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将抑郁症和长期肌肉骨骼疼痛的工作相关残疾信息映射到《国际功能、残疾和健康分类》及国际功能、残疾和健康分类核心组合。

Mapping information regarding the work-related disability of depression and long-term musculoskeletal pain to the International Classification of Functioning, Disability and Health and ICF Core Sets.

作者信息

Fresk Magdalena, Grooten Wilhelmus J A, Brodin Nina, Backlund Lars G, Arrelöv Britt, Skånér Ylva, Kiessling Anna

机构信息

Department of Neurobiology, Care Sciences and Society, Division of Family Medicine and Primary Care, Karolinska Institutet, Huddinge, Sweden.

Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Huddinge, Sweden.

出版信息

Front Rehabil Sci. 2023 May 2;4:1159208. doi: 10.3389/fresc.2023.1159208. eCollection 2023.

DOI:10.3389/fresc.2023.1159208
PMID:37200737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10185752/
Abstract

INTRODUCTION

The International Classification of Functioning, Disability and Health is the WHO coding scheme for functioning-related data. Clear and unambiguous information regarding patients' work-related disabilities is important not only for the assessment of entitlement to paid sickness benefits but also for planning rehabilitation and return to work. The objective was to validate the content of ICF and ICF Core Sets for information on work-related disability in sick leave due to depression and long-term musculoskeletal pain. Specific aims: To describe to what extent (1) such data could be linked to ICF and (2) the result of the ICF linking in terms of ICF categories was represented in relevant ICF Core Sets.

METHODS

An ICF-linking study following the ICF-linking rules. A random sample of sick leave certificates issued in primary care for either depression ( = 25) or long-term musculoskeletal pain ( = 34) was collected from a community with 55,000 inhabitants in Stockholm County, Sweden.

RESULTS

The results of the ICF linking consisted of codings for (1) ICF categories and (2) other health information not possible to link to ICF. The ICF categories were compared to ICF Core Sets for coverage. The majority of the meaning units, 83% for depression and 75% for long-term musculoskeletal pain, were linked to ICF categories. The Comprehensive ICF Core Set for depression covered 14/16 (88%) of the ICF categories derived from the ICF linking. The corresponding figures were lower for both the Brief ICF Core Set for depression 7/16 (44%) and ICF Core Set for disability evaluation in social security 12/20 (60%).

CONCLUSION

The results indicates that ICF is a feasible code scheme for categorising information on work-related disability in sick leave certificates for depression and long-term musculoskeletal pain. As expected, the Comprehensive ICF Core Set for depression covered the ICF categories derived from the certificates for depression to a high degree. However, the results indicate that (1) sleep- and memory functions should be added to the Brief ICF Core Set for depression, and (2) energy-, attention- and sleep functions should be added to the ICF Core Set for disability evaluation in social security when used in this context.

摘要

引言

《国际功能、残疾和健康分类》是世界卫生组织用于与功能相关数据的编码方案。关于患者与工作相关残疾的清晰明确信息不仅对于评估带薪病假的资格很重要,而且对于规划康复和重返工作岗位也很重要。目的是验证《国际功能、残疾和健康分类》(ICF)及其核心集对于因抑郁症和长期肌肉骨骼疼痛而休病假的与工作相关残疾信息的内容。具体目标:描述(1)此类数据与ICF的关联程度,以及(2)根据ICF类别进行ICF关联的结果在相关ICF核心集中的体现程度。

方法

按照ICF关联规则进行的ICF关联研究。从瑞典斯德哥尔摩县一个有55000名居民的社区收集了初级保健中开具的因抑郁症(n = 25)或长期肌肉骨骼疼痛(n = 34)而休病假的证明的随机样本。

结果

ICF关联的结果包括(1)ICF类别的编码和(2)无法与ICF关联的其他健康信息。将ICF类别与ICF核心集进行覆盖范围比较。大多数意义单元,抑郁症患者为83%,长期肌肉骨骼疼痛患者为75%,与ICF类别相关联。抑郁症综合ICF核心集涵盖了ICF关联得出的16个ICF类别中的14个(88%)。抑郁症简短ICF核心集和社会保障残疾评估ICF核心集的相应数字较低,分别为16个中的7个(44%)和20个中的12个(60%)。

结论

结果表明,ICF是一种可行的编码方案,可用于对抑郁症和长期肌肉骨骼疼痛的病假证明中与工作相关残疾的信息进行分类。正如预期的那样,抑郁症综合ICF核心集高度涵盖了抑郁症证明中得出的ICF类别。然而,结果表明,(1)睡眠和记忆功能应添加到抑郁症简短ICF核心集中,以及(2)在这种情况下使用时,能量、注意力和睡眠功能应添加到社会保障残疾评估ICF核心集中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae5b/10185752/16afa436d446/fresc-04-1159208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae5b/10185752/909a242ed581/fresc-04-1159208-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae5b/10185752/b22fc16a91fe/fresc-04-1159208-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae5b/10185752/16afa436d446/fresc-04-1159208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae5b/10185752/909a242ed581/fresc-04-1159208-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae5b/10185752/b22fc16a91fe/fresc-04-1159208-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae5b/10185752/16afa436d446/fresc-04-1159208-g003.jpg

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