Banafsheh Sadeghi

Effectiveness of remote patient monitoring after discharge of hospitalized patients with heart failure the better effectiveness after transition-heart failure (BEAT-HF) randomized clinical trial

IMPORTANCE It remains unclear whether telemonitoring approaches provide benefits for patients with heart failure (HF) after hospitalization. OBJECTIVE To evaluate the effectiveness of a care transition intervention using remote patient monitoring in reducing 180-day all-cause readmissions among a broad population of older adults hospitalized with HF. DESIGN, SETTING, AND PARTICIPANTS We randomized 1437 patients hospitalized for HF between October 12, 2011, and September 30, 2013, to the intervention arm (715 patients) or to the usual care arm (722 patients) of the Better Effectiveness After Transition-Heart Failure (BEAT-HF) study and observed them for 180 days. The dates of our study analysis were March 30, 2014, to October 1, 2015. The setting was 6 academic medical centers in California. Participants were hospitalized individuals 50 years or older who received active treatment for decompensated HF. INTERVENTIONS The intervention combined health coaching telephone calls and telemonitoring. Telemonitoring used electronic equipment that collected daily information about blood pressure, heart rate, symptoms, and weight. Centralized registered nurses conducted telemonitoring reviews, protocolized actions, and telephone calls. MAIN OUTCOMES AND MEASURES The primary outcome was readmission for any cause within 180 days after discharge. Secondary outcomes were all-cause readmission within 30 days, all-cause mortality at 30 and 180 days, and quality of life at 30 and 180 days. RESULTS Among 1437 participants, the median age was 73 years. Overall, 46.2% (664 of 1437) were female, and 22.0% (316 of 1437) were African American. The intervention and usual care groups did not differ significantly in readmissions for any cause 180 days after discharge, which occurred in 50.8% (363 of 715) and 49.2% (355 of 722) of patients, respectively (adjusted hazard ratio, 1.03; 95% CI, 0.88-1.20; P = .74). In secondary analyses, there were no significant differences in 30-day readmission or 180-day mortality, but there was a significant difference in 180-day quality of life between the intervention and usual care groups. No adverse events were reported. CONCLUSIONS AND RELEVANCE Among patients hospitalized for HF, combined health coaching telephone calls and telemonitoring did not reduce 180-day readmissions. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01360203.

Evaluation of the predictive value of ICD-9-CM coded administrative data for venous thromboembolism in the United States

OBJECTIVE To determine the positive predictive value of International Classification of Disease, 9th Revision, Clinical Modification (ICD-9-CM) discharge codes for acute deep vein thrombosis or pulmonary embolism. MATERIALS AND METHODS Retrospective review of 3456 cases hospitalized between 2005 and 2007 that had a discharge code for venous thromboembolism, using 3 sample populations: a single academic hospital, 33 University HealthSystem Consortium hospitals, and 35 community hospitals in a national Joint Commission study. Analysis was stratified by position of the code in the principal versus a secondary position. RESULTS Among 1096 cases that had a thromboembolism code in the principal position the positive predictive value for any acute venous thrombosis was 95% (95%CI:93-97), whereas among 2360 cases that had a thromboembolism code in a secondary position the predictive value was lower, 75% (95%CI:71-80). The corresponding positive predictive values for lower extremity deep-vein thrombosis or pulmonary embolism were 91% (95%CI:86-95) and 50% (95%CI:41-58), respectively. More highly defined codes had higher predictive value. Among codes in a secondary position that were false positive, 22% (95%CI:16-27) had chronic/prior venous thrombosis, 15% (95%CI:10-19) had an upper extremity thrombosis, 6% (95%CI:4-8) had a superficial vein thrombosis, and 7% (95%CI:4-13) had no mention of any thrombosis. CONCLUSIONS ICD-9-CM codes for venous thromboembolism had high predictive value when present in the principal position, and lower predictive value when in a secondary position. New thromboembolism codes that were added in 2009 that specify chronic thrombosis, upper extremity thrombosis and superficial venous thrombosis should reduce the frequency of false-positive thromboembolism codes.

How valid is the ICD-9-CM based AHRQ patient safety indicator for postoperative venous thromboembolism?

Background:Hospital administrative data are being used to identify patients with postoperative venous thromboembolism (VTE), either pulmonary embolism (PE) or deep-vein thrombosis (DVT). However, few studies have evaluated the accuracy of these ICD-9-CM codes across multiple hospitals. Methods and Materials:The Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicator (PSI)-12 was used to identify cases with postoperative VTE in 80 hospitals that volunteered for either an AHRQ or University HealthSystem Consortium (UHC) validation project. Trained abstractors using a standardized tool and guidelines retrospectively verified all coded VTE events. Results:In the combined samples, the positive predictive value of the set of prespecified VTE codes for any acute VTE at any time during the hospitalization was 451 of 573 = 79% (95% CI: 75%–82%). However, the positive predictive value for acute lower extremity DVT or PE diagnosed after an operation was 209 of 452 = 44% (95% CI: 37%–51%) in the UHC sample and 58 of 121 = 48% (95% CI: 42–67%) in the AHRQ sample. Fourteen percent of all cases had an acute upper extremity DVT, 6% had superficial vein thrombosis and 21% had no acute VTE, however, 61% of the latter had a documented prior/chronic VTE. In the UHC cohort, the sensitivity for any acute VTE was 95.5% (95% CI: 86.4%–100%); the specificity was 99.5% (95% CI: 99.4%–99.7%). Conclusion:Current PSI 12 criteria do not accurately identify patients with acute postoperative lower extremity DVT or PE. Modification of the ICD-9-CM codes and implementation of “present on admission” flags should improve the predictive value for clinically important VTE events.

Positive predictive value of the AHRQ accidental puncture or laceration patient safety indicator.

Objective:Patient Safety Indicator (PSI) 15, or “Accidental Puncture or Laceration” (APL), of the US Agency for Healthcare Research and Quality was recently endorsed as a consensus standard for quality of care by the National Quality Forum. We sought to determine the positive predictive value (PPV) of this indicator. Methods:We conducted a retrospective cross-sectional study of hospitalization records that met PSI 15 criteria. We sampled cases from 32 geographically diverse hospitals, including both teaching and nonteaching hospitals, between October 1, 2005 and March 31, 2007. Trained abstractors from each center reviewed randomly sampled medical records, using a standard instrument. We determined the PPV of the indicator and conducted descriptive analyses of the cases. Results:Of the 249 cases that met PSI 15 criteria, 226 (91%; 95% CI: 88%–94%) represented true APL. Fifty-six of the true APL cases (24%) represented injuries that generally would be expected to heal without repair, yielding, from the standpoint of clinical relevance, a PPV of 68% (95% CI: 62%–74%). True positive cases that would typically warrant repair (n=170) were most likely to involve the gastrointestinal tract (30%), bladder (25%), dura (19%), or an important blood vessel (16%). In 97 of the true APL cases (43%), adhesions or other scar tissue were thought to have contributed to the complication. The 23 false-positive cases involved no apparent event other than normal operative conduct (n=7), a complication other than APL (bleeding, infection, dislodgement of a gastrostomy tube, or fracture) (7), an APL present on admission (5), or a disease-related lesion (4). Conclusions:Although PSI 15 is highly predictive of APL from a coding perspective, the indicator is less predictive of APL that could be considered clinically important. A significant proportion of cases represent relatively inconsequential injuries or injuries for which the risk may have been acceptable relative to the goals of the procedure.

Niños Sanos, Familia Sana: Mexican immigrant study protocol for a multifaceted CBPR intervention to combat childhood obesity in two rural California towns

BackgroundOverweight and obese children are likely to develop serious health problems. Among children in the U.S., Latino children are affected disproportionally by the obesity epidemic. Niños Sanos, Familia Sana (Healthy Children, Healthy Family) is a five-year, multi-faceted intervention study to decrease the rate of BMI growth in Mexican origin children in California’s Central Valley. This paper describes the methodology applied to develop and launch the study.Methods/DesignInvestigators use a community-based participatory research approach to develop a quasi-experimental intervention consisting of four main components including nutrition, physical activity, economic and art-community engagement. Each component’s definition, method of delivery, data collection and evaluation are described. Strategies to maintain engagement of the comparison community are reported as well.DiscussionWe present a study methodology for an obesity prevention intervention in communities with unique environmental conditions due to rural and isolated location, limited infrastructure capacity and limited resources. This combined with numerous cultural considerations and an unstable population with limited exposure to researcher expectations necessitates reassessment and adaptation of recruitment strategies, intervention delivery and data collection methods. Trial registration # NCT01900613.Trial registrationNCT01900613.

Positive predictive value of the Agency for Healthcare Research and Quality Patient Safety Indicator for central line-related bloodstream infection ("selected infections due to medical care").

&NA; As part of the Agency for Healthcare Research and Quality Patient Safety Indicator (PSI) Validation Pilot Project, we evaluated the criterion validity of PSI 7. At the time of this study, PSI 7 was entitled “Selected Infections Due to Medical Care” and targeted catheter–related infections and inflammatory reactions. We conducted a retrospective cross–sectional study of 23 volunteer U.S. hospitals, where trained abstractors reviewed a sample of records that met PSI 7 criteria from October 1, 2005 to March 31, 2007. Of the 191 cases that met PSI 7 criteria, 104 (positive predictive value = 54%, 95% confidence interval: 40–69%) represented true infections. Of these cases, 77 (74%) were associated with central venous catheters, 15 (15%) were associated with peripheral intravenous (n=13) and or or arterial catheters (n=6), and 12 (11%) were associated with unknown catheters. Of the 87 (46%) false–positive cases, 41 (47%) did not have a qualifying infection identified by the abstractor, 38 (44%) had an infection present on admission, and 8 (9%) had an exclusionary diagnosis. PSI 7 has a low positive predictive value compared with other PSIs recently studied. Present on admission diagnoses and improved coding for infections related to central venous catheters (implemented October 2007) may improve validity.

Cases of iatrogenic pneumothorax can be identified from ICD-9-CM coded data.

Hospital administrative data are being used to identify hospitals with hospital-acquired complications such as iatrogenic pneumothorax. This was a retrospective cross-sectional study of hospitalization records to estimate the positive predictive value (PPV) of the Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicator for iatrogenic pneumothorax. A probability sample of inpatient medical records from 2006 to 2007 was reviewed in a national sample of 28 volunteer hospitals. Among the 200 flagged cases, the PPV was 78% (95% confidence interval = 73%-82%). False positive cases were mostly a result of exclusionary conditions (11%) and pneumothoraxes that were present on admission (7%). About 44% of events followed attempted central venous catheter (CVC) placement. Of the 69 CVCassociated events, only 5 occurred with ultrasound guidance. AHRQ’s iatrogenic pneumothorax indicator can serve in quality of care improvement. At least 1725 hospital-acquired pneumothoraxes could have been prevented in 2004 through universal use of ultrasound guidance during internal jugular cannulation.

Improved coding of postoperative deep vein thrombosis and pulmonary embolism in administrative data (AHRQ patient safety indicator 12) after introduction of new ICD-9-CM diagnosis codes

Background:Symptomatic venous thromboembolism is a common postoperative complication. The Agency for Healthcare Research and Quality (AHRQ) has developed a Patient Safety Indicator 12 to assist hospitals, payers, and other stakeholders to identify patients who experienced this complication. Objectives:To determine whether newly created and recently redefined ICD-9-CM codes improved the criterion validity of Patient Safety Indicator 12, based on new samples of records dated after October 2009. Research Design, Subjects, Measures:Two sources of data were used: (1) UHC retrospective case-control study of risk factors for acute symptomatic venous thromboembolism occurring within 90 days after total knee arthroplasty in teaching hospitals; (2) chart abstraction data by volunteer hospitals participating in the Validation Pilot Project of the AHRQ. Results:In the UHC sample, the positive predictive value (PPV) was 99% (125/126) and the negative predictive value was 99.4% (460/463). In the AHRQ sample, the overall PPV was 81% (126/156). Conclusions:The PPV based on both samples shows substantial improvement compared with the previously reported PPVs of 43%–48%, suggesting that changes in ICD-9-CM code architecture and better coding guidance can improve the usefulness of coded data.

Using the Agency for Healthcare Research and Quality patient safety indicators for targeting nursing quality improvement.

Quantifying the critical impact nurses have on the prevention and early recognition of potential complications and adverse events, such as those identified by the Agency for Healthcare Research and Quality (AHRQ) patient safety indicators (PSI), is becoming increasingly important. In this paper, we describe how the AHRQ PSI may be used to identify nursing-specific opportunities to improve care based on data from the national AHRQ PSI validation pilot project.

Designing an Abstraction Instrument: Lessons from Efforts to Validate the AHRQ Patient Safety Indicators

BACKGROUND The U.S. Agency for Healthcare Research and Quality (AHRQ) and other organizations have developed quality indicators based on hospital administrative data. Characteristics of effective abstraction instruments were identified for determining both the positive predictive value (PPV) of Patient Safety Indicators (PSIs) and the extent to which hospitals and clinicians could have prevented adverse events. METHODS Through an iterative process involving nurse abstractors, physicians, and nurses with quality improvement experience, and health services researchers, 25 abstraction instruments were designed for 12 AHRQ provider-level morbidity PSIs. Data were analyzed from 13 of these instruments, and data are being collected using several more. FINDINGS Common problems in designing the instruments included avoiding uninformative questions and premature termination of the abstraction process, anticipating misinterpretation of questions, allowing an appropriate range of response options; using clear terminology, optimizing the flow of the abstraction process, balancing the utility of data against abstractor burden, and recognizing the needs of end users, such as hospitals and quality improvement professionals and researchers, for the abstracted information. CONCLUSIONS Designing medical record abstraction instruments for quality improvement research involves several potential pitfalls. Understanding how we addressed these challenges might help both investigators and users of outcome indicators to appreciate the strengths and limitations of outcome-based quality indicators and tools designed to validate or investigate such indicators within provider organizations.