Cargando…

Prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (POLAR) database

BACKGROUND: Electronic health record datasets have been used to determine the prevalence of musculoskeletal complaints in general practice but not to examine the associated characteristics and healthcare utilisation at the primary care level. AIM: To describe the prevalence and characteristics of pa...

Descripción completa

Detalles Bibliográficos
Autores principales: Haas, Romi, Gorelik, Alexandra, Busija, Ljoudmila, O’Connor, Denise, Pearce, Christopher, Mazza, Danielle, Buchbinder, Rachelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898983/
https://www.ncbi.nlm.nih.gov/pubmed/36739379
http://dx.doi.org/10.1186/s12875-023-01976-z
_version_ 1784882546829426688
author Haas, Romi
Gorelik, Alexandra
Busija, Ljoudmila
O’Connor, Denise
Pearce, Christopher
Mazza, Danielle
Buchbinder, Rachelle
author_facet Haas, Romi
Gorelik, Alexandra
Busija, Ljoudmila
O’Connor, Denise
Pearce, Christopher
Mazza, Danielle
Buchbinder, Rachelle
author_sort Haas, Romi
collection PubMed
description BACKGROUND: Electronic health record datasets have been used to determine the prevalence of musculoskeletal complaints in general practice but not to examine the associated characteristics and healthcare utilisation at the primary care level. AIM: To describe the prevalence and characteristics of patients presenting to general practitioners with musculoskeletal complaints. DESIGN AND SETTING: A five-year analysis within three Primary Health Networks (PHNs) in Victoria, Australia. METHOD: We included patients with at least one face-to-face consultation 2014 to 2018 inclusive and a low back (≥ 18 years), and/or neck, shoulder or knee (≥ 45 years) complaint determined by SNOMED codes derived from diagnostic text within the medical record. We determined prevalence, socio-demographic characteristics and diagnostic codes for patients with an eligible diagnosis; and number of consultations within one year of diagnosis. RESULTS: 324,793/1,294,021 (25%) presented with at least one musculoskeletal diagnosis, of whom 41% (n = 133,279) fulfilled our inclusion criteria. There were slightly more females (n = 73,428, 55%), two-thirds (n = 88,043) were of working age (18–64 years) and 83,816 (63%) had at least one comorbidity. Over half had a low back diagnosis (n = 76,504, 57%) followed by knee (n = 33,438, 25%), shoulder (n = 26,335, 20%) and neck (n = 14,492, 11%). Most codes included ‘pain’ and/or ‘ache’ (low back: 58%, neck: 41%, shoulder: 32%, knee 26%). Median (IQR) all-cause consultations per patient within one year of diagnosis was 7 (4–12). CONCLUSION: The burden of MSK complaints at the primary care level is high as evidenced by the prevalence of people with musculoskeletal complaints presenting to a general practitioner, the preponderance of comorbidities and the numerous consultations per year. Identification and evaluation of strategies to reduce this burden are needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-023-01976-z.
format Online
Article
Text
id pubmed-9898983
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-98989832023-02-05 Prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (POLAR) database Haas, Romi Gorelik, Alexandra Busija, Ljoudmila O’Connor, Denise Pearce, Christopher Mazza, Danielle Buchbinder, Rachelle BMC Prim Care Research BACKGROUND: Electronic health record datasets have been used to determine the prevalence of musculoskeletal complaints in general practice but not to examine the associated characteristics and healthcare utilisation at the primary care level. AIM: To describe the prevalence and characteristics of patients presenting to general practitioners with musculoskeletal complaints. DESIGN AND SETTING: A five-year analysis within three Primary Health Networks (PHNs) in Victoria, Australia. METHOD: We included patients with at least one face-to-face consultation 2014 to 2018 inclusive and a low back (≥ 18 years), and/or neck, shoulder or knee (≥ 45 years) complaint determined by SNOMED codes derived from diagnostic text within the medical record. We determined prevalence, socio-demographic characteristics and diagnostic codes for patients with an eligible diagnosis; and number of consultations within one year of diagnosis. RESULTS: 324,793/1,294,021 (25%) presented with at least one musculoskeletal diagnosis, of whom 41% (n = 133,279) fulfilled our inclusion criteria. There were slightly more females (n = 73,428, 55%), two-thirds (n = 88,043) were of working age (18–64 years) and 83,816 (63%) had at least one comorbidity. Over half had a low back diagnosis (n = 76,504, 57%) followed by knee (n = 33,438, 25%), shoulder (n = 26,335, 20%) and neck (n = 14,492, 11%). Most codes included ‘pain’ and/or ‘ache’ (low back: 58%, neck: 41%, shoulder: 32%, knee 26%). Median (IQR) all-cause consultations per patient within one year of diagnosis was 7 (4–12). CONCLUSION: The burden of MSK complaints at the primary care level is high as evidenced by the prevalence of people with musculoskeletal complaints presenting to a general practitioner, the preponderance of comorbidities and the numerous consultations per year. Identification and evaluation of strategies to reduce this burden are needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12875-023-01976-z. BioMed Central 2023-02-04 /pmc/articles/PMC9898983/ /pubmed/36739379 http://dx.doi.org/10.1186/s12875-023-01976-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Haas, Romi
Gorelik, Alexandra
Busija, Ljoudmila
O’Connor, Denise
Pearce, Christopher
Mazza, Danielle
Buchbinder, Rachelle
Prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (POLAR) database
title Prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (POLAR) database
title_full Prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (POLAR) database
title_fullStr Prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (POLAR) database
title_full_unstemmed Prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (POLAR) database
title_short Prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (POLAR) database
title_sort prevalence and characteristics of musculoskeletal complaints in primary care: an analysis from the population level and analysis reporting (polar) database
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898983/
https://www.ncbi.nlm.nih.gov/pubmed/36739379
http://dx.doi.org/10.1186/s12875-023-01976-z
work_keys_str_mv AT haasromi prevalenceandcharacteristicsofmusculoskeletalcomplaintsinprimarycareananalysisfromthepopulationlevelandanalysisreportingpolardatabase
AT gorelikalexandra prevalenceandcharacteristicsofmusculoskeletalcomplaintsinprimarycareananalysisfromthepopulationlevelandanalysisreportingpolardatabase
AT busijaljoudmila prevalenceandcharacteristicsofmusculoskeletalcomplaintsinprimarycareananalysisfromthepopulationlevelandanalysisreportingpolardatabase
AT oconnordenise prevalenceandcharacteristicsofmusculoskeletalcomplaintsinprimarycareananalysisfromthepopulationlevelandanalysisreportingpolardatabase
AT pearcechristopher prevalenceandcharacteristicsofmusculoskeletalcomplaintsinprimarycareananalysisfromthepopulationlevelandanalysisreportingpolardatabase
AT mazzadanielle prevalenceandcharacteristicsofmusculoskeletalcomplaintsinprimarycareananalysisfromthepopulationlevelandanalysisreportingpolardatabase
AT buchbinderrachelle prevalenceandcharacteristicsofmusculoskeletalcomplaintsinprimarycareananalysisfromthepopulationlevelandanalysisreportingpolardatabase