Evidence map›Paper›PMID 39514492›Full record

ArticleMedical care2024

Cultural Transformation of the International Statistical Classification of Diseases and Related Health Problems' Guidelines Needed to Effectively Measure Well-Being.

Dina Hooshyar, Maria Bruton

Abstract read
In one paragraph

Article in Medical care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Dina HooshyarU.S. Department of Veterans Affairs National Center on Homelessness among Veterans, Washington, DC.
Maria BrutonHealth Information Management Service, VA North Texas Health Care System, Dallas, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cultural transformation is underway at the Veterans Health Administration and other health care systems to address the well-being of the whole person and not just their disease states. A part of this evolution is to develop a measurement paradigm because the existing ones are generally disease-specific; however, the International Statistical Classification of Diseases and Related Health Problems (ICD)-10th Revision-Clinical Modification does include codes for social determinants of health (SDOH). The ICD coding system is an internationally recognized system to identify and classify diseases, injuries, health encounters, and inpatient procedures. Medical and social service providers, researchers, health information managers, public health and health care system professionals, policymakers, and coders use these codes to conduct surveillance, such as on the existence of diseases and their outcomes, health care utilization, and health care-associated adverse events, and for billing and claims reimbursement. The ICD coding system has been the backbone of health care systems' clinical documentation and coding practices on an international level since 1909. Clinical documentation and coding have an immense influence on what can be measured in medical records. The current ICD guidance needs to undergo a cultural transformation to have parity between codes for medical and nonmedical conditions, such as supporting the standard use of SDOH as primary diagnoses for outpatient encounters, expanding its list of SDOH codes, and incorporating a wellness perspective. Developing a measurement paradigm that assesses the well-being of the whole person must involve in tandem revising the ICD coding system to include this same perspective.

Indexed as

International Classification of DiseasesUnited States Department of Veterans AffairsClinical CodingGuidelines as TopicHumansSocial Determinants of HealthUnited States

Identifiers

PMID39514492
PMCPMC11548820

What OpenQuestion holds

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Registered trials

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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.