Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54952, first published .
Correction: Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

Correction: Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

Correction: Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review

Authors of this article:

Eunkyung Han1, 2 Author Orcid Image ;   Hadi Kharrazi3, 4 Author Orcid Image ;   Leiyu Shi3 Author Orcid Image

1Ho-Young Institute of Community Health, , Paju, , Republic of Korea

2Asia Pacific Center For Hospital Management and Leadership Research, Johns Hopkins Bloomberg School of Public Health, , Baltimore, MD, , United States

3Department of Health Policy and Management, Johns Hopkins School of Public Health, , Baltimore, MD, , United States

4Division of Biomedical Informatics and Data Science, Johns Hopkins School of Medicine, , Baltimore, MD, , United States

Corresponding Author:

Eunkyung Han, MPH, MD (DKM), DrPH



In “Identifying Predictors of Nursing Home Admission by Using Electronic Health Records and Administrative Data: Scoping Review” (JMIR Aging 2023;6:e42437) the authors noted one error.

In the originally published manuscript, some percentage values in Table 2 were listed incorrectly. The corrected version of Table 2 appears as follows:

Table 2. Outcome measures used in the selected studies beyond nursing home admission (N=37a).
Secondary outcomeOutcome reported, n (%)
Mortality16 (43)
Hospitalization or rehospitalization11 (30)
Discharge from home and home-based services or recommendations to live in the community4 (11)
Functional measures (quality of life, activities of daily living, and mental well-being)4 (11)
Discharge to any health care institutions other than a nursing home (eg, rehabilitation center)2 (5)
Other long-term care service use1 (3)
Emergency department visit1 (3)
Disability1 (3)
Onset of 5 important chronic conditions1 (3)
Nursing care needs1 (3)
Time of death1 (3)
Fall incidence1 (3)
Health and social service costs1 (3)

aMore than 1 outcome measure was reported from individual studies. Therefore, N was greater than the number of selected studies.

The originally published version of Table 2 is included as Multimedia Appendix 1.

The correction will appear in the online version of the paper on the JMIR Publications website on December 19, 2023, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

Multimedia Appendix 1

Originally published Table 2.

DOCX File, 188 KB

This is a non–peer-reviewed article. submitted 28.11.23; accepted 28.11.23; published 19.12.23.

Copyright

© Eunkyung Han, Hadi Kharrazi, Leiyu Shi. Originally published in JMIR Aging (https://aging.jmir.org), 19.12.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on https://aging.jmir.org, as well as this copyright and license information must be included.