Impact of educational level on rheumatoid arthritis: A systematic review

López-Castillo, Christian Adrián; Calderón-Rojas, Rolando; Amaya-Amaya, Jenny; Desanvicente-Celis, Z.; Mantilla, Rubén D.; Rojas-Villarraga, Adriana

doi:10.1016/j.rcreu.2014.09.002

Cited by 4 publications

(4 citation statements)

References 57 publications

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“…smoking, obesity, physical inactivity) in those with lower SES, and thus often higher occurrence of MSK disorders and/or more severe MSK disease when present. Further, more hazardous work environment, more frequent or severe comorbidities including cardiovascular and respiratory diseases, lower treatment adherence, self-efficacy and coping mechanisms in people with low education may also contribute [3, 7, 12, 13]. Moreover, despite universal healthcare access in Sweden, we cannot rule out differences in healthcare utilization [14, 15].…”

Section: Discussionmentioning

confidence: 99%

“…Low socioeconomic status (SES) is often associated with worse health outcomes in patients with musculoskeletal (MSK) disorders including rheumatoid arthritis (RA) [1–3]. SES is also an important predictor of mortality in people with MSK disorders [1, 3–7]. However, little is known about socioeconomic inequalities in RA and other MSK disorders as cause of death .…”

Section: Introductionmentioning

confidence: 99%

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Educational inequalities in mortality associated with rheumatoid arthritis and other musculoskeletal disorders in Sweden

Kiadaliri

Petersson

Englund

2019

BMC Musculoskelet Disord

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Background Musculoskeletal (MSK) disorders are less likely to be reported as an underlying cause of death (UCD) and since cause of death studies are generally limited to the UCD, little is known about socioeconomic inequalities in MSK disorders as cause of death in the general population. Using multiple-cause-of-death data, we aimed to quantify and compare educational inequalities in musculoskeletal (MSK) disorders- with non-MSK disorders-related mortality. Methods All residents aged 30–99 years in the Skåne region, Sweden, during 1998–2013 ( n = 999,148) were followed until their 100th birthday, death, relocation outside Skåne, or end of 2014. We identified any mention of rheumatoid arthritis (RA) or other MSK disorders on death certificates using multiple-cause-of-death data. We retrieved and linked individual-level data from Statistics Sweden on highest level of education. We used Cox regression and additive hazards models with age as time-scale adjusted for sex, marital status, and country of birth to calculate slope and relative indices of inequality (SII/RII). Results During a mean follow-up of 12.2 years, there were 1407 (0.8% of all deaths) and 3725 (2.1% of all deaths) death certificates with mention of RA and other MSK disorders, respectively, and 171,798 death certificates without any mention of a MSK disorder. Age-standardized RA mortality rate was 2.2 (95% confidence interval [CI]: 2.0–2.8) times greater in people with 0–9 years of education compared with those with > 12 years of education. Corresponding figure for other MSK disorders was 1.5 (95% CI: 1.4–1.6). Both RIIs and SIIs revealed statistically significant educational inequalities in RA/other MSK disorders mortality favouring high-educated people. The RIIs of MSK disorders-related deaths were generally greater than non-MSK disorders-related deaths. Conclusion We found substantial educational inequality in mortality from MSK disorders. Further research is needed to investigate underlying pathways driving these inequalities. Electronic supplementary material The online version of this article (10.1186/s12891-019-2465-8) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Educational inequalities in mortality associated with rheumatoid arthritis and other musculoskeletal disorders in Sweden

Kiadaliri

Petersson

Englund

2019

BMC Musculoskelet Disord

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“…Educating patients improves treatment outcomes by increasing disease awareness. [20][21][22] This empowers RA patients to actively engage in their treatment, thus improving disease control and enhancing their quality of life. Therefore, developing educational strategies is vital for better outcomes.…”

mentioning

confidence: 99%

“…Education and sociodemographic factors affect disease progression and mortality rates. Educating patients improves treatment outcomes by increasing disease awareness 20–22 . This empowers RA patients to actively engage in their treatment, thus improving disease control and enhancing their quality of life.…”

mentioning

confidence: 99%

Comparison and Influence of a Multicomponent Educational Program on the Patient-Reported Outcomes of a Group of Patients With Rheumatoid Arthritis

Santos-Moreno,

Rodríguez-Vargas,

Rodríguez-Florido

et al. 2024

J Clin Rheumatol

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Background Rheumatoid arthritis (RA) is a chronic disease that affects different areas of the patient's body. Patient education and health literacy is essential for them to participate actively in follow-up. Objectives The aim of this study was to assess differences between clinimetric measurements done by a medical team and patient-reported outcome measures (PROMs) in RA and understand the impact of patient education strategies in order to identify differences between RA assessment methods. Methods This is a longitudinal cohort study. It included adult patients with RA and access to digital tools. These were divided into 3 groups by type of education. Group 1 included patients who participated in a multicomponent RA educational program. Group 2 did not have this multicomponent RA education. Group 3 did not receive any education. The 3 groups performed PROMs. Disease activity scales, functional class, and quality of life were measured. Univariate and bivariate analysis (χ2 and Wilcoxon for paired data) were done. Results Twenty-eight patients were included in group 1, 26 in group 2, and 37 in group 3. All were women. In group 1, there were no significant differences in clinimetrics between the medical team and patient's PROMs except for fatigue. In group 2 and group 3, significant differences were found. The RAPID3 and PAS variables did not show significant differences when analyzed by intervention subgroups. Conclusions This study shows no differences between clinimetrics/PROMs for patients with a high-level education on RA and physicians. On the other hand, when patient did not have any RA education, the clinimetric results differed from physician measurement.

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Machine learning reveals the most important psychological and social variables predicting the differential diagnosis of rheumatic and musculoskeletal diseases

et al. 2021

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Impact of educational level on rheumatoid arthritis: A systematic review

Cited by 4 publications

References 57 publications

Educational inequalities in mortality associated with rheumatoid arthritis and other musculoskeletal disorders in Sweden

Educational inequalities in mortality associated with rheumatoid arthritis and other musculoskeletal disorders in Sweden

Comparison and Influence of a Multicomponent Educational Program on the Patient-Reported Outcomes of a Group of Patients With Rheumatoid Arthritis

Machine learning reveals the most important psychological and social variables predicting the differential diagnosis of rheumatic and musculoskeletal diseases

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