Levels Of Multimorbidity Research Articles

Impacts of multi-morbidity, hemoglobin levels, and frailty on functional disability of older adult residents of long-term care facilities: A structural equation analysis.

Previous studies have focused on the relationship between multi-morbidity, frailty, and anemia or functional disability alone rather than in combination. This study aimed to explore the impacts of multi-morbidity, hemoglobin levels, and frailty on functional disability simultaneously in older adult residents of long-term care facilities. This was a cross-sectional study. Data were retrieved from the electronic health records of eight long-term care facilities. Data from a total of 352 subjects aged at least 60 years and residing in these facilities for at least 6 months were analysed. Analytic datasets included the Barthel Index of Activities of Daily Living, the Frailty Phenotype Criteria, the number of chronic diseases, hemoglobin levels, age, and gender. The final model demonstrated acceptable goodness-of-fit indices, namely goodness-of-fit index, comparative fit index, and incremental fit index ≧0.90, root mean square error of approximation <0.08, and insignificance of χ2 (P > 0.05). Frailty, multi-morbidity, and hemoglobin levels all had direct associations with functional disability (all P < 0.001). Hemoglobin levels had a direct association with frailty (ß=-0.11). Multi-morbidity had an indirect association (ß=0.04) with functional disability through hemoglobin levels. Hemoglobin levels had an indirect association (ß=0.05) with functional disability through frailty. The impacts of multi-morbidity, hemoglobin levels, and frailty on functional disability were explored. A high-quality disease management program, interventions for the prevention of frailty, and the provision of continued education for staff about reducing progressive frailty and functional disability for older adult residents are recommended. Geriatr Gerontol Int 2021; 21: 532-537.

Sex differences in multimorbidity and polypharmacy trends: A repeated cross-sectional study of older adults in Ontario, Canada.

Multimorbidity is increasing among older adults, but the impact of these recent trends on the extent and complexity of polypharmacy and possible variation by sex remains unknown. We examined sex differences in multimorbidity, polypharmacy (5+ medications) and hyper-polypharmacy (10+ medications) in 2003 vs 2016, and the interactive associations between age, multimorbidity level, and time on polypharmacy measures. We employed a repeated cross-sectional study design with linked health administrative databases for all persons aged ≥66 years eligible for health insurance in Ontario, Canada at the two index dates. Descriptive analyses and multivariable logistic regression models were conducted; models included interaction terms between age, multimorbidity level, and time period to estimate polypharmacy and hyper-polypharmacy probabilities, risk differences and risk ratios for 2016 vs 2003. Multimorbidity, polypharmacy and hyper-polypharmacy increased significantly over the 13 years. At both index dates prevalence estimates for all three were higher in women, but a greater absolute increase in polypharmacy over time was observed in men (6.6% [from 55.7% to 62.3%] vs 0.9% [64.2%-65.1%] for women) though absolute increases in multimorbidity were similar for men and women (6.9% [72.5%-79.4%] vs 6.2% [75.9%-82.1%], respectively). Model findings showed that polypharmacy decreased over time among women aged < 90 years (especially for younger ages and those with fewer conditions), whereas it increased among men at all ages and multimorbidity levels (with larger absolute increases typically at older ages and among those with 4 or fewer conditions). There are sex and age differences in the impact of increasing chronic disease burden on changes in measures of multiple medication use among older adults. Though the drivers and health consequences of these trends warrant further investigation, the findings support the heterogeneity and complexity in the evolving association between multimorbidity and polypharmacy measures in older populations.

Assessing the Impact of Multi-Morbidity and Related Constructs on Patient Reported Safety in Primary Care: Generalized Structural Equation Modelling of Observational Data.

We aimed to examine the complex relationships between patient safety processes and outcomes and multimorbidity using a comprehensive set of constructs: multimorbidity, polypharmacy, discordant comorbidity (diseases not sharing either pathogenesis nor management), morbidity burden and patient complexity. We used cross-sectional data from 4782 patients in 69 primary care centres in Spain. We constructed generalized structural equation models to examine the associations between multimorbidity constructs and patient-reported patient safety (PREOS-PC questionnaire). These associations were modelled through direct and indirect (mediated by increased interactions with healthcare) pathways. For women, a consistent association between higher levels of the multimorbidity constructs and lower levels of patient safety was observed via either pathway. The findings for men replicated these observations for polypharmacy, morbidity burden and patient complexity via indirect pathways. However, direct pathways showed unexpected associations between higher levels of multimorbidity and better safety. The consistent association between multimorbidity constructs and worse patient safety among women makes it advisable to target this group for the development of interventions, with particular attention to the role of comorbidity discordance. Further research, particularly qualitative research, is needed for clarifying the complex associations among men.

Abdominal Aortic Aneurysm - Disease or a Defect - Patients’ Perceptions of Aortic Aneurysm in the Presence of Multimorbidity

ObjectivesAbdominal aortic aneurysm is associated with substantial comorbidity and significant long-term mortality. Reduction of cardiovascular risk factors and smoking cessation improves prognosis, but implementation of recommendations is suboptimal. Patient's disease-awareness and level of multimorbidity are important factors affecting treatment- adherence. This study explored the perception of disease in patients with abdominal aortic aneurysms and multimorbidity. MethodsIn a qualitative design we assessed patients’ perception of aortic aneurysms in the presence of multimorbidity and cardiovascular risk factors. We conducted a workshop including patients from the aneurysm ultrasound-surveillance-program at a tertiary vascular department. Data from the workshop were analyzed using a qualitative exploratory design with an inductive approach. ResultsA total of 10 patients with abdominal aortic aneurysm and multimorbidity participated in the workshop. Three categories describing the patient's perception of disease emerged from the analysis. (1) Abdominal aortic aneurysm is not a disease; it is a defect, (2) Someone else is in control, (3) Abdominal aortic aneurysm is an isolated condition. ConclusionPatients with abdominal aortic aneurysms and multimorbidity did not perceive their aneurysm as a disease, but merely as a bodily defect. Growth and rupture of the aneurysm were the main concerns related to the condition, and the participants relied solely on the health professionals to control this by regular ultrasound-surveillance. Consequently, the participants did not perceive abdominal aortic aneurysm as a motivation for cardiovascular risk factor modification by optimization in medication or smoking-cessation.

Use of the Long-Term Conditions Questionnaire (LTCQ) for monitoring health-related quality of life in people affected by cognitive impairment including dementia: pilot study in UK memory clinic services

PurposeThe aim of this study was to validate the Long-Term Conditions Questionnaire (LTCQ) among patients using memory clinic services in England. LTCQ is a short self-administered measure of ‘living well with long-term conditions’ that has not been previously tested in patients with cognitive impairment.MethodsThe mixed-methods study included cognitive interviews to test the comprehensibility and content validity of LTCQ from the patient’s perspective, followed by a pilot survey to test the measure’s internal consistency, construct validity, structural validity, and responsiveness. Participants were recruited through memory clinics following a diagnosis of mild cognitive impairment or dementia.ResultsInterview respondents (n = 12) all found LTCQ’s content relevant, with only minor formatting modifications required. Among survey respondents (n = 105), most patients (86%) were able to self-report answers to LTCQ. High multimorbidity among the sample was associated with reduced LTCQ and EQ-5D scores. Internal consistency of LTCQ was high (Cronbach’s α = 0.93), no floor or ceiling effects were observed, and missing data levels were low. Factor analysis results further supported LTCQ’s structural validity, and predicted positive correlation with EQ-5D indicated construct validity. Score changes observed in a four-month follow-up survey (n = 61) are suggestive of LTCQ’s responsiveness.ConclusionLTCQ is a valid means of assessing health-related quality of life for people living with cognitive impairment (including dementia) in the early period of support following diagnosis. Owing to high levels of multimorbidity in this patient population, LTCQ offers an advantage over dementia-specific measures in capturing the cumulative impact of all LTCs experienced by the patient.

Does positive affect mediate the association of multimorbidity on depressive symptoms?

Objectives Multimorbidity poses various challenges, and previous research has indicated a causal relation with depression. As multimorbidity is not curable, the underlying mechanisms are of great interest. Positive affect is a major resource for coping with chronic conditions and for the prevention of depression. Long-term multimorbidity, however, may deplete positive affect. The purpose of this paper is to investigate the role of positive affect in the association between multimorbidity and depressive symptoms. Method We used four consecutive waves (2008, 2011, 2014, 2017) of the nationally representative German Ageing Survey (DEAS) with a total of 1,558 older adults aged 40 and over. To account for time-varying confounding, exposure-induced mediator-outcome confounding, and reciprocities, we applied the mediational g-formula with inverse-probability weighting techniques. We also tested for exposure-mediator interaction to adjust for differences in mediation across the duration of multimorbidity. Results We confirmed a positive longitudinal relation between multimorbidity and depressive symptoms, both of which were negatively associated with while positive affect. The model without interaction indicated a share mediated of ca. 18.3% on the total effect of multimorbidity on depressive symptoms. Addition of interaction led to substantial differences for multimorbidity duration and levels of positive affect. Associations for long-term multimorbidity (at least two survey waves) were more substantial, and the share mediated doubled (>40%). Additionally, the direct effect of multimorbidity on depressive symptoms diminished for short-term multimorbidity. Conclusion Strengthening positive affect could reduce depressive symptoms in those facing multimorbidity. This study also discusses methodological challenges in performing longitudinal mediation analysis. We advise researchers to consider the mediational g-formula and exposure-mediator interaction.

Impact of non-communicable disease multimorbidity on health service use, catastrophic health expenditure and productivity loss in Indonesia: a population-based panel data analysis study

ObjectivesTo examine non-communicable diseases (NCDs) multimorbidity level and its relation to households’ socioeconomic characteristics, health service use, catastrophic health expenditures and productivity loss.DesignThis study used panel data of the Indonesian...

Multimorbidity from Chronic Conditions among Adults in Urban Slums: The AWI-Gen Nairobi Site Study Findings

Background:In the era of double burden of infectious and non-communicable diseases in sub-Saharan Africa, the burden of multimorbidity is likely to be common. However, there is limited evidence on the burden and its associated factors in the sub-Saharan African context.Objective:The aim of this study was to determine the levels and identify determinants of multimorbidity from chronic conditions in two urban slums in Nairobi.Methods:Data collected from 2003 study participants aged 40–60 years in two urban slums of the Nairobi Urban Health and Demographic Surveillance System in 2015 were used. Using self-report, anthropometry and key biomarkers, data on 16 conditions including chronic diseases, behavioral disorders and metabolic abnormalities were gathered. Lifetime multimorbidity defined by the occurrence of at least two chronic conditions in an individual at any time during their life course was computed. Factors associated with lifetime multimorbidity were identified using multiple logistic regression.Findings:A total of 2,081 chronic conditions were identified among 1,302 individuals. While 701 (35.0%) had no chronic condition, single morbidity was reported in 726 (36.2%) of the study population. The overall prevalence of lifetime multimorbidity was 28.7%. The prevalence of dyads and triads of simultaneous occurrences of conditions (episodic multimorbidity) was 20.8% and 6.1%, respectively. Single morbidity was positively associated with gender and alcohol consumption; and negatively associated with employment. Women, older people, the unemployed, current smokers and current alcohol consumers had higher levels of lifetime multimorbidity in the study population.Interpretation:The findings of this study indicate that a considerable proportion of adults living in urban slums experience multimorbidity from chronic conditions. Further studies with a better rigor to establish temporal associations between socio-demographic factors and the occurrence of chronic conditions are needed to explore the impacts and implications on health status and health system.

Antihypertensive therapy features in multimorbid outpatients

Objective. To assess the characteristics of antihypertensive therapy (AHT) in outpatient patients in relation to comorbidities and multimorbidity level. Design and methods. A cross-sectional study included 140 patients with diagnosed hypertension (HTN). We performed a standardized complaints and medical history registration, questionnaire survey, anthropometry, office blood pressure (BP) assessment. Based on Charlson index the patients were divided into 2 groups: group 1 with moderate multimorbidity (≤ 4 points), group 2 with high multimorbidity level (≥ 5 points). The data are presented as median and proportions with bi-directional 95 % confidence interval. Results. In the sampling of 100 (64,3 71,4 78,6 %) women and 40 (21,4 28,6 35,7 %) men median age was 65 68 70, median Charlson index was 4 5 5. Group with moderate multimorbidity included 63 patients. High multimorbidity group included 77 subjects. HTN degree did not differ between the groups. Subjects from group 2 had higher level of cardiovascular risk (χ2 = 17,2, df = 2, p = 0,00018) and were more likely to have a history of HTN-associated clinical conditions (χ2 = 27,1, df = 2, p = 0,00000). By the time of examination, AHT was started in 137 (95,097,9 100,0%) patients. Monotherapy was ongoing in 20 cases (8,814,3 20,4%), combined AHT was prescribed to 117 (79,6 85,4 91,2 %) persons: 50 (21,2 36,5 43,8 %) patients received 2 drugs, 67 (40,9 48,9 56,9 %) patients received ≥ drugs. Number of antihypertensive drugs was higher in patients of group 2 than in group 1 (χ2 = 6,7, df = 2, p = 0,036). Drug number was not associated with HTN degree (χ2 = 3,8, df = 4, p = 0,44). Patients from group 2 were more likely to take β1-blockers (p = 0,027) and moxonidine (p = 0,042). Non-steroid anti-inflammatory drugs (NSAIDs) reduced the frequency of achieving the target BP level in patients treated by angiotensin converting enzyme inhibitors (p = 0,002). The frequency of achieving target BP was 42,9 50,7 58,6 %, it was independent of the number of prescribed drugs (p = 0,07) and did not differ in the groups of moderate and high multimorbidity (p = 0,87). Conclusions. Multimorbid patients require combined antihypertensive drugs to control hypertension. Multimorbidity level, comorbidities and drug-to-drug interactions should be taken into account during individualized HTN management. NSAID significantly affect the effectiveness of antihypertensive therapy.

Effect of socio-demographic and health factors on the association between multimorbidity and acute care service use: population-based survey linked to health administrative data

BackgroundThis study explores how socio-demographic and health factors shape the relationship between multimorbidity and one-year acute care service use (i.e., hospital, emergency department visits) in older adults in Ontario, Canada.MethodsWe linked multiple cycles (2005–2006, 2007–2008, 2009–2010, 2011–2012) of the Canadian Community Health Survey (CCHS) to health administrative data to create a cohort of adults aged 65 and older. Administrative data were used to estimate one-year service use and to identify 12 chronic conditions used to measure multimorbidity. We examined the relationship between multimorbidity and service use stratified by a range of socio-demographic and health variables available from the CCHS. Logistic and Poisson regressions were used to explore the association between multimorbidity and service use and the role of socio-demographic factors in this relationship.ResultsOf the 28,361 members of the study sample, 60% were between the ages of 65 and 74 years, 57% were female, 72% were non-immigrant, and over 75% lived in an urban area. Emergency department visits and hospitalizations consistently increased with the level of multimorbidity. This study did not find strong evidence of moderator or interaction effects across a range of socio-demographic factors. Stratified analyses revealed further patterns, with many being similar for both services – e.g., the odds ratios were higher at all levels of multimorbidity for men, older age groups, and those with lower household income. Rurality and immigrant status influenced emergency department use (higher in rural residents and non-immigrants) but not hospitalizations. Multimorbidity and the range of socio-demographic variables remained significant predictors of service use in the regressions.ConclusionsStrong evidence links multimorbidity with increased acute care service use. This study showed that a range of factors did not modify this relationship. Nevertheless, the factors were independently associated with acute care service use, pointing to modifiable risk factors that can be the focus of resource allocation and intervention design to reduce service use in those with multimorbidity. The study’s results suggest that optimizing acute care service use in older adults requires attention to both multimorbidity and social determinants, with programs that are multifactorial and integrated across the health and social service sectors.

Outreach-based clinical pharmacist prescribing input into the healthcare of people experiencing homelessness: a qualitative investigation

BackgroundSeverely and multiply disadvantaged members of the homeless population are disproportionately vulnerable to exceptionally high levels of multi-morbidity and premature death. Given widespread calls for the development of interventions that might improve the uptake and effectiveness of healthcare for this population, this study investigated patient and other stakeholder perspectives regarding an outreach service, delivered by prescribing pharmacists in collaboration with a local voluntary sector provider, within homelessness services and on the street in Glasgow (UK).MethodsThe qualitative study involved semi-structured face-to-face interviews with 40 purposively sampled individuals with current or recent experience of homelessness (32 of whom had direct experience of the service and 8 of whom did not), all (n = 4) staff involved in frontline delivery of the service, and 10 representatives of stakeholder agencies working in partnership with the service and/or with the same client group. Pseudonymised verbatim interview transcriptions were analysed systematically via thematic and framework analysis.ResultsThe service was effective at case finding and engaging with patients who were reluctant to utilise or physically unable to access existing (mainstream or specialist ‘homeless’) healthcare provision. It helped patients overcome many of the barriers that homeless people commonly face when attempting to access healthcare, enabled immediate diagnosis and prescription of medication, and catalysed and capitalised on windows of opportunity when patients were motivated to address healthcare needs. A number of improvements in health outcomes, including but not limited to medication adherence, were also reported.ConclusionsA proactive, informal, flexible, holistic and person-centred outreach service delivered within homelessness service settings and on the street can act as a valuable bridge to both primary and secondary healthcare for people experiencing homelessness who would otherwise ‘fall through the gaps’ of provision. Prescribing pharmacist input coupled with third sector involvement into healthcare for this vulnerable population allows for the prompt treatment of and/or prescription for a range of conditions, and offers substantial potential for improving health-related outcomes.

Exploring GP work in areas of high socioeconomic deprivation: a secondary analysis.

BackgroundThere is a GP workforce crisis, particularly in areas of high socioeconomic deprivation where levels of multimorbidity and social complexity are higher than in areas of low socioeconomic deprivation. How this impacts GP work, and how GPs manage workload has not been fully explored.AimTo explore GP work in areas of high socioeconomic deprivation and the strategies GPs employ, using Corbin and Strauss’s framework on managing chronic illness as an analytical lens.Design & settingSecondary analysis of qualitative in-depth interviews with GPs working with populations experiencing high levels of socioeconomic deprivation.MethodSecondary analysis of in-depth interviews with GPs working in areas of high socioeconomic deprivation (n = 10).ResultsAll three types of work defined by Corbin and Strauss (everyday, illness, and biographical) were described, and one additional type: emotional (work managing GPs’ own emotions). The context of socioeconomic deprivation, increased multimorbidity plus social complexity (’multimorbidity plus’), influenced GP work. Healthcare systems and self-management strategies did not meet patients’ needs, which meant the resulting gap created extra everyday work, often unrecognised (which was a source of frustration). GPs also described taking on ’illness work’ for patients who were either overwhelmed or unable to do it. Some GPs described biographical work, asserting their professional role against demands from patients and other professionals. Work aligning with personal values was important in sustaining motivation; for example, being part of a strong team and having outside professional interests appeared to build resilience.ConclusionGPs working in areas of high socioeconomic deprivation experience different types of work from those working in areas of low socioeconomic deprivation; much of which is unrecognised and not resourced. Current strategies to reduce burnout could be more effective if the complexity of different types of work was addressed. In addition, personal values, practice teams, and outside professional interests all need to be supported.

Multimorbidity, Disadvantage, and Trends in Disability-Free Life Expectancy: The CFAS Studies

The combined contribution of multi-morbidity and socio-economic position (SEP) to trends in disability free life expectancy (DFLE) is unknown. We use longitudinal data from the Cognitive Function and Ageing Studies (CFAS I: 1991; CFAS II: 2011), with two year follow up. Disability was defined as difficulty in activities of daily living, and SEP as area-level deprivation. Multi-morbidity was constructed from nine self-reported health conditions and categorised as 0-1, 2-3, 4+ diseases. In 1991 and 2011, shorter total and disability-free years were associated with greater multi-morbidity. Between 1991 and 2011, gains in life expectancy and DFLE were observed at all levels of multi-morbidity, the greatest gain in DFLE being 4 years for men with 0-1 diseases. As multi-morbidity is more prevalent in more disadvantaged groups, further analyses will investigate whether SEP differences remain at all levels of multi-morbidity.

Electronic Health Records As a Platform for Audiological Research: Data Validity, Patient Characteristics, and Hearing-Aid Use Persistence Among 731,213 U.S. Veterans.

This article presents a summary of audiological, general health, and hearing aid (HA) outcome data in a large sample of U.S. Veterans receiving HAs. The current article also provides the foundation for a series of papers that will explore relationships between a wide range of factors and HA outcomes. The patient sample is all (n = 731,213) patients for whom HAs were ordered between April 2012 and October 2014 through the U.S. Veterans Health Administration Remote Order Entry System. For these patients, Veterans Affairs electronic health records (EHRs) stored in various databases provided data on demographics, received diagnostic and procedure codes (2007 to 2017), audiometry, self-reported outcomes up to 6 months postfitting, and HA battery orders (to 2017). Data cleaning and preparation was carried out and is discussed with reference to insights that provide potential value to other researchers pursuing similar studies. HA battery order data over time was used to derive a measure of long-term HA use persistence. Descriptive statistics were used to characterize the sample, comparative analyses against other data supported basic validity assessment, and bivariate analyses probed novel associations between patient characteristics and HA use persistence at 2 years postfitting. Following extensive cleaning and data preparation, the data show plausible characteristics on diverse metrics and exhibit adequate validity based on comparisons with other published data. Further, rates of HA use persistence are favorable when compared against therapy persistence data for other major chronic conditions. The data also show that the presence of certain comorbid conditions (Parkinson's disease, diabetes, arthritis, and visual impairment) are associated with significantly lower HA use persistence, as are prior inpatient admissions (especially among new HA recipients), and that increasing levels of multimorbidity, in general, are associated with decreasing HA use persistence. This is all despite the fact that deriving relevant audiological care-process variables from the available records was not straightforward, especially concerning the definition of the date of HA fitting, and the use of battery ordering data to determine long-term HA use persistence. We have shown that utilizing EHRs in audiology has the potential to provide novel insights into clinical practice patterns, audiologic outcomes, and relations between factors pertaining to hearing and to other health conditions in clinical populations, despite the potential pitfalls regarding the lack of control over the variables available and limitations on how the data are entered. We thus conclude that research using EHRs has the potential to be an integral supplement to population-based and epidemiologic research in the field of audiology.

Physical Activity as a Mediator in the Relationship Between Race or Ethnicity and Changes in Multimorbidity

Racial/ethnic disparities in multimorbidity (≥2 chronic conditions) and their rate of accumulation over time have been established. Studies report differences in physical activity across racial/ethnic groups. We investigated whether racial/ethnic differences in accumulation of multimorbidity over a 10-year period (2004-2014) were mediated by physical activity using data from the Health and Retirement Study (N = 10,724, mean age = 63.5 years). Structural equation modeling was used to estimate a latent growth curve model of changes in the number of self-reported chronic conditions (of nine) and investigate whether the relationship of race/ethnicity (non-Hispanic Black, Hispanic, non-Hispanic White) to change in the number of chronic conditions was mediated by physical activity after controlling for age, sex, education, marital status, personal wealth, and insurance coverage. Results indicated that Blacks engaged in significantly lower levels of physical activity than Whites (b = -.171, □ = -.153, p < .001), but there were no differences between Hispanics and Whites (b = -.010, □ = -.008, ns). Physical activity also significantly predicted both lower initial levels of multimorbidity (b = -1.437, □ = -.420, p < .001) and greater decline in multimorbidity (b = -.039, □ = -.075, p < .001). The indirect (mediational) effect for the Black vs. White comparison was significant (b = .007, □ = .011, 95% CI [.004,.010]). These results provide important new information for understanding how modifiable lifestyle factors may help explain disparities in multimorbidity in middle and later life, suggesting greater need to reduce sedentary behavior and increase activity.

Effect Measure Modification of Multimorbidity On the Association Between Regularity of General Practitioner Contact and Potentially Avoidable Hospitalisations

IntroductionRegular contact with a general practitioner (GP) has been shown to lower the risk of potentially avoidable hospitalisations (PAHs) independently of continuity of provider and frequency of contact. Multimorbidity affects between 55 and 98% people aged 65+ years and continues to place pressure on healthcare systems globally. However, little is known about its impact on the relationship between continuity of primary care and PAHs.&#x0D; Objectives and ApproachA retrospective, longitudinal cohort study using survey data linked to routinely-collected administrative health data from the 45 and Up Study conducted in New South Wales, Australia was used to investigate the effect measure modification by multimorbidity on the relationship between regularity of GP contact and PAHs.&#x0D; Multimorbidity was assessed using the Rx-Risk comorbidity score, which captures the number of condition groups, assigned based on medicine dispensing records, using a 5-year look-back period. PAHs were: (i) any unplanned hospitalisations, (ii) chronic ambulatory care sensitive conditions (ACSC) hospitalisations or (iii) unplanned ACSC hospitalisations. Multivariable logistic regression and population attributable fractions (PAF) were used to examine effect measure modification by multimorbidity.&#x0D; ResultsHigher GP regularity was significantly associated with a reduction in the probability of each PAH type. This reduction diminished with increasing multimorbidity with the effect measure modification most apparent for chronic ACSC and unplanned chronic ACSC hospitalisations. The PAF of moving to the highest quintile of regularity significantly reduced with increasing multimorbidity. For example, a reduction in the PAF of unplanned ACSC hospitalisations of 31.1% was observed in those with a RX Risk score of &gt;10 (17.8%) compared with those with no multimorbidity (48.9%).&#x0D; Conclusion / ImplicationsWeakening of the relationship between GP visit regularity and PAHs with increasing levels of multimorbidity suggests a need to focus on improving primary care support to prevent PAHs for patients with multimorbidity.

Primary care consultation length by deprivation and multimorbidity in England: an observational study using electronic patient records

BackgroundLonger GP consultations are recommended as one way of improving care for people with multimorbidity. In Scotland, patients who are multimorbid and living in deprived areas do not have longer consultations, although their counterparts in the least deprived areas do. This example of the inverse care law has not been examined in England.AimTo assess GP consultation length by socioeconomic deprivation and multimorbidity.Design and settingRandom sample of 1.2 million consultations from 1 April 2014 to 31 March 2016 for 190 036 adults in England drawn from the Clinical Practice Research Datalink.MethodConsultation duration was derived from time of opening and closing the patient’s electronic record. Mean duration was estimated by multimorbidity level and type, adjusted for number of consultations and other patient and staff characteristics and patient and practice random effects.ResultsConsultations lasted 10.9 minutes on average and mean duration increased with number of conditions. Patients with ≥6 conditions had 0.9 (95% confidence interval [CI] = 0.8 to 1.0) minutes longer than those with none. Patients who are multimorbid and with a mental health condition had 0.5 (CI = 0.4 to 0.5) minutes longer than patients who were not multimorbid. However, consultations were 0.5 (CI = 0.4 to 0.5) minutes shorter in the most compared with the least deprived fifth of areas at all levels of multimorbidity.ConclusionGPs in England spend longer with patients who have more conditions, but, at all multimorbidity levels, those in deprived areas have less time per GP consultation. Further research is needed to assess the impact of consultation length on patient and system outcomes for those with multimorbidity.

The disease burden of multimorbidity and its interaction with educational level.

IntroductionPolicies to adequately respond to the rise in multimorbidity have top-priority. To understand the actual burden of multimorbidity, this study aimed to: 1) estimate the trend in prevalence of multimorbidity in the Netherlands, 2) study the association between multimorbidity and physical and mental health outcomes and healthcare cost, and 3) investigate how the association between multimorbidity and health outcomes interacts with socio-economic status (SES).MethodsPrevalence estimates were obtained from a nationally representative pharmacy database over 2007–2016. Impact on costs was estimated in a fixed effect regression model on claims data over 2009–2015. Data on physical and mental health and SES were obtained from the National Health Survey in 2017, in which the Katz-10 was used to measure limitations in activities of daily living (ADL) and the Mental Health Inventory (MHI) to measure mental health. SES was approximated by the level of education. Generalized linear models (2-part models for ADL) were used to analyze the health data. In all models an indicator variable for the presence or absence of multimorbidity was included or a categorical variable for the number of chronic conditions. Interactions terms of multimorbidity and educational level were added into the previously mentioned models.ResultsOver the past ten years, there was an increase of 1.6%-point in the percentage of people with multimorbidity. The percentage of people with three or more conditions increased with +2.1%-point. People with multimorbidity had considerably worse physical and mental health outcomes than people without multimorbidity. For the ADL, the impact of multimorbidity was three times greater in the lowest educational level than in the highest educational level. For the MHI, the impact of multimorbidity was two times greater in the lowest than in the highest educational level. Each additional chronic condition was associated with a greater worsening in health outcomes. Similarly, for costs, where there was no evidence of a diminishing impact of additional conditions either. In patients with multimorbidity total healthcare costs were on average €874 higher than in patients with a single morbidity.ConclusionThe impact of multimorbidity on health and costs seems to be greater in the sicker and lower educated population.

Abstract 15492: The Prognostic Role of Education Attainment Level in Individuals With Ischemic Heart Disease: Analysis From the Endocrine Vascular Approach Study

Introduction: Although adverse outcomes from cardiovascular disease (CVD) have been on a linear decline, the burden remains high. Addressing the social determinants of health in the care of CVD patients is emerging as a strategy for improving outcomes. Educational attainment level (EAL), a proxy of socioeconomic status, has been associated with both cardiovascular risk and patient’s ability to self-manage the complex cardiovascular treatment. Objective: To assess the impact of EAL on major adverse cardiovascular events (MACE) and all-cause death in patients with ischemic heart disease (IHD). Methods: Endocrine Vascular disease Approach (EVA) is a prospective observational study recruiting hospitalized patients with IHD undergoing coronary angiography and/or percutaneous coronary interventions. Socio-demographics and clinical data, including the level of multimorbidity defined by a Charlson Comorbidity Index≥ 4, were collected. A low-EAL, assessed through a self-reported questionnaire, was defined if at least elementary/middle school education was completed. The primary outcome was the occurrence of MACE (i.e. cardiovascular death, non-fatal myocardial infarction, non-fatal stroke) and a secondary composite endpoint (i.e. all-cause death, non-fatal myocardial infarction, non-fatal stroke) was also analyzed. Results: Among 460 individuals (mean age 67±11, 30% women) with IHD, 252 (55%) had a low-EAL. Individuals with low-EAL were younger and more likely to have heart failure, vascular encephalopathy, and high multimorbidity. A low-EAL was associated with a higher risk of MACE compared with higher EAL (Log-rank=12.29, p&lt;0.001) with similar results for the secondary outcome (Log-rank=9.45, p=0.002). In the adjusted multivariate regression analysis, low EAL was independently associated with MACE [Hazard Ration (HR): 2.31, 95% Confidence Interval (CI): 1.23-4.34, p=0.010] and secondary outcome [HR: 1.73, 95%CI 1.02-2.92, p=0.042] compared to high-EAL. Conclusion: Individuals with IHD and low-EAL had a higher risk of MACE and all-cause death. Interventions that specifically address health literacy and cognition should be tested among these high-risk patients to improve outcomes.

Multimorbidity in Patients With Acute Coronary Syndrome Is Associated With Greater Mortality, Higher Readmission Rates, and Increased Length of Stay: A Systematic Review.

The aims of this systematic review were to determine the magnitude and impact of multimorbidity (≥2 chronic conditions) on mortality, length of stay, and rates of coronary intervention in patients with acute coronary syndrome (ACS) and to compare the prevalence of cardiovascular versus noncardiovascular multimorbidities. MEDLINE, PubMed, MedlinePlus, EMBASE, OVID, and CINAHL databases were searched for studies published between 2009 and 2019. Eight original studies enrolling patients with ACS and assessing cardiovascular and noncardiovascular comorbid conditions met the inclusion criteria. Study quality was evaluated using the Crowe Critical Appraisal Tool. The most frequently examined cardiovascular multimorbidities included hypertension, diabetes, heart failure, atrial fibrillation, stroke/transient ischemic attack, coronary heart disease, and peripheral vascular disease; the most frequently examined noncardiovascular multimorbidities included cancer, anemia, chronic obstructive pulmonary disease, renal disease, liver disease, and depression. The prevalence of multimorbidity in the population with ACS is high (25%-95%). Patients with multimorbidities receive fewer evidence-based treatments, including coronary intervention and high-dose statins. Patients with multimorbidities experience higher in-hospital mortality (5%-13.9% vs 2.6%-6.1%), greater average length of stay (5-9 vs 3-4 days), and lower rates of revascularization (9%-14% vs 39%-42%) than nonmultimorbid patients. Women, despite being the minority in all sample populations, exhibited greater levels of multimorbidity than men. Multimorbid patients with ACS are at a greater risk for worse outcomes than their nonmultimorbid counterparts. Lack of consistent measurement makes interpretation of the impact of multimorbidity challenging and emphasizes the need for more research on multimorbidity's effects on postdischarge healthcare utilization.