term outcomes. Several methods aiming to measure medication nonadherence have ...been suggested in the literature. Although combining measurement methods is regarded as the gold standard for measuring nonadherence, self-report is generally considered a central component of adherence assessment. However, no systematic review currently exists to determine which instrument(s) are most appropriate for use in transplant populations.
The transplant360 Task Force first performed a survey of the self-report adherence instruments currently used in European centers. Next, a systematic literature review of self-report instruments assessing medication adherence in chronically ill patients was conducted. Self-report instruments were evaluated to assess those which were: (a) short and easy to score; (b) assessed both the taking and timing of medication intake; and (c) had established reliability and validity.
Fourteen instruments were identified from our survey of European centers, of which the Basel Assessment of Adherence Scale for Immunosuppressives met the aforementioned criteria. The systematic review found 20 self-report instruments, of which only two qualified for use in transplantation, that is, the Brief Antiretroviral Adherence Index and the Medication Adherence Self-Report Inventory.
The three selected self-report scales may assist transplant professionals in detecting nonadherence. However, these scales were only validated in patients with HIV. Although HIV shares similar characteristics with transplantation, including the importance of taking and timing of medication, further validation in transplant populations is required.
Well-designed randomized controlled trials (RCTs) testing efficacy of post-transplant medication adherence enhancing interventions and clinical outcomes are scarce.
This randomized controlled trial ...enrolled adult heart, liver, and lung transplant recipients who were >1 year post-transplant and on tacrolimus twice daily (convenience sample) (visit 1). After a 3-month run-in period, patients were randomly assigned 1:1 to intervention group (IG) or control group (CG) (visit 2), followed by a 6-month intervention (visits 2-4) and a 6-month adherence follow-up period (visit 5). All patients used electronic monitoring for 15 months for adherence measurement, generating a daily binary adherence score per patient. Post-intervention 5-year clinical event-free survival (mortality or retransplantation) was evaluated. The IG received staged multicomponent tailored behavioral interventions (visits 2-4) building on social cognitive theory and trans-theoretical model (e.g., electronic monitoring feedback, motivational interviewing). The CG received usual care and attended visits 1-5 only. Intention-to-treat analysis used generalized estimating equation modeling and Kaplan-Meier survival analysis.
Of 247 patients, 205 were randomly assigned (103 IG, 102 CG). At baseline, average daily proportions of patients with correct dosing (82.6% IG, 78.4% CG) and timing adherence (75.8% IG, 72.2% CG) were comparable. The IG had a 16% higher dosing adherence post-intervention (95.1% IG, 79.1% CG; p < 0.001), resulting in odds of adherence being 5 times higher in the IG than in the CG (odds ratio 5.17, 95% confidence interval 2.86-9.38). This effect was sustained at end of follow-up (similar results for timing adherence). In the IG, 5-year clinical event-free survival was 82.5% vs 72.5% in the CG (p = 0.18).
Our intervention was efficacious in improving adherence and sustainable. Further research should investigate clinical impact, cost-effectiveness, and scalability.
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).
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.
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.
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.
•eHealth-powered integrated models of care can potentially improve outcomes in alloSCT patients.•Successful implementation of new care models require a thorough understanding of the context and needs.•This report shows how context drives development and choice of implementation strategies to re-engineer alloSCT care.•eHealth needs to be embedded within an integrated care model, supporting self-management and health behaviors.•eHealth-powered care models can support continuity of care but should not replace human contacts.
BACKGROUND.Little is known about associations between low physical activity (PA) and its correlates and outcomes in solid organ transplant recipients. This systematic review with meta-analysis ...examined correlates and outcomes associated with low PA (ie, not meeting individual study’s definition of being physically active) following solid organ transplantation.
METHODS.We searched PubMed, CINAHL, PsycINFO, and EMBASE from inception to February 2016 to identify peer-reviewed data-based articles. Articles published in English, German, Spanish, French, Italian, Portuguese, or Dutch that examined correlates or outcomes associated with low PA in adult single, solid organ transplant recipients were included. Studies’ quality was assessed using a 14-item checklist. Pooled odds ratios and 95% confidence intervals were computed for correlates and outcomes examined in ≥5 studies.
RESULTS.Of 7401 publications screened, 34 studies met inclusion criteria and were included in the overall synthesis with 15 included in the meta-analysis. Most focused on renal transplantation (n = 18, 53%) and used cross-sectional designs (n = 26, 77%). Of 30 correlates examined, condition-related (n = 11), social/economic-related (n = 9), patient-related (n = 4), healthcare system-related (n = 3), and treatment-related (n = 3), only 4 were examined ≥5 times and included in meta-analyses. None were significantly related to low PA. Of 19 outcomes assessed, only physical health-related quality of life was examined ≥5 times. Low PA was significantly associated with low physical health-related quality of life (odds ratio = 0.172, 95% confidence interval = 0.08–0.37).
CONCLUSIONS.We found few studies examining most correlates and outcomes related to low PA despite growing evidence that improving PA might be an effective intervention in improving posttransplant outcomes.
Purpose
To explore the association between the degree of Chronic illness management and survival rates at 1-, 3-, 5-years post heart transplantation.
Methods
Exploratory secondary analysis of a ...cross-sectional, international study (Building Research Initiative Group study). Latent profile analysis was performed to classify 36 heart transplant centers according to the degree of chronic illness management.
Results
The analysis resulted in 2 classes with 29 centers classified as “low-degree chronic illness management” and 7 centers as “high-degree chronic illness management”. After 1-year posttransplantation, the high-degree chronic illness management class had a significantly greater mean survival rate compared to the low-degree chronic illness management class (88.4% vs 84.2%, p = 0.045) and the difference had a medium effect size (η2 = .06). No difference in survival for the other time points was observed. Patients in high-degree chronic illness management centers had 52% lower odds of moderate to severe drinking (95% confidence interval .30–.78, p = 0.003). No significant associations between degree of chronic illness management and the other recommended health behaviors were observed.
Conclusions
The findings from this exploratory study offer preliminary insight into a system-level pathway (chronic illness management) for improving outcomes for heart transplant recipients. The signals observed in our data support further investigation into the effectiveness of chronic illness management-based interventions in heart transplant follow-up care.
Transplant recipients are chronically ill patients, who require lifelong follow-up to manage co-morbidities and prevent graft loss. This necessitates a system of care that is congruent with the ...Chronic Care Model. The eleven-item self-report Patient Assessment of Chronic Illness Care (PACIC) scale assesses whether chronic care is congruent with the Chronic Care Model, yet its validity for heart transplant patients has not been tested.
We tested the validity of the English version of the PACIC, and compared the similarity of the internal structure of the PACIC across English-speaking countries (USA, Canada, Australia and United Kingdom) and across six languages (French, German, Dutch, Spanish, Italian and Portuguese). This was done using data from the cross-sectional international BRIGHT study that included 1378 heart transplant patients from eleven countries across 4 continents. To test the validity of the instrument, confirmatory factor analyses to check the expected unidimensional internal structure, and relations to other variables, were performed.
Main analyses confirmed the validity of the English PACIC version for heart transplant patients. Exploratory analyses across English-speaking countries and languages also confirmed the single factorial dimension, except in Italian and Spanish.
This scale could help healthcare providers monitor level of chronic illness management and improve transplantation care.
Clinicaltrials.gov ID: NCT01608477, first patient enrolled in March 2012, registered retrospectively: May 30, 2012.
Celotno besedilo
Dostopno za:
CEKLJ, DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
About half of all children with rheumatic diseases need continuous medical care during adolescence and adulthood. A good transition into adult rheumatology is essential. Guidelines for a structured ...transition process have therefore been recommended by the European League Against Rheumatism (EULAR) and the Paediatric Rheumatology European Society (PReS). However, implementation of these guidelines requires resources often not available in a busy clinical practice.
To assess the current practice of transitional care in Switzerland in relation to EULAR/PReS recommendations and to describe gaps and challenges in following the recommendations.
All paediatric Swiss rheumatology centres and their collaborating adult centres offering a transition service to adult care were invited to participate in this survey. The responsible paediatric and adult rheumatologist of each centre was interviewed separately using a structured manual addressing the EULAR/PReS transitional care recommendations.
All 10 paediatric and 9 out of 10 adult rheumatologists agreed to participate. Centres varied in the number of patients in transition, from n = 0 to n = 111. The following EULAR/PReS recommendations were implemented and applied in most centres: continuity in the healthcare team, consultations focused on adolescents and young adults, joint consultations between the paediatric and adult rheumatologist, and access to the EULAR website. Only rarely did a centre have a written transition policy or evaluate their transitional care programme. The vast majority of the interviewees had no specific training in adolescent health. Most centres rated their transitional care performance as very good.
Transition in Switzerland is not uniform and consequently the implementation of the EULAR/PReS recommendations is variable in Swiss rheumatology centres. Skills of healthcare professionals, continuity between clinical settings, size of the centres, and hospital focus on the needs of adolescents and young adults may represent key predictors of successful transitional care for patients with chronic rheumatic diseases. Future studies should examine these variables.
Background:
As medication non-adherence is a major risk factor for poor post-transplant outcomes, we explored how adherence is assessed, enhanced and integrated across the transplant continuum.
Aim:
...The aim of this study was to study practice patterns regarding pre- and post-transplant medication adherence assessment and interventions in international heart transplant centres.
Methods:
We used data from the Building Research Initiative Group: chronic illness management and adherence in heart transplantation (BRIGHT) study, a cross-sectional study conducted in 36 heart transplant centres in 11 countries. On a 27-item questionnaire, 100 clinicians (range one to five per centre) reported their practice patterns regarding adherence assessment and intervention strategies pre-transplant, immediately post-transplant, less than one year, and one or more year post-transplant. Educational/cognitive, counselling/behavioural and psychosocial/affective strategies were assessed. Clinicians’ responses (intervention present vs. absent; or incongruence in reporting intervention) were aggregated at the centre level.
Results:
The adherence assessment method most commonly used along the transplant continuum was questioning patients (range 75–88.9%). Pre-transplant, all three categories of intervention strategy were applied. Providing reading materials (82.9%) or instructions (68.6%), involving family or support persons in education (91.4%), and establishing partnership (91.4%) were used most frequently. Post-transplant, strategies closely resembled those employed pre-transplant. Training patients (during recovery) and cueing were more often applied during hospitalisation (74.3%). After the first year post-transplant, except for motivational interviewing (25.7–28.6%), the number of strategies decreased.
Conclusions:
Across the transplant continuum, diverse adherence interventions are implemented; however, post-transplant, the frequency of adherence interventions decreases. Therefore, increased investment is necessary in long-term adherence interventions.
Effect size estimation: Methods and examples Berben, Lut; Sereika, Susan M.; Engberg, Sandra
International journal of nursing studies,
August 2012, 2012-Aug, 2012-8-00, 20120801, Letnik:
49, Številka:
8
Journal Article
Recenzirano
While the p-value will tell the reader a study's results are statistically significant, it does not provide any information about the practical or clinical importance of the findings. Furthermore, ...p-values are influenced by sample size. They are more likely to be significant when sample size is large and less likely if the sample is small. Effect size estimates, on the other hand, are not sensitive to sample size and provide information about the direction and strength of the relationship between variables (e.g., a treatment and an outcome). In addition to providing valuable clinical information about study findings, effect size estimates can provide a common metric to compare results across studies. Despite their usefulness, effect size estimates are often not reported as part of the research results. Consequently, effect sizes often have to be calculated based on summary and test statistics reported in research articles.
This article provides the formulas utilized to directly calculate common effective size estimates using summary statistics reported in research studies, as well as methods to more indirectly estimate these effect sizes when basis summary statistics are not reported. In addition we present formulas to compute the corresponding confidence interval for each effect size.
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