Identification of Immunosuppressive Medication Nonadherence Factors Through a Combined Theory Model in Renal Transplant Recipients: 6-12

Immunosuppressant medication behaviours in solid organ transplant recipients: a cross-sectional study from south-central China during COVID-19 reopening period

OBJECTIVE

Medication non-adherence to immunosuppressants threatens allograft survival and function maintenance among solid organ transplant (SOT) recipients. This study aimed to investigate the prevalence of immunosuppressant medication non-adherence and associated factors during the COVID-19 reopening period among Chinese SOT recipients.

DESIGN

Cross-sectional study.

SETTING

South-central China.

POPULATION

Adult patients who received SOT with functioning graft.

METHODS

Sociodemographic questionnaire and scales to measure physical activity, depression and medication non-adherence were used to collect data. Logistic regression analysis was conducted to identify factors associated with medication non-adherence. Mediation and moderated mediation analyses were performed to examine the potential mechanisms influencing medication behaviour during the pandemic reopening period using SPSS PROCESS macro 4.3 software.

RESULTS

A total of 1121 participants were recruited and the prevalence of medication non-adherence was 36.3% in this study. Recipients who were men, had a higher monthly income, lived alone, had received transplantation for a minimum of 3 years, had received COVID-19 vaccination and experienced depressive symptoms exhibited an increased risk of non-adherence. Contrarily, those who engaged in high-intensity physical activity exhibited a decreased risk. Physical activity was negatively associated with medication non-adherence (r=-0.124, p<0.001) with depression fully mediating this relationship (B=-0.014, 95% CI: -0.032 to -0.003). COVID-19 vaccination significantly moderated the relationship between physical activity and depression (B=-0.303, 95% CI: -0.515 to -0.090).

CONCLUSION

This study investigated the prevalence of medication non-adherence among SOT recipients during the COVID-19 reopening period in China, its associated factors and a potential mechanism. Depression fully mediated the association between physical activity and medication non-adherence, and COVID-19 vaccination moderated the relationship between physical activity and depression. These findings provide some insights for managing medication behaviour when confronting public health emergencies. However, relationships displayed in the moderated mediation model should be tracked after returning to normal life and other potential relationships should be explored to deeply understand medication non-adherent behaviour.

Development and validation of a LASSO-based prediction model for immunosuppressive medication nonadherence in kidney transplant recipients

INTRODUCTION

To establish a prediction model to predict immunosuppressive medication (IM) nonadherence in kidney transplant recipients (KTRs) based on a combined theory framework.

METHODS

This polycentric, cross-sectional study included 1191 KTRs from October 2020 to February 2021 in China, with 1011 KTRs enrolled in the derivation set and 180 in the external validation set. Variables selected based on the combined theory of planned behavior (TPB)/health belief model (HBM) theory were analyzed by the least absolute shrinkage and selection operator (LASSO). Internal 10 cross-validation was conducted to determine the optimal lambda value. The receiver operating characteristic (ROC) curve, specificity, and sensitivity were used to evaluate the prediction model, and further assessment was run by external validation.

RESULTS

IM nonadherence rate was 38.48% in the derivation set and 37.22% in the validation set. The LASSO model was developed with eight predictors for IM nonadherence: age, preoperative drinking history, education, marital status, perceived barriers, social support, perceived behavioral control, and perceived susceptibility. The model demonstrated acceptable discrimination with the area under the ROC curve of 0.797 (95% CI: 0.745-0.850) in the internal validation set and 0.757 (95% CI: 0.684-0.829) in the external validation set. The specificity and sensitivity in the internal validation and external validation set were 0.741, 0.748, 0.673, and 0.716, respectively.

CONCLUSIONS

The LASSO model was developed to guide identifying high-risk nonadherent patients and timely and effective interventions to improve their prognosis and survival.

The effects of a physical exercise program in Chinese kidney transplant recipients: a prospective randomised controlled trial

Background

Kidney transplant has become the preferred therapy for end-stage renal disease. However, kidney transplant recipients (KTRs) still face several challenges, such as physical inactivity. The purpose of this study was to explore the effects of a nurse-led physical exercise program in Chinese KTRs.

Methods

A total of 106 participants were enrolled from the Third Xiangya Hospital of Central South University between July 2021 and June 2022 and randomly assigned to the control or intervention groups. Participants in the control group were provided with routine nursing care and participants in the intervention group received a nurse-led rigorous physical exercise program that was divided into two stages: the pre-discharge stage and the post-discharge stage. The pre-discharge stage included the non-ambulatory and ambulatory stages. The Chinese traditional exercise Baduanjin was incorporated into the physical exercise during the ambulatory stage. The post-discharge stage continued the same exercise as the ambulatory stage at home. After 3 months of intervention, both groups received the same follow-up for 3 months. The primary and secondary outcomes of all participants were collected. The data were analysed with repeated measures analysis of variance to examine the effectiveness of the intervention.

Results

Compared with the control group, the intervention group had less fatigue and more motivation to be active in primary outcomes. Moreover, patients in the intervention group had a higher phase angle, a longer 6-minute walk distance, more 30-second chair stand times and decreased anxiety and depression levels in secondary outcomes. No adverse events were observed during the intervention. There were no significant differences in all dimensions of the quality-of-life questionnaire between the intervention and the control group.

Conclusion

Chinese KTRs could benefit from the nurse-led physical exercise program post-operatively.

Trial registration

ChiCTR2100048755.

Reliability and Validity of the Japanese Version of the Basel Assessment of Adherence to Immunosuppressive Medications Scale in Kidney Transplant Recipients

A valid and reliable instrument that can measure adherence is needed to identify nonadherent patients and to improve adherence. However, there is no validated Japanese self-report instrument to evaluate adherence to immunosuppressive medications for transplant patients. The purpose of this study was to determine the reliability and validity of the Japanese version of the Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS).

Methods

We translated the BAASIS into Japanese and developed the Japanese version of the BAASIS (J-BAASIS) according to the International Society of Pharmacoeconomics and Outcomes Research task force guidelines. We analyzed the reliability (test-retest reliability and measurement error) and validity of the J-BAASIS (concurrent validity with the medication event monitoring system and the 12-item Medication Adherence Scale) referring to the COSMIN Risk of Bias checklist.

Results

A total of 106 kidney transplant recipients were included in this study. In the analysis of test-retest reliability, Cohen's kappa coefficient was found to be 0.62. In the analysis of measurement error, the positive and negative agreement were 0.78 and 0.84, respectively. In the analysis of concurrent validity with the medication event monitoring system, sensitivity and specificity were 0.84 and 0.90, respectively. In the analysis of concurrent validity with the 12-item Medication Adherence Scale, the point-biserial correlation coefficient for the "medication compliance" subscale was 0.38 (P < 0.001).

Conclusions

The J-BAASIS was determined to have good reliability and validity. Using the J-BAASIS to evaluate adherence can help clinicians to identify medication nonadherence and institute appropriate corrective measures to improve transplant outcomes.

Characteristic of medication compliance behavior in renal transplantation patients

OBJECTIVES

After renal transplantation, patients need to take various immunosuppressant, but the drug compliance is poor. The theory of planned behavior suggests that the past medication behavior and subjective norms of individuals are closely related to medication compliance. This study aims to explore the change of medication compliance behavior and its influenting factors for renal transplantation patients at different stages.

METHODS

This study was a prospective longitudinal study. The Basel Assessment of Adherence with Immunosuppressive Medication Scale (BAASIS), Medication Belief Scale, Social Support Scale and Quality of Life Scale were used to dynamically follow up renal transplantation patients at pre-operation and 1-month, 6-month, and 12-month after transplantation.

RESULTS

A total of 300 patients completed the whole follow-up. The percentage of patients with good medication compliance was 97.60%, 87.30% and 84.30% at 1-month, 6-month and 12-month after transplantation respectively. The life quality of the patients was decreased at 6 months after the operation, and the patients with better self-reported life quality had poor medication compliance. After adjusting for demographic data, the risk of medication incompliance in patients with poor medication compliance before operation was 37.646 times than those with good compliance. Patients who did not use medication reminders had high risk (odds ratio=2.467) of drug non-adherence. The risk of drug non-adherence in patients with more postoperative misgivings was 1.265 times compared with that in patients with less postoperative misgivings.

CONCLUSIONS

The medication compliance decreases with the time of transplantation, but the medication compliance of patients with good self-reported life quality is poor. Medication concerns reduce the compliance behavior. Preoperative medication behavior has a significant predictive effect on postoperative behavior. Medication reminder is a protective factor for promoting compliance. Medical staff should pay more attention to preoperative medication belief, behaviors and reminder of using drug so as to provide precise intervention in the renal transplantation patients.

Effects of Nursing Intervention Based on Health Belief Model on Self-Perceived Burden, Drug Compliance, and Quality of Life of Renal Transplant Recipients

Objective

To explore the effects of nursing intervention based on health belief model (HBM) on self-perceived burden, drug compliance, and quality of life of renal transplant recipients.

Methods

Sixty patients with renal transplantation treated in our hospital from February 2019 to July 2021 were enrolled. The patients were randomly assigned to control group and study group. The former received routine nursing and the latter received nursing intervention based on HBM.

Results

The nursing satisfaction in the study group was higher compared to the control group (P < 0.05). Secondly, we compared the scores of self-burdens. Before nursing, they exhibited no significant difference (P > 0.05); after nursing, they decreased. Moreover, the physical burden, economic burden, and emotional burden of the study group were lower compared to the control group (P < 0.05). In terms of drug compliance, the rates of no missed medication, noncontinuous missed medication, timely medication, dose-by-dose medication, and non-self-stopping medication in the study group were higher compared to the control group (P < 0.05). The scores of SAS and SDS exhibited no significant difference before nursing (P > 0.05). After nursing, they decreased. Furthermore, the scores of SAS and SDS of the study group were lower compared to the control group (P < 0.05). The self-management ability exhibited no significant difference before nursing (P > 0.05); after nursing, it increased. Moreover, the self-management ability of the study group at discharge and 1 month, 3 months, and 6 months after discharge was higher compared to the control group (P < 0.05). Finally, we compared the scores of quality of life. Before nursing, there was no significant difference (P > 0.05). The scores of physiological function, psychological function, social function, and health self-cognition in the study group were lower compared to the control group (P < 0.05).

Conclusion

The nursing intervention based on HBM can enhance the medication compliance of renal transplant recipients, and the intervention effect is long-lasting. Meanwhile, it can effectively enhance the negative emotion of patients, reduce the burden of self-feeling, promote the quality of life, strengthen the self-management of patients, and facilitate the prognosis.

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

Objectives

Predicting adherence to immunosuppressive medication (IM) is important to improve and design future prospective, personalized interventions in Chinese renal transplant patients (RTPs).

Methods

A 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.

Results

The 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.

Conclusions

The 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.