Dataset Information

Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data.

ABSTRACT:

Background

Multiple testing procedures (MTP) are gaining increasing popularity in various fields of biostatistics, especially in statistical genetics. However, in injury surveillance research utilizing the growing amount and complexity of health-administrative data encoded in the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10), few studies involve MTP and discuss their applications and challenges.

Objective

We aimed to apply MTP in the population-wide context of comorbidity preceding traumatic brain injury (TBI), one of the most disabling injuries, to find a subset of comorbidity that can be targeted in primary injury prevention.

Methods

In total, 2,600 ICD-10 codes were used to assess the associations between TBI and comorbidity, with 235,003 TBI patients, on a matched data set of patients without TBI. McNemar tests were conducted on each 2,600 ICD-10 code, and appropriate multiple testing adjustments were applied using the Benjamini-Yekutieli procedure. To study the magnitude and direction of associations, odds ratios with 95% confidence intervals were constructed.

Results

Benjamini-Yekutieli procedure captured 684 ICD-10 codes, out of 2,600, as codes positively associated with a TBI event, reducing the effective number of codes for subsequent analysis and comprehension.

Conclusion

Our results illustrate the utility of MTP for data mining and dimension reduction in TBI research utilizing big health-administrative data to support injury surveillance research and generate ideas for injury prevention.

SUBMITTER: Jana S

PROVIDER: S-EPMC9563390 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data.

Jana Sayantee S Sutton Mitchell M Mollayeva Tatyana T Chan Vincy V Colantonio Angela A Escobar Michael David MD

Frontiers in big data 20220928

<h4>Background</h4>Multiple testing procedures (MTP) are gaining increasing popularity in various fields of biostatistics, especially in statistical genetics. However, in injury surveillance research utilizing the growing amount and complexity of health-administrative data encoded in the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10), few studies involve MTP and discuss their applications and challenges.<h4>Objective</h4>We aimed to apply ...[more]

PMID: 36247970

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Project description:Background Administrative hospital diagnostic coding data are increasingly used in "big data" research and to assess complication rates after surgery or acute medical conditions. Acute stroke is a common complication of several procedures/conditions, such as carotid interventions, but data are lacking on the sensitivity of administrative coding in identifying acute stroke during inpatient stay. Methods and Results Using all acute strokes ascertained in a population-based cohort (2002-2017) as the reference, we determined the sensitivity of hospital administrative diagnostic codes ( International Classification of Diseases, Tenth Revision; ICD-10) for identifying acute strokes that occurred during hospital admission for other reasons, stratified by coding strategies, study periods, and stroke severity (National Institutes of Health Stroke Score</≥5). Of 3011 acute strokes, 198 (6.6%) occurred during hospital admissions for procedures/other diseases, including 122 (61.6%) major strokes. Using stroke-specific codes ( ICD-10=I60-I61 and I63-I64) in the primary diagnostic position, 66 of the 198 cases were correctly identified (sensitivity for any stroke, 33.3%; 95% CI, 27.1-40.2; minor stroke, 30.3%; 95% CI, 21.0-41.5; major stroke, 35.2%; 95% CI, 27.2-44.2), with no improvement of sensitivity over time ( Ptrend=0.54). Sensitivity was lower during admissions for surgery/procedures than for other acute medical admissions (n/% 17/23.3% versus 49/39.2%; P=0.02). Sensitivity improved to 60.6% (53.6-67.2) for all and 61.6% (50.0-72.1) for surgery/procedures if other diagnostic positions were used, and to 65.2% (58.2-71.5) and 68.5% (56.9-78.1) respectively if combined with use of all possible nonspecific stroke-related codes (ie, adding ICD-10=I62 and I65-I68). Conclusions Low sensitivity of administrative coding in identifying acute strokes that occurred during admission does not support its use alone for audit of complication rates of procedures or hospitalization for other reasons.

Project description:ImportanceAdministrative harm (AH), defined as the adverse consequences of administrative decisions within health care that impact work structure, processes, and programs, is pervasive in medicine, yet poorly understood and described.ObjectiveTo explore common AHs experienced by hospitalist clinicians and administrative leaders, understand the challenges that exist in identifying and measuring AH, and identify potential approaches to mitigate AH.Design, setting, and participantsA qualitative study using a mixed-methods approach with a 12-question survey and semistructured virtual focus groups was held on June 13 and August 11, 2023. Rapid qualitative methods including templated summaries and matrix analysis were applied. The participants included 2 consortiums comprising hospitalist clinicians, researchers, administrative leaders, and members of a patient and family advisory council.Main outcomes and measuresQuantitative data from the survey on specific aspects of experiences related to AH were collected. Focus groups were conducted using a semistructured focus group guide. Themes and subthemes were identified.ResultsForty-one individuals from 32 different organizations participated in the focus groups, with 32 participants (78%) responding to a brief survey. Survey participants included physicians (91%), administrative professionals (6%), an advanced practice clinician (3%), and those in leadership roles (44%), with participants able to select more than one role. Only 6% of participants were familiar with the term administrative harm to a great extent, 100% felt that collaboration between administrators and clinicians is crucial for reducing AH, and 81% had personally participated in a decision that led to AH to some degree. Three main themes were identified: (1) AH is pervasive and comes from all levels of leadership, and the phenomenon was felt to be widespread and arose from multiple sources within health care systems; (2) organizations lack mechanisms for identification, measurement, and feedback, and these challenges stem from a lack of psychological safety, workplace cultures, and ambiguity in who owns a decision; and (3) organizational pressures were recognized as contributors to AHs. Many ideas were proposed as solutions.Conclusions and relevanceThe findings of this study suggest that AH is widespread with wide-reaching impact, yet organizations do not have mechanisms to identify or address it.

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Dataset Information

Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data.

Background

Objective

Methods

Results

Conclusion

Publications

Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data.

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