Evidence map›Paper›PMID 36545529›Full record

ArticleArchives of rehabilitation research and clinical translation2022

Modernization of a Large Spinal Cord Injuries and Disorders Registry: The Veterans Administration Experience.

Jennifer L Sippel, Jennifer E Daly, Linda Poggensee, Kim D Ristau, Adam C Eberhart, Katharine Tam, Charlesnika T Evans, Betsy Lancaster, I Manosha Wickremasinghe, Stephen P Burns and 2 more

Abstract read
In one paragraph

Article in Archives of rehabilitation research and clinical translation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jennifer L SippelSpinal Cord Injuries & Disorders National Program Office (11 SCID), Veterans Health Administration, United States Department of Veterans Affairs, Washington, DC.
Jennifer E DalySpinal Cord Injuries & Disorders National Program Office (11 SCID), Veterans Health Administration, United States Department of Veterans Affairs, Washington, DC.
Linda PoggenseeDepartment of Veterans Affairs, Center of Innovation for Complex Chronic Health Care (CINCCH), Edward Hines Junior Hospital, Hines, IL.
Kim D RistauVHA Support Service Center (VSSC), Office of Analytics and Performance, Veterans Health Administration, Department of Veterans Affairs, Washington, DC.
Adam C EberhartSpinal Cord Injuries & Disorders National Program Office (11 SCID), Veterans Health Administration, United States Department of Veterans Affairs, Washington, DC.
Katharine TamSpinal Cord Injury Service, John J. Cochran Veterans Hospital, Saint Louis, MO 63106.
Charlesnika T EvansDepartment of Veterans Affairs, Center of Innovation for Complex Chronic Health Care (CINCCH), Edward Hines Junior Hospital, Hines, IL.
Betsy LancasterVHA Support Service Center (VSSC), Office of Analytics and Performance, Veterans Health Administration, Department of Veterans Affairs, Washington, DC.
I Manosha WickremasingheSpinal Cord Injuries & Disorders National Program Office (11 SCID), Veterans Health Administration, United States Department of Veterans Affairs, Washington, DC.
Stephen P BurnsSpinal Cord Injury Service, VA Puget Sound Health Care System, Seattle, WA.
Barry GoldsteinSpinal Cord Injuries & Disorders National Program Office (11 SCID), Veterans Health Administration, United States Department of Veterans Affairs, Washington, DC.
Bridget M SmithDepartment of Veterans Affairs, Center of Innovation for Complex Chronic Health Care (CINCCH), Edward Hines Junior Hospital, Hines, IL.

Funding

HSRD VA IK6 HX003156
6 · The paper itself

Abstract

Since the 1990s, Veterans Health Administration (VHA) has maintained a registry of Veterans with Spinal Cord Injuries and Disorders (SCI/Ds) to guide clinical care, policy, and research. Historically, methods for collecting and recording data for the VHA SCI/D Registry (VSR) have required significant time, cost, and staffing to maintain, were susceptible to missing data, and caused delays in aggregation and reporting. Each subsequent data collection method was aimed at improving these issues over the last several decades. This paper describes the development and validation of a case-finding and data-capture algorithm that uses primary clinical data, including diagnoses and utilization across 9 million VHA electronic medical records, to create a comprehensive registry of living and deceased Veterans seen for SCI/D services since 2012. A multi-step process was used to develop and validate a computer algorithm to create a comprehensive registry of Veterans with SCI/D whose records are maintained in the enterprise wide VHA Corporate Data Warehouse. Chart reviews and validity checks were used to validate the accuracy of cases that were identified using the new algorithm. An initial cohort of 28,202 living and deceased Veterans with SCI/D who were enrolled in VHA care from 10/1/2012 through 9/30/2017 was validated. Tables, reports, and charts using VSR data were developed to provide operational tools to study, predict, and improve targeted management and care for Veterans with SCI/Ds. The modernized VSR includes data on diagnoses, qualifying fiscal year, recent utilization, demographics, injury, and impairment for 38,022 Veterans as of 11/2/2022. This establishes the VSR as one of the largest ongoing longitudinal SCI/D datasets in North America and provides operational reports for VHA population health management and evidence-based rehabilitation. The VSR also comprises one of the only registries for individuals with non-traumatic SCI/Ds and holds potential to advance research and treatment for multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), and other motor neuron disorders with spinal cord involvement. Selected trends in VSR data indicate possible differences in the future lifelong care needs of Veterans with SCI/Ds. Future collaborative research using the VSR offers opportunities to contribute to knowledge and improve health care for people living with SCI/Ds.

Indexed as

ALS, amyotrophic lateral sclerosisAmyotrophic lateral sclerosisARC, Allocation Resource CenterASIA, American Spinal Injury Association Impairment ScaleBI, Business IntelligenceBig dataCDW, Corporate Data WarehouseCPRS, computerized patient record systemElectronic health recordsEMR, electronic medical recordGUI, graphical user interfaceMedical informaticsMIO, Management of Information & OutcomesMotor neuron diseaseMS, multiple sclerosisMultiple sclerosisPopulation healthPopulation health managementRegistriesRehabilitationRHSCIR, Rick Hansen Spinal Cord Injury RegistrySCD, spinal cord dysfunctionSCIDO, Spinal Cord Injury and Disorders OutcomesSCI/D, Spinal Cord Injuries and DisordersSCIMS, Spinal Cord Injury Model SystemsSME, subject matter expertSpinal cord injuriesUnited StatesVeteransVHA, Veterans Health AdministrationVistA, Veteran Health Information Systems and Technology ArchitectureVSR, VHA SCI/D RegistryVSSC, VHA Service Support CenterWOC, Without Compensation

Identifiers

PMID36545529
PMCPMC9761267

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.