Steven M. Handler

Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials

Objectives To identify factors that differentiate between effective and ineffective computerised clinical decision support systems in terms of improvements in the process of care or in patient outcomes. Design Meta-regression analysis of randomised controlled trials. Data sources A database of features and effects of these support systems derived from 162 randomised controlled trials identified in a recent systematic review. Trialists were contacted to confirm the accuracy of data and to help prioritise features for testing. Main outcome measures “Effective” systems were defined as those systems that improved primary (or 50% of secondary) reported outcomes of process of care or patient health. Simple and multiple logistic regression models were used to test characteristics for association with system effectiveness with several sensitivity analyses. Results Systems that presented advice in electronic charting or order entry system interfaces were less likely to be effective (odds ratio 0.37, 95% confidence interval 0.17 to 0.80). Systems more likely to succeed provided advice for patients in addition to practitioners (2.77, 1.07 to 7.17), required practitioners to supply a reason for over-riding advice (11.23, 1.98 to 63.72), or were evaluated by their developers (4.35, 1.66 to 11.44). These findings were robust across different statistical methods, in internal validation, and after adjustment for other potentially important factors. Conclusions We identified several factors that could partially explain why some systems succeed and others fail. Presenting decision support within electronic charting or order entry systems are associated with failure compared with other ways of delivering advice. Odds of success were greater for systems that required practitioners to provide reasons when over-riding advice than for systems that did not. Odds of success were also better for systems that provided advice concurrently to patients and practitioners. Finally, most systems were evaluated by their own developers and such evaluations were more likely to show benefit than those conducted by a third party.

Prevalence of unplanned hospitalizations caused by adverse drug reactions in older veterans.

To describe the prevalence of unplanned hospitalizations caused by adverse drug reactions (ADRs) in older veterans and to examine the association between this outcome and polypharmacy after controlling for comorbidities and other patient characteristics.

Medication nonadherence: A diagnosable and treatable medical condition.

Medication nonadherence is widely recognized as a common and costly problem.1 Approximately 30% to 50% of US adults are not adherent to long-term medications leading to an estimated

The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials.

100 billion in preventable costs annually.1 The barriers to medication adherence are similar to other complex health behaviors, such as weight loss, which have multiple contributing factors. Despite the widespread prevalence and cost of medication nonadherence, it is undetected and undertreated in a significant proportion of adults across care settings. According to the World Health Organization, �increasing the effectiveness of adherence interventions may have far greater impact on the health of the population than any improvement in specific medical treatments.� How can adherence be improved? We propose that the first step is to view medication nonadherence as a diagnosable and treatable medical condition.

Potential Underuse, Overuse, and Inappropriate Use of Antidepressants in Older Veteran Nursing Home Residents

OBJECTIVE The US Agency for Healthcare Research and Quality funded an evidence report to address seven questions on multiple aspects of the effectiveness of medication management information technology (MMIT) and its components (prescribing, order communication, dispensing, administering, and monitoring). MATERIALS AND METHODS Medline and 11 other databases without language or date limitations to mid-2010. Randomized controlled trials (RCTs) assessing integrated MMIT were selected by two independent reviewers. Reviewers assessed study quality and extracted data. Senior staff checked accuracy. RESULTS Most of the 87 RCTs focused on clinical decision support and computerized provider order entry systems, were performed in hospitals and clinics, included primarily physicians and sometimes nurses but not other health professionals, and studied process changes related to prescribing and monitoring medication. Processes of care improved for prescribing and monitoring mostly in hospital settings, but the few studies measuring clinical outcomes showed small or no improvements. Studies were performed most frequently in the USA (n=63), Europe (n=16), and Canada (n=6). DISCUSSION Many studies had limited description of systems, installations, institutions, and targets of the intervention. Problems with methods and analyses were also found. Few studies addressed order communication, dispensing, or administering, non-physician prescribers or pharmacists and their MMIT tools, or patients and caregivers. Other study methods are also needed to completely understand the effects of MMIT. CONCLUSIONS Almost half of MMIT interventions improved the process of care, but few studies measured clinical outcomes. This large body of literature, although instructive, is not uniformly distributed across settings, people, medication phases, or outcomes.

Consensus List of Signals to Detect Potential Adverse Drug Reactions in Nursing Homes

OBJECTIVES: To examine prevalence and resident‐ and site‐level factors associated with potential underuse, overuse, and inappropriate use of antidepressants in older Veterans Affairs (VA) Community Living Center (CLC) residents.

Antidepressant prescribing in US nursing homes between 1996 and 2006 and its relationship to staffing patterns and use of other psychotropic medications.

OBJECTIVES: To develop a consensus list of agreed‐upon laboratory, pharmacy, and Minimum Data Set signals that a computer system can use in the nursing home to detect potential adverse drug reactions (ADRs).

Use of antipsychotics among older residents in VA nursing homes

BACKGROUND Few studies have examined factors associated with antidepressant prescribing in older nursing home residents. OBJECTIVE The primary objective was to describe the change in antidepressant prescribing for nursing home residents between 1996 and 2006. An additional objective was to examine the association between any change in antidepressant prescribing and staffing patterns or coprescribing of other psychotropic medications in the same cohort. DESIGN Longitudinal. SETTINGS Settings were 12,556 US nursing homes in 1996 and 2006. DATA SOURCES Online Survey Certification and Reporting (OSCAR) data and the Area Resource File (ARF). MEASUREMENTS Increasing prescribing of antidepressants analyzed using multivariable multinomial generalized estimating equations (GEE). RESULTS Antidepressant prescribing significantly increased (P < .05) from 21.9% in 1996 to 47.5% in 2006. After controlling for resident, organizational, and market factors, increased antidepressant prescribing was associated with more time spent by physician extenders (adjusted odds ratio [AOR] 2.21; 95% confidence interval [CI] 1.96-2.51), registered nurses (AOR 1.06, 95% CI 1.02-1.10), or nurse aides (AOR 1.08; 95%CI 1.04-1.12) in a facility, as well as the coprescribing of sedative/hypnotics (AOR 1.12; 95% CI 1.08-1.16). Factors found to be protective of increasing antidepressant prescribing (ie, decrease antidepressant prescribing) included having medical directors and physicians spend more time in the facility (AOR 0.60; 95% CI 0.53-0.69 and AOR 0.62; 95% CI 0.54-0.71, respectively), or coprescribing of antianxiety or antipsychotic agents (AOR 0.70; 95% CI 0.68-0.72 and AOR 0.74; 95% CI 0.72-0.77, respectively). CONCLUSIONS Prescribing of antidepressants has increased dramatically in the past decade in older nursing home residents and seems to be associated with certain staffing characteristics and the coprescribing of psychotropic medications. Further research is needed to determine if antidepressants are appropriately prescribed, and if overuse is determined, develop interventions to improve the quality of prescribing of these medications in older nursing home residents.

AKI in Low-Risk versus High-Risk Patients in Intensive Care

Background:Antipsychotic medications are commonly prescribed to nursing home residents despite their well-established adverse event profiles. Because little is known about their use in Veterans Affairs (VA) nursing homes [ie, Community Living Centers (CLCs)], we assessed the prevalence and risk factors for antipsychotic use in older residents of VA CLCs. Methods:This cross-sectional study included 3692 Veterans age 65 or older who were admitted between January 2004 and June 2005 to one of 133 VA CLCs and had a stay of ≥90 days. We used VA Pharmacy Benefits Management data to examine antipsychotic use and VA Medical SAS datasets and the Minimum Data Set to identify evidence-based indications for antipsychotic use (eg, schizophrenia, dementia with psychosis). We used multivariable logistic regression and generalized estimating equations to identify factors independently associated with antipsychotic receipt. Results:Overall, 948/3692(25.7%) residents received an antipsychotic, of which 59.3% had an evidence-based indication for use. Residents with aggressive behavior [odds ratio (OR)=2.74, 95% confidence interval (CI), 2.04–3.67] and polypharmacy (9+ drugs; OR=1.84, 95% CI, 1.41–2.40) were more likely to receive antipsychotics, as were users of antidepressants (OR=1.37, 95% CI, 1.14–1.66), anxiolytic/hypnotics (OR=2.30, 95% CI, 1.64–3.23), or drugs for dementia (OR=1.52, 95% CI, 1.21–1.92). Those residing in Alzheimer/dementia special care units were also more likely to receive an antipsychotic (OR=1.66, 95% CI, 1.26–2.21). Veterans with dementia but no documented psychosis were as likely as those with an evidence-based indication to receive an antipsychotic (OR=1.10, 95% CI, 0.82–1.47). Conclusions:Antipsychotic use is common among VA nursing home residents aged 65 and older, including those without a documented evidence-based indication for use. Further quality improvement efforts are needed to reduce potentially inappropriate antipsychotic prescribing.

A review of the effectiveness of antidepressant medications for depressed nursing home residents

BACKGROUND AND OBJECTIVES AKI in critically ill patients is usually part of multiorgan failure. However, nonrenal organ failure may not always precede AKI and patients without evidence of these organ failures may not be at low risk for AKI. This study examined the risk and outcomes associated with AKI in critically ill patients with and without cardiovascular or respiratory organ failures at presentation to the intensive care unit (ICU). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS A large, academic medical center database, with records from July 2000 through October 2008, was used and the authors identified a low-risk cohort as patients without cardiovascular and respiratory organ failures defined as not receiving vasopressor support or mechanical ventilation within the first 24 hours of ICU admission. AKI was defined using Kidney Disease Improving Global Outcomes criteria. The primary end points were moderate to severe AKI (stages 2-3) and risk-adjusted hospital mortality. RESULTS Of 40,152 critically ill patients, 44.9% received neither vasopressors nor mechanical ventilation on ICU day 1. Stages 2-3 AKI occurred less frequently in the low-risk patients versus high-risk patients within 24 hours (14.3% versus 29.1%) and within 1 week (25.7% versus 51.7%) of ICU admission. Patients developing AKI in both risk groups had higher risk of death before hospital discharge. However, the adjusted odds of hospital mortality were greater (odds ratio, 2.99; 95% confidence interval, 2.62 to 3.41) when AKI occurred in low-risk patients compared with those with respiratory or cardiovascular failures (odds ratio, 1.19; 95% confidence interval, 1.09 to 1.3); interaction P<0.001. CONCLUSIONS Patients admitted to ICU without respiratory or cardiovascular failure have a substantial likelihood of developing AKI. Although survival for low-risk patients is better than for high-risk patients, the relative increase in mortality associated with AKI is actually greater for low-risk patients. Strategies aimed at preventing AKI should not exclude ICU patients without cardiovascular or respiratory organ failures.