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Cheng C, Christensen M. Interventions Addressing Symptoms in Older Adults with Multimorbidity: An Umbrella Review. J Multidiscip Healthc 2024; 17:3181-3192. [PMID: 39006878 PMCID: PMC11246035 DOI: 10.2147/jmdh.s452426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 02/07/2024] [Indexed: 07/16/2024] Open
Abstract
This umbrella review was to synthesize the summarized evidence-based research regarding interventions addressing symptoms in older populations with multimorbidity. Three databases including PsycINFO, MEDLINE, and CINAHL were searched systematically. The JBI Methodology for Umbrella Reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statements were used to report this review. Six reviews published between 2016 and 2010 were included for analysis. Interventions were mixed and included components on health-related behaviors, body systems or functions, activities and participation domains, and the environment. Outcomes concerning physiological/clinical functioning were most reported. The evidence regarding the symptoms-related interventions was mixed, but all showed promising outcomes compared with usual care or not. To sum up, this umbrella review reveals the lack of strong empirical evidence for the effectiveness of intervention addressing symptoms in older adults with multimorbidity. It highlights the need to evaluate the established approach of interventions further to support this population.
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Affiliation(s)
- Cheng Cheng
- School of Nursing, Hong Kong Polytechnic University, Hong Kong, SAR, People’s Republic of China
- School of Nursing, Fudan University, Xuhui, Shanghai, People’s Republic of China
| | - Martin Christensen
- School of Nursing, Hong Kong Polytechnic University, Hong Kong, SAR, People’s Republic of China
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Abe K, Kawase H, Yokogawa N, Yamashita K, Yamashita M, Sasaki T, Yamaoka A, Shiga Y, Maki S, Inage K, Eguchi Y, Orita S, Ohtori S. Mapping the Japanese orthopedic association national registry (JOANR) to the international classification of health interventions (ICHI). J Orthop Sci 2024; 29:675-680. [PMID: 36732127 DOI: 10.1016/j.jos.2023.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Accepted: 01/03/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND The Japanese Orthopedic Association launched the Japanese Orthopedic Association National Registry (JOANR), Japan's first large-scale nationwide musculoskeletal disease registry, in 2020. The World Health Organization released the International Classification of Health Interventions (ICHI) Beta-3 version in the same year. This concurrence served as an impetus to examine the relationship between domestic and international classification for orthopedic interventions. Our objective was to evaluate the possibility of utilizing JOANR for international comparison and the potential usage of ICHI in the domestic medical fee reimbursement system. This study is a novel attempt at mapping a domestic orthopedic scheme to the ICHI. METHODS We mapped 149 codes out of 581 orthopedic surgical codes, on JOANR's registration form, to the ICHI, and then classified the nature of JOANR codes' relationship, to both ICHI single stem codes and stem codes accompanied by other additional stem codes, extension codes, and International Classification of Diseases for Mortality and Morbidity Statistics (ICD) codes, into five categories: Equivalent (exact match), Narrower (compared to ICHI; can be smoothly incorporated into ICHI), Broader (compared to ICHI), Slipped (combination of both Narrower and Broader), and None (no appropriate code). Finally, debatable issues that arose during the mapping operation were noted. RESULTS The domestic codes' relationship to ICHI single stem code by category were Equivalent: 27 (18.1%) and Narrower: 65 (43.6%), respectively. Further, the rate of Equivalent rose to 120 (80.5%) on adding other stem codes, extension codes, and ICD codes. Additionally, certain domestic titles, which were unsuitable for classification as they included diagnostic information, and arthroscopic surgeries without corresponding ICHI codes, were recoded. CONCLUSIONS JOANR can be converted to an international comparison standard via ICHI to a certain extent, and ICHI accompanied by ICD codes has potential for deployment in the domestic medical fee reimbursement system.
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Affiliation(s)
- Koki Abe
- Center for Next Generation of Community Health, Chiba University Hospital, 1-8-15 Inohana, Chuo-ku, Chiba City, Chiba 260-0856, Japan; Department of Orthopaedic Surgery, JCHO Funabashi Central Hospital, 6-13-10 Kaijin, Funabashi City, Chiba 260-8670, Japan.
| | - Hirokazu Kawase
- Department of Pediatric Surgery, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-ku, Kawasaki City, Kanagawa 216-8511 Japan
| | - Noriaki Yokogawa
- Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa City, Ishikawa 920-8641, Japan
| | - Keishi Yamashita
- Department of Orthopaedic Surgery, JCHO Funabashi Central Hospital, 6-13-10 Kaijin, Funabashi City, Chiba 260-8670, Japan
| | - Masaomi Yamashita
- Department of Orthopaedic Surgery, JCHO Funabashi Central Hospital, 6-13-10 Kaijin, Funabashi City, Chiba 260-8670, Japan
| | - Toshihide Sasaki
- Department of Orthopaedic Surgery, JCHO Funabashi Central Hospital, 6-13-10 Kaijin, Funabashi City, Chiba 260-8670, Japan
| | - Akiyoshi Yamaoka
- Department of Orthopaedic Surgery, JCHO Funabashi Central Hospital, 6-13-10 Kaijin, Funabashi City, Chiba 260-8670, Japan
| | - Yasuhiro Shiga
- Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba City, Chiba 260-8670, Japan
| | - Satoshi Maki
- Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba City, Chiba 260-8670, Japan
| | - Kazuhide Inage
- Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba City, Chiba 260-8670, Japan
| | - Yawara Eguchi
- Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba City, Chiba 260-8670, Japan
| | - Sumihisa Orita
- Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba City, Chiba 260-8670, Japan; Center for Frontier Medical Engineering, Chiba University, 1-33 Yayoi-cho, CFME Room#B201, Inage-ku, Chiba City, Chiba 263-8522, Japan
| | - Seiji Ohtori
- Department of Orthopaedic Surgery, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba City, Chiba 260-8670, Japan
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Fung KW, Xu J, Ameye F, Burelle L, MacNeil J. Evaluation of the International Classification of Health Interventions (ICHI) in the coding of common surgical procedures. J Am Med Inform Assoc 2021; 29:43-51. [PMID: 34643710 DOI: 10.1093/jamia/ocab220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 10/27/2021] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE : To evaluate the International Classification of Health Interventions (ICHI) in the clinical and statistical use cases. MATERIALS AND METHODS : We identified 300 most-performed surgical procedures as represented by their display names in an electronic health record. For comparison with existing coding systems, we coded the procedures in ICHI, SNOMED CT, International Classification of Diseases (ICD)-10-PCS, and CCI (Canadian Classification of Health Interventions), using postcoordination (modification of existing codes by adding other codes), when applicable. Failure analysis was done for cases where full representation was not achieved. The ICHI encoding was further evaluated for adequacy to support statistical reporting by the Organisation for Economic Co-operation and Development (OECD) and European Union (EU) categories of surgical procedures. RESULTS : After deduplication, 229 distinct procedures remained. Without postcoordination, ICHI achieved full representation in 52.8%. A further 19.2% could be fully represented with postcoordination. SNOMED CT was the best performing overall, with 94.3% full representation without postcoordination, and 99.6% with postcoordination. Failure analysis showed that "method" and "target" constituted most of the missing information for ICHI encoding. For all OECD/EU surgical categories, ICHI coding was adequate to support statistical reporting. One OECD/EU category ("Hip replacement, secondary") required postcoordination for correct assignment. CONCLUSION : In the clinical use case of capturing information in the electronic health record, ICHI was outperformed by the clinically oriented procedure coding systems (SNOMED CT and CCI), but was comparable to ICD-10-PCS. Postcoordination could be an effective and efficient means of improving coverage. ICHI is generally adequate for the collection of international statistics.
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Affiliation(s)
- Kin Wah Fung
- National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Julia Xu
- National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Filip Ameye
- National Institute for Health and Disability Insurance, Brussels, Belgium
| | - Lisa Burelle
- Canadian Institute for Health Information, Ottawa, Canada
| | - Janice MacNeil
- Canadian Institute for Health Information, Ottawa, Canada
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Block LJ, Wong ST, Handfield S, Hart R, Currie LM. Comparison of terminology mapping methods for nursing wound care knowledge representation. Int J Med Inform 2021; 153:104539. [PMID: 34358804 DOI: 10.1016/j.ijmedinf.2021.104539] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 05/25/2021] [Accepted: 06/28/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Standardized clinical terminologies are increasingly used to design and support advanced information systems. In order to examine the representativeness of these terminologies for different professional groups or clinical areas, researchers may perform different methods of terminology mapping. OBJECTIVE The purpose of this study was to evaluate the ability of four mapping methods to identify concepts related to wound care in SNOMED CT. METHODS A class diagram of 107 concepts was developed to represent the nursing context of wound assessment, wound diagnosis, and goal of care for wound management. All concepts were mapped to SNOMED CT and identified as a direct match, a one-to-many match, or no match using four mapping methods (manual, automated, comparison, and concordance). The manual, automated and comparison methods produced candidate lists of SNOMED CT concepts, which were then used by two nursing wound care experts. The experts completed concordance mapping, which produced the final list. The SNOMED CT concepts from the manual, automated and comparison mappings were compared to the concordance mapping to generate a proportion of representation by each mapping method. RESULTS The manual, automated and comparison mappings produced partial lists of unique candidate concept matches not found in the other mapping methods. The concordance mapping produced a final list which included: 43 terms (40%) that had direct matches, 2 terms (2%) that had one-to-many matches, and 62 terms (58%) that had no matches to SNOMED CT. All mapping methods were necessary to achieve the representativeness captured in the final list. CONCLUSION To increase the representativeness of candidate mapping lists, multiple mapping methods and considerations may be necessary.
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Affiliation(s)
- Lorraine J Block
- University of British Columbia, School of Nursing, Vancouver, BC, Canada. https://twitter.com/lori_block1
| | - Sabrina T Wong
- University of British Columbia, School of Nursing and Centre for Health Services and Policy Research, Vancouver, BC, Canada
| | - Shannon Handfield
- Provincial Professional Practice Stream Lead Wound Ostomy Continence, Vancouver, BC, Canada
| | - Rosa Hart
- Regional Director Clinical Informatics, Acute Vancouver Coastal Health Authority, Vancouver, BC, Canada
| | - Leanne M Currie
- University of British Columbia, School of Nursing Vancouver, BC, Canada
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Fortune N, Short S, Madden R. Building a statistical classification: A new tool for classification development and testing. ACTA ACUST UNITED AC 2020. [DOI: 10.3233/sji-200633] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Statistical classifications are essential for collecting consistent data that can be compared over space and time. However, a publicly-documented body of practice concerning how to undertake the development and testing of a statistical classification is currently lacking. What aspects of the classification should be tested during the development process? How do we judge whether the classification is fit-for-purpose? How should problems and shortcomings be identified so that they can be remedied? To fill this gap, we drew on existing, authoritative sources to develop an analytic structure for use in the development and testing of statistical classifications. It consists of two components: (1) a statistical classification development and testing framework reflecting the required features of a statistical classification; and (2) a 4-tier model representing the main elements that make up a statistical classification, to use as a heuristic structure within which to locate issues identified and consider how they can be addressed. In this paper, we outline the development of the framework and model, and reflect on their application in testing a draft classification of health interventions. We propose this analytic structure as a new tool to support those engaged in the development of statistical classifications.
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Torres FBG, Gomes DC, Ronnau L, Moro CMC, Cubas MR. ISO/TR 12300:2016 for clinical cross-terminology mapping: contribution to nursing. Rev Esc Enferm USP 2020; 54:e303569. [PMID: 32696939 DOI: 10.1590/s1980-220x2018052203569] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 08/22/2019] [Indexed: 11/21/2022] Open
Abstract
This theoretical and reflective study aimed to assess the contribution of the ISO/TR 12300:2016 document for the mapping of nursing terminology. The referred document and related articles were used as an empirical framework. The study analyzed the content of the document, highlighting cardinality and equivalence principles. The standard presents conceptual and operational basis for mapping, with cardinality and equivalence as the support for the categorization of cross-terminology mapping in the area of nursing. Cardinality verifies candidate target terms to represent the source term, while the equivalence degree scale checks semantic correspondence. Among the principles included in the ISO/TR 12300:2016, cardinality and equivalence contribute to the accurate representation of the results of the cross-terminology mapping process and its use should decrease inconsistencies.
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Affiliation(s)
| | - Denilsen Carvalho Gomes
- Programa de Pós-Graduação em Tecnologia em Saúde, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil
| | - Lucas Ronnau
- Programa de Pós-Graduação em Tecnologia em Saúde, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil
| | - Cláudia Maria Cabral Moro
- Programa de Pós-Graduação em Tecnologia em Saúde, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil
| | - Marcia Regina Cubas
- Programa de Pós-Graduação em Tecnologia em Saúde, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil
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Block LJ, Currie LM, Hardiker NR, Strudwick G. Visibility of Community Nursing Within an Administrative Health Classification System: Evaluation of Content Coverage. J Med Internet Res 2019; 21:e12847. [PMID: 31244480 PMCID: PMC6617914 DOI: 10.2196/12847] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 04/11/2019] [Accepted: 05/02/2019] [Indexed: 12/21/2022] Open
Abstract
Background The World Health Organization is in the process of developing an international administrative classification for health called the International Classification of Health Interventions (ICHI). The purpose of ICHI is to provide a tool for supporting intervention reporting and analysis at a global level for policy development and beyond. Nurses represent the largest resource carrying out clinical interventions in any health system. With the shift in nursing care from hospital to community settings in many countries, it is important to ensure that community nursing interventions are present in any international health information system. Thus, an investigation into the extent to which community nursing interventions were covered in ICHI was needed. Objective The objectives of this study were to examine the extent to which International Classification for Nursing Practice (ICNP) community nursing interventions were represented in the ICHI administrative classification system, to identify themes related to gaps in coverage, and to support continued advancements in understanding the complexities of knowledge representation in standardized clinical terminologies and classifications. Methods This descriptive study used a content mapping approach in 2 phases in 2018. A total of 187 nursing intervention codes were extracted from the ICNP Community Nursing Catalogue and mapped to ICHI. In phase 1, 2 coders completed independent mapping activities. In phase 2, the 2 coders compared each list and discussed concept matches until consensus on ICNP-ICHI match and on mapping relationship was reached. Results The initial percentage agreement between the 2 coders was 47% (n=88), but reached 100% with consensus processes. After consensus was reached, 151 (81%) of the community nursing interventions resulted in an ICHI match. A total of 36 (19%) of community nursing interventions had no match to ICHI content. A total of 100 (53%) community nursing interventions resulted in a broader ICHI code, 9 (5%) resulted in a narrower ICHI code, and 42 (23%) were considered equivalent. ICNP concepts that were not represented in ICHI were thematically grouped into the categories family and caregivers, death and dying, and case management. Conclusions Overall, the content mapping yielded similar results to other content mapping studies in nursing. However, it also found areas of missing concept coverage, difficulties with interterminology mapping, and further need to develop mapping methods.
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Affiliation(s)
- Lorraine J Block
- School of Nursing, University of British Columbia, Vancouver, BC, Canada
| | - Leanne M Currie
- School of Nursing, University of British Columbia, Vancouver, BC, Canada
| | - Nicholas R Hardiker
- School of Human and Health Sciences, University of Huddersfield, Huddersfield, United Kingdom
| | - Gillian Strudwick
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
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