[Suitability of strontium ranelate in a health care management area after drug surveillance alerts]. / Adecuación de ranelato de estroncio tras alertas de farmacovigilancia en un área de gestión sanitaria.

OBJECTIVE: To analyse the impact of a strategy on the suitability of strontium ranelate, and its level of acceptance, after issuing recommendations based on drug surveillance alerts issued by the Spanish Medicines and Medical Devices Agency. DESIGN: A prospective interventional study conducted from April 2012 to November 2014. SETTING: South Seville Health Management Area. PARTICIPANTS: Patients currently prescribed with strontium ranelate. INTERVENTIONS: The study consisted of four phases linked to the issue of drug surveillance alerts on strontium ranelate by the Spanish Medicines and Medical Devices Agency, listed by patients and suitability recommendations. MAIN MEASUREMENTS: Suitability of strontium ranelate treatment and the level of acceptance by physicians. RESULTS: There was a reduction of 87.9% in prescriptions from the beginning of the study, with 182 patients included, until the review of the suitability of the drug began. The prescribing of strontium ranelate was unsuitable in 16 out of the 22 patients remaining; 11 of which were due not meeting the treatment criteria, 3 for not having had previous treatments with other drugs for the prevention of fractures, and 2 due to contraindications. The level of acceptance of the recommendations was 87.5%, leading to the stopping of strontium ranelate in 10 patients, and the changing to alendronate or alendronate/cholecalciferol in another four patients. CONCLUSIONS: The number of patients prescribed strontium ranelate has decreased considerably. The interventions directed at reviewing the suitability of this treatment, based on the drug surveillance alerts, have been effective.

Application of CMO (capacity, motivation, and opportunity) methodology in pharmaceutical care to optimize the pharmacotherapy in older people living with HIV. DISPIMDINAC project.

OBJECTIVE: To determine the effectiveness of a pharmaceutical intervention, based on the CMO methodology (capacity, motivation and opportunity), to decrease the prevalence of the PIMDINAC concept (potentially inappropriate medication+drug interactions+non-adherence to concomitant medication) in people living with HIV infection. METHODS: Longitudinal prospective multicenter study, conducted between October 2021 and October 2022. Patients living with HIV older than 65 years, on antiretroviral treatment and concomitant drug prescription were included. Demographic, clinical, and pharmacotherapeutic variables were collected. Pharmaceutical care was provided for6 months according to the CMO model in each patient. The main variable was the percentage of patients who simultaneously fulfilled the PIMDINAC concept, comparing the baseline value with the same value at the end of the study. In addition, the percentage of patient's adherent to concomitant and antiretroviral treatment and the percentage of patients meeting the pharmacotherapeutic targets established for the prescribed medicationat 24 weeks of follow-up were compared. RESULTS: Sixty-eight patients were included. Seventy-two percent were men, with a median age of 68 years. The median number of concomitant drugs was 7. A 60.6% of the patients had polypharmacy. The prevalence of the presence of the PIMDINAC concept decreased significantly (10.3 vs. 0%). In isolation, each of the aspects also decreased significantly (p<0.031). The percentage of patients who met the objectives improved significantly from 48,5 at baseline to 88.2 (p<0.001). CONCLUSIONS: The pharmaceutical intervention based onarmaceutical intervention based on the CMO methodology significantly decreased the prevalence of the PIMDINAC concept and increased the number of patients who achieved the objectives, optimising their pharmacotherapy.

Influence of CMO pharmaceutical care model-based intervention on readmission rate in high risk HIV patients: the INFARDAR study.

OBJECTIVE: Many studies have indicated that hospitalization and readmissions occur frequently, especially among people living with HIV. The aim of the study was to determine the effectiveness of a programmed and structured pharmaceutical intervention, based on "CMO PC model" to reduce the readmission rate in high-risk HIV patients. METHODS: This was a single-center, prospective study based on a structured health intervention conducted between March-2017 and March-2018 with 12 months of follow-up at outpatient pharmacy services. At discharge, HIV patients included were classified according to the risk of readmission as low or high risk patients, being the latter proposed to participate. The selected patients were randomly assigned to a control group (usual care) or intervention group (including stratification-motivational interview and new technologies: CMO pharmaceutical care). The primary endpoint was readmission rate at one year of follow-up in each group. RESULTS: A total of 39 patients were included. As regards the main variable, in the intervention group, 21,4% (n=3) of patients were readmitted in the first year after discharge vs. 66,7% (n=6) in the control group (p=0,042). CONCLUSIONS: Tailored pharmaceutical care based on risk stratification, motivational interviewing, and new technologies has a positive influence to reduce the percentage of readmission in high risk HIV patients.

Beliefs and attitudes about deprescription in older HIV-infected patients: ICARD Project.

OBJECTIVE: HIV population is aging at an earlier age than those uninfected, requiring more non-HIV medications to treat noncommunicable diseases. In the context of chronic HIV infection, the next therapeutic change would be the polymedication control. This paper has the purpose of explore the attitudes of older people living with HIV toward deprescribing. METHODS: This was an observational, prospective and multicenter study conducted from March-April, 2018. People living with HIV (PLWH) on highly active antiretroviral therapy and older than 65 years were included. In addition to demographic and pharmacotherapeutic data, attitudes regarding deprescribing were collected through the "Revised Patients' Attitudes Towards Deprescribing Questionnaire". RESULTS: A total of 42 patients were included in this study. Regarding their attitudes in relation to deprescription, there were three statements with the most consensuses. The first ("I have a good understanding of the reasons I was prescribed each of my medicines") had 91.9% consensus. The second and third questions showed 89.2% consensus in both cases; "Overall, I am satisfied with my current medicines" and "I like to be involved in making decisions about my medicines with my doctors". CONCLUSIONS: This study is the first to explore the beliefs and attitudes of older PLWH in relation to deprescription process. There are positive attitudes regarding medication knowledge but there also is a percentage of patients who had a negative opinion regarding deprescription. We must study and go deeper in our knowledge of techniques that could help us to better understand their preferences, in order to establish effective and successful deprescription strategies.

Influence of pharmacist intervention, based on CMO model, to improve activation in HIV patients.

OBJECTIVE: The aim of study was to evaluate the influence of pharmacist intervention based on "CMO model", to improve activation in HIV-patients. METHODS: Longitudinal, prospective, single-center study. Eligible patients were HIV-infected, taking antiretroviral treatment. The collected data included demographic characteristics, clinical and HIV-related and pharmacotherapeutic variables. The primary outcome was the variation of patient activation measured by Spanish adapted patient activation measure questionnaire. This questionnaire assesses people's knowledge, skills and confidence in managing their own health care. The assessment was performed at the beginning and 6 months after the program start, which consisted of individualized interventions planned in the stratification model, a motivational interview and a specific pharmacotherapeutic follow-up. RESULTS: A total of 140 patients were included. The most common regimens prescribed were based on non-nucleoside plus nucleoside reverse transcriptase inhibitor (44.0%) and more than half of the patients had chronic concomitant medication. The patients who achieved the highest activation level increased from 28.1% to 68.3% (p<0.0005). The relationship between this increase in patient activation and the stratification level that occurs in largest increases in patients with a low need level, where it was observed an improvement in the percentage of patients with high activation from 28.3% to 74.3% (p<0.001) after intervention. The percentage of patients with adequate adherence to concomitant treatment increased by 18.4% (p = 0.035). Baseline PAM values showed high activation for 28.6% (40 patients), intermediate for 43.6% (61) and low for 27.9% (39). CONCLUSIONS: CMO model has an important role for patient activation, improving adherence and health outcomes for HIV+ patients.

Determination of a cutoff value for medication regimen complexity index to predict polypharmacy in HIV+ older patient.

OBJECTIVE: HIV+ patients have increased their life expectancy with a parallel increase in age-associated co-morbidities and pharmacotherapeutic complexity. The aim of this study was to determine an optimal cutoff value for Medication regimen complexity index (MRCI) to predict polypharmacy in HIV+ older patients. METHODS: A transversal observational single cohort study was conducted at a tertiary Hospital in Spain, between January 1st up to December 31st, 2014. Patients included were HIV patients over 50 years of age on active antiretroviral treatment. Prevalence of polypharmacy and it pattern were analyzed. The pharmacotherapy complexity value was calculated through the MRCI. Receiver operating characteristic curve analyses were used to calculate the area under the curve (AUC) for the MRCI value medications to determine the best cutoff value for identifying outcomes including polypharmacy. Sensitivity and specificity were also calculated. RESULTS: A total of 223 patients were included. A 56.1% of patients had polypharmacy, being extreme polypharmacy in 9.4% of cases. Regarding the pattern of polypharmacy, 78.0% had a cardio-metabolic pattern, 12.0% depressive-psychogeriatric, 8.0% mixed and 2.0% mechanical-thyroidal. The ROC curve demonstrated that a value of medication complexity index of 11.25 point was the best cutoff for predict polypharmacy (AUC=0.931; sensitivity= 77.6%; specificity=91.8%). CONCLUSIONS: A cut-off value of 11.25 for MRCI is proposed to determine if a patient reaches the criterion of polypharmacy. In conclusion, the concept of polypharmacy should include not only the number of prescribed drugs but also the complexity of them.