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Analysis of The Relationship Between Polypharmacy and Potentially Inappropriate Medications (PIMs) Based on The 2023 Beers Criteria in Geriatric Diabetes Mellitus Patients Oktavian Asyon Herlambang; Aprilia Puteri Santika; Septian Maulid Wicahyo
Duta Pharma Journal Vol. 6 No. 1 (2026): Duta Pharma Journal
Publisher : Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/pqjb4t96

Abstract

Background: Diabetes mellitus can cause various complications if it is not controlled, resulting in the risk of increasing the number drugs prescribed. The number of medications is one factor that can describe the incidence of Potentially Inappropriate Medications (PIMs). Objectives: This Research is to determine the percentage of PIMs based on the Beers Criteria 2023 and to determine the relationship between the number of drug prescriptions and the incidence of PIMs. Methods: used is descriptive observational. A sample of 120 recipes was carried out using purposive sampling which met the inclusion criteria. Data analysis using the chi square test and correlative contingency coefficient test. Results: the research showed that the demographic characteristics of geriatric diabetes mellitus patients at RSU Asy Syifa' Sambi Boyolali for the period January-March 2025 were dominated by female patients of 76 patients (63.33%), the majority aged 60-69 years, namely 83 patients (69.17%), the number of drugs ? 5 namely of  78 patients (65%), and 114 patients (95%) had comorbidities.There is a percentage of PIMs in the amount of 32.24% of the total drug items, the highest number of PIMs is category 2, namely 32.49%. Based on the results of statistical tests, it shows a p-value of 0.217 (p > 0.05), which means there is no statistically significant relationship between the amount of medication and the incidence of PIMs. Apart from that, the correlation coefficient value for the two variables is 0.112, indicating that the level of strength of the relationship is in the very weak category. Conclusion: An increasing the number of prescribed medications is not the only factor contributing to PIMs. The association between polypharmacy and PIM was not statistically significant (p=0.217) and showed a very weak value. These findings emphasize that in geriatric diabetes care, quality prescribing, appropriate management of complex comorbidities, and regular clinical monitoring effectively reduce the risk of polypharmacy. Therefore, evaluating the appropriateness of therapy is far more important than simply limiting the number of medications.
Analysis Of The Relationship Between Compliance With Antihypertensive Drug Use And The Therapy Output Of Hypertension Patients At The Sangkrah Community Health Center In Surakarta Rosmala Dewi; Vivin Marwiyati Rohmana; Aprilia puteri Santika
International Journal of Health Engineering and Technology Vol. 4 No. 6 (2026): IJHET MARCH 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i6.628

Abstract

Hypertension is a chronic disease with a high prevalence and remains a major public health problem that requires long-term therapy and optimal blood pressure control to prevent complications. Treatment success is influenced by various factors, including adherence to antihypertensive medication. Poor adherence may result in uncontrolled blood pressure and reduced therapeutic outcomes. This study aimed to analyze the relationship between adherence to antihypertensive medication use and therapeutic outcomes among hypertensive Patients at Sangkrah Primary Health Center, Surakarta. This study employed an observational analytic design with a cross-sectional approach. The study population consisted of hypertensive patients who met the inclusion criteria. Medication adherence was measured using the Morisky Medication Adherence Scale (MMAS-8), while therapeutic outcomes were assessed based on blood pressure records documented in patients' medical files. Data were analyzed using univariate analysis to describe respondent characteristics and bivariate analysis using the chi-square test to examine the association between medication adherence and therapeutic outcomes. The results showed that most respondents were classified as adherent, with 90 respondents (90.0%), while 10 respondents (10.0%) were non-adherent. Regarding therapeutic outcomes, 74 respondents (74.0%) had uncontrolled blood pressure and 26 respondents (26.0%) had controlled blood pressure. Chi-square analysis showed a Pearson Chi-Square value of 0.208 (p > 0.05), indicating no statistically significant relationship between medication adherence and therapeutic outcomes. In conclusion, adherence to antihypertensive medication was not significantly associated with blood pressure control. These findings indicate that blood pressure management is influenced not only by medication adherence but also by factors, comorbidities, and nonpharmacological interventions.