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Clinical factors associated with multimorbidity, polypharmacy and medication regimen complexity among adults with hypertension: a multicentre cross-sectional study

Por: Yazie · T. S. · Mengistu · W. E. · Yimer · Y. S. · Dagnew · S. B. · Dagnew · F. N. · Moges · T. A. · Addis · G. T. · Belete · A. M.
Objectives

Factors associated with multimorbidity, polypharmacy and Medication Regimen Complexity Index (MRCI) may vary across countries. However, such data are lacking in the present study setting. This study aimed to identify factors associated with multimorbidity, polypharmacy and MRCI among adults living with hypertension in public hospitals of South Gondar Zone.

Design

Multicentred cross-sectional design

Setting

Public hospitals of Comprehensive Specialised and Primary Hospitals, Ethiopia.

Participants

Adults living with hypertension who had follow-up visits at outpatient clinics and were selected by systematic random sampling from 1 December 2021 to 28 February 2022.

Primary and secondary outcome measures

Medication regimen complexity was assessed using a 65-item medication regimen complexity tool. Sociodemographic data were collected through an interview, while polypharmacy and clinical characteristics were documented using a checklist. Data were entered into SPSS V.26 and analysed using STATA V.17. A binary logistic regression model was used to determine the AOR of factors associated with multimorbidity and polypharmacy. For factors influencing MRCI, an ordinal logistic regression was used.

Results

We found participants from Nefas Mewucha Hospital (AOR = 0.3, 95% CI 0.15 to 0.59) and Mekane Eyesus Hospital (AOR = 0.17, 95% CI 0.07 to 0.38), compared with Debre Tabor Comprehensive Specialised Hospital, polypharmacy (AOR = 5.52, 95% CI 1.49 to 20.39), medium (AOR = 19.76, 95% CI 5.86 to 66.56) and high MRCI (AOR = 120.32, 95% CI 33.12 to 437.07) were associated with multimorbidity. Multimorbidity (AOR = 25.4, 95% CI 7.48 to 86.23), controlled blood pressure (AOR = 0.43, 95% CI 0.19 to 0.92) and duration of hypertension therapy 5 years or more (AOR = 2.12, 95% CI 1.08 to 4.16) were associated with polypharmacy. Whereas controlled BP (AOR = 0.48, 95% CI 0.32 to 0.72) and multimorbidity (AOR = 14.55, 95% CI 9.00 to 23.52) were significantly associated with high MRCI. The prevalence of multimorbidity, high MRCI and polypharmacy was found in 46.1%, 35.22% and 12.29% of participants, respectively.

Conclusion

A considerable proportion of participants with hypertension experienced multimorbidity, polypharmacy and high medication complexity. Polypharmacy, primary hospital setting and high MRCI were independent variables associated with multimorbidity. On the other hand, multimorbidity and controlled BP were associated with polypharmacy and MRCI. Hypertension care should consider multimorbidity, polypharmacy and medication complexity.

Trace metals and their human health risks in sesame seeds from the main cultivation areas of Ethiopia

by Bewketu Mehari, Tarekegn Fentie Yimer, Tihitna Beletkachew, Eyob Alem, Worku Negash, Mengistu Mulu, Dereje Yenealem, Ayalnesh Miretie

Sesame (Sesamum indicum L.) is a major oilseed crop globally, and white sesame is a key contributor to the foreign exchange earnings of Ethiopia. The main production districts of white sesame in Ethiopia are Humera, Metema, Tegedie, Mirab-Armachiho and Tachi-Armaciho. This study assessed the levels of trace metals (Fe, Cu, Zn, Mn and Ni) in white sesame seeds from these regions and evaluated the associated health risks to consumers. A total of 53 samples were collected from 19 farmer villages across the five districts. Homogenized samples from each village were analyzed using the acid digestion method followed by flame atomic absorption spectroscopy (FAAS). The limit of detection of the method ranged from 0.75 to 865 mg/kg, and the limit of quantitation ranged from 2.55 to 28.8 mg/kg for the different elements analyzed. The recovery of the method was in the range of 90.9‒99.6%. The results showed trace metal levels ranging from 164 ± 6 to 381 ± 4 mg/kg for Fe, 94.0 ± 1.9 to 126 ± 0.8 mg/kg for Zn, 11.8 ± 0.4 to 14.2 ± 0.4 mg/kg for Cu, 11.9 ± 0.9 to 15.0 ± 0.7 mg/kg for Mn and 16.2 ± 1.1 to 21.0 ± 1.2 mg/kg for Ni across the production districts. One-way ANOVA revealed significant differences (p
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