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      The feasibility of implementing a cultural mentoring program alongside pain management and physical rehabilitation for chronic musculoskeletal conditions: results of a controlled before-and-after pilot study

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          Abstract

          Background

          Culturally diverse communities face barriers managing chronic musculoskeletal pain conditions including navigation challenges, sub-optimal healthcare provider engagement and difficulty adopting self-management behaviours.

          Objectives

          To explore the feasibility and trends of effectiveness of implementing a cultural mentoring program alongside clinical service delivery.

          Methods

          This quasi-experimental controlled before-and-after multiple case study was conducted in three hospital-based services that provide treatment for patients with musculoskeletal pain. Two prospective cohorts, a pre-implementation and a post-implementation cohort, of adults with chronic musculoskeletal pain who attended during the 6-month recruitment phase, were eligible if they self-identified with one of the cultures prioritised for mentoring by the clinic. The pre-implementation cohort received routine care for up to 3-months, while the post-implementation cohort received up to 3-months of cultural mentoring integrated into routine care (3 to 10 sessions), provided by a consumer ( n = 6) with lived experience. Feasibility measures (recruitment and completion rates, attendance, satisfaction), and trends of effectiveness (Patient Activation Measure and Health Literacy Questionnaire items one and six) were collated over 3-months for both cohorts. Outcomes were presented descriptively and analysed using Mann-Whitney U-tests for between-group comparisons. Translation and transcription of post-treatment semi-structured interviews allowed both cohorts’ perspectives of treatment to be analysed using a Rapid Assessment Process.

          Results

          The cultural mentor program was feasible to implement in clinical services with comparable recruitment rates (66% pre-implementation; 61% post-implementation), adequate treatment attendance (75% pre-implementation; 89% post-implementation), high treatment satisfaction (97% pre-implementation; 96% post-implementation), and minimal participant drop-out (< 5%). Compared to routine care ( n = 71), patients receiving mentoring ( n = 55) achieved significantly higher Patient Activation Measure scores (median change 0 vs 10.3 points, p < 0.01) at 3-months, while Health Literacy Questionnaire items did not change for either cohort over time. Three themes underpinned participant experiences and acceptability of the mentoring intervention: ‘expectational priming’, ‘lived expertise’ and ‘collectivist orientation’ to understand shared participant experiences and explore the potential differential effect of the mentoring intervention.

          Conclusion

          Participant experiences and observations of improved patient activation provide support for the acceptability of the mentoring intervention integrated into routine care. These results support the feasibility of conducting a definitive trial, while also exploring issues of scalability and sustainability.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12891-022-06122-x.

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          Most cited references56

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          Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

          Summary Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding Bill & Melinda Gates Foundation.
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            Self-efficacy: Toward a unifying theory of behavioral change.

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              Using the framework method for the analysis of qualitative data in multi-disciplinary health research

              Background The Framework Method is becoming an increasingly popular approach to the management and analysis of qualitative data in health research. However, there is confusion about its potential application and limitations. Discussion The article discusses when it is appropriate to adopt the Framework Method and explains the procedure for using it in multi-disciplinary health research teams, or those that involve clinicians, patients and lay people. The stages of the method are illustrated using examples from a published study. Summary Used effectively, with the leadership of an experienced qualitative researcher, the Framework Method is a systematic and flexible approach to analysing qualitative data and is appropriate for use in research teams even where not all members have previous experience of conducting qualitative research.
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                Author and article information

                Contributors
                Bernadette.brady@health.nsw.gov.au
                Journal
                BMC Musculoskelet Disord
                BMC Musculoskelet Disord
                BMC Musculoskeletal Disorders
                BioMed Central (London )
                1471-2474
                19 January 2023
                19 January 2023
                2023
                : 24
                : 47
                Affiliations
                [1 ]GRID grid.410692.8, ISNI 0000 0001 2105 7653, Liverpool Hospital, South Western Sydney Local Health District, ; Locked Bag 7103 Liverpool, BC, Sydney, NSW 1871 Australia
                [2 ]GRID grid.1029.a, ISNI 0000 0000 9939 5719, School of Health Sciences, Western Sydney University, ; Locked Bag 1797, Penrith, NSW 2751 Australia
                [3 ]GRID grid.1013.3, ISNI 0000 0004 1936 834X, Sydney School of Health Sciences, Faculty of Medicine and Health, , The University of Sydney, ; Sydney, NSW 2006 Australia
                [4 ]GRID grid.410692.8, ISNI 0000 0001 2105 7653, Multicultural Health Unit, , South Western Sydney Local Health District, ; 5/39 Stanley Street, Bankstown, NSW 2200 Australia
                [5 ]GRID grid.410692.8, ISNI 0000 0001 2105 7653, Fairfield Hospital, , South Western Sydney Local Health District, ; PO Box 5, Fairfield, Sydney, NSW 1851 Australia
                [6 ]GRID grid.1014.4, ISNI 0000 0004 0367 2697, Caring Futures Institute, College of Nursing and Health Sciences, , Flinders University, ; Sturt Rd, Bedford Park, SA 5042 Australia
                [7 ]GRID grid.410692.8, ISNI 0000 0001 2105 7653, South Western Sydney Local Health District, ; Locked Bag 7103, Liverpool BC, Sydney, NSW Australia
                [8 ]GRID grid.1005.4, ISNI 0000 0004 4902 0432, SWS Clinical School UNSW, ; Locked Bag 7103, Liverpool BC, Sydney, NSW 1871 Australia
                [9 ]GRID grid.429098.e, Ingham Institute Applied Medical Research, ; 1 Campbell St, Liverpool, Liverpool, NSW 2170 Australia
                Article
                6122
                10.1186/s12891-022-06122-x
                9850562
                36658511
                f6b51ad9-4f3d-44d9-9d1f-2b5472524ddc
                © The Author(s) 2023

                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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 19 July 2022
                : 28 December 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2023

                Orthopedics
                culturally and linguistically diverse,cultural mentor,natural helper,patient activation,feasibility

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