Prevalence and factors associated with polypharmacy in the older people: 2006–2014

Carmona‐Torres, Juan Manuel; Cobo-Cuenca, Ana Isabel; Recio-Andrade, Beatriz; Laredo-Aguilera, José Alberto; Martins, Manuela; Rodríguez‐Borrego, María Aurora

doi:10.1111/jocn.14371

Cited by 53 publications

(55 citation statements)

References 35 publications

(51 reference statements)

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“…In the present study, the worsening of clinical status may have led to an increase in the number of drugs and consequently, the frequency of ADEs, as previously demonstrated 14 . However, although some studies have demonstrated that older patients are at a higher risk of developing ADEs, such finding was not confirmed herein.…”

Section: (5%)supporting

confidence: 77%

Adverse drug events and the associated factors in patients with chronic Chagas disease

Lopes

Pereira

Andrade

et al. 2020

Rev. Soc. Bras. Med. Trop.

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Introduction: Herein, we aimed to identify the factors associated with adverse drug events (ADEs) in chronic Chagas disease (CD) patients. Methods: We analyzed 320 medical notes from 295 patients. The Naranjo algorithm was applied to determine the cause of ADEs. Mixed effects logistic regression was performed to evaluate the factors associated with ADEs. Results: ADEs were described in 102 medical notes (31.9%). Captopril was most frequently associated with ADEs. Age (RR 0.96; 95%CI 0.94-0.99) and cardiac C/D stages (RR 3.24; 95%CI 1.30-4.58) were the most important clinical factors associated with ADEs. Conclusions: Close follow-up is warranted for CD patients.

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Section: (5%)supporting

confidence: 77%

Adverse drug events and the associated factors in patients with chronic Chagas disease

Lopes

Pereira

Andrade

et al. 2020

Rev. Soc. Bras. Med. Trop.

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“…is study was conducted among 370 people aged 60 and over living in community dwellings of Lomé. e main reported previous studies [30,31]. Other factors such as the number of health care visits, higher body mass index, tobacco use, low income, lack of education, and self-medication have been reported in the literature as factors associated with polypharmacy [24,29,30].…”

Section: Discussionmentioning

confidence: 88%

Medication Consumption Patterns and Polypharmacy among Community-Dwelling Elderly in Lomé (Togo) in 2017

Gbeasor-Komlanvi

Zida-Compaore

Dare

et al. 2020

Current Gerontology and Geriatrics Research

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Background. In the sub-Saharan African, region of the world with a fast growing aging population and where the use of herbal products is very common, there is a paucity of data on medication consumption patterns among elderly people. The objective of this study was to assess the prevalence of polypharmacy and its associated factors among community-dwelling elderly in Lomé, Togo, in 2017. Methods. A cross-sectional study was conducted from March to June 2017 in Lomé, Togo among people aged 60 years and older. The Respondent Driven Sampling method was used to recruit participants. Data on socio-demographic characteristics and medication consumption patterns, including the use of medicinal plants and dietary supplements, were collected using a standardized questionnaire during a face-to-face interview at participants’ home. Descriptive and binary logistic regression analyses were performed. Results. A total of 370 participants with median age 65 years, (IQR: 62–71) were enrolled in the study. Almost three elderly in five (57.6%) were multimorbid (had two or more chronic diseases). Conventional drugs (78.4%), medicinal plants (14.3%) and other dietary supplements (9.5%) were used by participants. The prevalence of polypharmacy was 22.7% (95% CI: 18.5–27.3%). Concurrent use of conventional drugs and medicinal plants or other dietary supplements was observed among 17.0% of participants and 67.3% reported self-medication. Multimorbidity (aOR = 4.55; 95% CI: [2.42–8.54]) and female sex (aOR = 1.86; 95% CI: [1.00–3.47]) were associated with polypharmacy. Conclusion. One elderly in five uses five or more medications in Togo. Further studies are needed to assess drug-drug interactions and herb-drug interactions among this population.

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“…A previous study conducted in Malaysia also showed that men were included in the significant risk factors [7], which is consistent with our findings. However, some studies reported that women were more likely to have polypharmacy [10,18]. The association between sex and polypharmacy remains controversial.…”

Section: Discussionmentioning

confidence: 99%

Number of consulting medical institutions and risk of polypharmacy in community-dwelling older people under a healthcare system with free access: a cross-sectional study in Japan

Suzuki

Iwagami

Hamada

et al. 2020

BMC Health Serv Res

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Background: Under the Japanese free access healthcare system, patients are allowed to consult multiple medical institutions (including clinics and hospitals for general or specialist consultation) without primary care referral. This potentially increases the risk of polypharmacy. We examined the association between the number of consulting medical institutions and polypharmacy under a healthcare system with free access. Methods: Via a self-administered questionnaire, we identified people aged ≥65 years with ≥1 disease and ≥1 consulting medical institution in a Japanese city in 2016. The exposure of interest was the number of consulting medical institutions (1, 2, or ≥3) and the outcome was polypharmacy (use of ≥6 types of drugs). We performed a multivariate logistic regression analysis, adjusting for age, sex, household economy, and the number and type of comorbidities. To minimize confounding effects, we also performed propensity-score-matched analysis, categorizing patients into two groups: 1 and ≥2 consulting medical institutions. Results: Of 993 eligible individuals (mean (standard deviation) age: 75.1 (6.5) years, men: 52.6%), 15.7% (156/993) showed polypharmacy. Proportions of polypharmacy were 9.7% (50/516), 16.6% (55/332), and 35.2% (51/145) for people who consulted 1, 2, and ≥3 medical institutions, respectively. Relative to people who consulted 1 medical institution, adjusted odds ratios (95% confidence intervals) for polypharmacy were 1.50 (0.94-2.37) and 3.34 (1.98-5.65) for those who consulted 2 and ≥3 medical institutions, respectively. In propensity score matching, of 516 and 477 patients who consulted 1 and ≥2 medical institutions, 307 pairs were generated. The proportion of polypharmacy was 10.8% (33/307) and 17.3% (53/307), respectively (P = 0.020). The odds ratio for polypharmacy (≥2 vs. 1 consulting medical institution) was 1.73 (95% confidence interval 1.09-2.76).

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Prevalence and factors associated with polypharmacy in the older people: 2006–2014

Cited by 53 publications

References 35 publications

Adverse drug events and the associated factors in patients with chronic Chagas disease

Adverse drug events and the associated factors in patients with chronic Chagas disease

Medication Consumption Patterns and Polypharmacy among Community-Dwelling Elderly in Lomé (Togo) in 2017

Number of consulting medical institutions and risk of polypharmacy in community-dwelling older people under a healthcare system with free access: a cross-sectional study in Japan

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