Pharmacokinetics of colistin in patients with multidrug-resistant Gram-negative infections: A pilot study.

Background & objectives: There is little information concerning intravenously (i.v.) administered colistin in patients with multidrug-resistant (MDR) Gram-negative infections. Thus, this pilot prospective study was undertaken to characterize efficacy and pharmacokinetics of colistin in patients with MDR Gram-negative infections. Methods: Nine patients with age >12 yr and MDR Gram-negative infections were included, of whom six were given colistin at the doses of 2 MU, while three patients were given 1 MU i.v. dose every 8 h. Blood samples were collected at different time intervals. Determination of colistin concentration was done by a ultra-high-performance liquid chromatography/mass spectrometry/selected reaction monitoring assay. Results: The area under the plasma concentration-versus-time curve over eight hours (AUC0-8) for colistin after the 1st dose ranged from 3.3 to 16.4 mg×h/l (median, 4.59). After the 5th dose, AUC0-8for colistin ranged from 4.4 to 15.8 mg×h/l (median, 6.0). With minimal inhibitory concentration (MIC) value of 0.125 mg/l, AUC0-8/MIC ranged from 26.7 to 131.4 (median, 36.7) and 35.5 to 126.0 (median, 48.0) after the 1st and the 5th doses of 2 MU every 8 h, respectively. Interpretation & conclusions: As there is a paucity of information on AUC/MIC for colistin, it may not be possible to conclude whether AUC/MIC values in our patients were adequate. There is a microbiological clearance of organism, which goes in favour of the dosing schedule being adequate. Further studies need to be done to understand the pharmacokinetics of colistin in patients with infections.

Medicare Imaging Demonstration: Assessing Attributes of Appropriate Use Criteria and Their Influence on Ordering Behavior.

OBJECTIVE: Persistent concern exists about the variable and possibly inappropriate utilization of high-cost imaging tests. The purpose of this study is to assess the influence of appropriate use criteria attributes on altering ambulatory imaging orders deemed inappropriate. MATERIALS AND METHODS: This secondary analysis included Medicare Imaging Demonstration data collected from three health care systems in 2011-2013 via the use of clinical decision support (CDS) during ambulatory imaging order entry. The CDS system captured whether orders were inappropriate per the appropriate use criteria of professional societies and provided advice during the intervention period. For orders deemed inappropriate, we assessed the impact of the availability of alternative test recommendations, conflicts with local best practices, and the strength of evidence for appropriate use criteria on the primary outcome of cancellation or modification of inappropriate orders. Expert review determined conflicts with local best practices for 250 recommendations for abdominal and thoracic CT orders. Strength of evidence was assessed for the 15 most commonly triggered recommendations that were deemed inappropriate. A chi-square test was used for univariate analysis. RESULTS: A total of 1691 of 63,222 imaging test orders (2.7%) were deemed inappropriate during the intervention period; this amount decreased from 364 of 11,675 test orders (3.1%) in the baseline period (p < 0.00001). Of 270 inappropriate recommendations with alternative test recommendations, 28 (10.4%) were modified, compared with four of 1024 inappropriate recommendations without alternatives (0.4%) (p < 0.0001). Seventy-eight of 250 recommendations (31%) conflicted with local best practices, but only six of 69 inappropriate recommendations (9%) conflicted (p < 0.001). No inappropriate recommendations that conflicted with local best practices were modified. All 15 commonly triggered recommendations had an Oxford Centre for Evidence-Based Medicine level of evidence of 5 (i.e., expert opinion). CONCLUSION: Orders for imaging tests that were deemed inappropriate were modified infrequently, more often with alternative recommendations present and only for appropriate use criteria consistent with local best practices.

JOURNAL CLUB: Predictors of Provider Response to Clinical Decision Support: Lessons Learned From the Medicare Imaging Demonstration.

OBJECTIVE: The efficacy of imaging clinical decision support (CDS) varies. Our objective was to identify CDS factors contributing to imaging order cancellation or modification. SUBJECTS AND METHODS: This pre-post study was performed across four institutions participating in the Medicare Imaging Demonstration. The intervention was CDS at order entry for selected outpatient imaging procedures. On the basis of the information entered, computerized alerts indicated to providers whether orders were not covered by guidelines, appropriate, of uncertain appropriateness, or inappropriate according to professional society guidelines. Ordering providers could override or accept CDS. We considered actionable alerts to be those that could generate an immediate order behavior change in the ordering physician (i.e., cancellation of inappropriate orders or modification of orders of uncertain appropriateness that had a recommended alternative). Chi-square and logistic regression identified predictors of order cancellation or modification after an alert. RESULTS: A total of 98,894 radiology orders were entered (83,114 after the intervention). Providers ignored 98.9%, modified 1.1%, and cancelled 0.03% of orders in response to alerts. Actionable alerts had a 10 fold higher rate of modification (8.1% vs 0.7%; p < 0.0001) or cancellation (0.2% vs 0.02%; p < 0.0001) orders compared with nonactionable alerts. Orders from institutions with preexisting imaging CDS had a sevenfold lower rate of cancellation or modification than was seen at sites with newly implemented CDS (1.4% vs 0.2%; p < 0.0001). In multivariate analysis, actionable alerts were 12 times more likely to result in order cancellation or modification. Orders at sites with preexisting CDS were 7.7 times less likely to be cancelled or modified (p < 0.0001). CONCLUSION: Using results from the Medicare Imaging Demonstration project, we identified potential factors that were associated with CDS effect on provider imaging ordering; these findings may have implications for future design of such computerized systems.

Accuracy of electronically reported "meaningful use" clinical quality measures: a cross-sectional study.

BACKGROUND: The federal Electronic Health Record Incentive Program requires electronic reporting of quality from electronic health records, beginning in 2014. Whether electronic reports of quality are accurate is unclear. OBJECTIVE: To measure the accuracy of electronic reporting compared with manual review. DESIGN: Cross-sectional study. SETTING: A federally qualified health center with a commercially available electronic health record. PATIENTS: All adult patients eligible in 2008 for 12 quality measures (using 8 unique denominators) were identified electronically. One hundred fifty patients were randomly sampled per denominator, yielding 1154 unique patients. MEASUREMENTS: Receipt of recommended care, assessed by both electronic reporting and manual review. Sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios, and absolute rates of recommended care were measured. RESULTS: Sensitivity of electronic reporting ranged from 46% to 98% per measure. Specificity ranged from 62% to 97%, positive predictive value from 57% to 97%, and negative predictive value from 32% to 99%. Positive likelihood ratios ranged from 2.34 to 24.25 and negative likelihood ratios from 0.02 to 0.61. Differences between electronic reporting and manual review were statistically significant for 3 measures: Electronic reporting underestimated the absolute rate of recommended care for 2 measures (appropriate asthma medication [38% vs. 77%; P < 0.001] and pneumococcal vaccination [27% vs. 48%; P < 0.001]) and overestimated care for 1 measure (cholesterol control in patients with diabetes [57% vs. 37%; P = 0.001]). LIMITATION: This study addresses the accuracy of the measure numerator only. CONCLUSION: Wide measure-by-measure variation in accuracy threatens the validity of electronic reporting. If variation is not addressed, financial incentives intended to reward high quality may not be given to the highest-quality providers. PRIMARY FUNDING SOURCE: Agency for Healthcare Research and Quality.

Promoting generic medication prescribing by order interface redesign: small change, large impact.

Prescription drugs are a significant component of the ever increasing health care costs. We describe the effects on generic medication prescribing behavior achieved through redesign of the order entry interface of our institutions ambulatory electronic health record. The redesign involved custom programming that automatically substituted brand medications with their generic equivalents and only allowed continuation with the brand medication if the clinician made an extra mouse click selecting "dispense as written". We conducted a before-after retrospective study around the time of the redesign and witnessed a net 36.9% percentage increase in the number of generic medications prescribed.

Factors Affecting Stress Levels in Attendants Accompanying Patients to Emergency Department.

Introduction: Staff in emergency departments work in an environment where they are continuously exposed to situations with aggressive patients and their caretakers. With increasing incidents of reported violence, the present study was conducted to identify factors associated with stress levels among patients' attendants. Methods: A prospective, cross-sectional, observational study was conducted among 256 attendants of patients presenting to Emergency Department (ED). Signs of stress and imminent violence were recorded using STAMP method at initial encounter. Stress levels were assessed using Perceived Stress Scale 10 and Visual Analog Scale at the end of 2 h during patient's stay in emergency department. Factors associated with stress were studied using linear regression analysis. There was a follow-up to estimate the level of stress, to identify risk factors and types of violence in the sample population. Results: 98.9% of attendants exhibited some form of stress. Age of <40 years, female gender, single marital status, lower educational background, lack of previous experience with ED, perceived long waiting time, and first-degree relatives were the significant risk factors associated with high stress. Verbal aggression was the most common and frequent form of aggression. Noncritically ill patient attendants, no previous experience with EDs, graduates, middle age group, perceived long waiting time, and poor patient response to treatment were found to be risk factors for impending violence. Conclusion: Stress was exhibited in majority of caregivers. Further programs are needed to strengthen training for ED staff to identify early and impending violence and to develop coping mechanisms for well-being of both attendants and health-care professionals.

Bladder cancer with pioglitazone: A case-control study.

BACKGROUND: Varied reports suggest a contentious relationship of bladder malignancy with pioglitazone in patients with type 2 diabetes. AIM: To study an association (prevalence and predictors) of bladder malignancy with pioglitazone therapy in Asian-Indian type 2 diabetes patients. METHOD: In this observational multicenter study, type 2 diabetic patients attending out-patient diabetes-clinic were evaluated. A detailed history of anti-diabetic medication, dose, duration, pioglitazone usage, time since initiation of pioglitazone, physical examination, biochemical tests and details pertaining to prevalent neuropathy, retinopathy and nephropathy were recorded. Details of bladder cancer or any malignancy (if present), time since diagnosis, risk factors for bladder cancer and histopathology records were noted. The study cohort was divided into two groups-pioglitazone ever users (Group A) and never users (Group B). RESULTS: A total of 8000 patients were screened out of which 1560 were excluded. Among 6440 included patients, 1056 (16.3%) patients were in group A and 5384 (83.6%) group B. Patients on pioglitazone were older (59.1 vs 57.7 years, p < 0.001), had longer duration of diabetes (12.7 vs 10.6 years, p < 0.001) with poor glycemic control (HbA1c 8.5 vs 8.3%, p < 0.01). A total of 74 patients had prevalent bladder cancer [16 (1.5%) in Group A and 58 in Group B (1.0%)]. Prevalent bladder cancer was not significantly greater in ever-users (odds ratio OR = 1.29, 95% confidence interval CI, 0.83-2.00) compared to never-users (odds ratio OR = 0.94, 95% confidence interval CI, 0.834-1.061) of pioglitazone (p = 0.207). However, history of hematuria in pioglitazone-users; while older age (>58 year), history of smoking and hematuria in the whole cohort were significant associated with bladder cancer. In the entire study cohort, 254 patients; 3.5% of males (128 out of 3575) and 4.6% of females (126 out of 2713) developed any malignancy. Age was significantly associated with prevalent malignancy in people with diabetes (odds ratio OR 1.036, 95% confidence interval CI: 1.022-1.051, p = 0.00) on multivariate forward regression. CONCLUSION: Pioglitazone use in Asian-Indians is not associated with an increased bladder cancer risk. However, pioglitazone should be restricted in individuals with history of hematuria. Age more than 58 years is a significant risk factor for development of any malignancy, particularly bladder cancer.

Transitioning between electronic health records: effects on ambulatory prescribing safety.

BACKGROUND: Healthcare providers previously using older electronic health records (EHRs) with electronic prescribing (e-prescribing) are transitioning to newer systems to be eligible for federal meaningful use incentives. Little is known about the safety effects of transitioning between systems. OBJECTIVE: To assess the effect of transitioning between EHR systems on rates and types of prescribing errors, as well as provider perceptions about the effect on prescribing safety. DESIGN, PARTICIPANTS: Prospective, case study of 17 physicians at an academic-affiliated ambulatory clinic from February 2008 through August 2009. All physicians transitioned from an older EHR with minimal clinical decision support (CDS) for e-prescribing to a newer EHR with more robust CDS. MAIN MEASUREMENTS: Prescribing errors were identified by standardized prescription and chart review. A novel survey instrument was administered to evaluate provider perceptions about prescribing safety. KEY RESULTS: We analyzed 1298 prescriptions at baseline, 1331 prescriptions 12 weeks post-implementation, and 1303 prescriptions one year post-implementation. Overall prescribing error rates were highest at baseline (35.7 per 100 prescriptions, 95% confidence interval (CI) 23.2-54.8) and lowest one year post-implementation (12.2 per 100 prescriptions, 95% CI 8.6-17.4) (p < 0.001). Improvement in prescribing safety was mainly a result of reducing inappropriate abbreviation errors. However, rates for non-abbreviation prescribing errors were significantly higher at 12 weeks post-implementation than at baseline (17.7 per 100 prescriptions, 95% CI 9.5-33.0 versus 8.5 per 100 prescriptions, 95% CI 4.6-15.9) (p <0.001) and no different at baseline than one year (10.2 per 100 prescriptions, 95% CI 6.2-18.6) (p = 0.337). Survey results complemented quantitative findings. CONCLUSIONS: Results from this case study suggest that transitioning between systems, even to those with more robust CDS, may pose important safety threats. Recognizing the challenges associated with transitions and refining CDS within systems may help maximize safety benefits.

Algorithmic Detection of Boolean Logic Errors in Clinical Decision Support Statements.

OBJECTIVE: Clinical decision support (CDS) can contribute to quality and safety. Prior work has shown that errors in CDS systems are common and can lead to unintended consequences. Many CDS systems use Boolean logic, which can be difficult for CDS analysts to specify accurately. We set out to determine the prevalence of certain types of Boolean logic errors in CDS statements. METHODS: Nine health care organizations extracted Boolean logic statements from their Epic electronic health record (EHR). We developed an open-source software tool, which implemented the Espresso logic minimization algorithm, to identify three classes of logic errors. RESULTS: Participating organizations submitted 260,698 logic statements, of which 44,890 were minimized by Espresso. We found errors in 209 of them. Every participating organization had at least two errors, and all organizations reported that they would act on the feedback. DISCUSSION: An automated algorithm can readily detect specific categories of Boolean CDS logic errors. These errors represent a minority of CDS errors, but very likely require correction to avoid patient safety issues. This process found only a few errors at each site, but the problem appears to be widespread, affecting all participating organizations. CONCLUSION: Both CDS implementers and EHR vendors should consider implementing similar algorithms as part of the CDS authoring process to reduce the number of errors in their CDS interventions.

Needs of Indian schizophrenia patients: an exploratory study from India.

BACKGROUND: Although there are many studies from the West, no study has evaluated the needs of schizophrenia patients in Indian setting. METHODOLOGY: 100 consecutive patients of schizophrenia were assessed on Camberwell Assessment of Needs questionnaire. Same questionnaire was also administered to the caregiver to assess their perception about the needs of the patients. RESULTS: Patients and their caregivers reported 8.12 and 7.13 needs, respectively, more than two-third of which were unmet. The most commonly reported needs by both patients and their caregivers were need for welfare benefits. Besides the welfare benefits, the four most common areas in which patients had needs and required help were-psychotic symptoms, psychological distress, information about the condition and money, whereas four most commonly reported area of needs reported by the caregivers were psychological distress, money, company and intimate relationships. Help provided by the government or non-governmental organizations was negligible. CONCLUSIONS: Most of needs of schizophrenia patients are unmet.

Clinical presentation and urachal remnant pathology: implications for treatment.

PURPOSE: Symptomatic pediatric urachal remnants are frequently excised but to our knowledge it is unknown whether incidentally identified urachal remnants require removal. Urachal remnant excision in childhood is advocated to avoid future malignancy. Urachal anomalies that contain fibrostromal tissue without epithelium may have lower malignant potential and not require excision. In contrast, lesions with epithelium may have increased potential to undergo malignant transformation. We examined whether incidentally identified urachal remnants would be less likely to contain epithelial elements and not require removal. MATERIALS AND METHODS: At our institution 29 patients underwent surgical excision of a urachal anomaly from 1999 to 2008. We retrospectively investigated the presentation mode, radiographic findings, associated genitourinary abnormalities, operative approach, tissue pathology, complications and followup in each patient. RESULTS: The male-to-female ratio was 1.2:1. Patient presentation was incidental (5) or symptomatic (24). Symptomatic presentations included umbilical discharge without omphalitis in 13 cases, umbilical discharge with omphalitis in 7, omphalitis without umbilical discharge in 3 and urinary tract infection in 1. The epithelial types identified were transitional, gastrointestinal, squamous, metaplastic and mixed. Epithelium was present on pathological analysis in 3 of 5 patients who presented incidentally and in 17 of 24 who presented symptomatically. Statistical analysis showed no association between presentation mode and pathology (p = 0.63). Five patients 4 weeks to 2.5 months old had vesicoureteral reflux on voiding cystourethrogram for urachal remnant evaluation. CONCLUSIONS: Analysis of 29 patients with urachal anomalies showed no association between incidental presentation and fibrostromal pathology. Patients presenting without symptoms were as likely to have epithelial elements in the urachal remnant as those presenting with symptoms. We could not define treatment recommendations for incidentally identified urachal remnants based on predicting the histopathological composition.

Is lymphadenectomy indicated in patients with T1 moderately differentiated penile cancer?

OBJECTIVE: In patients with penile squamous cell carcinomas (SCCs), lymphadenectomy can be curative and should be considered in cases deemed high risk for metastatic spread to regional lymph nodes. Management of patients without palpable lymphadenopathy remains controversial. Current guidelines for T1 penile SCCs based on previous studies have suggested that moderately differentiated tumors are at low risk for metastatic disease; however given our experience with such patients we sought to examine whether such tumors were truly observable or should be treated more aggressively. MATERIALS AND METHODS: A retrospective chart review of penile cancer cases at three institutions was performed. All slides of patients diagnosed with T1 lesions were rereviewed by our reference pathologists to confirm the original diagnosis and stage. These patients were also reviewed regarding lymphadenectomy results and clinical outcomes. RESULTS: Between 1988 and 2004, a total of 34 cases of SCC of the penis were identified, of which 10 were stage T1. Of these 10 cases, seven had moderately differentiated carcinoma without vascular invasion on pathological evaluation. Metastatic disease was present in one patient at the time of diagnosis and subsequently developed in three of the remaining six patients during follow up. Thus a total of 4 (57%) of the patients developed metastatic disease. CONCLUSIONS: Current management protocols place moderately differentiated T1 penile squamous carcinoma without vascular invasion in a low risk category for metastatic disease. As such, expectant management is currently offered as a primary option for these patients. Our experience suggests that patients in this category are in fact at higher risk for metastatic disease, and may be offered early groin dissection in place of expectant management.

Structured override reasons for drug-drug interaction alerts in electronic health records.

OBJECTIVE: The study sought to determine availability and use of structured override reasons for drug-drug interaction (DDI) alerts in electronic health records. MATERIALS AND METHODS: We collected data on DDI alerts and override reasons from 10 clinical sites across the United States using a variety of electronic health records. We used a multistage iterative card sort method to categorize the override reasons from all sites and identified best practices. RESULTS: Our methodology established 177 unique override reasons across the 10 sites. The number of coded override reasons at each site ranged from 3 to 100. Many sites offered override reasons not relevant to DDIs. Twelve categories of override reasons were identified. Three categories accounted for 78% of all overrides: "will monitor or take precautions," "not clinically significant," and "benefit outweighs risk." DISCUSSION: We found wide variability in override reasons between sites and many opportunities to improve alerts. Some override reasons were irrelevant to DDIs. Many override reasons attested to a future action (eg, decreasing a dose or ordering monitoring tests), which requires an additional step after the alert is overridden, unless the alert is made actionable. Some override reasons deferred to another party, although override reasons often are not visible to other users. Many override reasons stated that the alert was inaccurate, suggesting that specificity of alerts could be improved. CONCLUSIONS: Organizations should improve the options available to providers who choose to override DDI alerts. DDI alerting systems should be actionable and alerts should be tailored to the patient and drug pairs.

hCAP-D3 expression marks a prostate cancer subtype with favorable clinical behavior and androgen signaling signature.

Growing evidence suggests that only a fraction of prostate cancers detected clinically are potentially lethal. An important clinical issue is identifying men with indolent cancer who might be spared aggressive therapies with associated morbidities. Previously, using microarray analysis we defined 3 molecular subtypes of prostate cancer with different gene-expression patterns. One, subtype-1, displayed features consistent with more indolent behavior, where an immunohistochemical marker (AZGP1) for subtype-1 predicted favorable outcome after radical prostatectomy. Here we characterize a second candidate tissue biomarker, hCAP-D3, expressed in subtype-1 prostate tumors. hCAP-D3 expression, assayed by RNA in situ hybridization on a tissue microarray comprising 225 cases, was associated with decreased tumor recurrence after radical prostatectomy (P=0.004), independent of pathologic tumor stage, Gleason grade, and preoperative prostate-specific antigen levels. Simultaneous assessment of hCAP-D3 and AZGP1 expression in this tumor set improved outcome prediction. We have previously demonstrated that hCAP-D3 is induced by androgen in prostate cells. Extending this finding, Gene Set Enrichment Analysis revealed enrichment of androgen-responsive genes in subtype-1 tumors (P=0.019). Our findings identify hCAP-D3 as a new biomarker for subtype-1 tumors that improves prognostication, and reveal androgen signaling as an important biologic feature of this potentially clinically favorable molecular subtype.

Attitudes of patients and family members towards implantable psychiatric medication.

INTRODUCTION: Medication is a necessary part of treatment for severe psychiatric illnesses such as schizophrenia and nonadherence to prescribed medication is one of the most important public health issues in psychiatry today. The devastating consequences of nonadherence have motivated the development of novel therapeutic strategies, including a new long-term implantable medication delivery system. METHODS: The current study assesses attitudes towards implantable medication in psychiatric patients and their family members. Patients included in the study had diagnoses of Schizophrenia, Schizoaffective Disorder, Mood or Anxiety related disorders. RESULTS: 49.62% of patients and 74.47% of family members endorse support for implantable medication. CONCLUSIONS: This study demonstrates that implants may be an acceptable alternative to oral and injectable medication for a subset of psychiatric patients and their families.

Integrity of clinical information in computerized order requisitions for diagnostic imaging.

Objective: Assess information integrity (concordance and completeness of documented exam indications from the electronic health record [EHR] imaging order requisition, compared to EHR provider notes), and assess potential impact of indication inaccuracies on exam planning and interpretation. Methods: This retrospective study, approved by the Institutional Review Board, was conducted at a tertiary academic medical center. There were 139 MRI lumbar spine (LS-MRI) and 176 CT abdomen/pelvis orders performed 4/1/2016-5/31/2016 randomly selected and reviewed by 4 radiologists for concordance and completeness of relevant exam indications in order requisitions compared to provider notes, and potential impact of indication inaccuracies on exam planning and interpretation. Forty each LS-MRI and CT abdomen/pelvis were re-reviewed to assess kappa agreement. Results: Requisition indications were more likely to be incomplete (256/315, 81%) than discordant (133/315, 42%) compared to provider notes (p < 0.0001). Potential impact of discrepancy between clinical information in requisitions and provider notes was higher for radiologist's interpretation than for exam planning (135/315, 43%, vs 25/315, 8%, p < 0.0001). Agreement among radiologists for concordance, completeness, and potential impact was moderate to strong (Kappa 0.66-0.89). Indications in EHR order requisitions are frequently incomplete or discordant compared to physician notes, potentially impacting imaging exam planning, interpretation and accurate diagnosis. Such inaccuracies could also diminish the relevance of clinical decision support alerts if based on information in order requisitions. Conclusions: Improved availability of relevant documented clinical information within EHR imaging requisition is necessary for optimal exam planning and interpretation.

Workflow modeling in critical care: piecing together your own puzzle.

The intensive care unit (ICU) is an instance of a very dynamic health care setting where critically ill patients are being managed. To provide good care, an extensive and coordinated communication amongst the role players, use of numerous information systems and operation of devices for monitoring and treatment purposes are required. The purpose of this research is to study error evolution and management within this environment. The focus is on representing the workflow of critical care environment, which emphasizes the importance such a representation may play in strategizing the management of medical errors. We used ethnographic observation and interview data to build individual pieces of the workflow, dependent on the individual and the activity concerned. Key personnel were intensively followed during their respective patient care activities and the related actions. All interactions were recorded for analysis. These clinicians and nurses were interviewed to complement the observation data and to delineate their individual workflows. These pieces of the ICU workflow were used to develop a generalize-able cognitive model to represent the intricate workflow applicable to other health care settings. The proposed model can be used to identify and characterize medical errors and for error prediction in practice.

Variation in high-priority drug-drug interaction alerts across institutions and electronic health records.

Objective: The United States Office of the National Coordinator for Health Information Technology sponsored the development of a "high-priority" list of drug-drug interactions (DDIs) to be used for clinical decision support. We assessed current adoption of this list and current alerting practice for these DDIs with regard to alert implementation (presence or absence of an alert) and display (alert appearance as interruptive or passive). Materials and methods: We conducted evaluations of electronic health records (EHRs) at a convenience sample of health care organizations across the United States using a standardized testing protocol with simulated orders. Results: Evaluations of 19 systems were conducted at 13 sites using 14 different EHRs. Across systems, 69% of the high-priority DDI pairs produced alerts. Implementation and display of the DDI alerts tested varied between systems, even when the same EHR vendor was used. Across the drug pairs evaluated, implementation and display of DDI alerts differed, ranging from 27% (4/15) to 93% (14/15) implementation. Discussion: Currently, there is no standard of care covering which DDI alerts to implement or how to display them to providers. Opportunities to improve DDI alerting include using differential displays based on DDI severity, establishing improved lists of clinically significant DDIs, and thoroughly reviewing organizational implementation decisions regarding DDIs. Conclusion: DDI alerting is clinically important but not standardized. There is significant room for improvement and standardization around evidence-based DDIs.

Effects of an e-Prescribing interface redesign on rates of generic drug prescribing: exploiting default options.

OBJECTIVE: Increasing the use of generic medications could help control medical costs. However, educational interventions have limited impact on prescriber behavior, and e-prescribing alerts are associated with high override rates and alert fatigue. Our objective was to evaluate the effect of a less intrusive intervention, a redesign of an e-prescribing interface that provides default options intended to "nudge" prescribers towards prescribing generic drugs. METHODS: This retrospective cohort study in an academic ambulatory multispecialty practice assessed the effects of customizing an e-prescribing interface to substitute generic equivalents for brand-name medications during order entry and allow a one-click override to order the brand-name medication. RESULTS: Among drugs with generic equivalents, the proportion of generic drugs prescribed more than doubled after the interface redesign, rising abruptly from 39.7% to 95.9% (a 56.2% increase; 95% confidence interval, 56.0-56.4%; P < .001). Before the redesign, generic drug prescribing rates varied by therapeutic class, with rates as low as 8.6% for genitourinary products and 15.7% for neuromuscular drugs. After the redesign, generic drug prescribing rates for all but four therapeutic classes were above 90%: endocrine drugs, neuromuscular drugs, nutritional products, and miscellaneous products. DISCUSSION: Changing the default option in an e-prescribing interface in an ambulatory care setting was followed by large and sustained increases in the proportion of generic drugs prescribed at the practice. CONCLUSIONS: Default options in health information technology exert a powerful effect on user behavior, an effect that can be leveraged to optimize decision making.

Indian Psychiatric Society multicentric study on assessment of health-care needs of patients with severe mental illnesses.

AIM: To assess the health-care needs of the patients with severe mental disorders. MATERIALS AND METHODS: Patients with the diagnosis of a severe mental disorder (schizophrenia and related psychotic disorders, bipolar disorder, recurrent depressive disorder, major depressive disorder and obsessive compulsive disorder) were assessed using Camberwell Assessment of Need-Research version (CAN-R) Scale and indigenously designed Supplementary Needs Assessment Scale (SNAS). RESULTS: The study included 1494 patients recruited from 15 centers. The most common diagnostic group was that of affective disorders (55.3%), followed by psychotic disorders (37.6%). The mean number of total needs as perceived by the patients was 7.6 on the CAN-R. About two-third of the needs as assessed on CAN-R were met, and one-third were unmet. On CAN-R, main domains of needs as reported by patients were those of money, welfare benefits, transport, information about the illness and treatment, relief of psychological distress, company, household skills and intimate relationships. On SNAS, the mean number of total needs as perceived by the patients was 7.6 of which 4.1 were met needs. The most common domains of needs as assessed on SNAS were those of financial help, medical reimbursement, psychoeducation, free treatment, certification of mental illness, flexible work/job timings, addressing the caregiver stress and legal aid. CONCLUSION: About two-third of the needs, of the patients with severe mental disorders are met as assessed using CAN-R. However, higher percentages of unmet needs are identified on SNAS. In view of the commonly reported needs, a change in the orientation of services offered to people with mental disorders is very much called for. At the government level, desired policies must be formulated to support the patients with mental disorders.