Risk Reduction to Disease Management: Clinical Pharmacists as Cardiovascular Care Providers

Preliminary study: Data analytics for predicting medication adherence in Malaysian arthritis patients

Objective

In multi-ethnic Malaysian populations, understanding and improving medication adherence in arthritis patients is crucial for enhancing treatment outcomes. Non-adherence, whether intentional or due to complex factors, can lead to severe long-term consequences such as increased disability and disease progression. This study analysed and predicted Malaysian arthritis medication adherence using 13 machine learning models.

Methods

A majority of 151 responders (82.1%) were female and 58.3% had comorbid illnesses. Notably, 90.07% of respondents were non-adherence to their prescription, with significant differences by occupation and aids in medication. This study's machine learning models perform better with recursive feature elimination for feature selection. Key variables included occupation, presence of other diseases, religion, income, medication aid, marital status, and number of medications taken per day. These variables were used to build predictive models for medication adherence.

Results

Results from machine learning algorithms showed varied performance. Support vector machine, gradient boosting, and random forest models performed best with AUC values of 0.907, 0.775, and 0.632 utilizing all variables. When using selected variables, random forest (AUC = 0.883), gradient boosting (AUC = 0.872), and Bagging (AUC = 0.860) performed best. Model interpretation using SHapley Additive exPlanations analysis identified occupation as the most important variable affecting medication adherence. The study also found that unemployment, concomitant disease, income, medication aid type, marital status, and daily medication count are connected with non-adherence.

Conclusion

The findings underscore the multifaceted nature of medication adherence in arthritis, highlighting the need for personalized approaches to improve adherence rates.

Changes in clinical markers observed from pharmacist-managed cardiovascular risk reduction clinics in federally qualified health centers: A retrospective cohort study

BACKGROUND

Reductions in hemoglobin A1c (HbA1C) have been associated with improved cardiovascular outcomes and savings in medical expenditures. One public health approach has involved pharmacists within primary care settings. The objective was to assess change in HbA1C from baseline after 3-5 months of follow up in pharmacist-managed cardiovascular risk reduction (CVRR) clinics.

METHODS

This retrospective cohort chart review occurred in eight pharmacist-managed CVRR federally qualified health clinics (FQHC) in Indiana, United States. Data were collected from patients seen by a CVRR pharmacist within the timeframe of January 1, 2015 through February 28, 2020. Data collected include: demographic characteristics and clinical markers between baseline and follow-up. HbA1C from baseline after 3 to 5 months was assessed with pared t-tests analysis. Other clinical variables were assessed and additional analysis were performed at 6-8 months. Additional results are reported between 9 months and 36 months of follow up.

RESULTS

The primary outcome evaluation included 445 patients. Over 36 months of evaluation, 3,803 encounters were described. Compared to baseline, HbA1C was reduced by 1.6% (95%CI -1.8, -1.4, p<0.01) after 3-5 months of CVRR care. Reductions in HbA1C persisted at 6-8 months with a reduction of 1.8% ([95%CI -2.0, -1.5] p<0.01). The follow-up losses were 29.5% at 3-5 months and 93.2% at 33-36 months.

CONCLUSIONS

Our study augments the existing literature by demonstrating the health improvement of pharmacist-managed CVRR clinics. The great proportion of loss to follow-up is a limitation of this study to be considered. Additional studies exploring the expansion of similar models may amplify the public health impact of pharmacist-managed CVRR services in primary care sites.

Potentially Inappropriate Prescriptions in Heart Failure with Reduced Ejection Fraction (PIP-HFrEF)

Heart failure (HF) is a chronic debilitating and potentially life-threatening condition. Heart Failure patients are usually at high risk of polypharmacy and consequently, potentially inappropriate prescribing leading to poor clinical outcomes. Based on the published literature, a comprehensive HF-specific prescribing review tool is compiled to avoid medications that may cause HF or harm HF patients and to optimize the prescribing practice of HF guideline-directed medical therapies. Recommendations are made in line with the last versions of ESC guidelines, ESC position papers, scientific evidence, and experts' opinions.

Patient experiences in managing non-communicable diseases in Namibia

INTRODUCTION

The prevalence of non-communicable diseases (NCDs) is rising in Namibia, and with it, the need for pharmacists to empower patients. This research aims to 1) identify patient-reported barriers and facilitators to managing chronic NCDs for Namibians, and 2) characterize common patient-reported medication and health-related needs of Namibians with chronic NCDs.

METHODS

This qualitative study used semi-structured interviews to elicit participant perspectives regarding NCDs. The study used the conceptual frameworks of the Health Belief Model, the Theory of Planned Behavior, and the Explanatory Models of Illness to identify and understand key factors necessary to develop relevant patient-centered interventions. Participants were recruited from pharmacies throughout Namibia. Data were analyzed using thematic analysis from the transcribed interviews.

RESULTS

A total of 23 interviews were conducted, with 20 being included in the final analysis. Themes identified included: 1) participants were motivated to seek care when they were symptomatic; 2) participants felt motivated to care for their condition to improve their own lives and their families for their family's sake; 3) participants integrated information from a variety of sources into their disease knowledge; 4) participants describe wanting to be more engaged in managing their health and wanting support to help manage their condition; 5) participants describe awareness of lifestyle changes necessary to improve health, but face many barriers to achieving them.

CONCLUSION

This study identified key factors that are essential for pharmacists and other health care professionals to be aware of in order to support patients who are diagnosed with an NCD. Health care providers should consider strategies to engage patients to harness their motivations, enhance health education, and create systems to reduce barriers to addressing lifestyle.