An intervention to improve transitions from NICU to ambulatory care: quasi-experimental study.

BACKGROUND: Infants born prematurely or with complex medical problems are surviving to discharge in growing numbers and often require significant monitoring and coordination of care in the ambulatory setting. Using Healthcare Failure Modes and Effects Analysis (HFMEA), we identified a large number of potentially serious error points in this transition of care. PURPOSE To test whether a multifaceted intervention that included a health coach to assist families and an enhanced personal health record to improve the quality of information available to parents and community professionals would decrease adverse events and improve family assessment of the transition. METHODS: Using a concurrent cohort design, infants in one geographic area (pod) of the intensive care nursery received the intervention; infants in two other pods received routine discharge care. Primary outcomes included deaths, sick visits, unplanned readmissions and missed appointments within 1 month of discharge. The family assessed the transition using a modified version of the Care Transitions Measure. RESULTS: 125 intervention infants (54% boys) and 104 control infants (48% boys) were enrolled over 18 months. The groups were similar in maternal education, insurance status, language spoken and number of adults in the home, birth weight and length of stay. At least one adverse outcome occurred in 63 (50.4%) intervention infants and 56 (53.8%) control infants (p=0.55). At 24­48 h post discharge, caregivers in the intervention group had significantly higher scores on the adapted care transitions measure (3.51 vs 3.27, p<0.0001); however, at 30 days, the difference was no longer significant (3.45 vs 3.40, p=0.27). CONCLUSIONS: A multicomponent discharge intervention designed to address specific problems identified using HFMEA did not reduce certain adverse outcomes in the post-discharge period. TRIAL REGISTRATION: NCT01088945.

Electronic health record-based triggers to detect potential delays in cancer diagnosis.

BACKGROUND: Delayed diagnosis of cancer can lead to patient harm, and strategies are needed to proactively and efficiently detect such delays in care. We aimed to develop and evaluate 'trigger' algorithms to electronically flag medical records of patients with potential delays in prostate and colorectal cancer (CRC) diagnosis. METHODS: We mined retrospective data from two large integrated health systems with comprehensive electronic health records (EHR) to iteratively develop triggers. Data mining algorithms identified all patient records with specific demographics and a lack of appropriate and timely follow-up actions on four diagnostic clues that were newly documented in the EHR: abnormal prostate-specific antigen (PSA), positive faecal occult blood test (FOBT), iron-deficiency anaemia (IDA), and haematochezia. Triggers subsequently excluded patients not needing follow-up (eg, terminal illness) or who had already received appropriate and timely care. Each of the four final triggers was applied to a test cohort, and chart reviews of randomly selected records identified by the triggers were used to calculate positive predictive values (PPV). RESULTS: The PSA trigger was applied to records of 292 587 patients seen between 1 January 2009 and 31 December 2009, and the CRC triggers were applied to 291 773 patients seen between 1 March 2009 and 28 February 2010. Overall, 1564 trigger positive patients were identified (426 PSA, 355 FOBT, 610 IDA and 173 haematochezia). Record reviews revealed PPVs of 70.2%, 66.7%, 67.5%, and 58.3% for the PSA, FOBT, IDA and haematochezia triggers, respectively. Use of all four triggers at the study sites could detect an estimated 1048 instances of delayed or missed follow-up of abnormal findings annually and 47 high-grade cancers. CONCLUSIONS: EHR-based triggers can be used successfully to flag patient records lacking follow-up of abnormal clinical findings suspicious for cancer.

A retrospective cohort study: 10-year trend of disease-modifying antirheumatic drugs and biological agents use in patients with rheumatoid arthritis at Veteran Affairs Medical Centers.

OBJECTIVES: To evaluate the trends in patterns of disease-modifying antirheumatic drugs (DMARDs) and biological agents use from 1999 to 2009 and to identify patient characteristics associated with different patterns of their use in a national sample of Veterans with rheumatoid arthritis (RA). DESIGN: A retrospective cohort study. SETTINGS: Administrative databases of the USA Department of Veterans Affairs. PARTICIPANTS: An incident cohort of 13 254 patients with newly diagnosed RA was identified. PRIMARY OUTCOME MEASURES: Trends and choice of DMARDs and biological agents' usage, and time intervals between RA diagnosis and treatment RESULTS: Methotrexate use as first-line agent increased from 39.9% to 57.2% over the study period (p<0.001). Although biological dispensations increased over other DMARDs and biological agents, from 3.4% to 25% from 1999 to 2009, the percentage of RA patients diagnosed between 1999 and 2007 who had biologics dispensations remained steady at 23.3-26.7%. Compared with Caucasian, African Americans were less likely to receive biologics (HR 0.71, 95% CI 0.63 to 0.81). Patients aged 75 and older were less likely to receive biologics than those younger than 45 (HR 0.29, 95% CI 0.23 to 0.36). The time interval between RA diagnosis and treatment with DMARDs and biological agents decreased significantly over time (median: 51 days in 1999-2001 to 28 days in 2006-2007). CONCLUSIONS: Methotrexate use increased as it became the preferred first-line agent, while other traditional agents declined. Dispensation of biologics increased significantly, but the proportion of RA patients eventually given biologics stabilised below 30%. A significant shorter time between RA diagnosis and DMARD or biological agent initiation in recent years suggests improvements in quality of care. There were disproportionately lower use of biologics in certain age and ethnic groups, and further studies will be needed to elucidate these observations.

Racial/ethnic differences in upper-tract urothelial cancer.

OBJECTIVES: Information on clinical characteristics, pattern of initial treatment and survival in patient with upper-tract urothelial carcinomas (UTUC) is scarce. Our study examined the racial/ethnic differences in patients diagnosed with incident UTUC. DESIGN: Observational study. The data analyses included: proportion and ANOVA for categorical and continuous variables, respectively; Kaplan-Meier method for calculating overall survival; and Cox-proportional hazards models for obtaining adjusted hazard-ratios. SETTING: Regions of the Surveillance, Epidemiology and End Results (SEER). PATIENTS OR PARTICIPANTS: 16,702 incident UTUC patients identified from the SEER dataset 1988-2007 (14,192 White, 967 Hispanic, 718 African American and 825 Asian). INTERVENTIONS: None. MAIN OUTCOME MEASURES: Race/ethnicity-specific distributions of demographics, tumor characteristics, patterns of initial treatment, and survival. RESULTS: African American and Hispanic patients were diagnosed at a younger age than Whites and Asians (P = .001). Hispanics were more likely to be diagnosed with larger tumor size than Whites and Asians (P < .0001). Asians were more likely to be diagnosed with advanced stage and higher tumor grade. Cox-regression revealed that Whites and Asians were significantly less likely to die after UTUC diagnosis than African Americans (HR = .78, 95% Cl = .67-.91 and HR = .75, 95% CI = .61-.91, respectively; all P = < .01). CONCLUSIONS: Our study found that Asians had worse tumor characteristics at the initial presentation than the other groups in this study, but that their risk of dying was lower. Further research is needed to include a larger number of Asian patients to examine subgroup differences and to confirm the paradoxical finding of higher survival with poor clinical characteristics.

Electronic health record-based surveillance of diagnostic errors in primary care.

BACKGROUND: Diagnostic errors in primary care are harmful but difficult to detect. The authors tested an electronic health record (EHR)-based method to detect diagnostic errors in routine primary care practice. METHODS: The authors conducted a retrospective study of primary care visit records 'triggered' through electronic queries for possible evidence of diagnostic errors: Trigger 1: A primary care index visit followed by unplanned hospitalisation within 14 days and Trigger 2: A primary care index visit followed by ≥1 unscheduled visit(s) within 14 days. Control visits met neither criterion. Electronic trigger queries were applied to EHR repositories at two large healthcare systems between 1 October 2006 and 30 September 2007. Blinded physician-reviewers independently determined presence or absence of diagnostic errors in selected triggered and control visits. An error was defined as a missed opportunity to make or pursue the correct diagnosis when adequate data were available at the index visit. Disagreements were resolved by an independent third reviewer. RESULTS: Queries were applied to 212 165 visits. On record review, the authors found diagnostic errors in 141 of 674 Trigger 1-positive records (positive predictive value (PPV)=20.9%, 95% CI 17.9% to 24.0%) and 36 of 669 Trigger 2-positive records (PPV=5.4%, 95% CI 3.7% to 7.1%). The control PPV of 2.1% (95% CI 0.1% to 3.3%) was significantly lower than that of both triggers (p≤0.002). Inter-reviewer reliability was modest, though higher than in comparable previous studies (к=0.37 (95% CI 0.31 to 0.44)). CONCLUSIONS: While physician agreement on diagnostic error remains low, an EHR-facilitated surveillance methodology could be useful for gaining insight into the origin of these errors.

Passive monitoring versus active assessment of clinical performance: impact on measured quality of care.

CONTEXT: Measurement of hospitals' clinical performance is becoming more ubiquitous in an effort to inform patient choices, payer reimbursement decisions, and quality improvement initiatives such as pay-for-performance. As more measures are developed, the intensity with which measures are monitored changes. Performance measures are often retired after a period of sustained performance and not monitored as actively as other measures where performance is more variable. The effect of actively versus passively monitoring performance on measured quality of care is not known. OBJECTIVE: We compared the nature and rate of change in hospital outpatient clinical performance as a function of a measure's status (active vs. passive), and examined the mean time to stability of performance after changing status. We hypothesize that performance will be higher when measures are actively monitored than when they are passively monitored. DESIGN: Longitudinal, hierarchical retrospective analyses of outpatient clinical performance measure data from Veterans Health Administration's External Peer Review Program from 2000 to 2008. SETTING: One hundred thirty-three Veterans Health Administration Medical Centers throughout the United States and its associated territories. MAIN OUTCOME MEASURES: Clinical performance on 17 measures covering 5 clinical areas common to ambulatory care: screening, immunization, chronic care after acute myocardial infarction, diabetes mellitus, and hypertension. RESULTS: Contrary to expectations, we found that measure status (whether active or passive) did not significantly impact performance over time; time to stability of performance varied considerably by measure, and did not seem to covary with performance at the stability point (ie, performance scores for measures with short stability times were no higher or lower than scores for measures with longer stability times). CONCLUSIONS: We found no significant "extinction" of performance after measures were retired, suggesting that other features of the health care system, such as organizational policies and procedures or other structural features, may be creating a "strong situation" and sustaining performance. Future research should aim to better understand the effects of monitoring performance using process-of-care measures and creating sustained high performance.

Imagery rescripting and exposure group treatment of posttraumatic nightmares in Veterans with PTSD.

This study details results of an open trial of a group psychological treatment for Veterans with posttraumatic stress disorder (PTSD) and chronic posttraumatic nightmares called "Imagery Rescripting and Exposure Therapy" (IRET). IRET is a variant of a successful imagery rescripting treatment for civilian trauma-related nightmares that was modified to address the needs of the Veteran population. Thirty-seven male U.S. Veterans with PTSD and nightmares attended 6 multicomponent group sessions. Findings indicated that the intervention significantly reduced frequency of nightmares and PTSD severity, as well as increased hours of sleep. Unlike the few open trials examining treatment of nightmares in Veterans, effect sizes in this study were similar to those that have been found in the civilian randomized controlled trial. These preliminary findings suggest that a nightmares treatment can be adapted to successfully reduce distress associated with combat Veterans' chronic nightmares. Clinical and research implications are discussed.

Prognostic risk stratification of pathological stage T3N0 bladder cancer after radical cystectomy.

PURPOSE: Patients with pathological T3N0 stage urothelial carcinoma of the bladder show a range of outcomes after radical cystectomy. Given that nomograms have included heterogeneous groups of patients, we focused on and stratified patients with pT3N0 urothelial carcinoma of the bladder after radical cystectomy into prognostically different risk groups to facilitate the development of adjuvant therapy trials for those at high risk. MATERIALS AND METHODS: The study comprised a total of 578 patients from 9 centers worldwide with pT3N0 urothelial carcinoma of the bladder who underwent radical cystectomy without perioperative chemotherapy. We evaluated the effect of pT3 substage at radical cystectomy, age, grade, lymphovascular invasion, margin status and number of lymph nodes removed on recurrence-free survival using Cox regression analysis. A weighted prognostic model was devised. RESULTS: Median followup was 39.4 months (IQR 64). On multivariate analysis pT3 substage at radical cystectomy (pT3b vs pT3a HR 2.056, p <0.0001), lymphovascular invasion (positive vs negative HR 2.004, p <0.0001) and margin status (positive vs negative HR 2.503, p = 0.002) were associated with recurrence-free survival (concordance index 0.66) in the context of generally adequate lymph node dissection, that is with a median of 17 removed. Three risk groups were devised based on weighted variables with a 5-year recurrence-free survival rate of 79% (95% CI 70-84), 57% (95% CI 50-64) and 37% (95% CI 26-48) in the low, intermediate and high risk groups, respectively. CONCLUSIONS: We constructed a user friendly prognostic risk model for patients with pT3N0 urothelial carcinoma of the bladder treated with radical cystectomy based on pT3 substage at radical cystectomy, lymphovascular invasion and margin status. These data warrant validation and may enable tailored monitoring and selection of appropriate patients for adjuvant therapy trials.

Prognostic risk stratification of pathological stage T2N0 bladder cancer after radical cystectomy.

OBJECTIVE: • To stratify risk of pathological (p) T2N0 urothelial carcinoma of the bladder after radical cystectomy (RC) based on pathological factors to facilitate the development of adjuvant therapy trials for high-risk patients. PATIENTS AND METHODS: • The study comprised 707 patients from a database of patients with pT2N0 urothelial carcinoma of the bladder who had undergone RC and not received perioperative chemotherapy. • The effect of residual pT-stage at RC, age, grade, lymphovascular invasion and number of lymph nodes removed on recurrence-free survival was evaluated using Cox regression analyses. A weighted prognostic model was devised with significant variables. RESULTS: • The median follow up was 60.9 months. In multivariable analyses, residual disease at RC (pT2a: hazard ratio (HR) 1.740, P = 0.03; for pT2b: HR 3.075, P < 0.001; both compared with

Disease-free survival at 2 or 3 years correlates with 5-year overall survival of patients undergoing radical cystectomy for muscle invasive bladder cancer.

PURPOSE: The conventional primary end point in trials of perioperative systemic therapy for muscle invasive bladder cancer is 5-year overall survival. We identified an association between disease-free survival at 2 to 3 years and 5-year overall survival. MATERIALS AND METHODS: We retrospectively analyzed a multicenter database containing records of 2,724 patients treated with radical cystectomy for muscle invasive bladder cancer with negative margins. Of these patients 844 had received adjuvant chemotherapy. We evaluated the association of disease-free survival at 2 and 3 years with overall survival at 5 years using Cox proportional hazards modeling and the kappa statistic. RESULTS: Overall 2-year/3-year disease-free survival was 0.63/0.57 and 5-year overall survival was 0.47. The overall agreement between 2-year disease-free survival and 5-year overall survival was 79%, and between 3-year disease-free survival and 5-year overall survival was 81%. Agreements were similar when analyzed within pathological substages, radical cystectomy decades and adjuvant chemotherapy subgroups. The kappa statistic was 0.57 (95% CI 0.53-0.60) for 2-year disease-free survival/5-year overall survival and 0.61 (95% CI 0.58-0.64) for 3-year disease-free survival/5-year overall survival, indicating moderate agreement. The hazard ratio for disease-free survival as a time dependent variable was 12.7 (95% CI 11.60-13.90), indicating a strong relationship between disease-free and overall survival. CONCLUSIONS: Disease-free survival rates at 2 and 3 years correlate with and are potential intermediate surrogates for 5-year overall survival in patients treated with radical cystectomy for muscle invasive bladder cancer regardless of adjuvant chemotherapy. These data warrant external validation and may expedite the development of adjuvant systemic therapy. In addition, they may be applicable to the neoadjuvant setting.

Characteristics and predictors of missed opportunities in lung cancer diagnosis: an electronic health record-based study.

PURPOSE: Understanding delays in cancer diagnosis requires detailed information about timely recognition and follow-up of signs and symptoms. This information has been difficult to ascertain from paper-based records. We used an integrated electronic health record (EHR) to identify characteristics and predictors of missed opportunities for earlier diagnosis of lung cancer. METHODS: Using a retrospective cohort design, we evaluated 587 patients of primary lung cancer at two tertiary care facilities. Two physicians independently reviewed each case, and disagreements were resolved by consensus. Type I missed opportunities were defined as failure to recognize predefined clinical clues (ie, no documented follow-up) within 7 days. Type II missed opportunities were defined as failure to complete a requested follow-up action within 30 days. RESULTS: Reviewers identified missed opportunities in 222 (37.8%) of 587 patients. Median time to diagnosis in cases with and without missed opportunities was 132 days and 19 days, respectively (P < .001). Abnormal chest x-ray was the clue most frequently associated with type I missed opportunities (62%). Follow-up on abnormal chest x-ray (odds ratio [OR], 2.07; 95% CI, 1.04 to 4.13) and completion of first needle biopsy (OR, 3.02; 95% CI, 1.76 to 5.18) were associated with type II missed opportunities. Patient adherence contributed to 44% of patients with missed opportunities. CONCLUSION: Preventable delays in lung cancer diagnosis arose mostly from failure to recognize documented abnormal imaging results and failure to complete key diagnostic procedures in a timely manner. Potential solutions include EHR-based strategies to improve recognition of abnormal imaging and track patients with suspected cancers.

Notification of abnormal lab test results in an electronic medical record: do any safety concerns remain?

BACKGROUND: Follow-up of abnormal outpatient laboratory test results is a major patient safety concern. Electronic medical records can potentially address this concern through automated notification. We examined whether automated notifications of abnormal laboratory results (alerts) in an integrated electronic medical record resulted in timely follow-up actions. METHODS: We studied 4 alerts: hemoglobin A1c > or =15%, positive hepatitis C antibody, prostate-specific antigen > or =15 ng/mL, and thyroid-stimulating hormone > or =15 mIU/L. An alert tracking system determined whether the alert was acknowledged (ie, provider clicked on and opened the message) within 2 weeks of transmission; acknowledged alerts were considered read. Within 30 days of result transmission, record review and provider contact determined follow-up actions (eg, patient contact, treatment). Multivariable logistic regression models analyzed predictors for lack of timely follow-up. RESULTS: Between May and December 2008, 78,158 tests (hemoglobin A1c, hepatitis C antibody, thyroid-stimulating hormone, and prostate-specific antigen) were performed, of which 1163 (1.48%) were transmitted as alerts; 10.2% of these (119/1163) were unacknowledged. Timely follow-up was lacking in 79 (6.8%), and was statistically not different for acknowledged and unacknowledged alerts (6.4% vs 10.1%; P =.13). Of 1163 alerts, 202 (17.4%) arose from unnecessarily ordered (redundant) tests. Alerts for a new versus known diagnosis were more likely to lack timely follow-up (odds ratio 7.35; 95% confidence interval, 4.16-12.97), whereas alerts related to redundant tests were less likely to lack timely follow-up (odds ratio 0.24; 95% confidence interval, 0.07-0.84). CONCLUSIONS: Safety concerns related to timely patient follow-up remain despite automated notification of non-life-threatening abnormal laboratory results in the outpatient setting.

Reliability and limitations of the durometer and PressureStat to measure plantar foot characteristics in Native Americans with diabetes.

Neuropathy with excessive weight-bearing activity may lead to foot changes that place it at risk for ulceration. Information about instruments to measure plantar skin hardness and pressures of the foot in adult Native Americans with diabetes is presented. Skin hardness was measured at 10 sites (plantar side of the hallux, third and fifth toes, first, third, and fifth metatarsal heads, medial and lateral midfoot, heel, and the dorsal aspect between the hallux and second toe) with a durometer. The PressureStat yielded data about barefoot, static pressures. The durometer was shown to be reliable (r = .62 to .91) at all sites of the foot except at the third and fifth toe, the medial midsection of both feet, and at the third metatarsal head and between the hallux and second toe, the dorsal aspect of the left foot. With four raters, concordance was found to be acceptable at the hallux, the third toe, the first, third, and fifth metatarsal heads and the heel (W = .61 to .86) for the PressureStat. Since most diabetic foot ulcers occur at the hallux, first, third, and fifth metatarsal heads, both the PressureStat and durometer may be reliable screening tools to determine the degree of risk.

Timely follow-up of abnormal diagnostic imaging test results in an outpatient setting: are electronic medical records achieving their potential?

BACKGROUND: Given the fragmentation of outpatient care, timely follow-up of abnormal diagnostic imaging results remains a challenge. We hypothesized that an electronic medical record (EMR) that facilitates the transmission and availability of critical imaging results through either automated notification (alerting) or direct access to the primary report would eliminate this problem. METHODS: We studied critical imaging alert notifications in the outpatient setting of a tertiary care Department of Veterans Affairs facility from November 2007 to June 2008. Tracking software determined whether the alert was acknowledged (ie, health care practitioner/provider [HCP] opened the message for viewing) within 2 weeks of transmission; acknowledged alerts were considered read. We reviewed medical records and contacted HCPs to determine timely follow-up actions (eg, ordering a follow-up test or consultation) within 4 weeks of transmission. Multivariable logistic regression models accounting for clustering effect by HCPs analyzed predictors for 2 outcomes: lack of acknowledgment and lack of timely follow-up. RESULTS: Of 123 638 studies (including radiographs, computed tomographic scans, ultrasonograms, magnetic resonance images, and mammograms), 1196 images (0.97%) generated alerts; 217 (18.1%) of these were unacknowledged. Alerts had a higher risk of being unacknowledged when the ordering HCPs were trainees (odds ratio [OR], 5.58; 95% confidence interval [CI], 2.86-10.89) and when dual-alert (>1 HCP alerted) as opposed to single-alert communication was used (OR, 2.02; 95% CI, 1.22-3.36). Timely follow-up was lacking in 92 (7.7% of all alerts) and was similar for acknowledged and unacknowledged alerts (7.3% vs 9.7%; P = .22). Risk for lack of timely follow-up was higher with dual-alert communication (OR, 1.99; 95% CI, 1.06-3.48) but lower when additional verbal communication was used by the radiologist (OR, 0.12; 95% CI, 0.04-0.38). Nearly all abnormal results lacking timely follow-up at 4 weeks were eventually found to have measurable clinical impact in terms of further diagnostic testing or treatment. CONCLUSIONS: Critical imaging results may not receive timely follow-up actions even when HCPs receive and read results in an advanced, integrated electronic medical record system. A multidisciplinary approach is needed to improve patient safety in this area.

Quality of depression care and its impact on health service use and mortality among veterans.

OBJECTIVE: Little is known about the effects of quality of depression care on patient outcomes other than depression status. This study examined Veterans Health Administration (VHA) data over a six-year period to determine whether quality of depression care was related to patients' health service use and mortality. METHODS: Using a national VHA database, the authors identified 205,165 veterans with a new-onset depressive disorder and at least one filled prescription for an antidepressant medication between October 1, 1999, and September 30, 2005. Quality of depression care was assessed with antidepressant medication possession ratios and adequacy of follow-up care (three or more depression-related visits during the 84 days after a depression diagnosis). Logistic regression modeling was used to predict inpatient service use and all-cause mortality. RESULTS: Of the cohort 48% received an adequate supply of antidepressant medication and 31% had three or more follow-up visits during the 84-day profiling period. Rates of adequate medication supply did not change over the six-year period, but there were improvements in adequate follow-up care over the study period (p=.03). Adequate follow-up depression care was associated with increased health service use and decreased likelihood of 12-month all-cause mortality. CONCLUSIONS: According to the quality indicators, less than half of patients with newly diagnosed depression received high-quality care. Notably, adequate follow-up care for depression was significantly related to reduction in odds of patient mortality at the 12-month follow-up. These findings suggest that quality of depression care may significantly affect patient outcomes, including mortality, and that further efforts to improve quality appear warranted.

Predictors of functional independence and stress level of stroke survivors at discharge from inpatient rehabilitation.

BACKGROUND AND RESEARCH OBJECTIVE: Stroke is the primary cause of long-term disability among older adults. This study identifies predictors of functional independence and perceived stress for stroke survivors discharged home from inpatient rehabilitation with a spousal caregiver. SUBJECTS AND METHODS: Stroke survivors (N = 97) were interviewed immediately after discharge to obtain scores on the National Institutes of Health Stroke Scale, Functional Independence Measure (FIM), Stroke Impact Scale, Geriatric Depression Scale-15, Perceived Stress Scale, and Perceived Health Status. Demographic and stroke-related data were abstracted from their inpatient rehabilitation charts. Descriptive and regression analyses determined the relationships among variables and the models that best predicted functional independence and perceived stress. RESULTS: Stroke survivors perceived a 50% recovery in their function upon discharge from inpatient rehabilitation. National Institutes of Health Stroke Scale, age, socioeconomic status, and number of complications predicted 63% of the variance of the total FIM score (F6,88 = 24.64; P < .0001). Total FIM, depression, and Stroke Impact Scale Emotion subscale predicted 45% of the Perceived Stress Scale score (F6,88 = 12.04; P < .0001). CONCLUSIONS: Variables that predict the stroke survivors' recovery are complex as the severity of the stroke combines with demographic and economic variables and depression to predict functional independence and perceived stress. These factors need to be considered when preparing a discharge plan for stroke survivors who are discharged home from rehabilitation.

Communication outcomes of critical imaging results in a computerized notification system.

OBJECTIVE: Communication of abnormal test results in the outpatient setting is prone to error. Using information technology can improve communication and improve patient safety. We standardized processes and procedures in a computerized test result notification system and examined their effectiveness to reduce errors in communication of abnormal imaging results. DESIGN: We prospectively analyzed outcomes of computerized notification of abnormal test results (alerts) that providers did not explicitly acknowledge receiving in the electronic medical record of an ambulatory multispecialty clinic. MEASUREMENTS: In the study period, 190,799 outpatient visits occurred and 20,680 outpatient imaging tests were performed. We tracked 1,017 transmitted alerts electronically. Using a taxonomy of communication errors, we focused on alerts in which errors in acknowledgment and reception occurred. Unacknowledged alerts were identified through electronic tracking. Among these, we performed chart reviews to determine any evidence of documented response, such as ordering a follow-up test or consultation. If no response was documented, we contacted providers by telephone to determine their awareness of the test results and any follow-up action they had taken. These processes confirmed the presence or absence of alert reception. RESULTS: Providers failed to acknowledge receipt of over one-third (368 of 1,017) of transmitted alerts. In 45 of these cases (4% of abnormal results), the imaging study was completely lost to follow-up 4 weeks after the date of study. Overall, 0.2% of outpatient imaging was lost to follow-up. The rate of lost to follow-up imaging was 0.02% per outpatient visit. CONCLUSION: Imaging results continue to be lost to follow-up in a computerized test result notification system that alerted physicians through the electronic medical record. Although comparison data from previous studies are limited, the rate of results lost to follow-up appears to be lower than that reported in systems that do not use information technology comparable to what we evaluated.

A quasi-experimental test of an intervention to increase the use of thiazide-based treatment regimens for people with hypertension.

BACKGROUND: Despite recent high-quality evidence for their cost-effectiveness, thiazides are underused for controlling hypertension. The goal of this study was to design and test a practice-based intervention aimed at increasing the use of thiazide-based antihypertensive regimens. METHODS: This quasi-experimental study was carried out in general medicine ambulatory practices of a large, academically-affiliated Veterans Affairs hospital. The intervention group consisted of the practitioners (13 staff and 215 trainees), nurses, and patients (3,502) of the teaching practice; non-randomized concurrent controls were the practitioners (31 providers) and patients (18,292) of the non-teaching practices. Design of the implementation intervention was based on Rogers' Diffusion of Innovations model. Over 10.5 months, intervention teams met weekly or biweekly and developed and disseminated informational materials among themselves and to trainees, patients, and administrators. These teams also reviewed summary electronic-medical-record data on thiazide use and blood pressure (BP) goal attainment. Outcome measures were the proportion of hypertensive patients prescribed a thiazide-based regimen, and the proportion of hypertensive patients attaining BP goals regardless of regimen. Thirty-three months of time-series data were available; statistical process control charts, change point analyses, and before-after analyses were used to estimate the intervention's effects. RESULTS: Baseline use of thiazides and rates of BP control were higher in the intervention group than controls. During the intervention, thiazide use and BP control increased in both groups, but changes occurred earlier in the intervention group, and primary change points were observed only in the intervention group. Overall, the pre-post intervention difference in proportion of patients prescribed thiazides was greater in intervention patients (0.091 vs. 0.058; p = 0.0092), as was the proportion achieving BP goals (0.092 vs. 0.044; p = 0.0005). At the end of the implementation period, 41.4% of intervention patients were prescribed thiazides vs. 30.6% of controls (p < 0.001); 51.6% of intervention patients had achieved BP goals vs. 44.3% of controls (p < 0.001). CONCLUSION: This multi-faceted intervention appears to have resulted in modest improvements in thiazide prescribing and BP control. The study also demonstrates the value of electronic medical records for implementation research, how Rogers' model can be used to design and launch an implementation strategy, and how all members of a clinical microsystem can be involved in an implementation effort.

Identifying diagnostic errors in primary care using an electronic screening algorithm.

BACKGROUND: Diagnostic errors are the leading basis for malpractice claims in primary care, yet these errors are underidentified and understudied. Computerized methods used to screen for other types of errors (eg, medication related) have not been applied to diagnostic errors. Our objectives were to assess the feasibility of computerized screening to identify diagnostic errors in primary care and to categorize diagnostic breakdowns using a recently published taxonomy. METHODS: We used an algorithm to screen the electronic medical records of patients at a single hospital that is part of a closed health care system. A Structured Query Language-based program detected the presence of 1 of 2 mutually exclusive electronic screening criteria: screen 1, a primary care visit (index visit) followed by a hospitalization in the next 10 days; or screen 2, an index visit followed by 1 or more primary care, urgent care, or emergency department visits within 10 days. Two independent, blinded reviewers determined the presence or absence of diagnostic error through medical record review of visits with positive and negative screening results. RESULTS: Among screen 1 and 2 positive visits, 16.1% and 9.4%, respectively, were associated with a diagnostic error. The error rate was 4% in control cases that met neither screening criterion. The most common primary errors in the diagnostic process were failure or delay in eliciting information and misinterpretation or suboptimal weighing of critical pieces of data from the history and physical examination. The most common secondary errors were suboptimal weighing or prioritizing of diagnostic probabilities and failure to recognize urgency of illness or its complications. CONCLUSIONS: Electronic screening has potential to identify records that may contain diagnostic errors in primary care, and its performance is comparable to screening tools for other types of errors. Future studies that validate these findings in other settings could provide improvement initiatives in this area.