Improving Medication Adherence in an ACO Primary Care Office With a Pharmacist­Led Clinic: A Report From the ACORN SEED

2020 ◽  
pp. 089719002093427
Author(s):  
Genevieve Hale ◽  
Cynthia Moreau ◽  
Tina Joseph ◽  
Jessica Phyu ◽  
Nemesis Merly ◽  
...  
Keyword(s):  
Primary Care ◽  
Medication Adherence ◽  
Renin Angiotensin System ◽  
Study Data ◽  
Care Organization ◽  
Medicare Beneficiaries ◽  
Medication Therapy ◽  
Patient Interviews ◽  
Information Set ◽  
Primary Care Office

Background: As health care moves into the era of value-based medicine, both ambulatory and acute settings are being held accountable for the quality of care provided to patients. Previous studies have shown improved clinical outcomes through medication therapy management (MTM) due to improved medication adherence. Objective: The purpose of this study is to assess the effects of a pharmacist-led MTM clinic in an accountable care organization (ACO) affiliated primary care office on adherence to renin-angiotensin system (RAS) antagonists, diabetic medications, and/or statin medications reported through Healthcare Effectiveness Data and Information Set (HEDIS) Medicare Star Ratings. Methods: In this retrospective cohort study, data were collected via chart review of pharmacist-led MTM patient interviews and follow-ups between October 2015 and April 2017. Eligible patients were Humana HMO Medicare beneficiaries, with at least one chronic disease state, for which they were treated with a RAS antagonist, statin, or diabetic medication. The primary outcome of this investigation was a change in Star Rating scores for medication adherence to RAS antagonists, diabetic medications, and statins from pre- and postpharmacist MTM intervention. Results: A total of 102 patients were referred to the MTM clinic. Out of these, 32 had a follow-up visit, resulting in a total of 25 interventions. One year prior to MTM clinic implementation, most Star Ratings were consistently 3 (out of 5) for RAS antagonists, diabetic medications, and statins. Postintervention, ratings increased to 4 or 5 across these categories. Conclusion: Implementing a pharmacist-led MTM clinic in the ACO primary care setting improves Medicare Star Ratings in patients with chronic conditions.

scholarly journals Disparities in the Use of In-Person and Telehealth Primary Care Among High- and Low-Risk Medicare Beneficiaries During COVID-19

2021 ◽  
Vol 8 ◽  
pp. 237437352110652
Author(s):  
Ying Jessica Cao ◽  
Dandi Chen ◽  
Yao Liu ◽  
Maureen Smith
Keyword(s):  
Primary Care ◽  
High Risk ◽  
Urban Areas ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Vulnerable Groups ◽  
Care Utilization ◽  
Care Organization ◽  
Medicare Beneficiaries

We conducted a retrospective cohort study using a difference-in-differences design to estimate differences in primary care outpatient clinic visit utilization among high- and low-risk Medicare aging beneficiaries from an Accountable Care Organization during the COVID-19 pandemic compared to a control cohort from the previous year. High-risk was defined as having a Hierarchical Condition Category score of 2 or higher. A total of 582 101 patient-month records were analyzed. After adjusting for patient characteristics, those in the high-risk group had 339 (95% CI [333, 345]) monthly outpatient encounters (in-person and telehealth) per 1000 patients compared to 186 (95% CI [182, 190]) in the low-risk group. This represented a 22.8% and 26.5% decline from the previous year in each group, respectively. Within each group, there was lower utilization among those who were older, male, or dually eligible for Medicaid in the high-risk group and among those who were younger, male, or non-white in the low-risk group. Telehealth use was less common among patients who were older, dually eligible for Medicaid or living in rural/suburban areas compared to urban areas. All results were significant at the 95% level. We found significant disparities based on age, gender, insurance status, and non-white race in primary care utilization during the pandemic among Medicare beneficiaries. With the exception of gender, these disparities differed between high- and low-risk groups. Interventions targeting these vulnerable groups may improve health equity in the setting of public health emergencies.

scholarly journals Knowledge about Disease, Medication Therapy, and Related Medication Adherence Levels among Patients with Hypertension

Medicina ◽  
2019 ◽  
Vol 55 (11) ◽  
pp. 715 ◽  
Author(s):  
Gavrilova ◽  
Bandere ◽  
Rutkovska ◽  
Šmits ◽  
Mauriņa ◽  
...  
Keyword(s):  
Medication Adherence ◽  
Patient Outcomes ◽  
Study Data ◽  
The Self ◽  
Demographic Differences ◽  
Cross Sectional ◽  
Medication Therapy ◽  
Adherence Scale ◽  
Medication Taking Behavior ◽  
Insight Into

Background and Objectives: A particular problem in cardiology is poor adherence to pharmacological treatment among patients with hypertension. It is known that approximately half of these patients do not use their medications as prescribed by their doctor. Patients may choose not to follow the doctor’s recommendations and regularly do not control their blood pressure, owing to many factors. A convenient method for measuring the level of adherence is the Morisky Medication Adherence Scale, which also provides insight into possible remedies for low adherence. We investigated their therapy, knowledge about the disease and its control, and demographic differences to assess the adherence of patients with hypertension. Materials and Methods: This was a cross-sectional observational study. Data were collected through a survey of 12 pharmacies in Latvia. The study involved 187 participants with hypertension. Results: The prevalence of non-adherence was 46.20% in Latvia. The oldest patients were the most adherent (p = 0.001, β = 0.27). The higher the self-rated extent from 0 to 10, to which the patient takes their antihypertensives exactly as instructed by their physician, the higher the level of adherence (p < 0.0001, β = 0.38), where at “0”, the patient does not follow physician instructions at all, and at “10”, the patient completely follows the physician’s instructions. Non-adherent patients tend to assess their medication-taking behavior more critically than adherent patients. The longer the patient is known to suffer from hypertension, the more adherent he or she is (p = 0.014, β = 0.19). Conclusions: Medication non-adherence among patients with hypertension is high in Latvia. Further investigations are needed to better understand the reasons for this and to establish interventions for improving patient outcomes.

Lessons Learned From a Pilot Project on Telemedicine Advance Care Planning in an Urban Geriatric Primary Care Office

2021 ◽  
pp. 104990912110369
Author(s):  
Olivia M. Seecof ◽  
Molly Allanoff ◽  
John Liantonio ◽  
Susan Parks
Keyword(s):  
Primary Care ◽  
Pilot Study ◽  
Medical Record ◽  
Advance Care Planning ◽  
Pilot Project ◽  
Lessons Learned ◽  
Care Planning ◽  
Geriatric Population ◽  
Advance Care ◽  
Primary Care Office

Purpose: There is a dearth of literature regarding the documentation of advance care planning (ACP) in the geriatric population, despite the controversial, yet well-studied need for ACP. The purpose of this pilot study was to provide an update to a prior study from our institution that outlined the need for increased documentation of advance care planning (ACP) in an urban geriatric population. Methods: Our study involved using telemedicine to conduct dedicated ACP visits and an electronic medical record (EMR) note-template specifically designed for these visits in an attempt to increase the amount of documented ACP in the EMR in this population. Results: The study did not yield significant results due to the inability to schedule enough patients for these dedicated visits. Discussion: While our study was ultimately unsuccessful, 3 crucial lessons were identified that will inform and fuel future interventions by the authors to further the study of documentation of ACP.

scholarly journals Elderly Patients in Primary Care are Still at Risks of Receiving Potentially Inappropriate Medications

2021 ◽  
Vol 12 ◽  
pp. 215013272110350
Author(s):  
Pasitpon Vatcharavongvan ◽  
Viwat Puttawanchai
Keyword(s):  
Primary Care ◽  
Primary Care Clinic ◽  
Clinical Decision ◽  
Cross Sectional Study ◽  
Study Data ◽  
Patient Specific ◽  
Potentially Inappropriate Medications ◽  
Cross Sectional ◽  
Care Clinic ◽  
Inappropriate Medications

Background Most older adults with comorbidities in primary care clinics use multiple medications and are at risk of potentially inappropriate medications (PIMs) prescription. Objective This study examined the prevalence of polypharmacy and PIMs using Thai criteria for PIMs. Methods This study was a retrospective cross-sectional study. Data were collected from electronic medical records in a primary care clinic in 2018. Samples were patients aged ≥65 years old with at least 1 prescription. Variables included age, gender, comorbidities, and medications. The list of risk drugs for Thai elderly version 2 was the criteria for PIMs. The prevalence of polypharmacy and PIMs were calculated, and multiple logistic regression was conducted to examine associations between variables and PIMs. Results Of 2806 patients, 27.5% and 43.7% used ≥5 medications and PIMs, respectively. Of 10 290 prescriptions, 47% had at least 1 PIM. The top 3 PIMs were anticholinergics, proton-pump inhibitors, and nonsteroidal anti-inflammatory drugs (NSAIDs). Polypharmacy and dyspepsia were associated with PIM prescriptions (adjusted odds ratio 2.48 [95% confident interval or 95% CI 2.07-2.96] and 3.88 [95% CI 2.65-5.68], respectively). Conclusion Prescriptions with PIMs were high in the primary care clinic. Describing unnecessary medications is crucial to prevent negative health outcomes from PIMs. Computer-based clinical decision support, pharmacy-led interventions, and patient-specific drug recommendations are promising interventions to reduce PIMs in a primary care setting.

scholarly journals Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis

2021 ◽  
Vol 12 ◽  
pp. 204062232199026
Author(s):  
Ming Tsuey Lim ◽  
Norazida Ab Rahman ◽  
Xin Rou Teh ◽  
Chee Lee Chan ◽  
Shantini Thevendran ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Primary Care ◽  
Medication Adherence ◽  
Poor Adherence ◽  
Adherence Measure ◽  
Primary Care Clinics ◽  
Assessment Period ◽  
Hba1c Target ◽  
Optimal Adherence

Background: Medication adherence measures are often dichotomized to classify patients into those with good or poor adherence using a cut-off value ⩾80%, but this cut-off may not be universal across diseases or medication classes. This study aimed to examine the cut-off value that optimally distinguish good and poor adherence by using the medication possession ratio (MPR) and proportion of days covered (PDC) as adherence measures and glycated hemoglobin (HbA1c) as outcome measure among type 2 diabetes mellitus (T2DM) patients. Method: We used pharmacy dispensing data of 1461 eligible T2DM patients from public primary care clinics in Malaysia treated with oral antidiabetic drugs between January 2018 and May 2019. Adherence rates were calculated during the period preceding the HbA1c measurement. Adherence cut-off values for the following conditions were compared: adherence measure (MPR versus PDC), assessment period (90-day versus 180-day), and HbA1c target (⩽7.0% versus ⩽8.0%). Results: The optimal adherence cut-offs for MPR and PDC in predicting HbA1c ⩽7.0% ranged between 86.1% and 98.3% across the two assessment periods. In predicting HbA1c ⩽8.0%, the optimal adherence cut-offs ranged from 86.1% to 92.8%. The cut-off value was notably higher with PDC as the adherence measure, shorter assessment period, and a stricter HbA1c target (⩽7.0%) as outcome. Conclusion: We found that optimal adherence cut-off appeared to be slightly higher than the conventional value of 80%. The adherence thresholds may vary depending on the length of assessment period and outcome definition but a reasonably wise cut-off to distinguish good versus poor medication adherence to be clinically meaningful should be at 90%.

scholarly journals Analysis of Annual Costs of Mobile Clinics in the Southern United States

2020 ◽  
Vol 11 ◽  
pp. 215013272098062
Author(s):  
Sharon Attipoe-Dorcoo ◽  
Rigoberto Delgado ◽  
Dejian Lai ◽  
Aditi Gupta ◽  
Stephen Linder
Keyword(s):  
Primary Care ◽  
Healthcare Services ◽  
Medicare Beneficiaries ◽  
Mobile Clinic ◽  
Efficient Manner ◽  
Healthcare Facilities ◽  
Capital Costs ◽  
At Risk Populations ◽  
Mobile Clinics ◽  
The Cost

Introduction Mobile clinics provide an efficient manner for delivering healthcare services to at-risk populations, and there is a need to understand their economics. This study analyzes the costs of operating selected mobile clinic programs representing service categories in dental, dental/preventive, preventive care, primary care/preventive, and mammography/primary care/preventive. Methods The methodology included a self-reported survey of 96 mobile clinic programs operating in Texas, North Carolina, Georgia, and Florida; these states did not expand Medicaid and have a large proportion of uninsured individuals. Data were collected over an 8-month period from November 2016 to July 2017. The cost analyses were conducted in 2018, and were analyzed from the provider perspective. The average annual estimated costs; as well the costs per patient in each mobile clinic program within different service delivery types were assessed. Costs reported in the study survey were classified into recurrent direct costs and capital costs. Results Results indicate that mean operating costs range from about $300 000 to $2.5 million with costs increasing from mammography/primary care/preventive delivery to dental/preventive. The majority of mobile clinics provided dental care followed by dental/preventive. The cost per patient visit for all mobile clinic service types ranged from $65 to $529, and appears to be considerably less than those reported in the literature for fixed clinic services. Conclusion The overall costs of all delivery types in mobile clinics were lower than the costs of providing care to Medicare beneficiaries in federally funded health centers, making mobile clinics a sound economic complement to stationary healthcare facilities.

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