The Accuracy of Self-report in Rheumatic Diseases

Gill, Tiffany K.; Hill, Catherine

doi:10.3899/jrheum.170564

Cited by 7 publications

(7 citation statements)

References 16 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MAILES study has a sound epidemiological base, a comparatively large sample of randomly selected community-dwelling men, and a high overall response rate, allowing its findings to be generalized to the broader population (Grant et al, 2014). As with most cohort studies, the key limitation of the MAILES study is its reliance on self-reported information for some lifestyle and medical factors, such as rheumatic diseases (Gill & Hill, 2017). However, De-Loyde et al (2015) reported that the use of patient self-reported questionnaires to ascertain comorbid conditions remains a valid method for health services research, as shown in the sensitivity analyses, which indicated the same conclusion for using clinically diagnosed or medication-based anxiety and depression.…”

Section: Discussionmentioning

confidence: 99%

The Effect of Multimorbidity Patterns and the Impact of Comorbid Anxiety and Depression on Primary Health Service Use: The Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) Study

Martin

Adams

et al. 2020

Am J Mens Health

View full text Add to dashboard Cite

This study sought to determine patterns of multimorbidity and quantify their impact on use of primary health services in the presence and absence of anxiety and depression among a cohort of urban community-dwelling men in Australia. The analytic sample consisted of men ( n = 2039; age 38–85) from the follow-up wave of a prospective cohort study of all participants of the Florey Adelaide Male Ageing Study (FAMAS; Stage 2 [2007–2010]) and age-matched men from the North-West Adelaide Health Study (NWAHS; Stage 3 [2008–2010]). Self-reported data and linkage with a national universal health coverage scheme (Medicare) provided information on the prevalence of eight chronic conditions and health service utilization information (including annual GP visits). Obesity and cardiovascular disease (CVD) were associated with the highest number of comorbid conditions. Two nonrandom multimorbidity “clusters” emerged: “CVD, Obesity, Diabetes” and “CVD, Obesity, Osteoarthritis.” Participants with conditions comorbid with CVD were more likely to have 10 or more annual GP visits, compared to multimorbidity involving other conditions. In comparison to participants without CVD, the presence of CVD increased the chance of having 10 or more annual GP visits (adjusted risk ratio: 3.7; 95% CI [2.8, 4.8]). When CVD was comorbid with anxiety and depression, having 10 or more annual GP visits was more common (adjusted risk ratio: 1.8; 95% CI [1.2, 2.5]). Multimorbidity patterns involving CVD, especially for multimorbidity that includes CVD with comorbid anxiety and depression, should be considered in developing clinical trials to better inform medical decision-making and care for patients with CVD and comorbid conditions.

show abstract

Section: Discussionmentioning

confidence: 99%

The Effect of Multimorbidity Patterns and the Impact of Comorbid Anxiety and Depression on Primary Health Service Use: The Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) Study

Martin

Adams

et al. 2020

Am J Mens Health

View full text Add to dashboard Cite

show abstract

“…Reports of agreement between self-report of autoimmune diseases and administrative records have been mixed and differ substantially between specific conditions. [28][29][30][31] In contrast, the maternity database is more likely to capture conditions regularly screened for during pregnancy or considered more consequential in pregnancy. For example, ITP, which increases the risk of postpartum hemorrhage, may be identified and recorded during pregnancy due to full blood count testing performed as a part of routine antenatal care.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of autoimmune conditions in pregnant women in a tertiary maternity hospital: A cross-sectional survey and maternity database review

et al. 2020

View full text Add to dashboard Cite

Background Autoimmune conditions are associated with adverse pregnancy and offspring outcomes; however, the prevalence in pregnant women is not well understood. Estimates based on administrative data alone may underestimate prevalence. Methods A cross-sectional survey of women attending a tertiary referral hospital for antenatal care in Dec 2018–Feb 2019 and review of the hospital’s maternity database of women giving birth from October 2017–June 2018 to estimate autoimmune disease prevalence. Results A total of 400 women completed surveys (78% response rate) and 41 (10.3%) reported an autoimmune disease, most commonly Hashimoto’s thyroiditis (2.8%) and psoriasis (2.5%). From the maternity database, 112 of 2756 women giving birth (4.1%) had a recorded autoimmune disease, most commonly Hashimoto’s thyroiditis (1.3%) followed by coeliac disease, Graves’ disease, and immune thrombocytopenic purpura (all 0.4%). Conclusion Autoimmune disease prevalence in pregnant women is higher when self-reported and may be more common than previously reported using administrative data.

show abstract

“…The MAILES study has a sound epidemiological base, a comparatively large sample of randomly selected community-dwelling men and a high overall response rate, allowing its findings to be generalized to the broader population [19]. As with most cohort studies, the key limitation of the MAILES study is its reliance on self-reported information for some lifestyle and medical factors, such as rheumatic diseases [50]. However, De-Loyde et al [51] reported that the use of patient self-reported questionnaires to ascertain comorbid conditions remains a valid method for health services research, as shown in the sensitivity analyses which indicated the same conclusion for using clinically diagnosed or medication-based anxiety and depression.…”

Section: Discussionmentioning

confidence: 99%

The effect of multimorbidity patterns, and the impact of comorbid anxiety and depression, on primary health service use: the Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) Study

Martin

Adams

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Multimorbidity has been identified as a serious challenge on global health system, closely associated with lower quality of life, poorer health outcomes, and higher utilisation of health services. However, there are major gaps in our knowledge around multimorbidity, especially its effect on primary care services and the burden of comorbid mental health conditions on multimorbidity patterns. This study sought to determine patterns of multimorbidity and quantify their impact on use of primary health services in the presence and absence of anxiety and depression among a cohort of urban community-dwelling men. Methods: This was a prospective cohort study with Australian population. The study population consisted of 2,039 men aged ≥40, who were enrolled either in the Florey Adelaide Male Ageing Study (FAMAS) Stage 2 between 2007-2010 or in the North-West Adelaide Health Study (NWAHS) Stage 3 between 2008-2010. Data have been collected on the prevalence of 8 chronic conditions and linked Medicare data about individual health service utilization information on annual GP visits. Multinomial logistic regression was adopted to quantify the impact of anxiety and depression on the frequencies of GP visits, with adjustment for participant’s demographic and lifestyle characteristics. Results: Obesity and cardiovascular disease (CVD) were associated with the highest number of comorbid conditions. Two non-random multimorbidity “clusters” emerged: (CVD, Obesity, Diabetes) and (CVD, Obesity, Osteoarthritis). Participants with conditions comorbid with CVD were more likely to have 10 or more annual GP visits, compared to multimorbidity involving other conditions. Comparing to participants without CVD, the presence of CVD increased the chance of having 10 or more annual GP visits (adjusted risk ratio: 3.7; 95% CI: 2.8-4.8). When CVD was comorbid with anxiety and depression having 10 or more annual GP visits was more common (adjusted risk ratio: 1.8; 95% CI: 1.2-2.5). Conclusions: In Australian, community-dwelling men, multimorbidity is associated with a high use of GP services; especially for multimorbidity that includes CVD with comorbid anxiety and depression. Multimorbidity patterns involving CVD should be considered in developing clinical trials to better inform medical decision making and care for patients with CVD and comorbid conditions.

show abstract

The Accuracy of Self-report in Rheumatic Diseases

Cited by 7 publications

References 16 publications

The Effect of Multimorbidity Patterns and the Impact of Comorbid Anxiety and Depression on Primary Health Service Use: The Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) Study

The Effect of Multimorbidity Patterns and the Impact of Comorbid Anxiety and Depression on Primary Health Service Use: The Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) Study

Prevalence of autoimmune conditions in pregnant women in a tertiary maternity hospital: A cross-sectional survey and maternity database review

The effect of multimorbidity patterns, and the impact of comorbid anxiety and depression, on primary health service use: the Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) Study

Contact Info

Product

Resources

About