ArticlePerspectives in health information managemen2019
Analyzing the ICD-10-CM Transition and Post-implementation Stages: A Public Health Institution Case Study.
Article in Perspectives in health information managemen, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Cardiovascular-Kidney-Metabolic Syndrome: Development of anJMIR diabetes · 2026Article
- A Transformative Innovation to Clinical Coding for Better Data and Less Burden.Advances in health information science and practice · 2025Article
- Improvements in Neoplasm Classification in the International Classification of Diseases, Eleventh Revision: Systematic Comparative Study With the Chinese Clinical Modification of the International Classification of Diseases, Tenth Revision.Interactive journal of medical research · 2024Article
- Urban-Rural Differences in Receipt of Cancer Surgery at High-Volume Hospitals and Sensitivity to Hospital Volume Thresholds.JCO oncology practice · 2024Article
- Accuracy ofCritical care explorations · 2022Review
- Article
- Leaving the Walkman and ICD-9 Behind: Modernizing the Disease Classification System Used by Canadian Physicians.Healthcare policy = Politiques de sante · 2022Article
- Identifying Conditions With High Prevalence, Cost, and Variation in Cost in US Children's Hospitals.JAMA network open · 2021Article
- Trends and Racial/Ethnic Disparities in the Rates of Pre-eclampsia by HIV Status in the US.Journal of racial and ethnic health disparities · 2021Article
- Entropic measures of complexity in a new medical coding system.BMC medical informatics and decision making · 2021Article
- A Narrative Review of the Classification and Use of Diagnostic Ultrasound for Conditions of the Achilles Tendon.Diagnostics (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
On October 1, 2015, the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) was incorporated into the US public health system. Because of significant opposition and reservations expressed by stakeholders, while the proposed rule for ICD-10-CM adoption was issued in 2009, the transition did not occur until October 2015. The purpose of this study was to identify conversion initiatives used by a public health institution during the initial and subsequent stages of ICD-10-CM implementation, to help similar institutions address future unfunded healthcare data infrastructure mandates. The data collection for this study occurred from 2015 to 2018, encompassing 20 semistructured interviews with 13 department heads, managers, physicians, and coders. Research findings from this study identified several trends, disruptions, challenges, and lessons learned that might support the industry with strategies to foster success for the transition to future coding revisions (i.e., ICD-11).
Indexed as
Identifiers
31019430PMC6462880What OpenQuestion holds
Registered trials
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.