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1.
Farm Hosp ; 2024 Jun 19.
Article in English, Spanish | MEDLINE | ID: mdl-38902115

ABSTRACT

OBJECTIVE: To determine the degree of agreement of two differents stratification models for pharmaceutical care to people living with HIV. METHODS: This was a single-centre observational prospective cohort study of patients with regular follow-up in pharmaceutical care consultations according to the Capacity-Motivation-Opportunity methodology, conducted between January 1st and March 31th, 2023. Patients received the pharmacotherapeutic interventions applied routinely to ambulatory care patients according to this model. As part of the usual clinical practice, the presence or absence of the variables that apply to both stratification models were collected. The scores obtained and the corresponding stratification level were collected for each patient according to both stratification models published (ST-2017 and ST-2022). To analyze the reliability between the measurements of two numerical score models of the stratification level with both tools, their degree of concordance was calculated using the intraclass correlation coefficient. Likewise, reliability was also evaluated from a qualitative perspective by means of Cohen's Kappa coefficient. Additionally, the existence of correlation between the scores of the two models was assessed by calculating Pearson's correlation coefficient. RESULTS: Of the total of 758 patients being followed in the cohort, finally, 233 patients were enrolled. The distribution of patients for each stratification model was: ST-2017: 59.7% level-3, 25.3% level-2 and 15.0% level-1, while for ST-2022: 60.9% level-3, 26.6% level-2 and 12.4% level-1. It was observed that the reclassification was symmetrical (p=0.317). The qualitative analysis of the agreement between the models showed a good Cohen's kappa value, (K=0.66). A value of 0.563 was found as the intraclass correlation coefficient. Finally, the correlation analysis between the quantitative scores of the two models yielded a Pearson correlation coefficient of 0.86. CONCLUSIONS: The concordance between the two models was good, which confirms that the multidimensional adaptation and simplification of the model were correct and that its use can be extended in routine clinical practice.

2.
Farm Hosp ; 2024 Mar 05.
Article in English, Spanish | MEDLINE | ID: mdl-38448361

ABSTRACT

OBJECTIVE: To determine the degree of agreement of 2 differents stratification models for pharmaceutical care to people living with HIV. METHODS: This was a single-center observational prospective cohort study of patients with regular follow-up in pharmaceutical care consultations according to the Capacity-Motivation-Opportunity methodology, conducted between January 1 and March 31, 2023. Patients received the pharmacotherapeutic interventions applied routinely to ambulatory care patients according to this model. As part of the usual clinical practice, the presence or absence of the variables that apply to both stratification models were collected. The scores obtained and the corresponding stratification level were collected for each patient according to both stratification models published (ST-2017 and ST-2022). To analyze the reliability between the measurements of 2 numerical score models of the stratification level with both tools, their degree of concordance was calculated using the intraclass correlation coefficient. Likewise, reliability was also evaluated from a qualitative perspective by means of Cohen's Kappa coefficient. Additionally, the existence of correlation between the scores of the 2 models was assessed by calculating Pearson's correlation coefficient. RESULTS: Of the total of 758 patients being followed in the cohort, finally, 233 patients were enrolled. The distribution of patients for each stratification model was: ST-2017: 59.7% level-3, 25.3% level-2, and 15.0% level-1, while for ST-2022: 60.9% level-3, 26.6% level-2, and 12.4% level-1. It was observed that the reclassification was symmetrical (P=.317). The qualitative analysis of the agreement between the models showed a good Cohen's kappa value, (K=0.66). A value of 0.563 was found as the intraclass correlation coefficient. Finally, the correlation analysis between the quantitative scores of the 2 models yielded a Pearson correlation coefficient of 0.86. CONCLUSIONS: The concordance between the 2 models was good, which confirms that the multidimensional adaptation and simplification of the model were correct and that its use can be extended in routine clinical practice.

3.
Rev. esp. quimioter ; 32(5): 458-464, oct. 2019. tab, graf
Article in English | IBECS | ID: ibc-188713

ABSTRACT

INTRODUCTION: 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. PATIENTS AND 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


INTRODUCCIÓN: La esperanza de vida de los pacientes VIH+ se ha incrementado. De forma paralela han aumentado las comorbilidades asociadas a la edad y la complejidad farmacoterapéutica. El objetivo del estudio es estimar el valor umbral del índice de complejidad de la farmacoterapia (MRCI) para la determinación del criterio de polifarmacia en pacientes VIH+ mayores de 50 años. MÉTODOS: Estudio observacional, trasversal, unicéntrico. Se incluyeron todos los pacientes VIH+ mayores de 50 años, en tratamiento antirretroviral activo entre el 1 enero y 31 diciembre-2015. Se determinó la presencia de polifarmacia y los patrones asociados. La complejidad del tratamiento se calculó con la herramienta MRCI (Universidad de Colorado). Se analizó el índice de complejidad total como marcador cuantitativo de polifarmacia mediante la realización de una curva ROC y el cálculo de su área bajo la curva. Se calculó la sensibilidad y la especificidad de la misma. RESULTADOS: Se incluyeron 223 pacientes. El 56,1% presentó polifarmacia, siendo extrema en el 9,4% de los casos. En relación con el patrón de polifarmacia, el 78,0% presentaron un patrón cardio-metabólico, el 12,0% psico geriátrico-depresivo, el 8,0% mixto y el 2,0% mecánico tiroideo . Se determinó un valor de área bajo la curva ROC de 0,931 con límites entre (0,901-0,962) y p< 0,001. El valor 11,25 de índice de complejidad total de la farmacoterapia proporcionó un valor de especificidad del 92% y una sensibilidad del 78%. CONCLUSIÓN: El valor de 11,25 de índice de complejidad es un buen indicador para conocer los pacientes con polifarmacia. El concepto de polifarmacia no solo debe incluir el número de fármacos que toma el paciente sino incluir también la complejidad del tratamiento


Subject(s)
Humans , Male , Female , Middle Aged , Anti-Retroviral Agents/therapeutic use , HIV Infections/drug therapy , Sensitivity and Specificity , Cross-Sectional Studies , Age Factors , Polypharmacy , ROC Curve
4.
Ann Pharmacother ; 52(9): 862-867, 2018 09.
Article in English | MEDLINE | ID: mdl-29592537

ABSTRACT

BACKGROUND: Multiple studies have identified a relationship between the complexity of a medication regimen and non-adherence. However, most studies in people who live with HIV (PLWH) have focused on antiretroviral use and have failed to consider the impact of other medications. OBJECTIVE: The aim of our study is to identify the Medication Regimen Complexity Index (MRCI) as an associated factor for nonadherence to antiretroviral treatment (ART). The secondary aim is to analyze the relationship between clinical and pharmacotherapeutical variables and adherence to antiretroviral treatment and to generate an adherence model. METHODS: A transversal, observational study. Patients included were PLWH over 18 years of age on active antiretroviral therapy. Patients who participated in clinical trials or who did not meet the inclusion criteria were excluded. We had studied HIV transmission mode, viral load, treatment status, number of comorbidities and complexity index as factors associated with adherence to ART. RESULTS: We included 619 patients in the study. Number of comorbidities ( p = 0.021; OR = 1.038-1.570); viral load ( p = 0.023; OR = 1.108-4.505) and MRCI ( p < 0.001; OR = 1.138-1.262) (ART and concomitant treatment) were the independent associated factors to ART nonadherence. The value of the Hosmer and Lemeshow test confirmed the validity of this model (P = 0.333). CONCLUSION: A higher MRCI was associated with non-adherence. Therefore, the regimen complexity calculation may be appropriate in daily practice for identifying patients at a higher risk of becoming non-adherent.


Subject(s)
Anti-HIV Agents/therapeutic use , HIV Infections/drug therapy , Medication Adherence , Adult , Comorbidity , Drug Therapy, Combination , Female , HIV , HIV Infections/transmission , HIV Infections/virology , Humans , Male , Middle Aged , Viral Load
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