Evidence map›Paper›PMID 30541459›Full record

ArticleBMC geriatrics2018

Predictors of polypharmacy among elderly Thais with depressive and anxiety disorders: findings from the DAS study.

Nahathai Wongpakaran, Tinakon Wongpakaran, Thanitha Sirirak, Rewadee Jenraumjit, Surin Jiraniramai, Peerasak Lerttrakarnnon

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Nahathai WongpakaranDepartment of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Tinakon WongpakaranDepartment of Psychiatry, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Thanitha SirirakDepartment of Family Medicine and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, 90112, Thailand.
Rewadee JenraumjitDepartment of Pharmaceutical care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, 50200, Thailand.
Surin JiraniramaiDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Peerasak LerttrakarnnonDepartment of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand. psk25531@hotmail.com.ORCID 0000-0002-1628-0639
Chiang Mai University · THPrince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolypharmacy is a geriatric syndrome defined variously as the use of potentially inappropriate drugs and/or the concurrent use of multiple medications including prescription and over-the-counter drugs. An association has been shown between polypharmacy and physical health, increased morbidity and increased mortality. However, there is little information regarding the association between polypharmacy and physical disease, personality trait and mental health problems in elderly. The aim of this study was to investigate potential predictive psychosocial factors related to polypharmacy in elderly Thai people.

methodsThe study analysed the secondary data from the Depressive Disorders, Anxiety Disorders, Suicide Risk and Associated Factors Among Elderly Thai People Program (DAS Study) which was funded by National Research Council of Thailand and conducted between January 2012 and April 2013. Demographic and baseline clinical characteristics including sex, age, education, living alone or with others, access to health care privilege and monthly income were described. The number of medication, physical diseases and mental health problems (i.e. depression, anxiety, and personality trait of neuroticism) were analyzed using descriptive statistics, chi-square and proportional odds logistic regression.

resultsThe 803 participants consumed an average of 2.13 prescribed medicines daily (SD 1.46, median = 2). The largest group used 3 medications (18.6%). Predictors found to be associated with polypharmacy in the logistic regression model included hypertension (OR = 1.985, 95% CI = 1.420-2.775), anxiety disorder (OR = 4.402, 95% CI = 2.630-7.367), number of diseases (OR = 2.140, 95% CI = 1.874-2.445), depressive disorder (OR = 1.470, 95% CI = 1.080-2.001), diabetes mellitus (OR = 1.864, 95% CI = 1.122-3.098) and dyslipidemia (OR = 0.511, 95%CI = 0.325-0.803).

conclusionsThe prevalence of polypharmacy among Thai elderly was relatively high compared to other related studies. Several aspects should be taken into consideration before starting an additional medication in elderly patients. In addition to the number of physical disease that leads to polypharmacy, general practitioners should be aware of anxiety, depression, and personality trait of neuroticism that may be related to polypharmacy. Early detection for such condition as well as non-pharmacological intervention could be one way to help reduce polypharmacy in the elderly.

Indexed as

PolypharmacyAgedAged, 80 and overAnxiety DisordersDepressive DisorderFemaleHumansIncomeMaleMiddle AgedPredictive Value of TestsPrescription DrugsPrescriptionsPrevalenceRisk FactorsThailandPrescription Drugs

Identifiers

PMID30541459
PMCPMC6292154
OpenAlexW2904971735

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.