Perspectives of solid organ transplant recipients on medicine-taking: Systematic review of qualitative studies

Tang, J.; Kerklaan, Jasmijn; Wong, Germaine; Howell, Martin; Scholes‐Robertson, Nicole; Guha, Chandana; Kelly, Ayano; Tong, Allison

doi:10.1111/ajt.16613

Cited by 11 publications

(13 citation statements)

References 154 publications

(878 reference statements)

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“…IM non-adherence is one of the main reasons for transplant renal failure (7,31). Medicine taking among transplant recipients is a complex and ubiquitous task with significant impacts on outcomes (32). Among solid organ transplant patients, renal transplant patients had the highest IM non-adherence, ranging from 20 to 70% (6,17,(33)(34)(35)(36).…”

Section: Discussionmentioning

confidence: 99%

Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning Technology

et al. 2022

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ObjectivesPredicting adherence to immunosuppressive medication (IM) is important to improve and design future prospective, personalized interventions in Chinese renal transplant patients (RTPs).MethodsA retrospective, multicenter, cross-sectional study was performed in 1,191 RTPs from October 2020 to February 2021 in China. The BAASIS was used as the standard to determine the adherence of the patients. Variables of the combined theory, including the general data, the HBM, the TPB, the BMQ, the PSSS and the GSES, were used to build the models. The machine learning (ML) models included LR, RF, MLP, SVM, and XG Boost. The SHAP method was used to evaluate the contribution of predictors to predicting the risk of IM non-adherence in RTPs.ResultsThe IM non-adherence rate in the derivation cohort was 38.5%. Ten predictors were screened to build the model based on the database. The SVM model performed better among the five models, with sensitivity of 0.59, specificity of 0.73, and average AUC of 0.75. The SHAP analysis showed that age, marital status, HBM-perceived barriers, use pill box after transplantation, and PSSS-family support were the most important predictors in the prediction model. All of the models had good performance validated by external data.ConclusionsThe IM non-adherence rate of RTPs was high, and it is important to improve IM adherence. The model developed by ML technology could identify high-risk patients and provide a basis for the development of relevant improvement measures.

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Section: Discussionmentioning

confidence: 99%

Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning Technology

et al. 2022

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“…The complex regime of immunosuppressive medications and the need for lifelong treatment make transplant recipients exhausted with the use of immunosuppressive medication. 32 , 33 , 39 This study defined that taking immunosuppressive medication causes a perception of being dependent on medication for life and leads to weariness with taking the medication. Furthermore, the study revealed that liver transplant recipients’ perception of being completely healed after transplantation or losing belief in treatment also negatively affected medication adherence.…”

Section: Discussionmentioning

confidence: 99%

Factors Affecting Immunosuppressive Medication Adherence in Liver Transplant Recipients with Poor Adherence: A Qualitative Study

Köken¹,

Ceren²,

Karahan³

et al. 2023

PPA

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Purpose Preserving graft functions and preventing rejection is closely related to immunosuppressive medication adherence in liver transplant recipients. Therefore, it is essential to determine factors affecting immunosuppressive medication use positively or negatively in liver transplant recipients. This study aimed to explore the use of immunosuppressive medication experience in liver transplant recipients with poor adherence and reveal the factors affecting the medication adherence. Material and Methods The study was conducted as a qualitative study with phenomenological approach. Seven adult liver transplant recipients were included in this study, who had poor adherence to immunosuppressive medication. Data was collected via in-depth personal interviews. Data analysis was conducted through inductive content analysis with three steps of preparation, organization, and reporting phases. Results Content analysis revealed four main categories, nine categories and 31 sub-categories. Four main categories emerged from the interview data: medication adherence perception, types of medication non-adherence, factors affecting medication adherence negatively and factors affecting medication adherence positively. Conclusion This study explored that there are several factors affecting immunosuppressive medication adherence among liver transplant recipients, both positively and negatively. In order to achieve liver transplant recipients’ total adherence to immunosuppressive medication, the factors affecting medication adherence positively and negatively should be understood. The study results are expected to contribute developing strategies to improve immunosuppressive medication adherence in liver transplant recipients.

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“…A successful organ transplant is a life-changing event and comes with a new set of challenges for recipients, their caregivers, and health professionals. There is a perpetual fragile balance between physical, emotional, and psychosocial needs and the management of the transplant, medication, activities, and relationships (Davidson et al 2017;Tang et al 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Non-adherence is a life-threatening behaviour which may lead to a relapse of the chronic condition, graft loss in patients with organ transplants, or at worst, death (Tang et al 2021).…”

Section: Non-adherence In Adolescent Transitionmentioning

confidence: 99%

Adolescent paediatric transplant patients’ experiences of transition to adult services

Prentice-Hoogervorst

Mayers²

2022

Health SA Gesondheid

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Background: Transition of adolescents from paediatric to adult health services is an important aspect of caring for young people with chronic diseases. Successful transition of adolescents living with a transplant is critical for long-term survival into adulthood. This qualitative study explored the lived experience of adolescents in a South African setting following their planned and supported transition process.Aim: To explore the lived experience of transition for adolescents who had received a renal or liver transplant as a child, from paediatric to adult transplant services in the public health sector.Setting: Cape Town, South Africa.Method: Six purposively sampled adolescents, who had participated in a planned transition from a tertiary level children’s hospital to the affiliated adult hospital, were interviewed in the setting and language of their choice. The transcribed interviews were analysed using an interpretative phenomenological analysis (IPA) approach.Results: Five themes emerged: living with uncertainty in a changing world; being known, not knowing, and knowing; ambivalent relationships; the journey of loss; and being heard. Pre-transition planning, support groups, and consistency of clinicians within an accepting environment facilitated the adolescents’ individuation and acceptance of self-care responsibility.Conclusion: Carefully planned, collaborative preparation and implementation of a facilitated psycho-supportive intervention for transition can facilitate adolescent cooperation and adherence, minimise the risk of psychological and medical sequelae, and support the adolescent in adapting to living with a transplant as an adult.Contribution: This study offers insight into the importance of planned and supported transitional care of adolescents living with an organ transplant.

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Perspectives of solid organ transplant recipients on medicine-taking: Systematic review of qualitative studies

Cited by 11 publications

References 154 publications

Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning Technology

Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning Technology

Factors Affecting Immunosuppressive Medication Adherence in Liver Transplant Recipients with Poor Adherence: A Qualitative Study

Adolescent paediatric transplant patients’ experiences of transition to adult services

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