Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
This study explored diverse care trajectories (CTs) for low back pain (LBP) and other musculoskeletal disorders (MSDs), over a 5-year period following a first episode of LBP. Based on Quebec's administrative health data from 2007 to 2011, this longitudinal cohort study involved 12,608 adults seeking health care for LBP. Using a new multidimensional state sequence analysis, we identified 6 distinct types of CTs. The most prevalent types 1, 2, and 3 (comprising 79.2%, 18.0%, and 21.7% of the cohort, respectively) exhibit rapid recovery and similar patterns of healthcare use over 5 years but differing in initial diagnoses: nonspecific LBP in type 1, trauma-related LBP in type 2 (mostly younger men and highest initial emergency consultation), and specific LBP in type 3. Types 4 to 6, representing smaller groups, show high healthcare utilization with comparable mixed LBP diagnoses at entry but distinctive subsequent care use patterns. Patients in types 4 and 6 (mainly older age groups and women) sought care for other MSDs from general practitioners or specialists, while middle-aged patients in type 5 experienced persistent nonspecific LBP with frequent general practitioner consultations over 5 years. The CTs typology revealed several key areas for improvement in nonpharmacological interventions, including the need to address possible inappropriate medical imaging and invasive interventions for older women with MSDs and the lack of ambulatory care access for younger patients with trauma-related LBP. Finally, results clearly highlighted poor access to rehabilitation physicians and rehabilitation services for all patients suffering from LBP and MSDs.
This study explored diverse care trajectories (CTs) for low back pain (LBP) and other musculoskeletal disorders (MSDs), over a 5-year period following a first episode of LBP. Based on Quebec's administrative health data from 2007 to 2011, this longitudinal cohort study involved 12,608 adults seeking health care for LBP. Using a new multidimensional state sequence analysis, we identified 6 distinct types of CTs. The most prevalent types 1, 2, and 3 (comprising 79.2%, 18.0%, and 21.7% of the cohort, respectively) exhibit rapid recovery and similar patterns of healthcare use over 5 years but differing in initial diagnoses: nonspecific LBP in type 1, trauma-related LBP in type 2 (mostly younger men and highest initial emergency consultation), and specific LBP in type 3. Types 4 to 6, representing smaller groups, show high healthcare utilization with comparable mixed LBP diagnoses at entry but distinctive subsequent care use patterns. Patients in types 4 and 6 (mainly older age groups and women) sought care for other MSDs from general practitioners or specialists, while middle-aged patients in type 5 experienced persistent nonspecific LBP with frequent general practitioner consultations over 5 years. The CTs typology revealed several key areas for improvement in nonpharmacological interventions, including the need to address possible inappropriate medical imaging and invasive interventions for older women with MSDs and the lack of ambulatory care access for younger patients with trauma-related LBP. Finally, results clearly highlighted poor access to rehabilitation physicians and rehabilitation services for all patients suffering from LBP and MSDs.
RationaleThough it is crucial to contribute to patient recovery through access, diversity, continuity and regularity of outpatient care, still today most of these are deemed nonoptimal. Identifying patient profiles based on outpatient service use and quality of care indicators might help formulate more personalized interventions and reduce adverse outcomes.Aims and ObjectivesThis study aimed to identify profiles of individuals with mental disorders (MDs) patterned after their outpatient care use and quality of care received, and to link those profiles to individual characteristics and subsequent outcomes.MethodsA cohort of 5669 individuals with MDs was considered based on data from the 2013–2014 and 2015–2016 Canadian Community Health Survey, which were linked to administrative data from the Quebec health insurance registry. Latent class analysis generated profiles based on service use over the 12 months preceding each respondent's interview, and comparative analyses were used to associate profiles with sociodemographic and clinical characteristics, and health outcomes over the three following months.ResultsFour profiles were identified. Profile 1 (P‐1) was labelled ‘Low service use’; P‐2 ‘Moderate general practitioner (GP) care and continuity and regularity of care’; P‐3 ‘High GP care, continuity and regularity of care, and low psychiatrist care’; and P‐4 ‘High psychiatrist care and regularity of care, and low GP care’. Profiles 3 and 4 (~50% of the cohort) were provided with better care, but showed worse outcomes, mainly acute care use due to more complex conditions and unmet needs. Profiles 1 and 2 had better outcomes as they showed fewer risk factors such as being younger and having better social conditions.ConclusionIntensity, diversity and regularity of care were higher in profiles with more complex MDs, chronic physical illnesses, and worse perceived health conditions. Adapting specific interventions for each profile, such as assertive community treatment or intensive case management for Profile 4, is recommended.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.