Using a mobile application to reduce potentially inappropriate prescribing for older Brazilian adults in primary care: a triple-blind randomised clinical trial.

BACKGOUND: Potentially inappropriate prescribing (PIP) has been evaluated in several countries, and several strategies have been devised for deprescribing drugs in older adults. The aim of this study was to evaluate the efficacy of a mobile application in reducing PIP for older adults in primary care facilities in Brazil. METHODS: This randomised, triple-blind, parallel-group trial was conducted in 22 public primary care facilities in Brazil. During the intervention phase, the general practitioners (GPs) were randomly allocated to the intervention (MPI Brasil app provides information about PIP, therapeutic alternatives and deprescribing) or control (MedSUS app provides general information about medications) group. All GPs were trained on the Clinical Decision-Making Process and how to access an Evidence-Based Health website. The GPs received an Android tablet with an installed mobile application depending on their allocated group, which they used when caring for older patients over at least 3 months. At the end of this period, a sample of older patients aged ≥ 60 years who had been awaiting medical consultation by the participating GPs were interviewed and their prescriptions analysed. The primary outcome was the frequency of PIP in and between the groups. RESULTS: Among 53 GPs who were administered the baseline survey, 14 were included in the clinical trial. At baseline, 146 prescriptions were analysed: the PIP overall was 37.7% (55/146), in the intervention group was 40.6% (28/69), and in the control group was 35.1% (27/77). After the intervention, 284 prescriptions were analysed: the PIP overall was 31.7% (90/284), in the intervention group was 32.2% (46/143), and in the control group was 31.2% (44/141) (RR: 1.16; 95% CI, 0.76-1.76). In the within-group analysis, the PIP reduced from before to after the intervention in both groups-more significantly in the intervention than in the control group (p < 0.001). In the stratified analysis of PIP frequency by GPs, there was a relative risk reduction in 86% (6/7) of GPs in the intervention group compared to 71% (5/7) in the control group. CONCLUSION: We found that the MPI Brasil app effectively reduced PIP, suggesting that it may be useful to incorporate this tool into clinical practice. TRIAL REGISTRATION: The study was registered at ClinicalTrials.gov (NCT02918643). First registration on 22/09/2016.

Physician and patient-related factors associated with inappropriate prescribing to older patients within primary care: a cross-sectional study in Brazil.

BACKGROUND: Physician and patient-related characteristics can influence prescription of medications to older patients within primary healthcare. Use of Brazilian criteria may indicate the real prevalence of prescription of potentially inappropriate medications to this population. OBJECTIVES: To evaluate prescription of potentially inappropriate medications to older patients within primary care and identify patient-related and prescribing physician-related factors. DESIGN AND SETTING: This cross-sectional study was conducted in 22 public primary care facilities in Brazil, among older people (≥ 60 years) who were waiting for medical consultations. METHODS: Interviews were conducted before and after the medical consultations. If the patient received a medical prescription at the consultation, all the drugs prescribed and the physician's medical council registration number were recorded. Prevalence ratios were estimated to ascertain the magnitude of prescription of potentially inappropriate medications, along with patient and physician-related factors associated with such prescription. RESULTS: In total, 417 older patients were included; 45.3% had received ≥ 1 potentially inappropriate medication, and 86.8% out of 53 physicians involved had prescribed ≥ 1 potentially inappropriate medication. The strongest patient-related factor associated with higher prevalence of prescription of potentially inappropriate medications was polypharmacy. Among physician-related factors, the number of patients attended, number of prescriptions and length of medical practice < 10 years were positively associated with prescription of potentially inappropriate medications. CONCLUSIONS: High prevalence of prescription of potentially inappropriate medications was observed. Physician-related characteristics can influence prescription of medications to older people within primary healthcare. This suggests that there is a need for interventions among all physicians, especially younger physicians.

Polypharmacy in older patients at primary care units in Brazil.

Background Despite extensive studies of polypharmacy in older patients, no consensus regarding the definition of this practice exists in the literature. Several studies have defined polypharmacy as problematic when considering only the numbers of medications used by patients. Objective This study aimed to assess the prevalence of polypharmacy prescribing by comparing two different definitions (quantitative and qualitative) and evaluating factors associated with this practice in older patients. Setting Twenty-three basic health units. Method A cross-sectional study involving 386 older adults who received a prescription after a medical consultation. Multivariate analyses were conducted using a Poisson regression with robust variance. Main outcome measure The main outcome measures included patients with a prescription of five or more medications (quantitative polypharmacy) and those with a prescription of five or more medications including at least one drug considered potentially inappropriate for older adults (qualitative polypharmacy). Results The frequency of quantitative polypharmacy was 20.5%. The results of an adjusted analysis showed that the frequency of quantitative polypharmacy was associated with a higher number of self-reported morbidities and the prescription of potentially inappropriate drugs. The prevalence of qualitative polypharmacy was 10.4%, and after adjustment, this outcome remained significantly associated with the presence of three or more self-reported morbidities. Conclusions The presence of multiple comorbidities was identified as the main factor associated with the prescription of both quantitative and qualitative polypharmacy.