scholarly journals Features predicting the success of computerized decision support for prescribing: a systematic review of randomized controlled trials

Author(s):  
Brent Mollon ◽  
Jaron JR Chong ◽  
Anne M Holbrook ◽  
Melani Sung ◽  
Lehana Thabane ◽  
...  
2019 ◽  
Author(s):  
Luís Monteiro ◽  
Tiago Maricoto ◽  
Isabel Solha ◽  
Inês Ribeiro-Vaz ◽  
Carlos Martins ◽  
...  

BACKGROUND Older adults are more vulnerable to polypharmacy and prescriptions of potentially inappropriate medications. There are several ways to address polypharmacy to prevent its occurrence. We focused on computerized decision support tools. OBJECTIVE The available literature was reviewed to understand whether computerized decision support tools reduce potentially inappropriate prescriptions or potentially inappropriate medications in older adult patients and affect health outcomes. METHODS Our systematic review was conducted by searching the literature in the MEDLINE, CENTRAL, EMBASE, and Web of Science databases for interventional studies published through February 2018 to assess the impact of computerized decision support tools on potentially inappropriate medications and potentially inappropriate prescriptions in people aged 65 years and older. RESULTS A total of 3756 articles were identified, and 16 were included. More than half (n=10) of the studies were randomized controlled trials, one was a crossover study, and five were pre-post intervention studies. A total of 266,562 participants were included; of those, 233,144 participants were included and assessed in randomized controlled trials. Intervention designs had several different features. Computerized decision support tools consistently reduced the number of potentially inappropriate prescriptions started and mean number of potentially inappropriate prescriptions per patient. Computerized decision support tools also increased potentially inappropriate prescriptions discontinuation and drug appropriateness. However, in several studies, statistical significance was not achieved. A meta-analysis was not possible due to the significant heterogeneity among the systems used and the definitions of outcomes. CONCLUSIONS Computerized decision support tools may reduce potentially inappropriate prescriptions and potentially inappropriate medications. More randomized controlled trials assessing the impact of computerized decision support tools that could be used both in primary and secondary health care are needed to evaluate the use of medication targets defined by the Beers or STOPP (Screening Tool of Older People’s Prescriptions) criteria, adverse drug reactions, quality of life measurements, patient satisfaction, and professional satisfaction with a reasonable follow-up, which could clarify the clinical usefulness of these tools. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO) CRD42017067021; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42017067021


10.2196/15385 ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. e15385 ◽  
Author(s):  
Luís Monteiro ◽  
Tiago Maricoto ◽  
Isabel Solha ◽  
Inês Ribeiro-Vaz ◽  
Carlos Martins ◽  
...  

Background Older adults are more vulnerable to polypharmacy and prescriptions of potentially inappropriate medications. There are several ways to address polypharmacy to prevent its occurrence. We focused on computerized decision support tools. Objective The available literature was reviewed to understand whether computerized decision support tools reduce potentially inappropriate prescriptions or potentially inappropriate medications in older adult patients and affect health outcomes. Methods Our systematic review was conducted by searching the literature in the MEDLINE, CENTRAL, EMBASE, and Web of Science databases for interventional studies published through February 2018 to assess the impact of computerized decision support tools on potentially inappropriate medications and potentially inappropriate prescriptions in people aged 65 years and older. Results A total of 3756 articles were identified, and 16 were included. More than half (n=10) of the studies were randomized controlled trials, one was a crossover study, and five were pre-post intervention studies. A total of 266,562 participants were included; of those, 233,144 participants were included and assessed in randomized controlled trials. Intervention designs had several different features. Computerized decision support tools consistently reduced the number of potentially inappropriate prescriptions started and mean number of potentially inappropriate prescriptions per patient. Computerized decision support tools also increased potentially inappropriate prescriptions discontinuation and drug appropriateness. However, in several studies, statistical significance was not achieved. A meta-analysis was not possible due to the significant heterogeneity among the systems used and the definitions of outcomes. Conclusions Computerized decision support tools may reduce potentially inappropriate prescriptions and potentially inappropriate medications. More randomized controlled trials assessing the impact of computerized decision support tools that could be used both in primary and secondary health care are needed to evaluate the use of medication targets defined by the Beers or STOPP (Screening Tool of Older People’s Prescriptions) criteria, adverse drug reactions, quality of life measurements, patient satisfaction, and professional satisfaction with a reasonable follow-up, which could clarify the clinical usefulness of these tools. Trial Registration International Prospective Register of Systematic Reviews (PROSPERO) CRD42017067021; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42017067021


2018 ◽  
Author(s):  
Joao Ricardo Nickenig Vissoci

BackgroundHarmful alcohol use leads to a large burden of disease and disability which disportionately impacts LMICs. The World Health Organization and the Lancet have issued calls for this burden to be addressed, but issues remain, primarily due to gaps in information. While a variety of interventions have been shown to be effective at reducing alcohol use in HICs, their efficacy in LMICs have yet to be assessed. This systematic review describes the current published literature on alcohol interventions in LMICs and conducts a meta analysis of clinical trials evaluating interventions to reduce alcohol use and harms in LMICs.MethodsIn accordance with PRISMA guidelines we searched the electronic databases Pubmed, EMBASE, Scopus,Web of Science, Cochrane, and Psych Info. Articles were eligible if they evaluated an intervention targeting alcohol-related harm in LMICs. After a reference and citation analysis, we conducted a quality assessment per PRISMA protocol. A meta-analysis was performed on the 39 randomized controlled trials that evaluated an alcohol-related outcome.ResultsOf the 3,801 articles from the literature search, 87 articles from 25 LMICs fit the eligibility and inclusion criteria. Of these studies, 39 randomized controlled trials were included in the meta-analysis. Nine of these studies focused specifically on medication, while the others focused on brief motivational intervention, brain stimulation, AUDIT-based brief interventions, WHO ASSIST-based interventions, group based education, basic screening and interventions, brief psychological or counseling, dyadic relapse prevention, group counseling, CBT, motivational + PTSD based interview, and health promotion/awareness. Conclusion Issues in determining feasible options specific to LMICs arise from unstandardized interventions, unequal geographic distribution of intervention implementation, and uncertain effectiveness over time. Current research shows that brain stimulation, psychotherapy, and brief motivational interviews have the potential to be effective in LMIC settings, but further feasibility testing and efforts to standardize results are necessary to accurately assess their effectiveness.


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