Journal of Comorbidity
Not a member yet
68 research outputs found
Sort by
Improving the care of people with long-term conditions in primary care: protocol for the ENHANCE pilot trial
Full text linkBackground: Long-term conditions (LTCs) are important determinants of quality of life and healthcare expenditure worldwide. Whilst multimorbidity is increasingly the norm in primary care, clinical guidelines and the delivery of care remain focused on single diseases, resulting in poorer clinical outcomes. Osteoarthritis, and anxiety and/or depression frequently co-occur with other LTCs, yet are seldom prioritized by the patient or clinician, resulting in higher levels of disability, poorer prognosis, and increased healthcare costs. Objective: To examine the feasibility and acceptability of an integrated approach to LTC management, tackling the under-diagnosis and under-management of osteoarthritis-related pain and anxiety and/or depression in older adults with other LTCs in primary care. Design: The ENHANCE study is a pilot stepped-wedge cluster randomized controlled trial to test the feasibility and acceptability of a nurse-led ENHANCE LTC review consultation for identifying, assessing, and managing joint pain, and anxiety and/or depression in patients attending LTC reviews. Specific objectives (process evaluation and research outcomes) will be achieved through a theoretically informed mixed-methods approach using participant self-reported questionnaires, a medical record review, an ENHANCE EMIS template, qualitative interviews, and audio recordings of the ENHANCE LTC review. Discussion: Success of the pilot trial will be measured against the level of the primary care team engagement, assessment of training delivery, and degree of patient recruitment and retention. Patient satisfaction and treatment fidelity will also be explored.ISRCTN registry number: 12154418.Journal of Comorbidity 2015;5(1):135–14
Examining the prevalence and patterns of multimorbidity in Canadian primary healthcare: a methodologic protocol using a national electronic medical record database
Full text linkIn many developed countries, the burden of disease has shifted from acute to long-term or chronic diseases – producing new and broader challenges for patients, healthcare providers, and healthcare systems. Multimorbidity, the coexistence of two or more chronic diseases within an individual, is recognized as a significant public health and research priority. This protocol aims to examine the prevalence, characteristics, and changing burden of multimorbidity among adult primary healthcare (PHC) patients using electronic medical record (EMR) data. The objectives are two-fold: (1) to measure the point prevalence and clusters of multimorbidity among adult PHC patients; and (2) to examine the natural history and changing burden of multimorbidity over time among adult PHC patients. Data will be derived from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). The CPCSSN database contains longitudinal, point-of-care data from EMRs across Canada. To identify adult patients with multimorbidity, a list of 20 chronic disease categories (and corresponding ICD-9 codes) will be used. A computational cluster analysis will be conducted using a customized computer program written in JAVA. A Cox proportional hazards analysis will be used to model time-to-event data, while simultaneously adjusting for provider- and patient-level predictors. All analyses will be conducted using STATA SE 13.1. This research is the first of its kind using a pan-Canadian EMR database, which will provide an opportunity to contribute to the international evidence base. Future work should systematically compare international research using similar robust methodologies to determine international and geographical variations in the epidemiology of multimorbidity. Journal of Comorbidity 2015;5(1):150–16
Utilization of a cardiometabolic health nurse – a novel strategy to manage comorbid physical and mental illness
Full text linkBackground: Comorbid chronic illnesses, such as cardiovascular disease, respiratory conditions, and type 2 diabetes are common among people with serious mental illness. Management of comorbid illness in the mental health setting is sometimes ad hoc and poorly delivered. Use of a cardiometabolic health nurse (CHN) is proposed as one strategy to improve the delivery of physical health care to this vulnerable population. Objective: To report the CHN’s utilization of primary care and allied health referrals from a trial carried out in a regional community mental health service. Design: Feasibility study. Mental health consumers were referred by their case manager or mental health nurse to the CHN. The CHN coordinated the physical health care of community-based mental health consumers by identifying the need for, and providing referrals to, additional services, including primary care, allied health, and community-based services. Results: Sixty-two percent of participants referred to the CHN received referrals for primary care, allied health, and community-based services. Almost all referrals received follow-up by the CHN. Referrals were most commonly directed to a general practitioner and for nurse-delivered services. Conclusion: The CHN role shows promise in coordinating the physical health of community-based mental health consumers. More studies on role integration and development of specific outcome measurement tools are needed.Journal of Comorbidity 2014;4(1):22–2
Self-management interventions in patients with long-term conditions: a structured review of approaches to reporting inclusion, assessment, and outcomes in multimorbidity
Full text linkBackground: Multimorbidity has many potential implications for healthcare delivery, but a particularly important impact concerns the validity of trial evidence underpinning clinical guidelines for individual conditions. Objective: To review how authors of published trials of self-management interventions reported inclusion criteria, sample descriptions, and consideration of the impact of multimorbidity on trial outcomes. Methods: We restricted our analysis to a small number of exemplar long-term conditions: type 2 diabetes mellitus, coronary heart disease, and chronic obstructive pulmonary disease. We focussed our search on published Cochrane reviews. Data were extracted from the trials on inclusion/exclusion, sample description, and impact on outcomes. Results: Eleven reviews consisting of 164 unique trials were identified. Sixty percent of trials reported excluding patients with forms of multimorbidity. Reasons for exclusion were poorly described or defined. Reporting of multimorbidity within the trials was poor, with only 35% of trials reporting on multimorbidity in their patient samples. Secondary analyses, exploring the impact of multimorbidity, were very rare. Conclusions: The importance of multimorbidity in trials is only going to become more important over time, but trials often exclude patients with multimorbidity, and reporting of multimorbidity in trials including such patients is generally poor. This limits judgements about the external validity of the results for clinical populations. A consistent approach to the conduct and reporting of secondary analyses of the effects of multimorbidity on outcomes, using current best-practice guidance, could lead to a rapid development of the evidence base. Journal of Comorbidity 2014;4(1):37–4
Multimorbidity in patients enrolled in a community-based methadone maintenance treatment programme delivered through primary care
Full text linkBackground: Multimorbidity, the co-existence of two or more (2+) long-term conditions in an individual, is common among problem drug abusers. Objective: To delineate the patterns, multimorbidity prevalence, and disease severity in patients enrolled in a community-based primary care methadone maintenance treatment (MMT) programme. Design: This was a retrospective cohort study (n=274). The comparator group consisted of mainstream primary care patients. Electronic medical record assessment was performed using the Cumulative Illness Rating Scale. Results: Prevalence of multimorbidity across 2+ domains was significantly higher within the MMT sample at 88.7% (243/274) than the comparator sample at 51.8% (142/274), p<0.001. MMT patients were seven times more likely to have multimorbidity across 2+ domains compared with mainstream patients (OR 7.29, 95% confidence interval 4.68–11.34; p<0.001). Prevalence of multimorbidity was consistently high across all age groups in the MMT cohort (range 87.8–100%), while there was a positive correlation with age in the comparator cohort (r=0.29, p<0.001). Respiratory, psychiatric, and hepatic–pancreatic domains were the three most common domains with multimorbidity. Overall, MMT patients (mean±SD, 1.97±0.43) demonstrated significantly higher disease severity than mainstream patients (mean±SD, 1.18±0.78), p<0.001. Prevalence of moderate disease severity observed in the <45-year MMT age group was 50% higher than the ≥45-year comparator age group. Conclusions: Prevalence of multimorbidity and disease severity in MMT patients was greater than in the age- and sex-matched comparators. Patients with a history of drug abuse require co-ordinated care for treatment of their addiction, and to manage and prevent chronic illnesses. Community-based programmes delivered through primary care help fulfil this need.Journal of Comorbidity 2014;4(1):46–5
Enhancing research quality and reporting: why the Journal of Comorbidity is now publishing study protocols
Full text linkThe Journal of Comorbidity was launched in 2011 and has since become established as a high-quality journal that publishes open-access, peer-reviewed articles, with a focus on advancing the clinical management of patients with comorbidity/multimorbidity. To further enhance research quality and reporting of studies in this field, the journal is now offering authors the opportunity to publish a summary of their study protocols – a move designed to generate interest and raise awareness in ongoing clinical research and to enable researchers to detail their methodologies in order that replication by scientific peers is possible.Journal of Comorbidity 2014;4(1):55−5
Competing risks of cancer mortality and cardiovascular events in individuals with multimorbidity
Full text linkBackground: Cancer patients with cardiovascular and other comorbidities are at concurrent risk of multiple adverse outcomes. However, most treatment decisions are guided by evidence from single-outcome models, which may be misleading for multimorbid patients. Objective: We assessed the interacting effects of cancer, cardiovascular, and other morbidity burdens on the competing outcomes of cancer mortality, serious cardiovascular events, and other-cause mortality. Design: We analyzed a cohort of 6,500 adults with initial cancer diagnosis between 2001 and 2008, SEER 5-year survival ≥26%, and a range of cardiovascular risk factors. We estimated the cumulative incidence of cancer mortality, a serious cardiovascular event (myocardial infarction, coronary revascularization, or cardiovascular mortality), and other-cause mortality over 5 years, and identified factors associated with the competing risks of each outcome using cause-specific Cox proportional hazard models. Results: Following cancer diagnosis, there were 996 (15.3%) cancer deaths, 328 (5.1%) serious cardiovascular events, and 542 (8.3%) deaths from other causes. In all, 4,634 (71.3%) cohort members had none of these outcomes. Although cancer prognosis had the greatest effect, cardiovascular and other morbidity also independently increased the hazard of each outcome. The effect of cancer prognosis on outcome was greatest in year 1, and the effect of other morbidity was greater in individuals with better cancer prognoses. Conclusion: In multimorbid oncology populations, comorbidities interact to affect the competing risk of different outcomes. Quantifying these risks may provide persons with cancer plus cardiovascular and other comorbidities more accurate information for shared decision-making than risks calculated from single-outcome models. Journal of Comorbidity 2014:4(1):29–3
The ‘everyday work’ of living with multimorbidity in socioeconomically deprived areas of Scotland
Full text linkBackground: Multimorbidity is common in patients living in areas of high socioeconomic deprivation and is associated with poor quality of life, but the reasons behind this are not clear. Exploring the ‘everyday life work’ of patients may reveal important barriers to self-management and wellbeing. Objective: To investigate the relationship between the management of multimorbidity and ‘everyday life work’ in patients living in areas of high socioeconomic deprivation in Scotland, as part of a programme of work on multimorbidity and deprivation. Design: Qualitative study: individual semi-structured interviews of 14 patients (8 women and 6 men) living in deprived areas with multimorbidity, exploring how they manage. Analysis was continuous and iterative. We report the findings in relation to everyday life work. Results: The in-depth analysis revealed four key themes: (i) the symbolic significance of everyday life work to evidence the work of being ‘normal’; (ii) the usefulness of everyday life work in managing symptoms; (iii) the impact that mental health problems had on everyday life work; and (iv) issues around accepting help for everyday life tasks. Overall, most struggled with the amount of work required to establish a sense of normalcy in their everyday lives, especially in those with mental–physical multimorbidity. Conclusions: Everyday life work is an important component of self-management in patients with multimorbidity in deprived areas, and is commonly impaired, especially in those with mental health problems. Interventions to improve self-management support for patients living with multimorbidity may benefit from an understanding of the role of everyday life work. Journal of Comorbidity 2014;4(1):1–1
The experience of adults with multimorbidity: a qualitative study
Full text linkBackground: Findings from several countries indicate that the prevalence of multimorbidity is very high among clients of primary healthcare. A deeper understanding of patients’ experiences from their own perspective can greatly enrich any intervention to help them live as well as possible with multimorbidity. Objective: To describe the fundamental structure of adults’ experience with multimorbidity. Design: A phenomenological study was undertaken to describe the experiences of 11 adults with multimorbidity. These adults participated in two semi-structured interviews, the content of which was rigorously analyzed. Results: At the core of the study participants’ multimorbidity experience are the impression of aging prematurely, difficulties with self-care management, and issues with access to the healthcare system, which contribute to the problem’s complexity. Despite these issues, participants with multimorbidity report attempting to take control of their situation and adjusting to daily living. Conclusions: The description of this experience, through the systemic vision of participants, provides a better understanding of the realities experienced by people with multimorbidity.Journal of Comorbidity 2014;4(1):11–2
Improving the evidence base on multimorbidities through better research: a commentary on the U.S. HHS initiative, Multiple Chronic Conditions: A Strategic Framework
Full text link“Multiple Chronic Conditions: A Strategic Framework” is a seminal report and the heart of a US strategic initiative, released by the U.S. Department of Health and Human Services (HHS) in December 2010, to focus the attention and resources of the US government on the research, practice, and policy implications of multiple chronic conditions (MCCs) [1]. The specific purpose of the report is “to catalyze change within the context of how chronic illnesses are addressed in the United States – from an approach focused on individual chronic diseases to one that uses a multiple chronic condition approach” [1]. The report observes that this process represents “a culture change, or paradigm shift, and the subsequent implementation of these strategies that will provide a foundation for realizing the vision of optimal health and quality of life for individuals with multiple chronic conditions” [1].Journal of Comorbidity 2013;3(2)18–21