Methods for evaluation of medication adherence and persistence using automated databases

Healthcare resource utilisation and economic burden of patients with adequate and inadequate responses to biological and targeted synthetic disease-modifying antirheumatic drugs for rheumatoid arthritis in Japan

OBJECTIVE

To compare healthcare resource utilisation (HCRU) and direct costs between responders versus non-responders to advanced therapies for rheumatoid arthritis (RA).

METHODS

Patients initiating ≥1 advanced therapy (October 2018 - September 2019) with ≥1 RA claim (6-month pre-index period), ≥2 RA claims (any period), and ≥12 months follow-up were identified from the Medical Data Vision claims database. HCRU and all-cause and RA-related costs [direct medical, emergency department (ED), laboratory, and pharmacy] were compared between responders and non-responders. Adjusted incidence rate ratios (IRRs) for HCRU or cost were calculated via multivariable analyses.

RESULTS

Among 2446 patients [non-responders (n = 1817); responders (n = 629)], non-responders had significantly longer hospitalisation days [IRR: 1.8 (95% CI: 1.2 - 2.6)], and significantly more ED visits [2.5 (1.5 - 4.2)] and prescriptions [1.1 (1.1 - 1.2)]. Mean all-cause hospital/outpatient medical costs were significantly higher for non-responders [1.4 (1.3 - 1.6), ¥530,895 versus ¥357,009 ($3992 versus $2684) for responders; ¥173,886 ($1307) difference]; RA-related medical costs showed a similar trend [¥351,306 vs ¥253,030 ($2641 vs $1902); ¥98,276 ($739) difference]. No differences between responders and non-responders were observed in mean all-cause and RA-related pharmacy costs.

CONCLUSIONS

Non-responders to advanced therapies had greater HCRU and all-cause/RA-related direct costs as compared with responders, suggesting a need for more effective RA therapies to reduce the economic burden associated with non-response.

Medication adherence and persistence in heart failure: A protocol for a systematic review and meta-analysis

OBJECTIVE

To study medication adherence and persistence among heart failure patients, assess the methods utilised for estimating medication adherence, and identify optimal adherence thresholds and their impact on clinical outcomes.

METHODS

A systematic search will be conducted in PubMed, Embase, CINAHL, Web of Science, and Scopus databases. Observational studies assessing medication adherence or persistence among heart failure patients via electronic healthcare databases will be included. A narrative synthesis will describe medication adherence and persistence reported and methods used to measure it. A meta-analysis will be attempted to evaluate the impact of secondary medication adherence (multiple and by drug class) on clinical outcomes, including hospitalisation, emergency visits, and mortality. The I2 statistic will be employed to study heterogeneity and the GRADE framework to evaluate evidence certainty. This protocol follows the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines and is registered with the Prospective Register of Ongoing Systematic Reviews CRD42024509542.

DISCUSSION

This study aims to evaluate medication adherence and persistence in heart failure management through electronic health databases, intending to explore widely used measurement methods and their limitations, and to identify adherence thresholds associated with improved clinical outcomes. By examining these aspects, we anticipate proposing enhancements for future research and establishing desired adherence goals. This approach highlights the expected significance of our findings in advancing patient care and research methodologies.

Factors Influencing Adherence to Adjuvant Endocrine Therapy After Breast Cancer Surgery

BACKGROUND

Women with newly diagnosed hormone receptor-positive breast cancer are offered adjuvant endocrine therapy (AET). Despite the survival benefits of the therapy, a significant proportion of breast cancer patients do not adhere to the anti-hormonal medication.

AIMS

The purpose of this study was to analyse demographic, social, psychological and treatment-related factors influencing whether women diagnosed with early-stage breast cancer were adherent to offered therapy.

MATERIALS AND METHODS

This was a long-term retrospective, medical record study, supplemented with a questionnaire, including 81 women. Data from the Swedish Prescribed Drug Register were used to examine adherence. The women were followed for 5 years of offered AET.

RESULTS

Out of 81 women, 67 (83%) were adherent (hade taken out 80% or more of the recommended dose), 10 (12%) were Partially Adherent and 4 (5%) never accepted AET. At baseline, the Never-Adherent group members were younger, more often considered themselves healthy and seemed much more satisfied with their lives. Baseline factors that positively affected adherence were satisfaction with the vocational situation (p = 0.023) and satisfaction with family life (p = 0.040). Cumulative musculoskeletal side effects were more frequently reported among women in the Adherent group than Partially Adherent women, after both 12 and 60 months (p = 0.018 and p = 0.011, respectively). There was also a significant difference in reported cumulative psychological side effects (p = 0.049) in disfavour of the Adherent group. Moreover, according to the questionnaire where the women retrospectively were asked which side effects, they experienced during the treatment period; sexual desire was significantly lower in the Adherent group (p = 0.0402) than in the Partially Adherent group.

CONCLUSION

It is important to consider a woman's life situation, to support those who otherwise would not be able to complete AET and to help all women relieve side effects during AET. It should be investigated why some women did not start the recommended therapy.

Adherence to istradefylline in patients with Parkinson's disease: A group-based trajectory analysis

BACKGROUND

Understanding the different patterns of adherence to istradefylline treatment is essential to identifying Parkinson's disease (PD) patients who might benefit from targeted interventions.

OBJECTIVES

This descriptive study aimed to identify longitudinal istradefylline adherence patterns and to characterize factors associated with them.

METHODS

We identified PD patients aged 21-99 years who initiated istradefylline treatment in a Japanese hospital administrative database. Group-based trajectory modeling was used to model the monthly proportion of days covered over time to identify distinct 360-day adherence patterns. Factors associated with each adherence pattern were assessed using univariable multinomial logistic regression models.

RESULTS

Of 2088 eligible PD patients, 4 distinct adherence groups were identified: consistently high adherence (56.8%); rapidly declining adherence (25.8%); gradually declining adherence (8.5%); and gradually declining and then recovering adherence (9.0%). Compared to the consistently high adherence group, the other groups had the following characteristics associated with a likelihood of lower adherence: the rapidly declining adherence group received fewer dopamine agonists (63.8% vs. 69.4%), monoamine oxidase B (MAO-B) inhibitors (26.8% vs. 31.6%), and catechol-O-methyl transferase inhibitors (31.6% vs. 37.0%) and had a higher prevalence of anxiety/mood disorders (29.9% vs. 24.6%); the gradually declining adherence group received fewer MAO-B inhibitors (22.5% vs. 31.6%) and amantadine (8.4% vs. 16.1%) and had a higher prevalence of mild cognitive impairment/dementia (27.0% vs. 18.8%); and the declining and then recovering adherence group had a higher prevalence of anxiety/mood disorders (34.2% vs. 24.6%).

CONCLUSIONS

Clinicians should be aware of the heterogeneous patterns of adherence to istradefylline.

Managing cardiovascular risk factors in patients with chronic kidney disease: pharmacological and non-pharmacological interventions in the Copenhagen CKD Cohort

Background

Although cardiovascular morbidity and mortality are substantial in patients with chronic kidney disease (CKD), guideline-directed treatment of cardiovascular risk factors remains a challenge.

Methods

Observational, cross-sectional study including patients aged 30-75 years with CKD stage 1-5 without kidney replacement therapy from a tertiary hospital outpatient clinic. Data were obtained through patient interview, clinical examination, biochemical work-up, and evaluation of medical records and prescription redemptions. Guideline-directed treatment was evaluated as pharmacological interventions: antihypertensive and lipid-lowering therapy including adverse effects and adherence estimated as medication possession ratio (MPR); and non-pharmacological interventions: smoking status, alcohol consumption, body mass index (BMI), and physical activity.

Results

The cohort comprised 741 patients, mean age 58 years, 61.4% male, 50.6% CKD stage 3, 61.0% office blood pressure ≤140/90 mmHg. Antihypertensives were prescribed to 87.0%, median number of medications 2 (IQR 1;3), 70.1% received renin-angiotensin system inhibition, 25.9% reported adverse effects. Non-adherence (MPR < 80%) was present in 23.4% and associated with elevated blood pressure (OR 1.53 (95% CI 1.03;2.27)) and increased urinary albumin excretion, P < 0.001. Lipid-lowering treatment was prescribed to 54.0% of eligible patients, 11.1% reported adverse effects, and 28.5% were non-adherent, which was associated with higher LDL cholesterol, P = 0.036. Overall, 19.2% were current smokers, 16.7% overconsumed alcohol according to Danish health authority recommendations 69.3% had BMI ≥ 25 kg/m2, and 38.3% were physically active <4 hours/week. Among patients prescribed antihypertensives, 51.9% reported having received advice on non-pharmacological interventions.

Conclusions

Improved management of cardiovascular risk in patients with CKD entails intensified medical treatment and increased focus on patient adherence and non-pharmacological interventions.

Flexible Approaches Based on Multistate Models and Microsimulation to Perform Real-World Cost-Effectiveness Analyses: An Application to Proprotein Convertase Subtilisin-Kexin Type 9 Inhibitors

OBJECTIVES

This study aims to show the application of flexible statistical methods in real-world cost-effectiveness analyses applied in the cardiovascular field, focusing specifically on the use of proprotein convertase subtilisin-kexin type 9 inhibitors for hyperlipidemia.

METHODS

The proposed method allowed us to use an electronic health database to emulate a target trial for cost-effectiveness analysis using multistate modeling and microsimulation. We formally established the study design and provided precise definitions of the causal measures of interest while also outlining the assumptions necessary for accurately estimating these measures using the available data. Additionally, we thoroughly considered goodness-of-fit assessments and sensitivity analyses of the decision model, which are crucial to capture the complexity of individuals' healthcare pathway and to enhance the validity of this type of health economic models.

RESULTS

In the disease model, the Markov assumption was found to be inadequate, and a "time-reset" timescale was implemented together with the use of a time-dependent variable to incorporate past hospitalization history. Furthermore, the microsimulation decision model demonstrated a satisfying goodness of fit, as evidenced by the consistent results obtained in the short-term horizon compared with a nonmodel-based approach. Notably, proprotein convertase subtilisin-kexin type 9 inhibitors revealed their favorable cost-effectiveness only in the long-term follow-up, with a minimum willingness to pay of 39 000 Euro/life years gained.

CONCLUSIONS

The approach demonstrated its significant utility in several ways. Unlike nonmodel-based or alternative model-based methods, it enabled to (1) investigate long-term cost-effectiveness comprehensively, (2) use an appropriate disease model that aligns with the specific problem under study, and (3) conduct subgroup-specific cost-effectiveness analyses to gain more targeted insights.

Treatment patterns and factors associated with adherence in pulmonary arterial hypertension

OBJECTIVE

Improving understanding of actual pulmonary hypertension (PH) treatment adherence patterns is crucial to properly treating these patients. We aimed to primarily assess adherence to treatments used for pulmonary arterial hypertension (PAH) and chronic thromboembolic pulmonary hypertension (CTEPH) specific therapies, identify potential factors related to it and secondly describe its treatment patterns.

METHODS

A 6-month observational cross-sectional study in a tertiary care hospital was conducted. Patients with PH-targeted therapy who picked it up in the ambulatory hospital pharmacy and who had been on treatment with the same drug for at least 1 year were included. Adherence was assessed as: 1) Proportion of days covered (PDC); and 2) Simplified Medication Adherence Questionnaire (SMAQ). PDC ≥80% was considered adherent. Statistical analyses were performed to evaluate the study outcomes. Logistic regressions were estimated to identify the association between baseline characteristics and factors associated with adherence. P < 0.05 indicated statistical significance.

RESULTS

A total of 63 patients with 127 different treatments were included, 71.4% were females with a mean age (SD) of 59 (15) years. PAH was the most common diagnosis (74.6%). Double therapy was used in 39.7% of patients, being the combination of Macitentan + Tadalafil and Ambrisentan + Tadalafil the most prescribed. Endothelin receptor antagonists were the most used treatment (40.2%). Adherence according to PDC was 93.7%, showing no great differences depending on the targeted drug used, and according to SMAQ 61.9%. The agreement degree of both methods was slight (65.1%; Kappa 0.12). Only female sex (OR: 0.23, 95% CI: 0.06-0.90; p = 0.035) was associated with worse adherence in the SMAQ method but not in the PDC. Adverse events were reported by a 55.6% of participants and the perception of effective treatment was high (95.2%).

CONCLUSIONS

Adherence to PH therapy differs depending on the assessment method; PDC showed greater adherence rate than SMAQ. According to SMAQ, female sex may have a negative impact on adherence in this cohort, but PDC revealed no factors influencing it. No notable differences in adherence between treatment types were found and generally patients felt the treatments were effective in controlling their disease.

Association Between Healthy Behaviors and Health Care Resource Use With Subsequent Positive Airway Pressure Therapy Adherence in OSA

BACKGROUND

The healthy adherer effect has gained increasing attention as potential source of bias in observational studies examining the association of positive airway pressure (PAP) adherence with health outcomes in OSA.

RESEARCH QUESTION

Is adherence to PAP associated with healthy behaviors and health care resource use prior to device prescription?

STUDY DESIGN AND METHODS

Data from the IRSR Pays de la Loire Sleep Cohort were linked to health administrative data to identify proxies of heathy behaviors, including adherence to cardiovascular (CV) drugs (medical possession ratio), cancer screening tests, influenza vaccination, alcohol and smoking consumption, and drowsiness-related road accidents during the 2 years preceding PAP onset in patients with OSA. Multivariable regression analyses were conducted to evaluate the association of heathy behaviors with subsequent PAP adherence. Health care resource use was evaluated according to subsequent PAP adherence.

RESULTS

We included 2,836 patients who had started PAP therapy between 2012 and 2018 (65% of whom were PAP adherent with mean daily use ≥ 4 h/night). Being adherent to CV active drugs (medical possession ratio ≥ 80%) and a person who does not smoke were associated with a higher likelihood of PAP adherence (OR, 1.43; 95% CI, 1.15-1.77 and OR, 1.37; 95% CI, 1.10-1.71, respectively). Patients with no history of drowsiness-related road accidents were more likely to continue PAP (OR, 1.39; 95% CI, 1.04-1.87). Patients who were PAP adherent used less health care resources 2 years before PAP initiation than patients who were nonadherent (mean number of outpatient consultations: 19.0 vs 17.2, P = .003; hospitalization days: 5.7 vs 5.0; P = .04; ED visits: 30.7% vs 24.0%, P = .0002, respectively).

INTERPRETATION

Patients who adhere to PAP therapy for OSA were more health-seeking and used less health care resources prior to device initiation than patients who were nonadherent. Until the healthy adherer effect associated with PAP adherence is better understood, caution is warranted when interpreting the association of PAP adherence with CV health outcomes and health care resource use in nonrandomized cohorts.

Is the long-term poor prognosis of acute myocardial infarction in patients with mental illness mediated through their poor adherence with recommended healthcare?

BACKGROUND

Compared with patients without evidence of psychiatric symptoms, those with mental disorders experience reduced adherence with recommended healthcare and poorer clinical outcomes. This study aimed to evaluate whether the worse prognosis of patients with mental disorders after experiencing acute myocardial infarction could be fully or partially mediated by their reduced adherence to recommended healthcare.

METHODS

In this retrospective cohort population-based study, 103 389 residents in the Italian Lombardy Region who experienced acute myocardial infarction in 2007-19 were identified. Among them, 1549 patients with severe mental illness (SMI) were matched with five cohort members without evidence of mental disorders (references). Recommended healthcare (cardiac medicaments and selected outpatient services) was evaluated in the year after the date of index hospital discharge. The first occurrences of cardiovascular (CV) hospital admissions and any-cause-death were considered as endpoints. Mediation analysis was performed to investigate whether post-discharge use of recommended healthcare may be considered a mediator of the relationship between healthcare exposure and endpoints occurrence.

RESULTS

Compared with references, patients with SMI had lower adherence with recommended healthcare and adjusted risk excesses of 39% and 73% for CV hospitalizations and all-cause mortality. Mediation analysis showed that 4.1% and 11.3% of, respectively, CV hospitalizations and deaths occurred among psychiatric patients was mediated by their worse adherence to specific healthcare.

CONCLUSION

The reduced use of recommended outpatient healthcare by patients with SMI had only a marginal effect on their worse prognosis. Other key factors mediating the prognostic gap between patients with and without mental disorders should be investigated.

Investigating adherence to tyrosine kinase inhibitors in renal cancer

INTRODUCTION

Tyrosine kinase inhibitors (TKIs) have been used as the first-line treatment for many patients with renal cell carcinoma (RCC), the seventh most common cancer in the United Kingdom. However, suboptimal adherence to TKIs can result in poor clinical prognosis. This study quantified RCC patients' adherence to TKIs and explored factors associated with suboptimal adherence.

METHOD

This retrospective cohort study was conducted at a specialist oncology tertiary hospital in Northwest England, using pharmacy dispensing records between November 2021 and March 2022. TKI prescriptions dispensed to patients with RCC were extracted to calculate the persistency gaps (≥7 or ≥14 days) and medication possession ratio (MPR). Multilevel regression analysis was conducted to associate MPR and persistency gaps with specific patient-related and TKI-related factors. This study did not require ethics approval.

RESULTS

Of the 2225 prescriptions dispensed to 109 patients, 469 (23.4%) and 274 (13.7%) persistency gaps of ≥7 and ≥14 days were identified. About 75% and 92% of patients had a persistency gap of ≥7 days within the first 90 days and 180 days. The length of time since the first TKI prescription (p < 0.001) and the use of sunitinib(p = 0.003) were significantly associated with the number of prescription gaps of ≥7 days. Moreover, the median MPR was 95.6% (interquartile range: 90.7%, 100.1%). Similarly, the length of time since the first TKI prescription was dispensed (p < 0.001) and the use of sunitinib (p = 0.034) were significantly associated with MPR.

DISCUSSION AND CONCLUSION

This single-centre study found that patients with RCC generally adhere to TKIs (MPR > 90%), but many patients experienced a persistency gap. The crucial window to mitigate TKI utilisation is within 180 days after the initial dispensing of TKIs. Further large-scale studies are required to comprehensively investigate other factors associated with adherence to TKIs and develop interventions to improve adherence and medication use problems.

Effectiveness of medication self-management, self-monitoring and a lifestyle intervention on hypertension in poorly controlled patients: The MEDICHY randomized trial

Background

Uncontrolled hypertension is a common problem worldwide, despite the availability of many effective antihypertensive drugs and lifestyle interventions. We assessed the efficacy of a multi-component intervention in individuals with uncontrolled hypertension in a primary care setting.

Methods

This study was a randomized, multicenter, parallel, two-arm, single-blind controlled trial performed in primary healthcare centers in Mallorca (Spain). All participants were 35 to 75-years-old and had poorly controlled hypertension. Patients were randomly assigned in a 1:1 ratio to a control group (usual care) or an intervention group (self-monitoring of blood pressure, self-titration of hypertensive medications, dietary interventions, and physical activity interventions). The primary outcome was decrease in the mean SBP at 6 months relative to baseline.

Results

A total of 153 participants were randomized to an intervention group (77) or a control group (76). After 6 months, the intervention group had a significantly lower systolic blood pressure (135.1 mmHg [±14.8] vs. 142.7 mmHg [±15.0], adjusted mean difference: 8.7 mmHg [95% CI: 3.4, 13.9], p < 0.001) and a significantly lower diastolic blood pressure (83.5 mmHg [±8.8] vs. 87.00 mmHg [±9.0], adjusted mean difference: 5.4 [95% CI: 2.9, 7.8], p < 0.0001). The intervention group also had significantly more patients who achieved successful blood pressure control (<140/90 mmHg; 54.4% vs. 32.9%, p = 0.011).

Discussion

Self-monitoring of blood pressure in combination with self-management of hypertensive medications, diet, and physical activity in a primary care setting leads to significantly lower blood pressure in patients with poorly controlled hypertension.Clinical Trial Registration: ClinicalTrials.gov, identifier ISRCTN14433778.

Evaluation of adherence to pharmacological treatments by undocumented migrants with chronic diseases: a 10-year retrospective cohort study

OBJECTIVES

To investigate the time course of medication adherence and some of the factors involved in this process in undocumented migrants with chronic diseases.

DESIGN

Retrospective cohort study.

SETTING

A big non-governmental organisation in Milano, Italy, giving medical assistance to undocumented migrants.

PARTICIPANTS

1918 patients, 998 females and 920 males, with at least one chronic condition (diabetes, cardiovascular diseases (CVDs), mental health disorders) seen over a period of 10 years (2011-2020). Their mean age was 49.2±13 years.

RESULTS

Adherence to medications decreased over 1 year in all patients. This was more evident during the first 2 months of treatment. Patients on only one medication were less adherent than those on more than one medication; at 6 months the percentage of patients with high adherence was 33% vs 57% (p<0.0001) for diabetes, 15% vs 46% (p<0.0001) for mental disorders and 35% vs 59% (p<0.0001) for CVDs. Patients with mental disorders had the lowest adherence: 25% at 6 months and 3% at 1 year. Mental disorders, when present as comorbidities, greatly reduced the probability of being highly adherent: risk ratio (RR) 0.72 (95% CI 0.57 to 0.91; p=0.006) at 3 months, RR 0.77, (95% CI 0.59 to 1.01; p=0.06) at 6 months, RR 0.35 (95% CI 0.13 to 0.94; p=0.04) at 1 year. This was especially evident for patients with CVDs, whose percentage of high adherents decreased to 30% (p=0.0008) at 6 months and to 3% (p=0.01) at 1 year. We also noted that highly adherent patients usually were those most frequently seen by a doctor.

CONCLUSIONS

Interventions to increase medication adherence of undocumented migrants with chronic diseases are necessary, particularly in the first 2 months after beginning treatment. These should be aimed at people-centred care and include more outpatient consultations. Educational interventions should especially be taken into consideration for patients on monotherapy.

Understanding Patterns of Adherence to Antifibrotic Treatment in Idiopathic Pulmonary Fibrosis: Insights from an Italian Prospective Cohort Study

Background: Pirfenidone and Nintedanib have significantly improved the prognosis of patients with idiopathic pulmonary fibrosis (IPF), reducing mortality risk and exacerbations. This study aimed to analyze antifibrotic treatment utilization and its association with clinical outcomes (i.e., acute exacerbation or death) during 2014-2021 in newly diagnosed IPF patients, using Healthcare Utilization Databases of the Marche Region, Italy. Methods: The first 12-month adherence to antifibrotic was estimated using the Proportion of Days Covered (PDC), defining adherence as PDC ≥ 75%. State Sequence Analysis over the initial 52 weeks of treatment was used to identify adherence patterns. The role of adherence patterns on acute exacerbations/death, adjusted by demographic, clinical features, and monthly adherence after the 52-week period (time-dependent variable), was assessed with Cox regression. Results: Among 667 new IPF cases, 296 received antifibrotic prescriptions, with 62.8% being adherent in the first year. Three antifibrotic utilization patterns emerged-high adherence (37.2%), medium adherence (42.5%), and low adherence (20.3%)-with median PDCs of 95.3%, 79.5%, and 18.6%, respectively. These patterns did not directly influence three-year mortality/exacerbation probability, but sustained adherence reduced risk over time. Conclusions: Good adherence was observed in in this population-based study, emphasizing the importance of continuous antifibrotics therapy over time to mitigate adverse outcomes.

Validating methods used to identify non-adherence adverse drug events in Canadian administrative health data

AIMS

Medication non-adherence is a type of adverse drug event that can lead to untreated and exacerbated chronic illness, and that drives healthcare utilization. Research using medication claims data has attempted to identify instances of medication non-adherence using the proportion of days covered or by examining gaps between medication refills. We sought to validate these measures compared to a gold standard diagnosis of non-adherence made in hospital.

METHODS

This was a retrospective analysis of adverse drug events diagnosed during three prospective cohorts in British Columbia between 2008 and 2015 (n = 976). We linked prospectively identified adverse drug events to medication claims data to examine the sensitivity and specificity of typical non-adherence measures.

RESULTS

The sensitivity of the non-adherence measures ranged from 22.4% to 37.5%, with a proportion of days covered threshold of 95% performing the best; the non-persistence measures had sensitivities ranging from 10.4% to 58.3%. While a 7-day gap was most sensitive, it classified 61.2% of the sample as non-adherent, whereas only 19.6% were diagnosed as such in hospital.

CONCLUSIONS

The methods used to identify non-adherence in administrative databases are not accurate when compared to a gold standard diagnosis by healthcare providers. Research that has relied on administrative data to identify non-adherent patients both underestimates the magnitude of the problem and may label patients as non-adherent who were in fact adherent.

Adherence to GLP1-RA and SGLT2-I affects clinical outcomes and costs in patients with type 2 diabetes

AIMS

To evaluate the impact of adherence to glucagon like peptide-1 receptor agonists (GLP1-RA) and sodium-glucose transporter two inhibitors (SGLT2-I) on clinical outcomes and costs in patients with type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

The 121,115 residents of the Lombardy Region (Italy) aged ≥40 years newly treated with metformin during 2007-2015 were followed to identify those who started therapy with GLP1-RA or SGLT2-I. Adherence to drug therapy over the first year was defined as the proportion of days covered >80%. Within each drug class, for each adherent patient, one non-adherent patient was matched for age, sex, duration, adherence to metformin treatment and propensity score. The primary clinical outcome was a composite of insulin initiation, hospitalisation for micro- and macrovascular complications and all-cause mortality after the first year of drug treatment. Costs were evaluated based on reimbursements from the national healthcare system.

RESULTS

After matching, 1182 pairs of adherent and non-adherent GLP1-RA users and 1126 pairs of adherent and non-adherent SGLT2-I users were included. In both groups, adherent patients experienced a significantly lower incidence of the primary outcome (HR: 0.85, 95% CI 0.72-0.98 for GLP1-RA and HR: 0.69, 95% CI 0.55-0.87 for SGLT2-I). A significant reduction in hospitalizations was found for adherent patients in the GLP1-RA group but not for the SGLT2-I group. Results were consistent when analyses were stratified by age and sex. While higher drug-related costs in the adherent group were counterbalanced by decreased hospitalisation costs in SGLT2-I treated patients, this was not the case for GLP1-RA.

CONCLUSIONS

Higher adherence to drug treatment with GLP1-RA and SGLT2-I during the first year of the drug intake is associated with a lower incidence of adverse clinical outcomes in a real-world setting.

Comparison of active tuberculosis occurrence associated with Janus kinase inhibitors and biological DMARDs in rheumatoid arthritis

OBJECTIVES

This study aimed to evaluate the risk of tuberculosis associated with the use of Janus kinase (JAK) inhibitors or biological disease-modifying antirheumatic drugs (bDMARDs) in patients diagnosed with rheumatoid arthritis (RA) in South Korea.

METHODS

In this nationwide matched-cohort study, we retrospectively identified adult patients with new-onset RA from the National Health Insurance Service database who were prescribed bDMARDs or JAK inhibitors and recently underwent latent tuberculosis infection (LTBI) screening during 2012‒2021, and followed them up until the end of 2022 for the development of active tuberculosis. HRs were estimated using Cox proportional hazards regression in a propensity score-matched cohort.

RESULTS

Among 16 760 matched patients with RA (3352 JAK inhibitor users and 13 408 bDMARD users), 18.8% received tuberculosis preventive therapy for LTBI. Overall, JAK inhibitor users had a significantly lower risk of tuberculosis than bDMARD users (HR (95% CI)=0.37 (0.22 to 0.62)). Among the patients treated for LTBI, patients with low treatment adherence had a significantly higher risk than those without LTBI (HR (95% CI)=2.78 (1.74 to 4.44)). Patients without LTBI and using JAK inhibitors had a significantly lower risk of tuberculosis across all ages and sexes compared with bDMARD users.

CONCLUSION

Patients with RA using JAK inhibitors have a significantly lower risk of active tuberculosis than bDMARD users in South Korea; however, patients with RA having LTBI are equally at risk regardless of the treatment received (JAK inhibitor vs bDMARD). Therefore, vigilant tuberculosis monitoring, especially in patients with low adherence to tuberculosis preventive therapy, is essential.

Patterns of metformin use and glycated haemoglobin trends among patients with newly diagnosed type 2 diabetes in Alberta, Canada

AIM

Canadian guidelines recommend metformin as first-line therapy for incident uncomplicated type 2 diabetes and the vast majority of patients are treated accordingly. However, only 54% 65% remain on treatment after 1 year, with the highest discontinuation rates within the first 3 months. The purpose of this study was: (a) to identify individual and clinical factors associated with metformin discontinuation among patients with newly diagnosed uncomplicated type 2 diabetes in Alberta, Canada, and (b) describe glycated haemoglobin (HbA1c) trajectories in the first 12 months after initiation of pharmacotherapy, stratified by metformin usage pattern.

MATERIALS AND METHODS

We conducted a retrospective cohort study using linked administrative datasets from 2012 to 2017 to define a cohort of individuals with uncomplicated incident type 2 diabetes. Using logistic regression, we determined individual and clinical characteristics associated with metformin discontinuation. We categorized individuals based on patterns of metformin use and then used mean HbA1c measurements over a 12-month follow-up period to determine glycaemic trajectories for each pattern.

RESULTS

Characteristics associated with metformin discontinuation were younger age, lower baseline HbA1c and having fewer comorbidities. Sex, income and location (urban/rural) were not significantly associated with metformin discontinuation. Individuals who continued metformin with higher adherence and individuals who discontinued metformin entirely had lowest HbA1c values at 12 months from treatment initiation. Those who changed therapy or had additional therapies added had higher HbA1c values at 12 months.

CONCLUSION

Identifying characteristics associated with discontinuation of metformin and individuals' medication usage patterns provide an opportunity for targeted interventions to support patients' glycaemic management.

Risk of Subsequent Primary Cancers in Thyroid Cancer Survivors according to the Dose of Levothyroxine: A Nationwide Cohort Study

BACKGRUOUND

Current research has not investigated the effect of thyroid-stimulating hormone suppression therapy with levothyroxine on the risk for developing subsequent primary cancers (SPCs). This study aimed to investigate the association between levothyroxine dosage and the risk for SPCs in thyroid cancer patients.

METHODS

We conducted a nationwide population-based retrospective cohort study form Korean National Health Insurance database. This cohort included 342,920 thyroid cancer patients between 2004 and 2018. Patients were divided into the non-levothyroxine and the levothyroxine groups, the latter consisting of four dosage subgroups according to quartiles. Cox proportional hazard models were performed to evaluate the risk for SPCs by adjusting for variables including cumulative doses of radioactive iodine (RAI) therapy.

RESULTS

A total of 17,410 SPC cases were observed over a median 7.3 years of follow-up. The high-dose levothyroxine subgroups (Q3 and Q4) had a higher risk for SPC (adjusted hazard ratio [HR], 1.14 and 1.27; 95% confidence interval [CI], 1.05-1.24 and 1.17- 1.37; respectively) compared to the non-levothyroxine group. In particular, the adjusted HR of stomach (1.31), colorectal (1.60), liver and biliary tract (1.95), and pancreatic (2.48) cancers were increased in the Q4 subgroup. We consistently observed a positive association between high levothyroxine dosage per body weight and risk of SPCs, even after adjusting for various confounding variables. Moreover, similar results were identified in the stratified analyses according to thyroidectomy type and RAI therapy, as well as in a subgroup analysis of patients with good adherence.

CONCLUSION

High-dose levothyroxine use was associated with increased risk of SPCs among thyroid cancer patients regardless of RAI therapy.

Treatment compliance, treatment patterns, and healthcare utilization in epilepsy patients with first add-on antiepileptic drugs: A nationwide cohort study

Objective

This study aimed to assess the treatment compliance, patterns, healthcare resource utilization (HCRU), and costs of anti-epilepsy drugs (AEDs) as the first add-on therapy in patients with epilepsy.

Methods

We conducted a retrospective population-based cohort study using Korean National Health Insurance claims data from 2016 to 2020. Patients with epilepsy who newly received AED add-on therapy were identified and followed for up to 12 months to evaluate persistence, adherence, treatment patterns, HCRU, and costs.

Results

Among 6,746 patients who initiated AED add-on therapy, 65.5% were persistent on their index AED add-on from the index date until the end of the follow-up period, and the mean persistent time on the index add-on was 307.3 ± 92.3 days. A total of 76.8% patients were adherent, with a medication possession ratio (MPR) ≥80%, and the mean MPR was 88.9 ± 25.4%. Persistence and adherence to the index AED add-on were relatively higher among patients prescribed lamotrigine, levetiracetam, oxcarbazepine, and perampanel than those prescribed carbamazepine, topiramate, or valproate. A total of 41.0% of the patients changed their index AED add-on during the follow-up period. The carbamazepine, topiramate, and valproate groups had higher rates of change than the other AED groups. HCRU and costs tended to be lower in the lamotrigine, levetiracetam, oxcarbazepine, and perampanel groups. Furthermore, perampanel showed the lowest HCRU and costs for all-cause cases as well as the lowest length of stay and outpatient visits for epilepsy-related cases.

Conclusion

In this population-based study, the use of lamotrigine, levetiracetam, oxcarbazepine, or perampanel as the first add-on therapy in patients with epilepsy contributed to better treatment compliance and lower HCRU and costs than that of carbamazepine, topiramate, or valproate.

Medication non-adherence and self-inflicted violence behaviors among 185,800 patients with schizophrenia in the community: a 12-year cohort study

BACKGROUND

Despite the importance of medication adherence in treatment effectiveness, little is known about the association between medication non-adherence and self-inflicted violence behaviors. We aimed to assess whether medication non-adherence increased the risk of self-inflicted violence behaviors among schizophrenics in communities (hypothesis 1) and whether the dose-response relationship existed (hypothesis 2).

METHODS

This 12-year cohort study in western China recruited 292,667 community-dwelling schizophrenics. The proportion of regular medication (PRM) was calculated by dividing the time of "regular adherence" by the total time of antipsychotic treatment during follow-up period as an indicator of medication adherence. For hypothesis 1, medication adherence was designated as a binary variable with a threshold of 0.8 (PRM); for hypothesis 2, medication adherence was specified as five-category and continuous variables, respectively. Inverse probability weighting and mixed effects Cox proportional hazards models were conducted for confounders control and survival analyses.

RESULTS

One hundred eighty-five thousand eight hundred participants were eligible for the final analyses, with a mean age of 47.49 years (SD 14.55 years), of whom 53.6% were female. For hypothesis 1, the medication non-adherence group (PRM < 0.8) had a lower risk of suicide (HR, 0.527, 95% CI, 0.447-0.620), an increased risk of NSSI (HR, 1.229, 95% CI, 1.088-1.388), and non-significant risk of attempted suicide compared with adherence group (PRM ≥ 0.8). For hypothesis 2, the lowest medication adherence (PRM < 0.2) was associated with increased risks of suicide attempt (HR, 1.614, 95% CI, 1.412-1.845), NSSI (HR, 1.873, 95% CI, 1.649-2.126), and a decreased risk of suicide (HR, 0.593, 95% CI, 0.490-0.719). The other non-adherence groups had lower risks for all three self-inflicted violence behaviors. The associations between medication adherence in continuous-variable and three outcomes were consistent with the categorical medication adherence results.

CONCLUSIONS

Almost no medication taken as prescribed was associated with an increased risk of suicide attempt and NSSI. However, medication adherence did not appear to prevent completed suicide. Besides, patients with moderate adherence had a lower incidence of suicide attempt and NSSI. These findings highlight the need for a more detailed portrayal of medication adherence and the need to be vigilant for suicide intent in schizophrenics with good medication adherence who may be overlooked previously.

Effectiveness and safety of glucagon-like peptide 1 receptor agonists in patients with type 2 diabetes: evidence from a retrospective real-world study

Introduction

Global phase III clinical trials have shown superior hypoglycemic efficacy to insulin and other oral hypoglycemic agents. However, there is a scarcity of real-world data comparing different glucagon-like peptide 1 receptor agonist (GLP-1RA) directly. This study aimed to assess the safety and effectiveness of various GLP-1RA in treating type 2 diabetes mellitus (T2DM) in a real-world clinical setting and identify predictive factors for favorable treatment outcomes.

Methods

This was a retrospective, single-center, real-world study. The changes in HbA1c, fasting plasma glucose (FPG), body weight, systolic blood pressure (SBP), diastolic blood pressure (DBP), and the percentage of participants who achieved HbA1c of <7%, 7%-8%, and ≥ 8% after GLP-1RA treatment was analyzed. The clinical factors that affect the effectiveness of GLP-1RA were analyzed.

Results

At baseline, the 249 participants had a mean baseline HbA1c of 8.7 ± 1.1%. After at least three months of follow-up, the change in HbA1c was -0.89 ± 1.3% from baseline. Dulaglutide exerted a more significant hypoglycemic effect than immediate-release exenatide. The percentage of participants who achieved HbA1c<7% was substantial, from 6.0% at baseline to 28.9%. Average body weight decreased by 2.02 ± 3.8 kg compared to baseline. After GLP-1RA treatment, the reduction in SBP was 2.4 ± 7.1 mmHg from baseline. A shorter duration of diabetes and a higher baseline HbA1c level were more likely to achieve a good response in blood glucose reduction.

Conclusions

This study provided real-world evidence showing that GLP-1RA significantly improved HbA1c, body weight, and SBP. The results can inform the decision-making about GLP-1RA treatment in daily clinical practice.

Prescription patterns of ambrisentan in some cities of Colombia

INTRODUCTION

Ambrisentan is a selective type A endothelin receptor antagonist that has shown significant effectiveness and safety in the management of patients with pulmonary hypertension. Its use pattern with real-world evidence in Colombia is unknown.

OBJECTIVE

The objective of this study is to determine the prescription patterns of ambrisentan in some cities of Colombia.

METHODS

A longitudinal descriptive study on the prescription patterns of ambrisentan in patients with pulmonary hypertension (all the groups) was conducted between January 2021 and December 2022 based on a population database of members of the Colombian Health System. Adherence at 1 year was determined using the Medication Possession Ratio (days the drug was dispensed/days from first dispensing to the end of the follow-up period × 100). Descriptive analysis was carried out.

RESULTS

Sixty-seven patients taking ambrisentan were identified in 10 cities of the country. The individuals had a median age of 51.5 years (interquartile range-IQR: 39.8-64.0 years), and 82.1% were women. The drug possession rate was 82.2% (IQR: 65.0-96.8%), and persistence at 1 year was present in 49.3% (n = 33) of the cases. The average dose was 8.8 ± 5.0 mg/day, and 76.1% (n = 51) received it in combination therapy, mainly with phosphodiesterase type 5 inhibitors (61.2%, n = 41).

CONCLUSIONS

Adherence to ambrisentan was good, but its persistence at 1 year was low. The dosages of the drug used were in accordance with the recommendations of the clinical practice guidelines, and it was used in combination therapy, especially with phosphodiesterase 5 inhibitors.

Application of an in-hospital, surgeon-led anti-osteoporotic medication algorithm in patients with hip fractures improves persistence to medication and can prevent the second fragility fracture

INTRODUCTION

Secondary fracture prevention is an essential part of hip fracture treatment. Despite this, many patients are discharged without the appropriate anti-osteoporotic medication. The aim of this study is to report the outcomes of the application of an in-hospital, surgeon-led anti-osteoporotic medication algorithm to patients with hip fractures.

MATERIALS AND METHODS

This prospective cohort study followed patients with hip fractures who were treated at a tertiary referral hospital between 2020 and 2022. At discharge, anti-osteoporotic medication according to the Arbeitsgemeinschaft für Osteosynthesefragen (AO) Foundation algorithm was prescribed to all patients. Multivariate Cox regression analysis was used to investigate the risks of non-persistence to medication and of secondary fracture.

RESULTS

Two hundred thirteen consecutive patients were prospectively followed. Mean follow-up was 17.2 ± 7.1 months. Persistence to medication at 2 years was 58% (95%CI 51-65%). A secondary osteoporotic fracture occurred in 1/126 (0.8%) persistent patients and 9/87 (11.4%) non-persistent patients. Multivariable Cox regression analysis confirmed that persistence to medication was significantly associated with a lower risk of secondary fracture (cause-specific hazard ratio [csHR] 0.05; 95%CI 0.01-0.45; p = 0.007).

CONCLUSION

The application of the surgeon-led AO Foundation algorithm enables the in-hospital initiation of anti-osteoporotic treatment, leading to better persistence to medication and decreased incidence of secondary osteoporotic fractures.

Incidence trend and epidemiology of tic disorders among youths and adults in Korea from 2003 to 2020: A national population-based study

Tic disorder is a highly prevalent neurodevelopmental disorder; however, research on its incidence trends is still rare. We aimed to investigate its annual incidence rates and the characteristics of incident cases in the general Korean population using data from the National Health Insurance Service-National Health Information Database as a proxy measurement for true incidence in the community. The total number of incident cases and incidence rates of tic disorders from 2003 to 2020 were compared between youths and adults. Both the number of incident cases and the annual incidence rates of tic disorders significantly increased from 2003 to 2020. The overall increasing trend in the incidence rates was significantly greater in youths than in adults; however, the incidence rates in adults showed a relatively recent increase. The male predominance regarding the newly diagnosed case number in youths was no longer observed in adults. Tic disorders occurred more commonly in the low-income group than in the high-income group. Neurodevelopmental comorbidities in youths and mood or anxiety disorders and schizophrenia in adults were more frequently observed. Antipsychotic medication adherence was higher in youths than in adults. Efforts are required to raise awareness and promote expert education for adult patients with tic disorders.

Factors associated with medication adherence among older adults with multimorbidity: A culture perspective

Multimorbidity is a healthcare concern. To manage diseases, older adults with multimorbidity are expected to practice health behaviors, particularly medication adherence. Studies have examined adherence issues in older patients with multiple diseases, but it remains unclear which factors affect medication adherence. Therefore, this study aimed to identify the factors affecting medication adherence among older adults with multimorbidity. The participants were recruited from the outpatient departments of two hospitals in the Republic of Korea using convenience sampling. Data were collected using structured questionnaires and analyzed using multiple regression analysis. The results showed that those with a lower education level, no side effects, better health literacy, higher medication self-efficacy, and more social support exhibited better medication adherence. In addition, beliefs about medication were not related to medication adherence. These results suggest that providing individualized education, strengthening social support, and decreasing harmful side effects can improve medication adherence.

Controversies in Hypertension V: Resistant and Refractory Hypertension

Apparent resistant hypertension, defined as uncontrolled office blood pressure despite ≥ 3 antihypertensive medications including a diuretic or use of ≥ 4 medications regardless of blood pressure, occurs in ≤ 15% of treated hypertensives. Apparent refractory hypertension, defined as uncontrolled office pressure despite use of 5 or more medications including a diuretic, occurs in ≤ 10% of resistant cases. Both are associated with increased comorbidity and enhanced cardiovascular risk. To rule out pseudo-resistant or pseudo-refractory hypertension, employ guideline-based methodology for obtaining pressure, maximize the regimen, rule out white-coat effect, and assess adherence. True resistant hypertension is characterized by volume overload and aldosterone excess, refractory by enhanced sympathetic tone. Spironolactone is the preferred agent for resistance, with lower doses. Spironolactone, potassium binders, or both, are preferred if the estimated glomerular filtration rate is below 45. If significant albuminuria, finerenone is indicated. The optimal treatment of refractory hypertension is unclear, but sympathetic inhibition (α-β blockade, centrally acting sympathoinhibitors, or both) seems reasonable. Renal denervation has shown minimal benefit for resistance, but its role in refractory hypertension remains to be defined.

Challenges to medication adherence with intranasal corticosteroid irrigations

BACKGROUND

The purpose of this study was to investigate real-world adherence to intranasal corticosteroid irrigations using pharmacy data and assess factors associated with low adherence.

METHODS

Patients undergoing treatment with corticosteroid irrigations for any diagnosis during a 2-year period were prospectively recruited. Subjects completed a one-time set of questionnaires including the Barriers to Care Questionnaire (BCQ), 22-item Sino-Nasal Outcome Test (SNOT-22), and a questionnaire assessing their experience with corticosteroid irrigations. Pharmacy data was used to calculate the medication possession ratio (MPR), a measure of medication adherence graded from 0 to 1.

RESULTS

Seventy-one patients were enrolled. Patient diagnoses included chronic rhinosinusitis (CRS) without nasal polyps (n = 37), CRS with nasal polyps (n = 24), or a non-CRS diagnosis, most commonly chronic rhinitis (n = 10). The MPR for the overall group was 0.44 ± 0.33. Just 9.9% of patients had a perfect MPR of 1. Despite low MPR, only 19.7% of patients reported problems taking the medication when directly asked. Lower education resulted in lower MPR (unstandardized B = 0.065, p = 0.046). Increasing BCQ score, indicating higher barriers to care, was associated with lower MPR (unstandardized B = -0.010, p = 0.033). The lower the MPR, the worse the patient SNOT-22 scores (unstandardized B = -15.980, p = 0.036).

CONCLUSION

Adherence to corticosteroid irrigations was low and patients underreported issues with their medication. Education and barriers to care were associated with lower adherence, which, in turn, was associated with worse sinonasal quality of life.

Association of Thyroid Hormone Medication Adherence With Risk of Dementia

CONTEXT

Recent studies suggest that hypothyroidism is a risk factor for dementia. Based on existing literature, it is unclear if treatment or compliance to treatment is associated with decreased dementia risk in hypothyroidism patients.

OBJECTIVE

To determine the association between thyroid hormone medication adherence and risk of dementia.

METHODS

A population-based cohort study following patients with newly diagnosed hypothyroidism until incidence of dementia, death, or December 31, 2020, whichever came earliest. The study comprised 41 554 older adults age 50 and above with newly diagnosed hypothyroidism between 2004 and 2008 who underwent health screening. Risk of dementia was evaluated using multivariable-adjusted Cox proportional hazards regression.

RESULTS

Among 5188 men (12.5%) and 36 366 (87.5%) women, 2120 cases of incident dementia were identified. After stratification of the participants according to the interquartile range of the medication possession ratio (MPR), the fourth quartile (highest adherence) showed a 14% lower risk of overall dementia compared with the first quartile (lowest adherence) (adjusted hazard ratio 0.86; 95% CI 0.76-0.97). No consistent association was observed between thyroid hormone medication adherence and vascular dementia. After a dichotomous stratification of the MPR, higher MPR (≥0.8) showed a lower risk of Alzheimer disease (adjusted hazard ratio 0.91; 95% CI 0.84-0.99) than lower MPR (<0.8).

CONCLUSION

Better adherence to thyroid hormone medication may be beneficial in preventing incident dementia, especially Alzheimer disease, in older adults with newly diagnosed hypothyroidism. Along with the resolution of hypothyroid symptoms and the reduction of cardiovascular risk factors, the reduction of dementia risk may be another potential benefit of thyroid hormone medication.

Medical behaviours and medication adherence of older hypertensive patients in different medical insurance programs in Beijing, China: a cross-sectional study

BACKGROUND

Grassroots medical institutions are the primary "battlefield" of hypertension management based on hierarchical diagnosis and treatment policies in China. There is a considerable difference in the insured population and reimbursement ratio between different medical insurance programs. The management of hypertension directly affects the development trend of cardiovascular and cerebrovascular diseases.

METHODS

To understand the difference between different medical insurance programs regarding the management of older hypertensive patients, all outpatients aged 60 and above with hypertension in the basic medical insurance database of Beijing, China, from April 1, 2019, to January 31, 2020, were included. Medical behaviours included patients' choice of hospital level, type of hospital, number of hospitals visited, grassroots medical institutions and cross-district visits. Medication adherence was evaluated by calculating the medication possession ratio of antihypertensive medications. First, we adopted a statistical description for medical behaviours and medication adherence. Then, multivariate logistic regression was used to analyse the influencing factors of medication adherence.

RESULTS

This study included 1.29 million patients with Urban Employee Basic Medical Insurance (UEBMI) and 0.31 million patients with Urban‒Rural Resident Basic Medical Insurance (URRBMI). The proportions of patients with UEBMI who chose tertiary hospitals, comprehensive hospitals, grassroots medical institutions and cross-district visits were 25.84%, 56.09%, 57.34% and 39.32%, respectively, while those of patients with URRBMI were 11.14%, 60.59%, 81.28% and 6.07%, respectively. The medication adherence rates of men and women taking one medication were 61.04% and 55.86%, respectively. UEBMI patients who took their medication accounted for 62.36%, while only 40.27% of URRBMI patients adhered to their medication. The percentages of young-old, old-old and oldest-old patients who took their antihypertensive medications were 58.05%, 59.09% and 56.78%, respectively. The adherence to taking ≥ 2 medications (35.47%) was lower than that to taking one medication (58.33%). The medication adherence rates of patients with UEBMI and URRBMI for taking ≥ 2 medications were 37.21% and 27.45%, respectively.

CONCLUSIONS

Patients with UEBMI were more inclined to choose tertiary hospitals and cross-district visits than patients with URRBMI. The adherence of patients with UEBMI was better than that of patients with URRBMI in China.

Association of iron therapy with incidence of chronic kidney disease

OBJECTIVE

We investigated the association of oral iron replacement with the incidence of chronic kidney disease (CKD) in a population with normal kidney function to study the effects of iron replacement on the development of new onset CKD.

METHODS

In a national cohort of US Veterans with no pre-existing CKD, we identified 33 894 incident new users of oral iron replacement and a comparable group of 112 780 patients who did not receive any iron replacement during 2004-2018. We examined the association of oral iron replacement versus no iron replacement with the incidence of eGFR <60 mL/min/1.73 m2 and the incidence of urine albumin creatinine ratio (UACR) ≥30 mg/g in competing risk regressions and in Cox models. We used propensity score weighing to account for differences in key baseline characteristics associated with the use of oral iron replacement.

RESULTS

In the cohort of 146 674 patients, a total of 18 547 (13%) patients experienced incident eGFR <60 mL/min/1.73 m2 , and 16 117 patients (11%) experienced new onset UACR ≥30 mg/g. Oral iron replacement was associated with significantly higher risk of incident eGFR <60 mL/min/1.73 m2 (subhazard ratio, 95% confidence interval [CI]: 1.3 [1.22-1.38], p < .001) and incident albuminuria (subhazard ratio, 95% CI: 1.14 [1.07-1.22], p < .001).

CONCLUSION

Oral iron replacement is associated with higher risk of new onset CKD. The long-term kidney safety of oral iron replacement should be tested in clinical trials.

A multicentre study with real-world data of the use of palbociclib in the treatment of breast cancer: Treatment duration correlates with dose reductions

OBJECTIVE

Palbociclib, a highly selective reversible CDK4-6 kinase inhibitor, is indicated in combination with an aromatase inhibitor or in combination with fulvestrant in women who had received prior endocrine treatment. Studies have demonstrated the efficacy of palbociclib in combination with fulvestrant in increasing progression-free survival in patients who relapsed or progressed on previous endocrine therapy, or in combination with aromatase inhibitor in patients who had not received previous treatments. We analysed the prescribing patterns of palbociclib in real practice correlating it with the evidence of treatment-related toxicity management and to time-to-treatment discontinuation and treatment adherence.

METHODS

For the observational, retrospective study, data were collected from five Italian hospital centres that prescribed palbociclib between April 2017 and April 2020. Each centre provided data derived from an administrative database of adult patients treated with palbociclib for the two therapeutic indications.Treatment adherence was calculated using the proportion of days covered method while time-to-treatment discontinuation was defined as the difference between the first and last date treatment was administered plus the days ideally covered by the last date treatment was given.

RESULTS

There were 375 patients enrolled during the study period, of whom 159 were treated with palbociclib and aromatase inhibitor and 216 were treated with palbociclib and fulvestrant. The time-to-treatment discontinuation was 8.9 months in the case of P + f (95% CI: 7.1-12.7) and 13.7 months in the case of P + ia (95% CI: 8.9-17.5). In both cohorts, treatments that received at least one dose reduction had a statistically higher time-to-treatment discontinuation than those without dose reduction (17.7 months vs. 9.2 and 16.6 vs. 7.4).The mean adherence in our study was 0.9 and remained high in treatments with one dose reduction (0.83) and this with two dose reductions (0.87).

CONCLUSION

Based on these findings, it appears that the management of toxicities through reducing doses, as required by the Summary of Product Characteristics, results in a better outcome in terms of therapy duration, and therefore time to failure due to progression or toxicity.

Post-initiation predictors of discontinuation of the sodium-glucose cotransporter-2 inhibitors: A comparative cohort study from the United Kingdom

AIMS

To assess post-initiation predictors of discontinuation of sodium-glucose cotransporter-2 (SGLT2) inhibitors compared to dipeptidyl-peptidase-4 (DPP-4) inhibitors in the United Kingdom.

MATERIALS AND METHODS

We conducted a comparative population-based retrospective cohort study using primary care data from the UK Clinical Practice Research Datalink (CPRD) with linked data to hospital and death records. We included new metformin users who initiated either SGLT2 inhibitors or DPP-4 inhibitors between January 2013 and October 2019. The main outcome was treatment discontinuation, defined as the first 90-day gap after the estimated treatment end date. We used a series of extended Cox models to assess which time-dependent predictors were associated with treatment discontinuation. To test if the hazard ratio of discontinuation for each predictor was statistically different between SGLT2 and DPP-4 inhibitors, an exposure-predictor interaction term was added to each model.

RESULTS

There were 2550 new users of SGLT2 inhibitors and 8195 new users of DPP-4 inhibitors. Approximately 69% of SGLT2 inhibitor and 74% of DPP-4 inhibitor users had discontinued treatment by the end of follow-up. Occurrence of fractures after treatment initiation was a significant predictor of discontinuation of SGLT2 inhibitors (hazard ratio [HR] 4.13, 95% confidence interval [CI] 2.12-8.06) but not DPP-4 inhibitors (HR 0.93, 95% CI 0.79-1.11). The rate of treatment discontinuation was significantly higher for those with low estimated glomerular filtration rate and minimal contact with the healthcare system. Efficacy endpoints, such as heart failure and glycated haemoglobin level, were not associated with treatment discontinuation.

CONCLUSIONS

Our findings reflect some discrepancy between the available evidence and prescribing behaviour for SGLT2 inhibitors.

Are breast cancer patients with suboptimal adherence to cardiovascular treatment more likely to discontinue adjuvant endocrine therapy? Competing risk survival analysis in a nationwide cohort of postmenopausal women

BACKGROUND

High rates of discontinuation undermine the effectiveness of adjuvant endocrine therapy (AET) among hormone-receptive breast cancer patients. Patient prognosis also relies on the successful management of cardiovascular risk, which affects a high proportion of postmenopausal women. As with AET, adherence with cardiovascular drugs is suboptimal. We examined whether patient adherence with cardiovascular drugs was associated with the rate of AET discontinuation in a French nationwide claims database linked with hospitalisation data.

METHODS

We identified postmenopausal women starting AET between 01/01/2016 and 31/12/2020 and taking at least two drugs for the primary prevention of cardiovascular disease (antihypertensive drugs, lipid-lowering drugs and platelet aggregation inhibitors) before AET initiation. Adherence was assessed for each drug class by computing the proportion of days covered. Women were categorised as fully adherent, partially adherent or fully non-adherent with their cardiovascular drug regimen based on whether they adhered with all, part or none of their drugs. AET discontinuation was defined as a 90-day gap in AET availability. Time to AET discontinuation according to levels of cardiovascular drug adherence was estimated using cumulative incidence curves, accounting for the competing risks of death and cancer recurrence. Multivariate cause-specific Cox regressions and Fine-and-Gray regressions were used to assess the relative hazards of AET discontinuation.

RESULTS

In total, 32,075 women fit the inclusion criteria. Women who were fully adherent with their cardiovascular drugs had the lowest cumulative incidence of AET discontinuation at any point over the 5-year follow-up period. At 5 years, 40.2% of fully non-adherent women had discontinued AET compared with 33.5% of partially adherent women and 28.8% of fully adherent women. Both partial adherence and full non-adherence with cardiovascular drugs were predictors of AET discontinuation in the two models (cause-specific hazard ratios 1.16 [95% CI 1.10-1.22] and 1.49 [95% CI 1.39-1.58]; subdistribution hazard ratios 1.15 [95% CI 1.10-1.21] and 1.47 [95% CI 1.38-1.57]).

CONCLUSION

Clinicians should be aware that patients who do not adhere with their entire cardiovascular drug regimen are also more likely to discontinue AET. This stresses the importance of integrated care, as suboptimal adherence with both treatment components poses a threat to achieving ideal patient outcomes.

[Association Between Medication Compliance and Various Risky Behaviors in Patients With Schizophrenia]

Objective

To investigate the status of medication adherence and various types of risky behaviors of schizophrenia patients in a certain area of western China and to explore accordingly the correlation between the two.

Methods

A total of 292 667 patients with schizophrenia were enrolled in a follow-up survey between 2006 and 2018. In addition, based on the outcome-wide analysis strategy, a multivariate Cox proportional risk regression model was used to estimate and compare the impact of medication adherence on different types of risky behaviors in schizophrenia patients.

Results

In this 13-year prospective cohort, 65 175 patients (31.4%) showed good medication adherence, while 142 394 patients (68.6%) showed poor medication adherence. The incidence rates of various risky behaviors during the follow-up period were as follows, minor nuisances, 12.25%, violation of the Law of the People's Republic of China on Penalties for Administration of Public Security (APS law), 3.82%, violation of criminal law, 0.94%, suicide completed, 0.28%, self-harm, 1.42%, and attempted suicide, 0.82%. Schizophrenia patients who had poor medication adherence had higher risks of committing violence against others and self-inflicted injury compared to patients with good medication adherence did, with the associated effects being minor nuisances (hazard ratio [HR]=1.31, 95% confidence interval [CI]: 1.27-1.35), violation of APS law (HR=1.47, 95% CI: 1.38-1.56), violation of criminal law (HR=1.17, 95% CI: 1.05-1.31), and self-harm (HR=1.43, 95% CI: 1.32-1.56), respectively, while the risk of suicide completed is lower in schizophrenia patients with poor medication adherence than that in patients with good medication adherence (HR=0.56, 95% CI: 0.47-0.66). There was no statistically significant association between attempted suicide and medication adherence.

Conclusion

There are variations in the direction and strength of the association between medication adherence and different types of risky behaviors and further research is needed to elucidate the mechanisms of the association.

Medication economic burden of antidepressant non-adherence in Spain

Introduction: Non-adherence to antidepressants is associated with worse disease outcomes (morbidity and mortality) and correlates with higher healthcare resource utilization and costs. Methods: A population-based registry study was conducted to assess non-adherence and to analyze the economic burden of treatment and from non-adherence to antidepressants in 2021. Non-adherence was measured by the Medication Possession Ratio and those below 80% were classified as non-adherent. Results: In 2021, 246,718 patients (10.60% [95% CI: 10.48-10.72]) received antidepressants at a cost of €29 million. The median antidepressant cost per patient/year was €70.08€, ranging from €7.58 for amitriptyline to €396.66 for agomelatine. Out-of-pocket costs represented 6.09% of total expenditures, with a median copayment of €2.78 per patient. The 19.87% [95% CI 19.52-20.22)] of patients were non-adherent to antidepressants, costing €3.9 million (13.30% of total antidepressant costs). Non-adherence rates exceeded 20% for the tricyclic antidepressants, fluoxetine (23.53%), fluvoxamine (22.42%), and vortioxetine (20.58%). Venlafaxine (14.64%) and citalopram (14.88%) had the lowest non-adherence rates, of less than 15%. The median cost of non-adherent medications per patient/year was €18.96 and ranged from €2.50 (amitriptyline) to €133.42 (agomelatine). Conclusion: Reducing non-adherence to antidepressants is critical to improving clinical and economic outcomes. The implementation of interventions and standardized measures, including early detection indicators, is urgently needed. Antidepressants differ with regard to non-adherence and their cost, and this should be considered when prescribing this medication. The Medication Possession Ratio could be used by the healthcare provider and clinician to identify non-adherent patients for monitoring, and to take necessary corrective actions.

A global systematic overview of socioeconomic factors associated with antidiabetic medication adherence in individuals with type 2 diabetes

BACKGROUND

Antidiabetic medication adherence is a key aspect for successful control of type 2 diabetes mellitus (T2DM). This systematic review aims to provide an overview of the associations between socioeconomic factors and antidiabetic medication adherence in individuals with T2DM.

METHODS

A study protocol was established using the PRISMA checklist. A primary literature search was conducted during March 2022, searching PubMed, Embase, Web of Science, as well as WorldCat and the Bielefeld Academic Search Engine. Studies were included if published between 1990 and 2022 and included individuals with T2DM. During primary screening, one reviewer screened titles and abstracts for eligibility, while in the secondary screening, two reviewers worked independently to extract the relevant data from the full-text articles.

RESULTS

A total of 15,128 studies were found in the primary search, and 102 were finally included in the review. Most studies found were cross-sectional (72) and many investigated multiple socioeconomic factors. Four subcategories of socioeconomic factors were identified: economic (70), social (74), ethnical/racial (19) and geographical (18). The majority of studies found an association with antidiabetic medication adherence for two specific factors, namely individuals' insurance status (10) and ethnicity or race (18). Other important factors were income and education.

CONCLUSIONS

A large heterogeneity between studies was observed, with many studies relying on subjective data from interviewed individuals with a potential for recall bias. Several socioeconomic groups influencing medication adherence were identified, suggesting potential areas of intervention for the improvement of diabetes treatment adherence and individuals' long-term well-being.

Assessment of Medication Adherence Using Pharmacy Data Before and After Percutaneous Coronary Intervention

Objective

Adherence to anti-platelet medications is critical following coronary stenting, but prior studies indicate that clinician assessment and patient self-assessment of adherence are poorly correlated with future medication-taking behavior. We therefore sought to determine if integrated pharmacy data can be used to identify patients at high risk of non-adherence after percutaneous coronary interventions (PCI).

Methods

Using Veteran Affairs (VA) Clinical Assessment, Reporting, and Tracking (CART) data linked with pharmacy records, we assessed adherence to cardiovascular medications from 2012 to 2018. Adherence was defined as the proportion of days covered (PDC) ≥ 0.80. We assessed the association of pre-PCI adherence with post-PCI adherence to P2Y12 inhibitors and clinical outcomes using logistic regression and Cox proportional hazard models, respectively.

Results

Among 56,357 patients, 66.0% filled at least 1 cardiovascular medication within VA for the year prior to PCI and were evaluable for adherence. Pre-PCI non-adherence was 20.7%, and non-adherent patients were more likely to be younger and present non-electively. Non-adherent patients were less likely to adhere to P2Y12 inhibitor therapy after PCI (Adjusted OR 0.45 C.I. 0.41-0.46), compared with adherent patients, and had a higher adjusted risk of mortality (HR 1.17 C.I. 1.03-1.33).

Conclusion

Adherence to cardiovascular medications prior to PCI can be assessed for most patients using pharmacy data, and past adherence is associated with future adherence and mortality after PCI. Use of integrated pharmacy data to identify high-risk patients could improve outcomes and cost-effectiveness of adherence interventions.

Examining factors that influence medication adherence with children seen at outpatient department in Western China: a cross-sectional survey

We aimed to evaluate the prevalence of medication adherence, assess the association between guardians' mental health and medication adherence for children seen at outpatient department from western China, and identify characteristics associated with nonadherence. We conducted a cross-sectional survey. Participants were recruited by consecutive sampling from the outpatient of the West China Second Hospital from October 2021 to April 2022. The Morisky Medication Adherence Scale (MMAS-8) was used to evaluate patients' medication adherence. A multivariate linear regression model was used to analyze influencing factors. 1206 children with a mean age of 6.02 ± 3.86 years were included. Seventeen percent (208/1206) of patients showed good adherence, 24.7% (298/1206) showed moderate adherence, and 58% (700/1206) showed poor adherence. Thirty-five percent (428/1206) of guardians had anxiety. Factors that influenced medication adherence included anxiety score of guardian (P = 0.030), education level of guardian (P = 0.003), annual household income (P = 0.001), and days the patient is on the medication (P = 0.023). A majority of children seen at outpatient department from West China had low medication adherence, and depression and anxiety among guardians were common. Implementing health education measures will be important for improving medication adherence in future.

Real-World Data of Adherence and Drug Survival of Biologics in Treatment-Naïve and Treatment-experienced Adult Patients with Rheumatoid Arthritis

INTRODUCTION

Biologic disease-modifying anti-rheumatics drugs (bDMARDs) and targeted synthetic DMARDs (tsDMARDs) are important treatments for rheumatoid arthritis (RA). As more of these drugs become available, there is a greater need to assess their real-world adherence and drug survival.

METHODS

Treatment-naïve and treatment-experienced patients with RA who initiated treatment with bDMARDs and tofactinib during 2015-2018 in a large Israeli health maintenance organization were included. Adherence and time to treatment suspension were recorded. Odds for adherence were estimated using a multivariable logistic regression model. Risk for treatment suspension was estimated using a mixed-effect Cox proportional hazard model.

RESULTS

The analysis included 753 eligible patients (61.8% treatment-naïve) treated with 1287 treatment episodes (tofacitinib 24.2%, tocilizumab 17.5%, etanercept 16.0%, adalimumab 10.4%, abatacept 9.9%, rituximab 9.0%, golimumab 6.9%, certolizumab pegol 3.6%, infliximab 1.9%, and sarilumab 0.5%). Good adherence was measured for almost all drugs, yet over 50% of all treatment episodes were suspended. Older age was associated with reduced risk for treatment suspension while higher number of primary care visits and higher Charlson's comorbidity score were associated with increased risk. Compared to etanercept, treatment with adalimumab, certolizumab, or rituximab was associated with increased risk for treatment suspension (HR 1.68 95% CI 1.27-2.22, HR 1.62 95% CI 1.00-2.60, and HR 2.72 95% CI 2.02-3.67, respectively).

CONCLUSION

Treatment choice primarily depends on disease activity and prognosis. Real-world data, showing differences in drug survival of bDMARDs and tsDMARD, can also be used in the variety of considerations when choosing treatment. Future studies could separate patients with RA into subgroups, which would also account for potential drug survival differences and enable personalized therapy.

Impact of dementia and drug compliance on patients with acute myocardial infarction

BACKGROUND

In South Korea, the number of people with dementia is rising at a worrisome rate, and many of them also have acute myocardial infarction (AMI), a disease with a high mortality rate.

HYPOTHESIS

We speculated that dementia and drug compliance have significant impact on the mortality of patients with AMI.

METHODS

The study derived data from the National Health Insurance Service-Senior for a retrospective cohort study. The total number of patients diagnosed with AMI for the first time between 2007 and 2013 was 16 835, among whom 2021 had dementia. Medication possession ratio (MPR) was used to assess medication adherence.

RESULTS

AMI patients with dementia had unfavorable baseline characteristics; they had significantly higher risk of all-cause mortality (hazard ratio [HR]: 2.49; 95% confidence interval [CI]: 2.34-2.66; p < .001) and lower MPR (aspirin: 21.9% vs. 42.8%; p < .001). AMI patients were stratified by presence of dementia and medication adherence, and the survival rate was the highest among those with no dementia and good adherence, followed by those with no dementia and poor adherence, those with dementia and good adherence, and those with dementia and poor adherence. The multivariable analysis revealed that dementia (HR: 1.64; 95% CI: 1.53-1.75; p < .001) and poor adherence to medication (HR: 1.60; 95% CI: 1.49-1.71; p < .001) had a significant association with all-cause mortality in AMI patients.

CONCLUSIONS

AMI patients with dementia have a higher mortality rate. Their prognosis is negatively affected by their poorer medication adherence than patients without dementia.

Methods to assess COPD medications adherence in healthcare databases: a systematic review

BACKGROUND

The Global Initiative for Chronic Obstructive Lung Disease 2023 report recommends medication adherence assessment in COPD as an action item. Healthcare databases provide opportunities for objective assessments; however, multiple methods exist. We aimed to systematically review the literature to describe existing methods to assess adherence in COPD in healthcare databases and to evaluate the reporting of influencing variables.

METHOD

We searched MEDLINE, Web of Science and Embase for peer-reviewed articles evaluating adherence to COPD medication in electronic databases, written in English, published up to 11 October 2022 (PROSPERO identifier CRD42022363449). Two reviewers independently conducted screening for inclusion and performed data extraction. Methods to assess initiation (dispensing of medication after prescribing), implementation (extent of use over a specific time period) and/or persistence (time from initiation to discontinuation) were listed descriptively. Each included study was evaluated for reporting variables with an impact on adherence assessment: inpatient stays, drug substitution, dose switching and early refills.

RESULTS

160 studies were included, of which four assessed initiation, 135 implementation and 45 persistence. Overall, one method was used to measure initiation, 43 methods for implementation and seven methods for persistence. Most of the included implementation studies reported medication possession ratio, proportion of days covered and/or an alteration of these methods. Only 11% of the included studies mentioned the potential impact of the evaluated variables.

CONCLUSION

Variations in adherence assessment methods are common. Attention to transparency, reporting of variables with an impact on adherence assessment and rationale for choosing an adherence cut-off or treatment gap is recommended.

Adherence and related cardiovascular outcomes to single pill vs. separate pill administration of antihypertensive triple-combination therapy

OBJECTIVE

To compare adherence to antihypertensive treatment between patients prescribed a three-drug single-pill combination (SPC) of perindopril/amlodipine/indapamide (P/A/I) vs. the combination of an angiotensin-converting enzyme inhibitor (ACEI), a calcium-channel blocker (CCB), and a diuretic (D) as a two-drug SPC plus a third drug given separately.

METHODS

Using the healthcare utilization database of the Lombardy Region (Italy), the 28 210 patients, aged at least 40 years, who were prescribed P/A/I SPC during 2015-2018 were identified and the date of the first prescription was defined as the index date. For each patient prescribed the SPC, a comparator who started ACEI/CCB/D treatment as a two-pill combination was considered. Adherence to the triple combination was assessed over the year after the index date as the proportion of the follow-up days covered by prescription (PDC). Patients who had a PDC >75% were defined as highly adherent to drug therapy. Log-binomial regression models were fitted to estimate the risk ratio of treatment adherence in relation to the drug treatment strategy.

RESULTS

About 59 and 25% of SPC and two-pill combination users showed high adherence, respectively. Compared with patients under a three-drug two-pill combination, those who were treated with the three-drug SPC had a higher propensity to be highly adherent to the triple combination (2.38, 95% confidence interval: 2.32-2.44). This was the case regardless of the sex, age, comorbidities, and number of co-treatments.

CONCLUSIONS

In a real-life setting, patients under three-drug SPC exhibited more frequently a high adherence to antihypertensive treatment than those prescribed a three-drug two-pill combination.

Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

BACKGROUND

Increasingly, patient medication adherence data are being consolidated from claims databases and electronic health records (EHRs). Such databases offer an indirect avenue to gauge medication adherence in our data-rich healthcare milieu. The surge in data accessibility, coupled with the pressing need for its conversion to actionable insights, has spotlighted data mining, with machine learning (ML) emerging as a pivotal technique. Nonadherence poses heightened health risks and escalates medical costs. This paper elucidates the synergistic interaction between medical database mining for medication adherence and the role of ML in fostering knowledge discovery.

METHODS

We conducted a comprehensive review of EHR applications in the realm of medication adherence, leveraging ML techniques. We expounded on the evolution and structure of medical databases pertinent to medication adherence and harnessed both supervised and unsupervised ML paradigms to delve into adherence and its ramifications.

RESULTS

Our study underscores the applications of medical databases and ML, encompassing both supervised and unsupervised learning, for medication adherence in clinical big data. Databases like SEER and NHANES, often underutilized due to their intricacies, have gained prominence. Employing ML to excavate patient medication logs from these databases facilitates adherence analysis. Such findings are pivotal for clinical decision-making, risk stratification, and scholarly pursuits, aiming to elevate healthcare quality.

CONCLUSION

Advanced data mining in the era of big data has revolutionized medication adherence research, thereby enhancing patient care. Emphasizing bespoke interventions and research could herald transformative shifts in therapeutic modalities.

Persistence of overactive bladder pharmacological treatment in women as reflected from large-scale real-world data of prescription claims: A retrospective cohort study

INTRODUCTION AND OBJECTIVES

Medical treatments for overactive bladder (OAB) have proven efficacy in controlled trials. However, 1-year treatment persistence is reported to be as low as 25% for anticholinergics and 40% for β3 agonists. Real-world data on treatment continuation and treatment sequence is limited. Therefore, we aimed to study treatment persistence trends in women initiated on OAB medications.

MATERIALS AND METHODS

We used advanced data-mining techniques to query the largest regional provider's medication purchase database, dispensing for patients, for all women initiating OAB pharmacotherapy between 2010 and 2020. Treatment persistence was measured as days in which the patient was in possession of medication and nonpersistence was defined as prescription nonrefilling for 90 days. We employed a Sankey diagram to explore trends in OAB medication acquisition and treatment sequence. We compared treatment persistence using Kaplan-Meier survival curves and pairwise log-rank analysis.

RESULTS

Here, 46 079 women made 791 681 unique claims of OAB medications. Only 39% of the patients tried more than one OAB formulation, including dose change. The overall persistence rate for all drugs was 55% in 30 days, 46% in 90 days, and 37% per year. The persistence rate for Mirabegron at 30 days was 54%, 42% at 90 days, and 17% at 1 year. Overall, persistence rates were unchanged when stratifying by the time Mirabegron insurance acceptance into coverage (p > 0.05).

CONCLUSIONS

Real-world OAB pharmacotherapy persistence rates are lower than previously reported. The introduction of Mirabegron did not seem to improve these rates or affect the treatment sequence.

Impact of adherence to disease modifying therapies on long-term clinical and economic outcomes in multiple sclerosis: A claims analysis of real-world data

BACKGROUND

Multiple sclerosis (MS) is a chronic neurodegenerative inflammatory disease that requires long-term commitment to treatment for optimal outcomes. A variety of disease-modifying therapies (DMTs) are now available that reduce relapses and delay disease progression in people with MS. However, adherence remains a significant issue, with a variety of mental, physical, and emotional factors contributing to non-adherence. In a large number of studies, non-adherence has been associated with worse clinical outcomes (relapses and disease severity), a higher economic burden, and loss of work productivity. However, many of these studies were short-term (1-2 years) or cross-sectional studies; thus, more data are needed on the long-term clinical and economic impacts of DMT non-adherence. The objective of this study was to determine the longer-term impact of adherence to DMTs on disease activity and healthcare resource utilization (HCRU) in people with MS. The study hypothesis was that non-adherence to DMTs would be associated long-term with worse clinical outcomes and a higher economic burden.

METHODS

A retrospective administrative claims analysis of the US MarketScan® Commercial database (2011-2017) in individuals (18-65 years) with MS (based on International Classification of Disease coding) was conducted. Adherence was classified by proportion of days covered (PDC) ≥0.8 and non-adherence by PDC <0.8; sensitivity analyses helped further categorize as moderately (PDC ≥0.6-<0.8) or highly (PDC <0.6) non-adherent. Cohorts were matched using propensity score matching. Time to first relapse, annualized relapse rate (ARR), time to use of assistive devices (cane/walker or wheelchair), and annual HCRU (inpatient, emergency room [ER], outpatient, and MRI visits and costs) were compared between cohorts.

RESULTS

10,248 MS cases were identified; 58% met adherence criteria, and 42% met non-adherence criteria. Mean follow-up from diagnosis or first DMT claim was 5.3 years. Adherent individuals had a longer time to first relapse (hazard ratio [HR] 0.83; 95% confidence interval [CI]: 0.77-0.90; p<0.0001), a lower ARR (0.13 vs. 0.18, respectively; rate ratio [RR] 0.75 [95% CI: 0.71-0.79]; p<0.0001), and longer lag times to cane/walker use (HR 0.79 [95% CI: 0.66-0.94]; p=0.0067) and wheelchair use (HR 0.68 [95% CI: 0.55-0.83]; p=0.0002) than non-adherent individuals. Adherent individuals had fewer annual inpatient and ER visits and lower total costs than those who were non-adherent (p<0.0001). Sensitivity analyses showed that differences in disease activity and HCRU were generally more pronounced between matched adherent and highly non-adherent pairs than between matched adherent and moderately non-adherent pairs.

CONCLUSION

Significant differences in MS disease activity and HCRU were observed based on adherence to DMTs. Our study underscores the negative impact of non-adherence to DMTs on long-term clinical and economic outcomes in MS.

Development of Prediction Model Using Machine-Learning Algorithms for Nonsteroidal Anti-inflammatory Drug-Induced Gastric Ulcer in Osteoarthritis Patients: Retrospective Cohort Study of a Nationwide South Korean Cohort

Background

Nonsteroidal anti-inflammatory drugs (NSAID) are currently among the most prescribed medications worldwide to relieve pain and reduce inflammation, especially in patients suffering osteoarthritis (OA). However, NSAIDs are known to have adverse effects on the gastrointestinal system. If a gastric ulcer occurs, planned OA treatment needs to be changed, incurring additional treatment costs and causing discomfort for both patients and clinicians. Therefore, it is necessary to create a gastric ulcer prediction model that can reflect the detailed health status of each individual and to use it when making treatment plans.

Methods

Using sample cohort data from 2008 to 2013 from the National Health Insurance Service in South Korea, we developed a prediction model for NSAID-induced gastric ulcers using machine-learning algorithms and investigated new risk factors associated with medication and comorbidities.

Results

The population of the study consisted of 30,808 patients with OA who were treated with NSAIDs between 2008 and 2013. After a 2-year follow-up, these patients were divided into two groups: without gastric ulcer (n=29,579) and with gastric ulcer (n=1,229). Five machine-learning algorithms were used to develop the prediction model, and a gradient boosting machine (GBM) was selected as the model with the best performance (area under the curve, 0.896; 95% confidence interval, 0.883-0.909). The GBM identified 5 medications (loxoprofen, aceclofenac, talniflumate, meloxicam, and dexibuprofen) and 2 comorbidities (acute upper respiratory tract infection [AURI] and gastroesophageal reflux disease) as important features. AURI did not have a dose-response relationship, so it could not be interpreted as a significant risk factor even though it was initially detected as an important feature and improved the prediction performance.

Conclusions

We obtained a prediction model for NSAID-induced gastric ulcers using the GBM method. Since personal prescription period and the severity of comorbidities were considered numerically, individual patients' risk could be well reflected. The prediction model showed high performance and interpretability, so it is meaningful to both clinicians and NSAID users.

Association between office visit intervals and long-term cardiovascular risk in hypertensive patients

Hypertension is a chronic disease that requires long-term follow-up in many patients, however, optimal visit intervals are not well-established. This study aimed to evaluate the incidences of major cardiovascular events (MACEs) according to visit intervals. We analyzed data from 9894 hypertensive patients in the Korean Hypertension Cohort, which enrolled and followed up 11,043 patients for over 10 years. Participants were classified into five groups based on their median visit intervals (MVIs) during the 4-year period and MACEs were compared among the groups. The patients were divided into clinically relevant MVIs of one (1013; 10%), two (1299; 13%), three (2732; 28%), four (2355; 24%), and six months (2515; 25%). The median follow-up period was 5 years (range: 1745 ± 293 days). The longer visit interval groups did not have an increased cumulative incidence of MACE (12.9%, 11.8%, 6.7%, 5.9%, and 4%, respectively). In the Cox proportional hazards model, those in the longer MVI group had a smaller hazard ratio (HR) for MACEs or all-cause death: 1.77 (95% confidence interval [CI], 1.45-2.17), 1.7 (95% CI: 1.41-2.05), 0.90 (95% CI: 0.74-1.09) and 0.64 (95% CI: 0.52-0.79), respectively (Reference MVI group of 75-104 days). In conclusion, a follow-up visits with a longer interval of 3-6 months was not associated with an increased risk of MACE or all-cause death in hypertensive patients. Therefore, once medication adjustment is stabilized, a longer interval of 3-6 months is reasonable, reducing medical expenses without increasing the risk of cardiovascular outcomes.

Capturing the variety of clinical pathways in patients with schizophrenic disorders through state sequences analysis

BACKGROUND

Care pathways are increasingly being used to enhance the quality of care and optimize the use of resources for health care. Nevertheless, recommendations regarding the sequence of care are mostly based on consensus-based decisions as there is a lack of evidence on effective treatment sequences. In a real-world setting, classical statistical tools were insufficient to consider a phenomenon with such high variability adequately and have to be integrated with novel data mining techniques suitable for identifying patterns in complex data structures. Data-driven techniques can potentially support empirically identifying effective care sequences by extracting them from data collected routinely. The purpose of this study is to perform a state sequence analysis (SSA) to identify different patterns of treatment and to asses whether sequence analysis may be a useful tool for profiling patients according to the treatment pattern.

METHODS

The clinical application that motivated the study of this method concerns the mental health field. In fact, the care pathways of patients affected by severe mental disorders often do not correspond to the standards required by the guidelines in this field. In particular, we analyzed patients with schizophrenic disorders (i.e., schizophrenia, schizotypal or delusional disorders) using administrative data from 2015 to 2018 from Lombardy Region. This methodology considers the patient's therapeutic path as a conceptual unit, composed of a succession of different states, and we show how SSA can be used to describe longitudinal patient status.

RESULTS

We define the states to be the weekly coverage of different treatments (psychiatric visits, psychosocial interventions, and anti-psychotic drugs), and we use the longest common subsequences (dis)similarity measure to compare and cluster the sequences. We obtained three different clusters with very different patterns of treatments.

CONCLUSIONS

This kind of information, such as common patterns of care that allowed us to risk profile patients, can provide health policymakers an opportunity to plan optimum and individualized patient care by allocating appropriate resources, analyzing trends in the health status of a population, and finding the risk factors that can be leveraged to prevent the decline of mental health status at the population level.

Self-reported medication adherence instruments and their applicability in low-middle income countries: a scoping review

Introduction

Medication non-adherence is an important public health issue, associated with poor clinical and economic outcomes. Globally, self-reported instruments are the most widely used method to assess medication adherence. However, the majority of these were developed in high-income countries (HICs) with a well-established health care system. Their applicability in low- and middle-income countries (LMICs) remains unclear. The objective of this study is to systematically review the applicability of content and use of self-reported adherence instruments in LMICs.

Method

A scoping review informed by a literature search in Pubmed, EBSCO, and Cochrane databases was conducted to identify studies assessing medication adherence using self-reported instruments for patients with five common chronic diseases [hypertension, diabetes, dyslipidemia, asthma, or Chronic Obstructive Pulmonary Disease (COPD)] in LMICs up to January 2022 with no constraints on publication year. Two reviewers performed the study selection process, data extraction and outcomes assessment independently. Outcomes focused on LMIC applicability of the self-reported adherence instruments assessed by (i) containing LMIC relevant adherence content; (ii) methodological quality and (iii) fees for use.

Findings

We identified 181 studies that used self-reported instruments for assessing medication adherence in LMICs. A total of 32 distinct types of self-reported instruments to assess medication adherence were identified. Of these, 14 self-reported instruments were developed in LMICs, while the remaining ones were adapted from self-reported instruments originally developed in HICs. All self-reported adherence instruments in studies included presented diverse potential challenges regarding their applicability in LMICs, included an underrepresentation of LMIC relevant non-adherence reasons, such as financial issues, use of traditional medicines, religious beliefs, lack of communication with healthcare provider, running out of medicine, and access to care. Almost half of included studies showed that the existing self-reported adherence instruments lack sufficient evidence regarding cross cultural validation and internal consistency. In 70% of the studies, fees applied for using the self-reported instruments in LMICs.

Conclusion

There seems insufficient emphasis on applicability and methodological rigor of self-reported medication adherence instruments used in LMICs. This presents an opportunity for developing a self-reported adherence instrument that is suitable to health systems and resources in LMICs.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier: CRD42022302215.

Exploring the Multidimensional Relationship Between Medication Beliefs and Adherence to Medications Among Older Adults Living With Multimorbidity Using Polynomial Regression: An Observational Cohort Study

BACKGROUND

People living with multimorbidity may hold complex beliefs about medicines, potentially influencing adherence. Polynomial regression offers a novel approach to examining the multidimensional relationship between medication beliefs and adherence, overcoming limitations associated with difference scores.

PURPOSE

To explore the multidimensional relationship between medication beliefs and adherence among people living with multimorbidity.

METHODS

Secondary analysis was conducted using observational data from a cohort of older adults living with ≥2 chronic conditions, recruited from 15 family practices in Ireland in 2010 (n = 812) and followed up in 2012 (n = 515). Medication beliefs were measured with the Beliefs about Medicines Questionnaire-Specific. Adherence was assessed with the medication possession ratio using prescription data from the national primary care reimbursement service. Polynomial regression was used to explore the best-fitting multidimensional models for the relationship between (i) beliefs and adherence at baseline, and (ii) beliefs at baseline and adherence at follow-up.

RESULTS

Confirmatory polynomial regression rejected the difference-score model, and exploratory polynomial regression indicated quadratic models for both analyses. Reciprocal effects were present in both analyses (slope [Analysis 1]: β = 0.08, p = .007; slope [Analysis 2]: β = 0.07, p = .044), indicating that adherence was higher when necessity beliefs were high and concern beliefs were low. Nonreciprocal effects were also present in both analyses (slope [Analysis 1]: β = 0.05, p = .006; slope [Analysis 2]: β = 0.04, p = .043), indicating that adherence was higher when both necessity and concern beliefs were high.

CONCLUSIONS

Among people living with multimorbidity, there is evidence that the relationship between medication beliefs and adherence is multidimensional. Attempts to support adherence should consider the combined role of necessity and concern beliefs.