Risk Factors For Nonadherence Research Articles

Non Adherence to Fluid Restriction among Patients who Undergoing Hemodialysis and Influencing Factors: Study at RSI Sakinah Mojokerto

Background: Nonadherence to Fluid Restriction is main problem among chronic renal failure patients who undergoing hemodialysis, it causingan undesirable effect on health and risk of death. Several factors such as sociodemographic, knowledge, susceptibility of illness, perceived treat, perceived controlare some factors influencing Nonadherence behavior. Purpose: The aim of this study was to analyze the factors influencing Non-adherence to Fluid Restriction who undergoing hemodialysis at RSI Sakinah Mojokerto. Methods: A descriptive analytic with crossectional techniques was conducted among 73 patients undergoing hemodialysis at RSI Sakinah Mojokerto by using purposive sampling technique. Data were collected through checklist and questionnaires. Descriptive statistic was used for data analysis and logistic regression test was used analysis the predictor of factors relating with Non-adherence to Fluid Restriction who undergoing hemodialysis. Results: The results of this study showed 37% patients were Non-adherence to Fluid Restriction and 63% patients were adherence. There were three risk factors for non-adherencee, namely (Health Belief Model) HBM, history of disease and length of time undergoing hemodialysis. HBM 0.132 times higher (95% CI: 0.132, 0.035), history of disease 0.072 times higher (95% CI: 0.072, 0.012), and length of time undergoing hemodialysis 0.071 times higher (95% CI: 0.071, 0.016). Conclusion: HBM, history of disease and length of time undergoing hemodialysis were risk factors for Non-adherence to Fluid Restriction. The nurse should consider the patient's adherence with fluid restrictions in providing nursing care.

Risk Factors for Non-Adherence to Medication for Liver Transplant Patients: An Umbrella Review.

Background/Objectives: Liver Transplantation (LT) is the second most common solid organ transplantation. Medication adherence on LT patients is key to avoiding graft failure, mortality, and important quality of life losses. The aim of this study is to identify risk-factors for non-adherence to treatment of liver transplant patients according to reliable published evidence. Methods: An umbrella review within the context of adherence to immunosuppressant medication of LT patients, was conducted. The review was performed in accordance with the principles of the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. Results: A total of 11 articles were finally included for the review. Non-adherence factors were identified and allocated using the WHO classification of factors for non-adherence. Each of these groups contains a subset of factors that have been shown to influence adherence to medication, directly or indirectly, according to literature findings. Conclusions: The results of the review indicate that sociodemographic factors, factors related to the patient, factors related to the treatment, condition-related and health system-related factors are good categories of predictors for both adherence and non-adherence to immunosuppressive medication in LT patients. This list of factors may help physicians in the treating and recognizing of patients with a potential risk of non-adherence and it could help in the designing of new tools to better understand non-adherence after LT and targeted interventions to promote adherence of LT patients.

Investigating the risk factors for nonadherence to analgesic medications in cancer patients: Establishing a nomogram model

ObjectiveThe substantial prevalence of nonadherence to analgesic medication among individuals diagnosed with cancer imposes a significant strain on both patients and healthcare resources. The objective of this study is to develop and authenticate a nomogram model for assessing nonadherence to analgesic medication in cancer patients. MethodsClinical information, demographic data, and medication adherence records of cancer pain patients were gathered from the Affiliated Hospital of Chengde Medical University between April 2020 and March 2023. The risk factors associated with analgesic medication nonadherence in cancer patients were analyzed using the least absolute selection operator (LASSO) regression model and multivariate logistic regression. Additionally, a nomogram model was developed. The bootstrap method was employed to internally verify the model. Discrimination and accuracy of the nomogram model were evaluated using the Concordance index (C-index), area under the receiver Operating characteristic (ROC) curve (AUC), and calibration curve. The potential clinical value of the nomogram model was established through decision curve analysis (DCA) and clinical impact curve. ResultsThe study included a total of 450 patients, with a nonadherence rate of 43.33%. The model incorporated seven factors: age, address, smoking history, number of comorbidities, use of nonsteroidal antiinflammatory drugs (NSAIDs), use of opioids, and PHQ-8. The C-index of the model was found to be 0.93 (95% CI: 0.907–0.953), and the ROC curve demonstrated an AUC of 0.929. Furthermore, the DCA and clinical impact curves indicate that the built model can accurately predict cancer pain patients' medication adherence performance. ConclusionsA nomogram model based on 7 risk factors has been successfully developed and validated for long-term analgesic management of cancer patients.

Longitudinal adherence to surveillance for late effects of cancer treatment: a population-based study of adult survivors of childhood cancer.

Adult survivors of childhood cancer are at elevated risk of morbidity and mortality compared to the general population, but their adherence to lifelong periodic surveillance is suboptimal. We aimed to examine adherence to surveillance guidelines for high-yield tests and identify risk factors for nonadherence in adult survivors of childhood cancer. In this retrospective, population-based cohort study, we used health care administrative data from Ontario, Canada, to identify adult survivors of childhood cancer diagnosed between 1986 and 2014 who were at elevated risk of therapy-related colorectal cancer, breast cancer, or cardiomyopathy. Using a Poisson regression framework, we assessed longitudinal adherence and predictors of adherence to the Children's Oncology Group surveillance guideline. Among 3241 survivors, 327 (10%), 234 (7%), and 3205 (99%) were at elevated risk for colorectal cancer, breast cancer, and cardiomyopathy, respectively. Within these cohorts, only 13%, 6%, and 53% were adherent to recommended surveillance as of February 2020. During a median follow-up of 7.8 years, the proportion of time spent adherent was 14% among survivors at elevated risk for colorectal cancer, 10% for breast cancer, and 43% for cardiomyopathy. Significant predictors of adherence varied across the risk groups, but higher comorbidity was associated with adherence to recommended surveillance. Survivors of childhood cancer in Ontario are rarely up to date for recommended surveillance tests. Tailored interventions beyond specialized clinics are needed to improve surveillance adherence.

Supplemental Nutrition Assistance Program and Adherence to Antihypertensive Medications

Nonadherence to antihypertensive medications is associated with uncontrolled blood pressure, higher mortality rates, and increased health care costs, and food insecurity is one of the modifiable medication nonadherence risk factors. The Supplemental Nutrition Assistance Program (SNAP), a social intervention program for addressing food insecurity, may help improve adherence to antihypertensive medications. To evaluate whether receipt of SNAP benefits can modify the consequences of food insecurity on nonadherence to antihypertensive medications. A retrospective cohort study design was used to assemble a cohort of antihypertensive medication users from the linked Medical Expenditure Panel Survey (MEPS)-National Health Interview Survey (NHIS) dataset for 2016 to 2017. The MEPS is a national longitudinal survey on verified self-reported prescribed medication use and health care access measures, and the NHIS is an annual cross-sectional survey of US households that collects comprehensive health information, health behavior, and sociodemographic data, including receipt of SNAP benefits. Receipt of SNAP benefits in the past 12 months and food insecurity status in the past 30 days were assessed through standard questionnaires during the study period. Data analysis was performed from March to December 2021. Status of SNAP benefit receipt. The main outcome, nonadherence to antihypertensive medication refill adherence (MRA), was defined using the MEPS data as the total days' supply divided by 365 days for each antihypertensive medication class. Patients were considered nonadherent if their overall MRA was less than 80%. Food insecurity status in the 30 days prior to the survey was modeled as the effect modifier. Inverse probability of treatment (IPT) weighting was used to control for measured confounding effects of baseline covariates. A probit model was used, weighted by the product of the computed IPT weights and MEPS weights, to estimate the population average treatment effects (PATEs) of SNAP benefit receipt on nonadherence. A stratified analysis approach was used to assess for potential effect modification by food insecurity status. This analysis involved 6692 antihypertensive medication users, of whom 1203 (12.8%) reported receiving SNAP benefits and 1338 (14.8%) were considered as food insecure. The mean (SD) age was 63.0 (13.3) years; 3632 (51.3%) of the participants were women and 3060 (45.7%) were men. Although SNAP was not associated with nonadherence to antihypertensive medications in the overall population, it was associated with a 13.6-percentage point reduction in nonadherence (PATE, -13.6 [95% CI, -25.0 to -2.3]) among the food-insecure subgroup but not among their food-secure counterparts. This analysis of a national observational dataset suggests that patients with hypertension who receive SNAP benefits may be less likely to become nonadherent to antihypertensive medication, especially if they are experiencing food insecurity. Further examination of the role of SNAP as a potential intervention for preventing nonadherence to antihypertensive medications through prospectively designed interventional studies or natural experiment study designs is needed.

N17 Exploration of medication non-adherence in Inflammatory Bowel Disease patients: A systematic review

Abstract Background Inflammatory bowel disease (IBD) has recognised medications to maintain remission and prevent relapse. Yet between 53–75% of people with IBD do not take medications as prescribed. Identifying and improving medication adherence in IBD is a primary treatment goal to keep symptoms quiescent. This systematic review aims to identify why people are adherent and non-adherent to IBD medications. Methods Studies exploring medication adherence for IBD conducted between 2012-2022, were identified in six electronic databases. The quality of quantitative and qualitative studies was assessed using a scoring system or the Critical Appraisal Skills Programme, respectively. Results 39,603 participants were included across 79 studies investigating IBD medication adherence, mainly from single outpatient clinic populations, using cross-sectional surveys. Most data were quantitative, rated medium quality. Few studies were based around a theory to explain adherence. Non-adherence was most typically measured using a version of the Morisky Medication Adherence Scale or the study’s own self-report questionnaire, with non-adherence ranging from 4.3%-88.9%. In multivariable analysis of quantitative data, younger age and female gender were usually associated with non-adherence. The presence of smoking, psychological issues (depression, treatment concerns, anxiety) or lower social status were also significant non-adherence risk factors. Most typically investigated were clinical variables, many being significantly related with non-adherence, including medication type (specifically 5-ASA), route (oral, rectal, subcutaneous, intravenous), high and low disease activity and poor disease/medication knowledge. Significant results were often contradictory between studies, as was the relationship direction with non-adherence. Forgetting medication was the main reason for non-adherence in qualitative interviews, with side effects, costs, medication concerns and busy lifestyle also variables. Cohort-specific factors were reported for non-adherence in pregnant women, adolescents and patients during COVID.Conclusion Adherence to treatment is essential in IBD. Yet a large and confusing literature exists regarding factors underpinning non-adherence. Clinicians should be aware of those non-modifiable factors, to help identify relevant patients and support their treatment programme. Potentially modifiable factors including medication regimes, route and patient knowledge, could be targeted to improve adherence in IBD. Theoretically informed interventions need to be developed. A successful evidence-based intervention supporting medication adherence could help improve quality of life for patients living with IBD, whilst providing patient-centred care and minimising health costs.

Risk Factors for Non-Adherence to Pharmacist or Non-Pharmacist Explanations on Preoperative Medication Discontinuation: A Retrospective Japanese Study.

The risk factors for non-adherence to pharmacist or non-pharmacist explanations of preoperative medication discontinuation are unknown. The primary outcome of this study was to determine whether the final explainer's occupation was a risk factor for non-adherence. The secondary outcomes were to determine the risk factors for non-adherence after limiting the departments or adjusting for age. We retrospectively examined the data (including patient age, sex, prescription medications, comorbidities, presence of roommate, and number of days between receiving explanation and surgery) of 1132 patients on medications that could affect surgery at a Japanese university hospital between April 1, 2017, and March 31, 2020. The primary endpoint was whether the occupation of the last person explaining medication discontinuation to the patient was an independent risk factor for non-adherence (age ≥65 years vs <65 years). Secondary endpoints included subgroup analyses in urological, gastrointestinal, and otolaryngological areas, as well as a sensitivity analysis (age as a continuous variable) to confirm the validity of the primary endpoint results. A multivariate binary logistic regression identified independent non-adherence risk factors. The main analysis showed that discontinuing two or more medications was a risk factor for non-adherence (adjusted odds ratio (AOR): 1.67; 95% confidence interval (CI): 1.13-2.47; p = 0.01). However, in analyses coordinated by department (urological, gastrointestinal, and otolaryngological), ≥65 (versus <65) years of age was determined as a risk factor for increased nonadherence (AOR: 2.27, 95% CI: 1.11-4.63; p=0.024). Age-adjusted analysis (continuous variables) showed similar results to the primary endpoint (AOR: 1.68, 95% CI: 1.14-2.49, p = 0.009). Two or more medications, and not the final explainer's occupation, were associated with pre-surgery medication non-adherence. To prevent non-adherence, pharmacists and non-pharmacists should educate patients about preoperative medication discontinuation. These findings could help identify high-risk non-adherence patients.

The Association Between Mild Cognitive Impairment and Medication Non-adherence Among Elderly Patients With Chronic Diseases.

Medication adherence is essential for optimizing treatment outcomes in elderly patients who frequently contend with multiple chronic diseases requiring pharmacological interventions. Mild cognitive impairment (MCI) is a prevalent cognitive disorder among the elderly population, but its impact on medication adherence among elderly patients is still uncertain. This cross-sectional study aimed to investigate the impact of MCI on medication adherence among elderly patients. A cross-sectional study of 436 elderly patients with common chronic diseases aged 60 years and above was conducted. Medication adherence was measured using the Morisky Medication Adherence Scale-8 (MMAS-8). MCI was screened, and cognitive status was assessed using the Mini-Mental State Examination (MMSE) questionnaire. Multivariate logistic regression analysis was performed to identify independent risk factors of medication non-adherence. Among these elderly patients, 212 (48.6%) had poor medication compliance, and 181 (41.5%) had MCI. Preliminary analyses showed a significant association between MCI and medication non-adherence among elderly patients (odds ratio (OR)=3.95, 95% confidence interval (95%CI)=2.63-5.92, P<0.001). Multivariate logistic regression analysis showed that MCI was independently associated with the risk of medication non-adherence among elderly patients (adjusted OR=2.64, 95%CI=1.64-4.24, P<0.001). Additionally, adverse drug reaction and poor evaluation of medication effects were also independently associated with medication non-adherence in elderly patients (P<0.05). Findings from this cross-sectional study proved the substantial adverse impact of MCI on medication adherence among elderly patients, and MCI was an independently influential factor of medication non-adherence. Identifying the MCI status early and providing interventions to enhance medication adherence are undoubtedly essential for optimizing healthcare outcomes in elderly patients.

Assessment and Prediction of Adherence to Methotrexate Using Three Self-Report Questionnaires in Patients with Rheumatoid Arthritis.

Introduction: Methotrexate (MTX) reduces rheumatoid arthritis activity and ameliorates the long-term functional status in these patients. To achieve this aim, patients need to take their medication regularly. Nevertheless, non-adherence to MTX still remains a considerable issue in the management of rheumatoid arthritis. Objective: This study aimed to estimate the adherence to methotrexate in patients with rheumatoid arthritis and to identify specific non-adherence risk factors. Methods: A cross-sectional study included 111 patients (mean age 56.2 ± 10.6 years, 78.4% female, and mean disease duration 6 years (3-13)). Three adherence self-assessment questionnaires were used: the Compliance-Questionnaire-Rheumatology (CQR19), the Medication Adherence Reports Scale (MARS-5), and the Visual Analogue Scale (VAS). We also collected demographic data, disease and treatment characteristics, and anxiety/depression estimation results (Hospital Anxiety and Depression Scale, HADS). Results: Adherence was identified in 48.6% of patients (COR19), 70.3% of patients (MARS-5), and 82.9% of patients (VAS questionnaire). All three questionnaires displayed a significant positive mutual correlation: CQR19 with MARS-5 and VAS (r = 0.364, r = 0.329, respectively, p < 0.001 for both) and between the VAS and MARS-5 scores (r = 0.496, p < 0.001). A significant positive prediction was shown for urban residence (0.347 (0.134-0.901), p = 0.030) using the MARS-5, female sex (0.264 (0.095-0.730), p = 0.010) according to the CQR19, and for a dose of methotrexate (0.881 (0.783-0.992), p = 0.036) using the VAS, while negative predictions were shown for comorbidity number (3.062 (1.057-8.874), p = 0.039) and depression (1.142 (1.010-1.293), p = 0.035) using the MARS-5 and for older age (1.041 (1.003-1.081), p = 0.034) according to the CQR19. The use of steroids was a significant positive predictor in all three questionnaires and remained an independent predictor for methotrexate adherence in the multivariate logistic regression. Conclusions: We showed non-adherence to methotrexate in a significant number of patients using all three questionnaires. Concomitant steroid therapy emerged as an independent positive predictor for adherence.

Identifying Risk Factors for Appointment No-Shows in a Pediatric Orthopaedic Surgery Clinic

Background: Appointment nonadherence in pediatric orthopaedic clinics negatively affects patient outcomes. While previous studies have examined risk factors for missed appointments, there is a lack of such research in pediatric orthopaedics. This study tests the hypothesis that pediatric orthopaedic patients with greater socioeconomic risk are more likely to miss appointments. Our objective is to identify risk factors contributing to missed appointments.Methods: A retrospective chart review was conducted of all visits in an outpatient pediatric orthopaedic clinic and affiliated Midwest level 1 academic hospital in 2019. Possible covariates with appointment attendance collected included sociodemographic information such as age, gender (male/female), race/ethnicity (non-Hispanic White, Black, Hispanic/Latinx, Other), and insurance (Commercial, Medicaid, Medicaid HMO, Other). The main study outcome was appointment status, defined as either “No-Show” or “Attended/Completed.” Using census data, the Area Deprivation Index (ADI) was determined for a matched case (“No-Show”) control sample to quantify socioeconomic risk. Factors associated with appointment nonadherence were analyzed with a logistic regression model.Results: Out of 10,078 total encounters included in the study, there was a no-show rate of 6.61%. Significant predictors of no-show included race (p<0.001), insurance type (p<0.001), and lag days between appointment scheduling and completion (p<0.001). In a matched case-control sub-study, ADI was positively associated with increased odds of no-show (p<0.001), making this model unique from other studies.Conclusions: This data informs pediatric orthopaedic providers of risk factors for appointment nonadherence in order to individualize patient care plans based on specific socioeconomic needs. Efforts to improve appointment adherence may reduce the rate of poor health outcomes and health disparities in underserved areas. Next steps include qualitative assessments to articulate the experience of families who miss appointments to develop a greater standard for more accessible patient-centered care.Level of Evidence: Retrospective chart review (Level III) Key Concepts•There appears to be a link between pediatric orthopaedic appointment adherence and socioeconomic factors.•The Area Deprivation Index is a useful tool to quantify socioeconomic risk in the clinical setting.•Further research is needed to understand the specific reasons patients miss appointments.

Trends, characteristics, race, and ethnicity associated with nonadherence to antidepressants among breast cancer survivors with depression.

BACKGROUND: Breast cancer is the most diagnosed cancer in the United States, and half of breast cancer survivors experience major depressive disorders (hereafter depression). Healthcare Effectiveness Data and Information Set (HEDIS) quality measures evaluating depression treatment practices recommend uninterrupted antidepressant treatment for 3 months in the acute phase and 3 months in the continuation phase for the general population. However, little is known about the extent of and trends in antidepressant nonadherence among breast cancer survivors with depression, which may impact adherence to breast cancer treatment, potentially leading to breast cancer recurrence and other adverse outcomes. OBJECTIVE: To examine the trends and characteristics associated with antidepressant nonadherence among breast cancer survivors with depression in the United States. METHODS: We conducted cross-sectional analyses of Surveillance, Epidemiology, and End Results linked with Medicare data (2010-2019) for women with breast cancer and depression who newly initiated antidepressant use. Using HEDIS measures of nonadherence (ie, antidepressant prescription coverage ≤84 days of the 114-day acute phase or ≤180 days of the 231-day continuation phase), we calculated the annual crude prevalence of antidepressant nonadherence and examined trends using unadjusted logistic regression. Multivariable logistic regression identified characteristics associated with antidepressant nonadherence. RESULTS: Among 9,452 eligible breast cancer survivors with depression (aged ≥65 years = 84% and White race = 82%), the crude prevalence of antidepressant nonadherence decreased from 2010 to 2019 for both the acute (49% to 40%; Ptrend<0.001) and continuation (67% to 57%; Ptrend<0.001) phases. Factors significantly associated with higher odds of antidepressant nonadherence in both the acute and continuation phases included Black race (odds ratios [ORs] [95% CI] for the acute/continuation phases: 2.0 [1.7-2.4]/2.0 [1.7-2.3]) and Hispanic ethnicity (1.5 [1.1-1.9]/2.2 [1.6-2.9]) compared with White race; receiving the first antidepressant from an oncologist vs a psychiatrist (1.4 [1.1-1.8]/1.6 [1.2-2.0]); and using antidepressants not recommended for older adults by the Beers criteria (2.2 [1.6-2.9]/2.0 [1.4-2.7]). Factors associated with lower odds of antidepressant nonadherence in both phases included receiving lymph node dissection (0.7 [0.5-0.9]/0.7 [0.5-0.9]), receiving endocrine therapy (0.9 [0.8-0.9]/0.8 [0.7-0.9]), having a higher National Cancer Institute comorbid index (0.8 [0.7-0.8]/0.9 [0.8-0.9]), having a follow-up visit with a psychiatrist (0.9 [0.8-0.9]/0.9 [0.8-0.9]), and switching to different antidepressants (0.7 [0.6-0.8]/0.7 [0.7-0.8]). CONCLUSIONS: Despite antidepressant nonadherence prevalence decreasing from 2010 to 2019, over half of breast cancer survivors with depression and Medicare were nonadherent in the continuation phase. Patients with identified nonadherence risk factors may benefit from close monitoring and targeted interventions. DISCLOSURES: Wei-Hsuan Lo-Ciganic reported grants from the National Institute on Drug Abuse (R01DA044985 and R01DA050676), the National Institute on Aging (R21AG060308), the National Institute of Mental Health (R01MH121907), Merck Sharp & Dohme, Bristol Myers Squibb, the Richard King Mellon Foundation at the University of Pittsburgh, the Clinical and Translational Science Institute of the University of Florida, the Pharmaceutical Research and Manufacturers of America (PhRMA) Foundation, and the US Department of Veterans Affairs outside the submitted work; in addition, Wei-Hsuan Lo-Ciganic has a patent pending for U1195.70174US00. Haesuk Park reported grants from Bristol Myers Squibb/Pfizer Alliance American Thrombosis Investigator Initiated Research Program (ARISTA-USA) outside the submitted work. Juan M. Hincapie-Castillo reported grants from Merck outside the submitted work. Debbie Wilson reported grants from the National Institute on Drug Abuse, the National Institute on Aging, Merck Sharp & Dohme, and Bristol Myers Squibb outside the submitted work; and serving as an editorial board member for the Journal of Pharmacy Technology. Ching-Yuan Chang's contributions to this manuscript were made while at the University of Florida College of Pharmacy. Ching-Yuan Chang is currently employed by Vertex Pharmaceuticals, Inc. Vertex did not fund or have any involvement in this study or publication. Vakaramoko Diaby is currently employed by Otsuka, Inc. Otsuka did not fund or have any involvement in this study or publication. No other disclosures were reported.

Factors Associated With Adherence to First-line Antiviral Therapy Among Commercially Insured Patients With Chronic Hepatitis B.

Nonadherence to antiviral therapy can lead to poor clinical outcomes among patients with chronic hepatitis B (CHB). We used a claims database to evaluate risk factors for nonadherence to antiviral therapy among commercially insured patients with CHB in the United States. We obtained data for commercially insured adult patients with CHB prescribed entecavir or tenofovir disoproxil fumarate (TDF) in 2019. Primary outcomes were adherence to entecavir and adherence to TDF. Enrollees with a proportion of days covered (PDC) ≥80% were considered adherent. We presented adjusted odds ratios (AORs) from multivariate logistic regressions. Eighty-three percent (n = 640) of entecavir patients were adherent, and 81% (n = 687) of TDF patients were adherent. Ninety-day supply (vs 30-day supply; AOR, 2.21; P < .01), mixed supply (vs 30-day supply; AOR, 2.19; P = .04), and ever using a mail order pharmacy (AOR, 1.92, P = .03) were associated with adherence to entecavir. Ninety-day supply (vs 30-day supply; AOR, 2.51; P < .01), mixed supply (vs 30-day supply; AOR, 1.82; P = .04), and use of a high-deductible health plan (vs no high-deductible health plan; AOR, 2.29; P = .01) were associated with adherence to TDF. Out-of-pocket spending of >$25 per 30-day supply of TDF was associated with reduced odds of adherence to TDF (vs <$5 per 30-day supply of TDF; AOR, 0.34; P < .01). Ninety-day and mixed-duration supplies of entecavir and TDF were associated with higher fill rates as compared with 30-day supplies among commercially insured patients with CHB.

Post-sign-off events in infectious disease consultation and the incidence of nonadherence to infectious disease recommendations in the post-sign-off period: A retrospective cohort study.

Infectious diseases (ID) consultation has contributed to improving outcomes in hospitalized patients. However, the timing of signing off on ID consultation varies, depending on the consulting ID physician. We studied the descriptive epidemiology of treatment-related adverse events (ADEs) occurring after the ID physician has signed off on consultation and the epidemiology and predictors of nonadherence to ID recommendations in the post-sign-off period. This retrospective cohort study was conducted at a Japanese tertiary-care center. All patients who received ID consultation between January and December 2019 and treatment recommendations for a confirmed or suspected infectious disease were included. The incidence of any treatment-related ADE after signing off, nonadherence to the final ID recommendations, and factors associated with nonadherence to the ID recommendations were identified. In total, 367 patients receiving ID consultation were included. The incidence of post-sign-off events during index hospitalization was 59 (16.1%) of 367, with antimicrobial-associated ADEs accounting for 26 events (44.1%) and HAIs accounting for 13 events (22.0%). After excluding patients who discontinued treatment, nonadherence to ID recommendations was identified in 55 (15.7%) of 351 patients. Newly acquired HAIs during the index hospitalization after signing off on ID consultation was an independent risk factor for nonadherence to ID recommendations (adjusted odds ratio, 3.78; 95% confidence interval, 1.14-12.52). Post-sign-off events were common and led to nonadherence to ID recommendations during the post-sign-off period. Because this nonadherence occurs for various reasons, patients may require continued attention after signing off to ensure their safety.

Association Between Nonadherence and Transient Hyperuricemia in Pediatric Kidney Transplantation

Nonadherence among pediatric transplant recipients is a significant problem that reduces graft survival and leads to poor kidney graft outcomes. It is, however, extremely difficult to detect during a regular follow-up. This study, therefore, aimed to investigate the risk factors involved in nonadherence, focusing on unexplained transient hyperuricemia in pediatric kidney transplant (KTx) recipients at a single pediatric center. This retrospective study included 167 patients who underwent KTx at our pediatric center. A Cox proportional hazards analysis was performed to evaluate the risk of nonadherence using the following factors: age, sex, body mass index SD score, transient hyperuricemia, hypertension, and follow-up period. Nonadherence was identified in 19 patients (11%), with the average (SD) age and post-KTx duration at diagnosis being 17.21 (4.73) years and 79.21 (38.77) months, respectively. Thirty-four patients (20%) were diagnosed with transient hyperuricemia at a median of 14 months after KTx. On multivariate Cox regression analysis, transient hyperuricemia was the only independent risk factor for nonadherence after KTx. Transient hyperuricemia was identified as one of the risk factors for nonadherence after KTx; therefore, careful monitoring for transient hyperuricemia may allow early detection of nonadherence.

Risk Factors for Non-Adherence to Inhaled Corticosteroids in Preschool Children with Asthma.

Non-adherence to asthma controllers increases morbidity among school-aged children. This study aimed to determine non-adherence risk factors in preschool children with asthma. We investigated 172 children &lt;6 years diagnosed with asthma in 2018 and analyzed baseline characteristics and loss of control events extracted from the medical records for four years following diagnosis. At end of follow-up, 79 children had a prescription of inhaled corticosteroids (ICS) and were included in the analyses. Adherence was assessed in a two-year period through pharmacy claims using percentage of days covered (PDC) analyzed dichotomously with non-adherence defined as PDC &lt; 80% and using adherence ratio (AR) defined as days with medical supply divided by days without. Of the 79 children, 59 (74.7%) were classified as non-adherent. In analyses adjusted for sex, age and exacerbations prior to inclusion, adherence was positively associated with having had a loss of control event requiring a step-up in asthma controller (aAR:2.34 [1.10;4.98], p = 0.03), oral corticosteroids (aAR:2.45 [1.13;5.34], p = 0.026) or redeeming a short-acting b2-agonist prescription (aAR:2.91 [1.26;6.74], p = 0.015). Further, atopic comorbidity was associated with increased adherence (aAR:1.18 [1.01;1.37], p = 0.039), whereas having a first degree relative with asthma was associated with worse adherence (aAR:0.44 [0.23;0.84], p = 0.015). This study found poor adherence to ICS among three quarters of preschool children with asthma. Increasing adherence was associated with atopic comorbidity and loss of control events, whereas lower adherence was associated with atopic predisposition. These findings should be considered to improve adherence in preschool children with asthma.

Nasal polyposis is a risk factor for nonadherence to CPAP treatment in sleep apnea: the population-based DISCOVERY study.

The aim was to evaluate nasal polyposis as a risk factor for nonadherence to continuous positive airway pressure (CPAP) treatment in patients with obstructive sleep apnea (OSA). This was a population-based, longitudinal analysis of patients starting CPAP treatment for OSA in the Swedish quality registry Swedevox between 2010 and 2018. Data were cross-linked with national registries. The impact of nasal polyposis on CPAP adherence was analyzed using uni- and multivariable logistic and linear regression models. Relevant confounders (age, sex, usage of nasal and oral steroids) were identified using a direct acyclic graph. Of 20,521 patients with OSA on CPAP treatment (29.5% females), 331 (1.6%) had a diagnosis of nasal polyposis at baseline. At the 1-year follow-up, nasal polyposis was associated with an increased risk of CPAP usage < 4 hours/night (unadjusted odds ratio [OR] 1.21; 95% confidence interval [CI] 0.95-1.55); adjusted OR 1.38; 95% CI 1.08-1.77). In this group, unadjusted nocturnal mean CPAP usage was 15.4 minutes (95% CI -31.62 to 0.83) shorter and was an adjusted 24.1 minutes (95% CI -40.6 to -7.7) shorter compared with patients with OSA without nasal polyposis. Nasal polyposis is associated with reduced CPAP usage per night. These results highlight the importance of diagnosing nasal polyposis in patients with OSA before the start of CPAP treatment. Treatment of the condition may improve adherence, efficacy, and patient outcomes. Bengtsson C, Grote L, Ljunggren M, Ekström M, Palm A. Nasal polyposis is a risk factor for nonadherence to CPAP treatment in sleep apnea: the population-based DISCOVERY study. J Clin Sleep Med. 2023;19(3):573-579.

Predicting psychosocial risk in pediatric kidney transplantation: An exploratory cluster analysis of a revised Pediatric Transplant Rating Instrument

The Pediatric Transplant Rating Instrument (P-TRI) is a 17-item scale developed to assess psychosocial risk factors for poor outcomes after solid organ transplantation. Research has identified the limitations of the original instrument and proposed revisions to improve clinical utility. This project examined patterns of risk in children being evaluated for kidney transplant using a revised P-TRI. A multidisciplinary kidney transplant team revised the P-TRI. A social worker and a psychologist collaboratively completed the modified instrument for 37 children after the psychosocial pretransplant evaluation. Electronic medical records were reviewed for transplant status (transplanted, active waitlist, inactive) 1 year later. Exploratory cluster analyses and chi-square tests examined patterns of risk and correlates with cluster membership. Three clusters were identified. The high-risk group (29.7%) had difficulties with medication and appointment adherence, strained relationships with the medical team, and the presence of parent psychiatric history. The medium-risk group (35.1%) had difficulties with parent knowledge, financial strain, and risk factors for medication nonadherence. The low-risk group (35.1%) demonstrated no difficulties with adherence or financial strain. Clusters were prospectively associated with transplant status, such that those in the high-risk group were less likely to be transplanted within 1 year post-evaluation. The revised P-TRI demonstrated good construct validity as risk level appeared to be associated with transplant listing status 1 year post-evaluation. These results suggest that standardized pretransplant psychosocial risk assessment tools may have value in optimizing transplant access if they can be paired with targeted, multidisciplinary interventions to address concerns early in the transplant process.

Polypharmacy and medication fill nonadherence in a population-based sample of adolescent and young adult cancer survivors, 2008-2017.

We examined the association between polypharmacy-an established risk factor for nonadherence in the elderly-and medication fill nonadherence in a large national sample of adolescent and young adult cancer survivors (AYAs) in the USA. We pooled data (2008-2017) from the Medical Expenditure Panel Survey. We defined polypharmacy as ≥ 3 unique medications prescribed, based on self-report and pharmacy data, and medication fill nonadherence as self-reported delay or inability to obtain a necessary medication. We estimated prevalence of medication fill nonadherence among AYAs (age 18-39years with a cancer history). We used logistic regression to estimate the association between (1) polypharmacy and medication fill nonadherence in AYAs, and (2) total number of medications prescribed and medication fill nonadherence, controlling for sex, number of chronic conditions, disability, and survey year. AYAs (n = 598) were predominantly female (76.2%), age 30-39years (64.9%), and non-Hispanic White (72.1%). Nearly half were poor (19.0%) or near-poor/low income (21.6%). One in ten AYAs reported medication fill nonadherence (9.75%). Of these, more than 70% cited cost-related barriers as the reason. AYAs with polypharmacy had 2.49 times higher odds of medication fill nonadherence (95%CI 1.11-5.59), compared to those without polypharmacy. Odds of medication fill nonadherence increased by 16% with each additional medication prescribed (AOR 1.16, 95% CI 1.07-1.25). Polypharmacy may be an important risk factor for medication fill nonadherence in AYAs in the USA. Improving AYAs' medication adherence requires eliminating cost-related barriers, particularly for those with polypharmacy.

Prevalence and risk factors of medication non-adherence in children with inflammatory bowel disease

Objective: To investigate the prevalence and risk factors of medication non-adherence in children with inflammatory bowel disease (IBD). Methods: A cross-sectional study was conducted in Children's Hospital, Zhejiang University School of Medicine from September 2020 to March 2022 and 112 children with IBD were enrolled. Their general information, medication adherence, and parental disease-related knowledge were collected by questionnaires. According to the medication adherence score, the children were divided into the adherence group (score of 6 to 8) and the non-adherence group (score of <6), then the demographic and clinical characteristics of the two groups were compared. Subsequently, a multivariate binary Logistic regression analysis was performed to determine the risk factors of medication non-adherence. Results: Of the 112 children, 76 were males and 36 females, with the age of 12.9 (9.5, 14.0) years. There were 50 (44.6%) in the non-adherence group and 62 (55.4%) in the adherence group. Regarding the demographic and clinical characteristics, the results showed that the dosage frequency and the parental disease related knowledge were associated with medication non-adherence (both P<0.05). Multivariate binary Logistic regression analysis showed that compared with 0-6 years old children, the risk of medication non-adherence was significantly increased in children aged 7-12 years (OR=9.30, 95%CI 1.58-54.87, P=0.014) and 13-18 years (OR=8.26, 95%CI 1.49-45.85, P=0.016); and the risk was also significantly increased in children who took medication twice or more per day (OR=12.88, 95%CI 2.77-59.80, P=0.001) compared with children who took medication once per day. Meanwhile, the parental score of the questionnaire on Crohn's disease and ulcerative colitis related knowledge (OR=0.76, 95%CI 0.66-0.89, P=0.001) was also a significant risk factor. Conclusions: Medication non-adherence is common in children with IBD. Children older than 7 years, a dosage frequency of twice or more per day, and parental poor disease-related knowledge are the independent risk factors for medication non-adherence in children with IBD. Clinicians should pay attention to promoting patients' adherence to improve clinical outcomes.

Individual and Community-Level Characteristics and Adherence to Specialty Medications

Background: Understanding risk factors for nonadherence can help specialty pharmacies optimize resources to prevent nonadherence and inform risk-stratification processes. Objective: To determine which individual and community-level characteristics are associated with nonadherence to specialty medications. Methods: We analyzed a cohort of patients enrolled in a prospective randomized controlled trial having filled a specialty medication at least 4 times in the previous 12 months with a proportion of days (PDC) covered < 0.90. We collected patient age, gender, race, medication administration type, therapy start date, home address, insurance type, and online patient portal status from the electronic health record. An ordinal logistic regression model was used to assess the association of nonadherence with individual and community-level patient characteristics. Results: Most patients were female (68%), white (82%), and held commercial insurance (58%) with a median age of 53 (interquartile range [IQR] 40, 64) years. Patients were mostly from the adult rheumatology (35%), multiple sclerosis (20%) and lipid (17%) clinics. Given a 10-year increase in age, patients had lower odds of having lower PDC (odds ratio [OR] = 0.82, 95% confidence interval [CI] = 0.71-0.94, P = 0.005). Patients on therapy greater than or equal to 1 year had half the odds of having lower PDC relative to patients on therapy less than 1 year (OR = 0.52, CI = 0.35 – 0.75, P < 0.001). No statistically significant associations were found between PDC and gender, race, insurance type, route of administration, clinic type, patient portal status, median income, percent receiving government assistance, or percent with no health insurance. Conclusion: Patients with younger age and shorter duration on treatment may be at-risk for lower adherence. Specialty pharmacies may benefit from targeting adherence interventions to these groups.