Mikhail A. Dziadzko

An appraisal of published usability evaluations of electronic health records via systematic review.

Objective: In this systematic review, we aimed to evaluate methodological and reporting trends present in the current literature by investigating published usability studies of electronic health records (EHRs). Methods: A literature search was conducted for articles published through January 2015 using MEDLINE (Ovid), EMBASE, Scopus, and Web of Science, supplemented by citation and reference list reviews. Studies were included if they tested the usability of hospital and clinic EHR systems in the inpatient, outpatient, emergency department, or operating room setting. Results: A total of 4848 references were identified for title and abstract screening. Full text screening was performed for 197 articles, with 120 meeting the criteria for study inclusion. Conclusion: A review of the literature demonstrates a paucity of quality published studies describing scientifically valid and reproducible usability evaluations at various stages of EHR system development. A lack of formal and standardized reporting of EHR usability evaluation results is a major contributor to this knowledge gap, and efforts to improve this deficiency will be one step of moving the field of usability engineering forward.

Potentially Modifiable Risk Factors for Long-Term Cognitive Impairment After Critical Illness: A Systematic Review

&NA; Long‐term cognitive impairment is common in survivors of critical illness. Little is known about the etiology of this serious complication. We sought to summarize current scientific knowledge about potentially modifiable risk factors during intensive care unit (ICU) treatment that may play a substantial role in the development of long‐term cognitive impairment. All searches were run on October 1, 2017. The search strategy included Ovid MEDLINE, Ovid Embase, Ovid CDR, Cochrane Central Register of Controlled Trials and Database of Abstracts of Reviews of Effect, Scopus, and Web of Science, and included MeSH headings and keywords related to intensive care, critical care, and cognitive disorders. Searches were restricted to adult subjects. Inclusion required follow‐up cognitive evaluation at least 2 months after ICU discharge. Studies assessing patients with cardiac arrest, traumatic brain injury, and cardiac surgery history were excluded. The search strategy resulted in 3180 studies. Of these, 28 studies (.88%) met our inclusion criteria and were analyzed. Delirium and duration of delirium were associated with long‐term cognitive impairment after ICU admission in 6 of 9 studies in which this factor was analyzed. Weaker and more inconsistent associations have been reported with hypoglycemia, hyperglycemia, fluctuations in serum glucose levels, and in‐hospital acute stress symptoms. Instead, most of the studies did not find significant associations between long‐term cognitive impairment and mechanical ventilation; use of sedatives, vasopressors, or analgesic medications; enteral feeding; hypoxia; extracorporeal membrane oxygenation; systolic blood pressure; pulse rate; or length of ICU stay. Prolonged delirium may be a risk factor for long‐term cognitive impairment after critical illness, though this association has not been entirely consistent across studies. Other potentially preventable factors have not been shown to have strong or consistent associations with long‐term cognitive dysfunction in survivors of critical illness.

Automatic quality improvement reports in the intensive care unit: One step closer toward meaningful use

AIM To examine the feasibility and validity of electronic generation of quality metrics in the intensive care unit (ICU). METHODS This minimal risk observational study was performed at an academic tertiary hospital. The Critical Care Independent Multidisciplinary Program at Mayo Clinic identified and defined 11 key quality metrics. These metrics were automatically calculated using ICU DataMart, a near-real time copy of all ICU electronic medical record (EMR) data. The automatic report was compared with data from a comprehensive EMR review by a trained investigator. Data was collected for 93 randomly selected patients admitted to the ICU during April 2012 (10% of admitted adult population). This study was approved by the Mayo Clinic Institution Review Board. RESULTS All types of variables needed for metric calculations were found to be available for manual and electronic abstraction, except information for availability of free beds for patient-specific time-frames. There was 100% agreement between electronic and manual data abstraction for ICU admission source, admission service, and discharge disposition. The agreement between electronic and manual data abstraction of the time of ICU admission and discharge were 99% and 89%. The time of hospital admission and discharge were similar for both the electronically and manually abstracted datasets. The specificity of the electronically-generated report was 93% and 94% for invasive and non-invasive ventilation use in the ICU. One false-positive result for each type of ventilation was present. The specificity for ICU and in-hospital mortality was 100%. Sensitivity was 100% for all metrics. CONCLUSION Our study demonstrates excellent accuracy of electronically-generated key ICU quality metrics. This validates the feasibility of automatic metric generation.

User perception and experience of the introduction of a novel critical care patient viewer in the ICU setting.

OBJECTIVE Failure to rapidly identify high-value information due to inappropriate output may alter user acceptance and satisfaction. The information needs for different intensive care unit (ICU) providers are not the same. This can obstruct successful implementation of electronic medical record (EMR) systems. We evaluated the implementation experience and satisfaction of providers using a novel EMR interface-based on the information needs of ICU providers-in the context of an existing EMR system. METHODS This before-after study was performed in the ICU setting at two tertiary care hospitals from October 2013 through November 2014. Surveys were delivered to ICU providers before and after implementation of the novel EMR interface. Overall satisfaction and acceptance was reported for both interfaces. RESULTS A total of 246 before (existing EMR) and 115 after (existing EMR+novel EMR interface) surveys were analyzed. 14% of respondents were prescribers and 86% were non-prescribers. Non-prescribers were more satisfied with the existing EMR, whereas prescribers were more satisfied with the novel EMR interface. Both groups reported easier data gathering, routine tasks & rounding, and fostering of team work with the novel EMR interface. This interface was the primary tool for 18% of respondents after implementation and 73% of respondents intended to use it further. Non-prescribers reported an intention to use this novel interface as their primary tool for information gathering. CONCLUSION Compliance and acceptance of new system is not related to previous duration of work in ICU, but ameliorates with the length of EMR interface usage. Task-specific and role-specific considerations are necessary for design and successful implementation of a EMR interface. The difference in user workflows causes disparity of the way of EMR data usage.

Clinical calculators in hospital medicine

OBJECTIVE Clinical calculators are widely used in modern clinical practice, but are not generally applied to electronic health record (EHR) systems. Important barriers to the application of these clinical calculators into existing EHR systems include the need for real-time calculation, human-calculator interaction, and data source requirements. The objective of this study was to identify, classify, and evaluate the use of available clinical calculators for clinicians in the hospital setting. METHODS Dedicated online resources with medical calculators and providers of aggregated medical information were queried for readily available clinical calculators. Calculators were mapped by clinical categories, mechanism of calculation, and the goal of calculation. Online statistics from selected Internet resources and clinician opinion were used to assess the use of clinical calculators. RESULTS One hundred seventy-six readily available calculators in 4 categories, 6 primary specialties, and 40 subspecialties were identified. The goals of calculation included prediction, severity, risk estimation, diagnostic, and decision-making aid. A combination of summation logic with cutoffs or rules was the most frequent mechanism of computation. Combined results, online resources, statistics, and clinician opinion identified 13 most utilized calculators. CONCLUSION Although not an exhaustive list, a total of 176 validated calculators were identified, classified, and evaluated for usefulness. Most of these calculators are used for adult patients in the critical care or internal medicine settings. Thirteen of 176 clinical calculators were determined to be useful in our institution. All of these calculators have an interface for manual input.

How Much Oxygen? Oxygen Titration Goals during Mechanical Ventilation

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Systematic Review of the Use of Phytochemicals for Management of Pain in Cancer Therapy

Pain in cancer therapy is a common condition and there is a need for new options in therapeutic management. While phytochemicals have been proposed as one pain management solution, knowledge of their utility is limited. The objective of this study was to perform a systematic review of the biomedical literature for the use of phytochemicals for management of cancer therapy pain in human subjects. Of an initial database search of 1,603 abstracts, 32 full-text articles were eligible for further assessment. Only 7 of these articles met all inclusion criteria for this systematic review. The average relative risk of phytochemical versus control was 1.03 [95% CI 0.59 to 2.06]. In other words (although not statistically significant), patients treated with phytochemicals were slightly more likely than patients treated with control to obtain successful management of pain in cancer therapy. We identified a lack of quality research literature on this subject and thus were unable to demonstrate a clear therapeutic benefit for either general or specific use of phytochemicals in the management of cancer pain. This lack of data is especially apparent for psychotropic phytochemicals, such as the Cannabis plant (marijuana). Additional implications of our findings are also explored.

Outcome and undertreatment of mitral regurgitation: a community cohort study

BACKGROUND Mitral regurgitation is the most common valve disease worldwide but whether the community-wide prevalence, poor patient outcomes, and low rates of surgical treatment justify costly development of new therapeutic interventions remains uncertain. Therefore, we did an observational cohort study to assess the clinical characteristics, outcomes, and degree of undertreatment of mitral regurgitation in a community setting. METHODS We used data from Mayo Clinic electronic health records and the Rochester Epidemiology Project to identify all cases of moderate or severe isolated single-valvular mitral regurgitation (with no other severe left-sided valvular disease or previous mitral surgery) diagnosed during a 10-year period in the community setting in Olmsted County (MN, USA). We assessed clinical characteristics, mortality, heart failure incidence, and results of cardiac surgery post-diagnosis. FINDINGS Between Jan 1, 2000, and Dec 31, 2010, 1294 community residents (median age at diagnosis 77 years [IQR 66-84]) were diagnosed with moderate or severe mitral regurgitation by Doppler echocardiography (prevalence 0·46% [95% CI 0·42-0·49] overall; 0·59% [0·54-0·64] in adults). Left-ventricular ejection fraction below 50% was frequent (recorded in 538 [42%] patients), and these patients had a slightly lower regurgitant volume than those with an ejection fraction of 50% or higher (mean 39 mL [SD 16] vs 45 mL [21], p<0·0001). Post-diagnosis mortality was mainly cardiovascular in nature (in 420 [51%] of 824 patients for whom the cause of death was available) and higher than expected for residents of the county for age or sex (risk ratio [RR] 2·23 [95% CI 2·06-2·41], p<0·0001). This excess mortality affected all subsets of patients, whether they had a left-ventricular ejection fraction lower than 50% (RR 3·17 [95% CI 2·84-3·53], p<0·0001) or of 50% or higher (1·71 [1·53 -1·91], p<0·0001) and with primary mitral regurgitation (RR 1·73 [95% CI 1·53-1·96], p<0·0001) or secondary mitral regurgitation (2·72 [2·48-3·01], p<0·0001). Even patients with a low comorbidity burden combined with favourable characteristics such as left-ventricular ejection fraction of 50% or higher (RR 1·28 [95% CI 1·10-1·50], p<0·0017) or primary mitral regurgitation (1·29 [1·09-1·52], p=0·0030) incurred excess mortality. Heart failure was frequent (mean 64% [SE 1] at 5 years postdiagnosis), even in patients with left-ventricular ejection fraction of 50% or higher (49% [2] at 5 years postdiagnosis) or in those with primary mitral regurgitation (48% [2]). Mitral surgery was ultimately done in only 198 (15%) of 1294 patients, of which the predominant type of surgery was valve repair (in 149 [75%] patients). Mitral surgery was done in 28 (5%) of 538 patients with left-ventricular ejection fraction below 50% and in 170 (22%) of 756 patients with ejection fraction of 50% or higher, and in 34 (5%) of 723 with secondary mitral regurgitation versus 164 (29%) of 571 with primary regurgitation. All other types of cardiac surgery combined were performed in only 3% more patients (237 [18%] patients) than the number who underwent mitral surgery. INTERPRETATION In the community, isolated mitral regurgitation is common and is associated with excess mortality and frequent heart failure postdiagnosis in all patient subsets, even in those with normal left-ventricular ejection fraction and low comorbidity. Despite these poor outcomes, only a minority of affected patients undergo mitral (or any type of cardiac) surgery even in a community with all means of diagnosis and treatment readily available and accessible. This suggests that in a wider population there might be a substantial unmet need for treatment for this disorder. FUNDING Mayo Clinic Foundation.

Comparison of methods of alert acknowledgement by critical care clinicians in the ICU setting

Background Electronic Health Record (EHR)-based sepsis alert systems have failed to demonstrate improvements in clinically meaningful endpoints. However, the effect of implementation barriers on the success of new sepsis alert systems is rarely explored. Objective To test the hypothesis time to severe sepsis alert acknowledgement by critical care clinicians in the ICU setting would be reduced using an EHR-based alert acknowledgement system compared to a text paging-based system. Study Design In one arm of this simulation study, real alerts for patients in the medical ICU were delivered to critical care clinicians through the EHR. In the other arm, simulated alerts were delivered through text paging. The primary outcome was time to alert acknowledgement. The secondary outcomes were a structured, mixed quantitative/qualitative survey and informal group interview. Results The alert acknowledgement rate from the severe sepsis alert system was 3% (N = 148) and 51% (N = 156) from simulated severe sepsis alerts through traditional text paging. Time to alert acknowledgement from the severe sepsis alert system was median 274 min (N = 5) and median 2 min (N = 80) from text paging. The response rate from the EHR-based alert system was insufficient to compare primary measures. However, secondary measures revealed important barriers. Conclusion Alert fatigue, interruption, human error, and information overload are barriers to alert and simulation studies in the ICU setting.

Long-Term Return to Functional Baseline After Mechanical Ventilation in the ICU

Objective: Predictors of long-term functional impairment in acute respiratory failure of all causes are poorly understood. Our objective was to assess the frequency and predictors of long-term functional impairment or death after invasive mechanical ventilation for acute respiratory failure of all causes. Design: Population-based, observational cohort study. Setting: Eight adult ICUs of a single center. Patients: All adult patients from Olmsted County, Minnesota, without baseline functional impairment who received mechanical ventilation in ICUs for acute respiratory failure of all causes from 2005 through 2009. Interventions: None. Measurements and Main Results: In total, 743 patients without baseline functional impairment received mechanical ventilation in the ICU. At 1- and 5-year follow-up, the rates of survival with return to baseline functional ability were 61% (366/597) and 53% (356/669). Among 71 patients with new functional impairment at 1 year, 55% (39/71) had recovered and were alive without functional impairment at 5 years. Factors predictive of new functional impairment or death at 1 year were age, comorbidities, discharge to other than home, mechanical ventilation of 7 days or longer, and stroke. Of factors known at the time of intubation, the following are predictive of new functional impairment or death: age, comorbidities, nonsurgical condition, Acute Physiology and Chronic Health Evaluation III score, stroke, and sepsis. Post hoc sensitivity analyses revealed no significant change in predictor variables in patient populations when stroke was excluded or who received more than 48 hours of mechanical ventilation. Conclusions: At 1- and 5-year follow-up, many patients who received mechanical ventilation for acute respiratory failure from all causes are no longer alive or have new moderate-to-severe functional impairment. Functional recovery between year 1 and year 5 is possible and common. Sepsis, stroke, illness severity, age, and comorbidities predict long-term functional outcome at intubation.