scholarly journals Potentially Inappropriate Prescribing Among Older Persons: A Meta-Analysis of Observational Studies

2019 ◽  
Vol 17 (3) ◽  
pp. 257-266 ◽  
Author(s):  
Tau Ming Liew ◽  
Cia Sin Lee ◽  
Kuan Liang Goh Shawn ◽  
Zi Ying Chang
2020 ◽  
Vol 49 (4) ◽  
pp. 570-579 ◽  
Author(s):  
Tau Ming Liew ◽  
Cia Sin Lee ◽  
Shawn Kuan Liang Goh ◽  
Zi Ying Chang

Abstract Background Potentially inappropriate prescribing (PIP) may not have received as much attention in primary care settings (compared to tertiary hospital and nursing home settings), due to uncertainty about its prevalence in this healthcare setting. We conducted a systematic review with meta-analysis to summarise the prevalence of PIP specific to primary care settings and computed the population attributable risk (PAR) to estimate the impact of PIP in primary care. Method We searched PubMed, Embase, CINAHL, Web of Science, Scopus, PsycINFO and previous review articles for studies related to ‘older persons’, ‘primary care’ and ‘inappropriate prescribing’. Two reviewers selected eligible articles, extracted data and evaluated risk of bias. Multilevel meta-analysis was conducted to pool the prevalence estimates across the included studies, while meta-regression was conducted to investigate the sources of heterogeneity. Results Of the 4,259 articles identified, we included 67 articles with 111 prevalence estimates and a total of 5,054,975 participants. Overall, PIP had a pooled prevalence of 33.3% (95% CI 29.7–37.0%). Based on population attributable risks, PIP explained 7.7–17.3% of adverse outcomes related to older persons in primary care. If current PIP prevalence is halved, 37–79 cases of adverse outcomes may potentially be prevented (per 1,000 adverse outcomes). Conclusions The findings demonstrate the relevance and potential impact of PIP specific to primary care settings. Given the increasingly central role that primary care plays in coordinating healthcare, the findings highlight the need to prioritise PIP intervention in primary care as a key strategy to reduce iatrogenic medication-related harm among older persons in current healthcare system.


2020 ◽  
Vol 90 (5-6) ◽  
pp. 535-552 ◽  
Author(s):  
Mahdieh Abbasalizad Farhangi ◽  
Mahdi Vajdi

Abstract. Backgrounds: Central obesity, as a pivotal component of metabolic syndrome is associated with numerous co-morbidities. Dietary factors influence central obesity by increased inflammatory status. However, recent studies didn’t evaluate the association between central obesity and dietary inflammation index (DII®) that give score to dietary factors according to their inflammatory potential. In the current systematic review and meta-analysis, we summarized the studies that investigated the association between DII® with central obesity indices in the general populations. Methods: In a systematic search from PubMed, SCOPUS, Web of Sciences and Cochrane electronic databases, we collected relevant studies written in English and published until 30 October 2019. The population of included studies were apparently healthy subjects or individuals with obesity or obesity-related diseases. Observational studies that evaluated the association between DII® and indices of central obesity including WC or WHR were included. Results: Totally thirty-two studies were included; thirty studies were cross-sectional and two were cohort studies with 103071 participants. Meta-analysis of observational studies showed that higher DII® scores were associated with 1.81 cm increase in WC (Pooled weighted mean difference (WMD) = 1.813; CI: 0.785–2.841; p = 0.001). Also, a non-significant increase in the odds of having higher WC (OR = 1.162; CI: 0.95–1.43; p = 0.154) in the highest DII category was also observed. In subgroup analysis, the continent, dietary assessment tool and gender were the heterogeneity sources. Conclusion: The findings proposed that adherence to diets with high DII® scores was associated with increased WC. Further studies with interventional designs are necessary to elucidate the causality inference between DII® and central obesity indices.


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