Background: The complexity of a medication regimen is related to the multiple characteristics of the prescribed regimen and can negatively influence the health outcomes of patients.
Objective: To propose cut-off points in the complexity of pharmacotherapy to distinguish between patients with low and high complexities seen in a primary health care (PHC) setting to enable prioritization of patient management.
Methods: This is a cross-sectional study, which included 517 adult and elderly patients, analyzing different cut-off points to define the strata of low and high pharmacotherapy complexities based on percentiles of the population evaluated. Data collection began with the solicitation of prescriptions, followed by a questionnaire that was administered by an interviewer. The complexity of a medication regimen was estimated from the Medication Regimen Complexity Index (MRCI). High complexity pharmacotherapy scores were analyzed from patient profiles, the use of health services, and pharmacotherapy. The criteria for subject inclusion in the sample population were as follows: inhabitant of the area covered by the municipality, 18 years or older, and being prescribed at least one drug during the collection period. Exclusion criteria at the time of collection were the use of any medication whose prescription was not available. All medications were accessed through the Primary Healthcare Service (PHS).
Results: The median total pharmacotherapy complexity score was 8.5. High MRCI scores were correlated with age, medications taken with in the Brazilian PHS, having at least one potential drug-related problem, receiving up to eight years of schooling, number of medications and polypharmacy (five or more medicines), number of medical conditions, number of medical appointments, and number of cardiovascular diseases and endocrine metabolic diseases. We suggest different complexity tracks according to age (e.g., adult or elderly) that consider the pharmacotherapy and population coverage characteristics as high complexity limits. For the elderly patients, the tracks were as follows: MRCI≥25.4, MRCI≥20.9, MRCI≥17.5, MRCI≥15.7, MRCI≥14.0, and MRCI≥13.0. For adult patients, the limits of high complexity were MRCI≥25.1; MRCI ≥ 23.8; MRCI≥21.0; MRCI≥17.0; MRCI≥16.5; and MRCI≥15.5.
Conclusion: The medication regimen complexity is associated with the patient's illness profile and problems with the use of drugs; therefore, the proposed scores can be useful in prioritizing patients for clinical care by pharmacists and other health professionals.
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http://dx.doi.org/10.18549/PharmPract.2015.04.659 | DOI Listing |
JAMA Netw Open
January 2025
Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Importance: Obesity, a chronic disease with escalating global prevalence, poses considerable health risks. Glucagon-like peptide 1 receptor agonists (GLP-1RAs), including liraglutide, semaglutide, and tirzepatide, have demonstrated efficacy for weight loss in clinical trials. The paradigm shift in the approach to obesity management drugs (OMDs) may offer an opportunity to examine online search activity and prescription trends.
View Article and Find Full Text PDFSubst Use Misuse
January 2025
Tennessee Department of Health, Office of Informatics and Analytics, Nashville, TN, USA.
Background: While illicit substances are commonly involved in the overdose crisis, prescription substances still play a role. Oftentimes, decedents do not have prescriptions for these substances at the time of death. As such, we sought to examine the prevalence of nonmedical drug use in Tennessee through linkage of fatal drug overdose and prescription data.
View Article and Find Full Text PDFGlob Adv Integr Med Health
January 2025
Alameda County Health, San Leandro, CA, USA.
Background: Food as Medicine is a rapidly developing area of health care in the United States, aimed at concurrently addressing nutrition-sensitive chronic conditions and food and nutrition insecurity. Recipe4Health (R4H) is a Food as Medicine program with an integrative health equity focus. It provides prescriptions for locally grown produce ('Food Farmacy') with or without integrative group medical visits, alongside training for clinic staff.
View Article and Find Full Text PDFOpen Forum Infect Dis
January 2025
Italian College of General Practitioners and Primary Care, Florence, Italy.
Background: Risk of herpes zoster (HZ) infection increases with age and immunosuppression. We estimated the impact of HZ and post-herpetic neuralgia (PHN) on direct costs and health care resource utilization (HCRU) in patients ≥50 years, including those with comorbidities, as limited information exists in Italy.
Methods: This retrospective analysis used reimbursement data from local health authorities in Italy (January 2009-June 2022).
J Comput Graph Stat
October 2023
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA.
Mixture Markov Model (MMM) is a widely used tool to cluster sequences of events coming from a finite state-space. However, the MMM likelihood being multi-modal, the challenge remains in its maximization. Although Expectation-Maximization (EM) algorithm remains one of the most popular ways to estimate the MMM parameters, however, convergence of EM algorithm is not always guaranteed.
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