Search Results (6)

Drug addiction is a rising concern globally that has deeply attracted the attention of the healthcare sector. The United States is not an exception, and the drug addiction crisis there is even more serious, with 10% of adults having faced substance use disorder, while around 75% of this number has been reported as not having received any treatment. Surprisingly, there are annually over 70,000 deaths reported as being due to drug overdose. Researchers are continually searching for solutions, as the current strategies have been ineffective. Health informatics platforms like electronic health records, telemedicine, and the clinical decision support system have great potential in tracking the healthcare data of patients on an individual basis and provide precise medical support in a private space. Such technologies have been found to be useful in identifying the risk factors of drug addiction among people and mitigating them. Moreover, the platforms can be used to check prescriptions of addictive drugs such as opioids and caution healthcare providers. Programs such as the Prescription Drug Monitoring Program (PDMP) and the Drug and Alcohol Services Information Systems (DASIS) are already in action in the US, but the situation demands more in-depth studies in order to mitigate substance use disorders. Artificial intelligence (AI), when combined with health informatics, can aid in the analysis of large amounts of patient data and aid in classifying nature of addiction to assist in the provision of personalized care. Full article

Background: Copay cards are intended to mitigate patient out-of-pocket (OOP) expenses. This qualitative, exploratory focus group study aimed to capture patient perceptions of copay cards and copay adjustment programs (CAPs; insurers’ accumulator and maximizer policies), which redirect the copay card utilization benefits intended for patients’ OOP expenses. Methods: Patients with chronic conditions were recruited through Janssen’s Patient Engagement Research Council program. They completed a survey and attended a live virtual session to provide feedback on copay cards. Results: Among 33 participants (median age, 49 years [range, 24–78]), the most frequent conditions were cardiovascular-metabolic disease and inflammatory bowel disease. Patients associated copay cards with lessening financial burden, improving general and mental health, and enabling medication adherence. An impact on medication adherence was identified by 10 (63%) White and nine (100%) Black respondents. Some patients were unaware of CAPs despite having encountered them; they recommended greater copay card education and transparency about CAPs. Conclusion: Patients relied on copay cards to help afford their prescribed medication OOP expenses and maintain medication adherence. Use of CAPs may increase patient OOP expenses. Patients would benefit from awareness programs and industry – healthcare provider partnerships that facilitate and ensure access to copay cards. Full article

The European DRUID (Drive Under the Influence of drugs, alcohol, and medicines) program classifies medications into three categories according to their effect on one’s fitness to drive. The trend in the use of driving-impairing medicines (DIMs) in a region of Spain between 2015 and 2019 was analyzed through a population-based registry study. Pharmacy dispensing records for DIMs are provided. The use of DIMs on drivers was weighted according to the national driver’s license census. The analysis was performed considering the population distribution by age and sex, treatment length, and the three DRUID categories. DIMs were used by 36.46% of the population and 27.91% of drivers, mainly chronically, with considerable daily use (8.04% and 5.34%, respectively). Use was more common in females than in males (42.28% vs. 30.44%) and increased with age. Among drivers, consumption decreases after 60 years of age for females and after 75 years of age for males. There was a 34% increase in the use of DIMs between 2015 and 2019, with a focus on daily use (>60%). The general population took 2.27 ± 1.76 DIMs, fundamentally category II (moderate influence on fitness to drive) (20.3%) and category III (severe influence on fitness to drive) (19.08%). The use of DIMs by the general population and drivers is significant and has increased in recent years. The integration of the DRUID classification into electronic prescription tools would assist physicians and pharmacists in providing adequate information to the patient about the effects of prescribed medications on their fitness to drive. Full article

The opioid epidemic is a public health crisis that disproportionately affects our unsheltered neighbors. Because medication-assisted treatment (MAT) is effective for preventing deaths from drug overdose and retention is associated with better health outcomes, there is a clear need for more research on factors impacting retention in care. This retrospective cohort analysis examines the relationship between attendance in counseling and retention on buprenorphine for three or more months for individuals experiencing homelessness being treated at a Federally Qualified Health Center (FQHC) and Public Health Service Act §330(h) Health Care for the Homeless Program grantee in San Diego County, California. The cohort included 306 adults experiencing homelessness who had at least one prescription for buprenorphine and participated in a MAT program between 2017 and 2019. The sample included 64.4% men, almost exclusively white, and 35% lived in a place not meant for human habitation. Of the sample, 97 patients were retained at 3 months and 209 were not. Results from a logistic regression model showed that counseling appointments were positively associated with retention at three months (OR = 1.57, p < 0.001). Findings from this study inform future MAT program design components for people experiencing homelessness. Full article

On 1 December 2016, British Columbia’s (BC) provincial drug insurance program changed which medications in certain classes would benefit under the insurance program in an attempt to reduce expenditure. As part of the modernization, HMG-CoA reductase inhibitors (Statins), Angiotensin converting enzyme inhibitors (ACEI), angiotensin receptor blockers (ARB), and dihydropyridine calcium channel blockers (CCB) were affected. Prescribers and pharmacists had six months to discuss the changes with patients, and change medications if deemed necessary. Purpose: To quantify the changes made to prescriptions and to adjust to the Modernized Reference Drug Program. Methods: A retrospective chart review was conducted at two clinics in Prince George, BC. Charts for patients that were prescribed any drugs in the affected classes were reviewed to determine if, and when, they had been changed, and by which health care professional. In December 2016, a clinical pharmacist, integrated within the study clinics, informed prescribers of the changes, and made patient-specific clinical notes within the charts. The notes described the changes and recommended alternative agents and appropriate dosing in order to assist the prescriber to have a conversation with the patient regarding the switch. Results: Out of 429 unique patients, 233 patients were prescribed a Statin, 229 patients an ACEI, 110 an ARB and, 83 a CCB. Sixty-five drug changes were indicated to reflect the modernization, and with guidance from a clinical pharmacist, nurse practitioners (NPs), and family physicians (FPs), 65% of these identified drugs were switched to reflect the modernization. Community pharmacists made no drug changes in the study sample, despite the prescriptive authority and compensation available to do so. Province-wide, approximately 21% to 33% of affected drugs were switched during the same time-frame. Direct collaboration between a clinical pharmacist, working alongside NPs and FPs, was more successful in optimizing these medications when compared to standard practice, or community pharmacists alone. Full article

Objective: We aimed to describe the perceptions of health care providers concerning patient and health care provider strategies to limit out-of-pocket costs for cancer care. Methods: We conducted semi-structured interviews with 21 cancer care providers (nurses, social workers, oncologists, surgeons, pharmacists, and dieticians) in Newfoundland and Labrador. Results: Patients try to minimize costs by substituting or rationing medications, choosing radical treatments, lengthening the time between follow-up appointments, choosing inpatient care, and working during treatment to minimize loss of income. Providers respond to the financial concerns of patients by helping them to access financial assistance programs, by changing chemotherapy and supportive drug prescriptions, and by shortening radiation treatment protocols. They admit patients to hospital and arrange follow-up with physicians closer to a patient’s home. Conclusions: Out-of-pocket costs resulting from cancer care are incurred at all phases of treatment and follow-up. These costs are substantial concerns for some patients and their health care providers. Encouraging communication between patients and their providers is needed to identify individuals at risk and to safely modify care plans. Tele-oncology and public drug, medical travel, and leave programs are needed to ensure that patients are better able to afford the costs related to cancer care. Full article