Health-related quality of life of people with multimorbidity at a community-based, interprofessional student-assisted clinic: Implications for assessment and intervention

Tyack, Zephanie; Kuys, Suzanne; Cornwell, Petrea; Frakes, Kerrie-Anne; McPhail, Steven

doi:10.1177/1742395317724849

Cited by 13 publications

(14 citation statements)

References 30 publications

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“…Another interesting finding in our study was the significant association between multimorbidity and the EQ5D domain of pain/discomfort. The domain of pain/ discomfort has the highest percentage of reported problems in our study and this is similar to other studies [12,36,39,44] Chronic pain is a common, complex, and challenging condition and the extent to which multimorbidity is associated with chronic pain in the middle-aged population is unknown. A cross-sectional analysis of the elderly MultiCare Cohort Study sample found that chronic pain, as measured by the Graded Chronic Pain Scale [45] was largely associated with chronic lower back problems [17] In our study, we were not able to distinguish if participants who reported problems to pain/discomfort had chronic or acute pain, neither were we able to determine the cause(s) of the participants' pain/discomfort.…”

Section: Discussionsupporting

confidence: 91%

How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting

Sim¹,

Koh²,

Lee³

et al. 2020

BMC Fam Pract

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Background Multimorbidity is of increasing prevalence and importance. It has been associated with poorer health-related quality of life (HrQoL) especially in the elderly population. Despite substantial multimorbidity in the middle-aged population, defined as those aged between 40-64 years old, there is a paucity of research investigating the impact of multimorbidity in this population. This study aimed to investigate the association between multimorbidity and HrQoL in the middle-aged primary care population in Singapore. Methods A cross-sectional study was conducted at a primary care centre in Singapore. Interviewer-administered questionnaires were used to collect data regarding the participants’ sociodemographic characteristics, chronic conditions, and HrQoL, as measured by the EuroQol five dimensions 3-levels questionnaire (EQ5D). We defined multimorbidity as the presence of three or more conditions, out of a list of 14 chronic conditions. The associations between multimorbidity and the components of the EQ5D were assessed using multivariable regression analyses. Results The study included 297 participants, aged 40–64 years, of which 124 (41.7%) had multimorbidity. After adjusting for sociodemographic factors, participants with multimorbidity had significantly lower EQ5D UI, (β-coefficient − 0.064 (C.I -0.125, − 0.003), p = 0.04), but not significantly lower EQ5D VAS, (β-coefficient − 0.045 (C.I 0.102, 0.012), p = 0.12). Additionally, participants with multimorbidity had higher odds (OR = 2.41, p = 0.01) of reporting problems due to pain/discomfort. Conclusion Multimorbidity was not significantly associated with the overall health state, as measured by the EQ5D VAS, in middle-aged primary care patients. However, it was associated with the EQ5D UI which is a composite measure of five specific domains of HrQoL. Specifically, there was a statistically significant association between multimorbidity and the pain domain. Further studies are required to understand the relationship between multimorbidity and pain to enable physicians to better manage pain and HrQoL in this population.

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Section: Discussionsupporting

confidence: 91%

How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting

Sim¹,

Koh²,

Lee³

et al. 2020

BMC Fam Pract

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“…Some researchers have analyzed specific factors related to back pain such as pain location 8.9 , intensity 10,11 , frequency 9 , severity 8,10,12 , and coexistence of pain sites 10 . Others have evaluated musculoskeletal diseases, including back pain 7,12,13,14,15 . However, to our knowledge, few authors have evaluated a set of characteristics of back pain in the same study, which is important for a more comprehensive perspective on the subject.…”

Section: Introductionmentioning

confidence: 99%

Health-related quality of life (SF-36) in back pain: a population-based study, Campinas, São Paulo State, Brazil

Iguti

Guimarães

2021

Cad. Saúde Pública

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Our study aimed at assessing back pain impact over health-related quality of life (HRQoL). This is a cross-sectional population-based study that analyzed 1,192 adults. The dependent variables were the SF-36 scales and the main independent variables was back pain characterized by location, number of back pain region, intensity, frequency and limitations. Simple and multiple linear regression models were performed to estimate the crude and adjusted beta-coefficients (gender, age, schooling and co-morbidity conditions). Back pain prevalence were 35.4%. For HRQoL, comparing people with/without back pain, we found weak associations for the physical component (β = -3.6). However, strong associations were found for physical component (β = -12.4) when there were concomitant pain in cervical, dorsal and lumbar sites and also associations with mental health scales. Daily pain was associated with physical (β = -6.8) and mental (β = -2.7) components. Important impact on physical componente summary was found for intense/very intense pain (β = -7.9) and pain with severe limitation (β = -11.5). The impacts over HRQoL were strong when back pain was followed by (1) multiple back sites, (2) with pain in mental componente summary, (3) daily complaints, (4) very intense pain and (5) severe limitations; these results have revealed the importance to measure specific factors related to back pain.

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“…The domain of pain/discomfort has the highest percentage of reported problems in our study and this is similar to other studies. 12,36,39,44 Chronic pain is a common, complex, and challenging condition and the extent to which multimorbidity is associated with chronic pain in the middle-aged population is unknown. A cross-sectional analysis of the elderly MultiCare Cohort Study sample found that chronic pain, as measured by the Graded Chronic Pain Scale 45 was largely associated with chronic lower back problems.…”

Section: Discussionmentioning

confidence: 99%

How does Multimorbidity affect Middle-Aged Adults? A Cross-Sectional Survey in the Singapore Primary Healthcare Setting.

Sim¹,

Koh²,

Lee³

et al. 2020

Preprint

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Background Multimorbidity is of increasing prevalence and importance. It has been negatively associated with health-related quality of life (HrQoL) especially in the elderly population. Despite substantial multimorbidity for the middle-aged population, defined as those between 40-64 years old, there is a paucity of research investigating the impact of multimorbidity in this population. This study aimed to investigate the association between multimorbidity and HrQoL in the middle-aged primary care population in Singapore. Methods A cross-sectional study was conducted at a primary care centre in Singapore. Interviewer-administered questionnaires were used to collect data regarding the participants’ sociodemographic characteristics, chronic conditions, and HrQoL, as measured by the EuroQol five dimensions 3-levels questionnaire (EQ5D). We defined multimorbidity as the presence of three or more conditions, out of a list of 14 chronic conditions. The associations between multimorbidity and the components of the EQ5D were assessed using multivariable regression analyses. Results The study included 297 participants, aged 40-64 years, of which 124 (41.7%) had multimorbidity. After adjusting for sociodemographic factors, participants with multimorbidity had significantly lower EQ5D UI, (β-coefficient -0.064 (C.I -0.125, -0.003), p = 0.04), but not significantly lower EQ5D VAS, (β-coefficient -0.045 (C.I 0.102, 0.012), p = 0.12). Additionally, participants with multimorbidity had higher odds (OR = 2.41, p = 0.01) of reporting problems due to pain/discomfort. Conclusion Multimorbidity was not significantly associated with the overall health state, as measured by the EQ5D VAS, in middle-aged primary care patients. However, it was associated with the EQ5D UI which is a composite measure of five specific domains of HrQoL. Specifically, there was a statistically significant association between multimorbidity and the pain domain. Further studies are required to understand the relationship between multimorbidity and pain to enable physicians to better manage pain and HrQoL in this population

show abstract

Health-related quality of life of people with multimorbidity at a community-based, interprofessional student-assisted clinic: Implications for assessment and intervention

Cited by 13 publications

References 30 publications

How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting

How does multimorbidity affect middle-aged adults? A cross-sectional survey in the Singapore primary healthcare setting

Health-related quality of life (SF-36) in back pain: a population-based study, Campinas, São Paulo State, Brazil

How does Multimorbidity affect Middle-Aged Adults? A Cross-Sectional Survey in the Singapore Primary Healthcare Setting.

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