Accuracy of ICD-10 codes for identifying skilled nursing facility residents with lab-confirmed COVID-19.
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ABSTRACT:
SUBMITTER: Santostefano CM
PROVIDER: S-EPMC8447421 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
Publications
Accuracy of ICD-10 codes for identifying skilled nursing facility residents with lab-confirmed COVID-19.
Santostefano Christopher M CM White Elizabeth M EM Feifer Richard A RA Mor Vincent V
Journal of the American Geriatrics Society 20210816 12
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Project description:ObjectiveTo describe the frequency and timing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody detection in a convenience sample of skilled nursing facility (SNF) residents with and without confirmed SARS-CoV-2 infection.DesignRetrospective analysis of SNF electronic health records.SettingQualitative SARS-CoV-2 antibody test results were available from 81 SNFs in 16 states.ParticipantsSix hundred and sixty nine SNF residents who underwent both polymerase chain reaction (PCR) and antibody testing for SARS-CoV-2.MeasurementsPresence of SARS-CoV-2 antibodies following the first positive PCR test for confirmed cases, or first PCR test for non-cases.ResultsAmong 397 residents with PCR-confirmed infection, antibodies were detected in 4 of 7 (57.1%) tested within 7-14 days of their first positive PCR test; in 44 of 47 (93.6%) tested within 15-30 days; in 182 of 219 (83.1%) tested within 31-60 days; and in 110 of 124 (88.7%) tested after 60 days. Among 272 PCR negative residents, antibodies were detected in 2 of 9 (22.2%) tested within 7-14 days of their first PCR test; in 41 of 81 (50.6%) tested within 15-30 days; in 65 of 148 (43.9%) tested within 31-60 days; and in 9 of 34 (26.5%) tested after 60 days. No significant differences in baseline resident characteristics or symptoms were observed between those with versus without antibodies.ConclusionsThese findings suggest that vulnerable older adults can mount an antibody response to SARS-CoV-2, and that antibodies are most likely to be detected within 15-30 days of diagnosis. That antibodies were detected in a large proportion of residents with no confirmed SARS-CoV-2 infection highlights the complexity of identifying who is infected in real time. Frequent surveillance and diagnostic testing based on low thresholds of clinical suspicion for symptoms and/or exposure will remain critical to inform strategies designed to mitigate outbreaks in SNFs while community SARS-CoV-2 prevalence remains high.
| S-EPMC8013911 | biostudies-literature
Project description: Not available
| S-EPMC11301553 | biostudies-literature
Project description:ObjectivesTo derive a risk prediction score for potential adverse outcomes in older adults transitioning to a skilled nursing facility (SNF) from the hospital.DesignRetrospective analysis.SettingMedicare Current Beneficiary Survey (2003-11).ParticipantsPreviously community-dwelling Medicare beneficiaries who were hospitalized and discharged to SNF for postacute care (N=2,043).MeasurementsRisk factors included demographic characteristics, comorbidities, health status, hospital length of stay, prior SNF stays, SNF size and ownership, treatments received, physical function, and active signs or symptoms at time of SNF admission. The primary outcome was a composite of undesirable outcomes from the patient perspective, including hospital readmission during the SNF stay, long SNF stay (≥100 days), and death during the SNF stay.ResultsOf the 2,043 previously community-dwelling beneficiaries hospitalized and discharged to a SNF for post-acute care, 589 (28.8%) experienced one of the three outcomes, with readmission (19.4%) most common, followed by mortality (10.5%) and long SNF stay (3.5%). A risk score including 5 factors (Barthel Index, Charlson-Deyo comorbidity score, hospital length of stay, heart failure diagnosis, presence of an indwelling catheter) demonstrated very good discrimination (C-statistic=0.75), accuracy (Brier score=0.17), and calibration for observed and expected events.ConclusionOlder adults frequently experience potentially adverse outcomes in transitions to a SNF from the hospital; this novel score could be used to better match resources with patient risk.
| S-EPMC5992035 | biostudies-literature
Project description:Failure to reconcile medications across transitions in care is an important source of harm to patients. Little is known about medication discrepancies upon admission to skilled nursing facilities (SNFs).To describe the prevalence of, type of medications involved in, and sources of medication discrepancies upon admission to the SNF setting.Cross-sectional study.Patients admitted to SNF for subacute care.Number of medication discrepancies, defined as unexplained differences among documented medication regimens, including the hospital discharge summary, patient care referral form and SNF admission orders.Of 2,319 medications reviewed on admission, 495 (21.3%) had a medication discrepancy. At least one medication discrepancy was identified in 142 of 199 (71.4%) SNF admissions. The discharge summary and the patient care referral form did not match in 104 of 199 (52.3%) SNF admissions. Disagreement between the discharge summary and the patient care referral form accounted for 62.0% (n = 307) of all medication discrepancies. Cardiovascular agents, opioid analgesics, neuropsychiatric agents, hypoglycemics, antibiotics, and anticoagulants accounted for over 50% of all discrepant medications.Medication discrepancies occurred in almost three out of four SNF admissions and accounted for one in five medications prescribed on admission. The discharge summary and the patient care referral forms from the discharging institution are often in disagreement. Our study findings underscore the importance of current efforts to improve the quality of inter-institutional communication.
| S-EPMC2669872 | biostudies-other
Project description:ObjectivesThis study aimed to characterize the distribution of acute care visits among Medicare beneficiaries receiving skilled nursing facility (SNF) services.MethodsWe conducted a cross-sectional analysis of a 20% sample of continuously enrolled Medicare beneficiaries in the 2012 Chronic Condition Warehouse data set. Beneficiaries were grouped by the number of days of SNF services, and acute care visits were categorized as "before SNF," "during SNF," or "after SNF."ResultsAmong the 10,717,786 Medicare beneficiaries analyzed, 384,312 (3.6%) had at least one SNF stay.DiscussionBeneficiaries who received SNF services had a higher proportion of acute care visits made to emergency departments (EDs) than beneficiaries who did not receive SNF services. Also, a higher proportion of acute care visits were made to EDs by beneficiaries after a SNF stay in comparison to residents actively residing in a SNF. The acute care capabilities of SNFs and post-SNF transitions of care to the community setting are discussed.
| S-EPMC7904961 | biostudies-literature
Project description: Not available
| S-EPMC10933440 | biostudies-literature
Project description:PurposeWe aimed to analyze regional variations in the assignment of International Classification of Diseases, 10th Revision (ICD-10) codes to acute respiratory infections, seeking to identify notable anomalies that suggest diverse diagnoses of the same condition.MethodsWe analyzed national weekly diagnosis data for acute respiratory infections (ICD-10 codes J00-J22) in Poland from 2010 to 2019, covering all 380 county-equivalent administrative regions and encompassing 292 million consultations. Data were aggregated into age brackets. We calculated the Kendall tau correlations between shares of particular diagnoses.ResultsWe found staggering differences across regions in applied diagnoses that persisted even after disaggregating the data into age groups. The differences did not seem to stem from different levels of health care use, as there was no consistent pattern suggesting variability in milder diagnoses. Instead, there were numerous pairs of strongly negatively correlated codes implying classification ambiguity, with the most problematic diagnosis being J06 (acute upper respiratory infections of multiple and unspecified sites), which was used almost interchangeably with a diverse range of others, especially J00 (common cold) and J20 (bronchitis).ConclusionsTo the best of our knowledge, this is the first study using observable anomalies to analyze regional coding variability for the same respiratory infection. Although some of these discrepancies may raise concerns about misdiagnosis, the majority of cases involving interchangeably used codes did not seem to substantially impact treatment or prognosis. This suggests that ICD codes may have clinical ambiguities and could face challenges not only in fulfilling their intended purpose of generating internationally comparable health data but also in their use for comprehensive government health planning.
| S-EPMC11772040 | biostudies-literature
Project description:BackgroundSkilled nursing facilities (SNFs) are high-risk settings for SARS-CoV-2 transmission. Infection rates among employees are infrequently described.ObjectiveTo describe SARS-CoV-2 rates among SNF employees and residents during a non-outbreak time period, we measured cross-sectional SARS-CoV-2 prevalence across multiple sites in the Seattle area.DesignSARS-CoV-2 testing was performed for SNF employees and residents using quantitative real-time reverse transcription polymerase chain reaction. A subset of employees completed a sociodemographic and symptom questionnaire.ParticipantsBetween March 29 and May 13, 2020, we tested 1583 employees and 1208 residents at 16 SNFs for SARS-CoV-2.Main measureSARS-CoV-2 testing results and symptom report among employees and residents.Key resultsEleven of the 16 SNFs had one or more resident or employee test positive. Overall, 46 (2.9%) employees had positive or inconclusive testing for SARS-CoV-2, and among those who completed surveys, most were asymptomatic and involved in direct patient care. The majority of employees tested were female (934, 73%), and most employees were Asian (392, 30%), Black (360, 28%), or white (360, 28%). Among the 1208 residents tested, 110 (9.1%) had positive or inconclusive results. There was no association between the presence of positive residents and positive employees within a SNF (p = 0.62, McNemar's test).ConclusionsIn the largest study of SNFs to date, SARS-CoV-2 infections were detected among both employees and residents. Employees testing positive were often asymptomatic and involved in direct patient care. Surveillance testing is needed for SNF employees and residents during the pandemic response.
| S-EPMC7462112 | biostudies-literature
Project description:BackgroundThe ICD-10 codes are used globally for comparison of diagnoses and complications, and are an important tool for the development of patient safety, healthcare policies and the health economy. The aim of this study was to investigate the accuracy of verified complication rates in surgical admissions identified by ICD-10 codes and to validate these estimates against complications identified using the established Global Trigger Tool (GTT) methodology.MethodsThis was a prospective observational study of a sample of surgical admissions in two Norwegian hospitals. Complications were identified and classified by two expert GTT teams who reviewed patients' medical records. Three trained reviewers verified ICD-10 codes indicating a complication present on admission or emerging in hospital.ResultsA total of 700 admissions were drawn randomly from 12 966 procedures. Some 519 possible complications were identified in 332 of 700 admissions (47·4 per cent) from ICD-10 codes. Verification of the ICD-10 codes against information from patients' medical records confirmed 298 as in-hospital complications in 141 of 700 admissions (20·1 per cent). Using GTT methodology, 331 complications were found in 212 of 700 admissions (30·3 per cent). Agreement between the two methods reached 83·3 per cent after verification of ICD-10 codes. The odds ratio for identifying complications using the GTT increased from 5·85 (95 per cent c.i. 4·06 to 8·44) to 25·38 (15·41 to 41·79) when ICD-10 complication codes were verified against patients' medical records.ConclusionVerified ICD-10 codes strengthen the accuracy of complication rates. Use of non-verified complication codes from administrative systems significantly overestimates in-hospital surgical complication rates.
| S-EPMC6519147 | biostudies-literature
Project description:Background and purposeInability to obtain sufficient gains in function during a skilled nursing facility (SNF) stay impacts patients' functional trajectories and susceptibility to adverse events. The purpose of this study was to identify predictors of functional change in patients temporarily residing in an SNF following hospitalization.MethodsOne hundred forty patients admitted to a single SNF from the hospital who had both evaluation and discharge measures of physical function documented were included. Data from the Minimum Data Set 3.0 and electronic medical record were extracted to record clinical and demographic characteristics. The Short Physical Performance Battery (SPPB) was administered by rehabilitation therapists at evaluation and discharge. The SPPB consists of balance tests, gait speed, and a timed 5-time sit-to-stand test.Results and discussionThe Patient Health Questionnaire (PHQ-9) Screening Tool for Depression was the only significant predictor of change in gait speed over an SNF stay. Eighty-seven percent of patients achieved a clinically meaningful change in the SPPB of 1 point or greater from evaluation to discharge, with 78% demonstrating a clinically meaningful change of 0.1 m/s or greater on gait speed. However, 69% of patients demonstrated SPPB scores of 6 points or less and 57% ambulated less than 0.65 m/s at the time of discharge from the SNF, which indicates severe disability.ConclusionsPoor physical function following an SNF stay places older adult at significant risk for adverse events including rehospitalization, future disability, and institutionalization. Understanding the predictors of functional change from evaluation to discharge may direct efforts toward developing innovative and effective interventions to improve function trajectories for older adults following an acute hospitalization.
| S-EPMC5740023 | biostudies-literature