Impact of an electronic medical record-based clinical decision support tool for dysphagia screening on care quality

The Impact of Electronic Health Records and Meaningful Use on Inpatient Quality

ABSTRACT

It is unclear if national investments of the HITECH Act have resulted in significant improvements in care processes and outcomes by making "Meaningful Use (MU)" of Electronic Health Record (EHR) systems. The objective of this study is to determine the impact of EHRs and MU on inpatient quality. We used inpatient hospitalization data, American Hospital Association annual survey, and the Centers for Medicare and Medicaid Services attestation records to study the impact of EHRs on inpatient quality composite scores. Agency for Healthcare Research and Quality Inpatient Quality Indicator (IQI) software version 5.0 was used to compute the hospital-level risk-adjusted standardized rates for IQI indicators and composite scores. After adjusting for confounding factors, EHRs that attested to MU had a positive impact on IQI 90 and IQI 91 composite scores with an 8% decrease in composites for mortality for selected procedures and 18% decrease in composites for mortality for selected conditions. Meaningful Use attestation may be an important driver related to inpatient quality. Health care leaders may need to focus on quality improvement initiatives and advanced analytics to better leverage their EHRs to improve IQI 90 composite score for mortality for selected procedures, because we observed a lesser impact on IQI 90 compared with IQI 91.

Screening Accuracy for Aspiration Using Bedside Water Swallow Tests: A Systematic Review and Meta-Analysis

BACKGROUND

Hospitalizations for aspiration pneumonia have doubled among older adults. Using a bedside water swallow test (WST) to screen for swallowing-related aspiration can be efficient and cost-effective for preventing additional comorbidities and mortality. We evaluated screening accuracy of bedside WSTs used to identify patients at risk for dysphagia-associated aspiration.

METHODS

Sixteen online databases, Google Scholar, and known content experts through May 2015 were searched. Only prospective studies with patients ≥ 18 years of age given WST screenings validated against nasoendoscopy or videofluoroscopy were included. Data extraction used dual masked extraction and quality assessment following Meta-analysis of Observational Studies in Epidemiology guidelines.

RESULTS

Airway response (eg, coughing/choking) with or without voice changes (eg, wet/gurgly voice quality) was used to identify aspiration during three different bedside WSTs. Pooled estimates for single sip volumes (1-5 mL) were 71% sensitive (95% CI, 63%-78%) and 90% specific (95% CI, 86%-93%). Consecutive sips of 90 to 100 mL trials were 91% sensitive (95% CI, 89%-93%) and 53% specific (95% CI, 51%-55%). Trials of progressively increasing volumes of water were 86% sensitive (95% CI, 76%-93%) and 65% specific (95% CI, 57%-73%). Airway response with voice change improved overall accuracy in identifying aspiration.

CONCLUSIONS

Currently used bedside WSTs offer sufficient, although not ideal, utility in screening for aspiration. Consecutive sips with large volumes in patients who did not present with overt airway responses or voice changes appropriately ruled out risk of aspiration. Small volumes with single sips appropriately ruled in aspiration when clinical signs were present. Combining these bedside approaches may offer improved screening accuracy, but further research is warranted.

Impact of the Electronic Medical Record on Mortality, Length of Stay, and Cost in the Hospital and ICU: A Systematic Review and Metaanalysis

OBJECTIVE

To evaluate effects of health information technology in the inpatient and ICU on mortality, length of stay, and cost. Methodical evaluation of the impact of health information technology on outcomes is essential for institutions to make informed decisions regarding implementation.

DATA SOURCES

EMBASE, Scopus, Medline, the Cochrane Review database, and Web of Science were searched from database inception through July 2013. Manual review of references of identified articles was also completed.

STUDY SELECTION

Selection criteria included a health information technology intervention such as computerized physician order entry, clinical decision support systems, and surveillance systems, an inpatient setting, and endpoints of mortality, length of stay, or cost. Studies were screened by three reviewers. Of the 2,803 studies screened, 45 met selection criteria (1.6%).

DATA EXTRACTION

Data were abstracted on the year, design, intervention type, system used, comparator, sample sizes, and effect on outcomes. Studies were abstracted independently by three reviewers.

DATA SYNTHESIS

There was a significant effect of surveillance systems on in-hospital mortality (odds ratio, 0.85; 95% CI, 0.76-0.94; I=59%). All other quantitative analyses of health information technology interventions effect on mortality and length of stay were not statistically significant. Cost was unable to be quantitatively evaluated. Qualitative synthesis of studies of each outcome demonstrated significant study heterogeneity and small clinical effects.

CONCLUSIONS

Electronic interventions were not shown to have a substantial effect on mortality, length of stay, or cost. This may be due to the small number of studies that were able to be aggregately analyzed due to the heterogeneity of study populations, interventions, and endpoints. Better evidence is needed to identify the most meaningful ways to implement and use health information technology and before a statement of the effect of these systems on patient outcomes can be made.

Full Implementation of Screening for Nutritional Risk and Dysphagia in an Acute Stroke Unit: A Clinical Audit

BACKGROUND AND PURPOSE

In patients with acute stroke, undernutrition and aspiration pneumonia are associated with increased mortality and length of hospital stay. Formal screening for nutritional risk and dysphagia helps to ensure optimal nutritional management in all patients with stroke and to reduce the risk of aspiration in patients with dysphagia. We developed a national guideline for nutritional and dysphagia screening in acute stroke, which was introduced in our stroke unit on June 1, 2012. The primary objective was to audit adherence to the guideline and to achieve full implementation. Second, we assessed the prevalence of nutritional risk and dysphagia.

METHODS

We performed a chart review to assess performance of screening for nutritional risk and dysphagia in all patients with stroke hospitalized for ≥48 hours between June 1, 2012, and May 31, 2013. Next we applied a "clinical microsystems approach" with rapid improvement cycles and audits over a 6-month period to achieve full implementation.

RESULTS

The chart review showed that nutritional risk screening was performed in 65% and swallow testing in 91% of eligible patients (n = 185). Proactive implementation resulted in >95% patients screened (n = 79). The overall prevalence of nutritional risk was 29%, and 23% of the patients failed the initial swallow test.

CONCLUSIONS

Proactive implementation is required to obtain high screening rates for nutritional risk and swallowing difficulties using validated screening tools. The proportion of patients at nutritional risk and the prevalence of dysphagia at initial swallow test were in the lower range of previous reports.

Clinical Decision Support-based Quality Measurement (CDS-QM) Framework: Prototype Implementation, Evaluation, and Future Directions

Electronic quality measurement (QM) and clinical decision support (CDS) are closely related but are typically implemented independently, resulting in significant duplication of effort. While it seems intuitive that technical approaches could be re-used across these two related use cases, such reuse is seldom reported in the literature, especially for standards-based approaches. Therefore, we evaluated the feasibility of using a standards-based CDS framework aligned with anticipated EHR certification criteria to implement electronic QM. The CDS-QM framework was used to automate a complex national quality measure (SCIP-VTE-2) at an academic healthcare system which had previously relied on time-consuming manual chart abstractions. Compared with 305 manually-reviewed reference cases, the recall of automated measurement was 100%. The precision was 96.3% (CI:92.6%-98.5%) for ascertaining the denominator and 96.2% (CI:92.3%-98.4%) for the numerator. We therefore validated that a standards-based CDS-QM framework can successfully enable automated QM, and we identified benefits and challenges with this approach.