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Journal articles on the topic 'Management of multimorbidity'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Bricca, Alessio, Susan M. Smith, and Søren T. Skou. "Management of multimorbidity." Journal of Multimorbidity and Comorbidity 13 (March 7, 2023): 263355652311566. http://dx.doi.org/10.1177/26335565231156693.

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Seakamela, Kagiso P., Reneilwe G. Mashaba, Cairo B. Ntimana, Chodziwadziwa W. Kabudula, and Tholene Sodi. "Multimorbidity Management: A Scoping Review of Interventions and Health Outcomes." International Journal of Environmental Research and Public Health 22, no. 5 (2025): 770. https://doi.org/10.3390/ijerph22050770.

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Multimorbidity, defined as the co-occurrence of two or more chronic conditions in an individual, has emerged as a worldwide public health concern contributing to mortality and morbidity. This complex health phenomenon is becoming increasingly prevalent worldwide, particularly as populations continue to age. Despite the growing burden of multimorbidity, the development and implementation of interventions published by scholars are still in their early stages with significant variability in strategies and outcomes. The variability in strategy and outcome may result from factors such as lack of in

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Kim, Sun-Wook, and Kwang-Il Kim. "Management of multimorbidity in the ederly." Journal of the Korean Medical Association 57, no. 9 (2014): 743. http://dx.doi.org/10.5124/jkma.2014.57.9.743.

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Roland, M., and C. Paddison. "Better management of patients with multimorbidity." BMJ 346, may02 1 (2013): f2510. http://dx.doi.org/10.1136/bmj.f2510.

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Kenning, Cassandra, Peter A. Coventry, and Peter Bower. "Self-Management Interventions in Patients with Long-Term Conditions: A Structured Review of Approaches to Reporting Inclusion, Assessment, and Outcomes in Multimorbidity." Journal of Comorbidity 4, no. 1 (2014): 37–45. http://dx.doi.org/10.15256/joc.2014.4.33.

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Background 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 diseas

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Huang, Xulei. "Research status and recommendation on chronic diseases multimorbidity in the elderly in China." Theoretical and Natural Science 47, no. 1 (2024): 60–64. http://dx.doi.org/10.54254/2753-8818/47/2024pj0108.

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As Chinas population ages, the management of multimorbidity in the elderly has become a significant public health issue. Understanding the current state of research on chronic disease multimorbidity among elderly Chinese is now an urgent priority. This review addresses the growing problem of multimorbidity in elderly Chinese, focusing on prevalence, disease patterns, risk factors, and demographic characteristics. Current research highlights the significant impact of lifestyle habits and socioeconomic factors on multimorbidity. It also explores the negative effects on health-related quality of

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Kenning, Cassandra, Peter A. Coventry, and Peter Bower. "Self-management interventions in patients with long-term conditions: a structured review of approaches to reporting inclusion, assessment, and outcomes in multimorbidity." Journal of Comorbidity 4, no. 1 (2014): 37–45. https://doi.org/10.15256/joc.2014.4.33.

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<strong>Abstract:</strong> <strong>Background:</strong> 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.<strong>Objective:</strong> 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. <strong>Methods:</strong> We restricted our analysis to a small number of exemplar long-term co

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O'Brien, Rosaleen, Sally Wyke, Graham G. C. M. Watt, Bruce Guthrie, and Stewart W. Mercer. "The ‘Everyday Work’ of Living with Multimorbidity in Socioeconomically Deprived Areas of Scotland." Journal of Comorbidity 4, no. 1 (2014): 1–10. http://dx.doi.org/10.15256/joc.2014.4.32.

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Background 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 i

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Yang, Qingling, Quanzhi Zhang, Fei Wan Ngai, et al. "The Multimorbidity and Lifestyle Correlates in Chinese Population Residing in Macau: Findings from a Community-Based Needs Assessment Study." Healthcare 11, no. 13 (2023): 1906. http://dx.doi.org/10.3390/healthcare11131906.

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Multimorbidity has become one of the most pressing public health concerns worldwide. The objectives of this study were to understand the prevalence of multimorbidity and its relationship with lifestyle factors among Chinese adults in Macau, and to investigate the combined contribution of common lifestyle factors in predicting multimorbidity. Data were collected through face-to-face interviews using a self-reported questionnaire on common chronic diseases, lifestyle factors and sociodemographics. BMI, physical activity, drinking status, smoking status and sleep quality were assessed, and a comp

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Zhong, Yaqin, Hanqing Xi, Xiaojun Guo, Tiantian Wang, Yanan Wang, and Jian Wang. "Gender and Socioeconomic Differences in the Prevalence and Patterns of Multimorbidity among Middle-Aged and Older Adults in China." International Journal of Environmental Research and Public Health 19, no. 24 (2022): 16956. http://dx.doi.org/10.3390/ijerph192416956.

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Background: Multimorbidity has become a global public health concern. Knowledge about the prevalence and patterns of multimorbidity will provide essential information for public intervention and clinical management. This study aimed to examine gender and socioeconomic differences in the prevalence and patterns of multimorbidity among a nationally representative sample of middle-aged and older Chinese individuals. Methods: Data were obtained from the 2018 wave of the China Health and Retirement Longitudinal Study. Latent class analysis was conducted to discriminate among the multimorbidity patt

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11

Cheng, Cheng, and Martin Christensen. "Living with Multimorbidity through Time: A Meta-Synthesis of Qualitative Longitudinal Evidence." Healthcare 12, no. 4 (2024): 446. http://dx.doi.org/10.3390/healthcare12040446.

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The growing prevalence of multimorbidity places a strain on primary healthcare globally. The current study’s aim was to identify, appraise, and synthesize published qualitative longitudinal research on individuals’ experiences concerning living with multimorbidity through time. The authors searched two electronic databases, MEDLINE and CINAHL, and performed an additional literature search in Google Scholar. A thematic synthesis approach was used to analyze the qualitative data across the studies. A total of 10 reports that met the inclusion and exclusion criteria were included in the synthesis

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O'Brien, Rosaleen, Sally Wyke, Bruce Guthrie, and Stewart W. Mercer. "The ‘everyday work’ of living with multimorbidity in socioeconomically deprived areas of Scotland." Journal of Comorbidity 4, no. 1 (2014): 1–10. https://doi.org/10.15256/joc.2014.4.32.

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<strong>Abstract:</strong> <strong>Background: </strong>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. <strong>Objective: </strong>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 progr

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13

Ismail, Sunaib, Antony Stanley, and Panniyammakal Jeemon. "Prevalence of multimorbidity and associated treatment burden in primary care settings in Kerala: a cross-sectional study in Malappuram District, Kerala, India." Wellcome Open Research 7 (May 4, 2022): 67. http://dx.doi.org/10.12688/wellcomeopenres.17674.2.

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Background: Multimorbidity or co-existence of two or more chronic conditions is common and associated with reduced quality of life and increased risk of death. We aimed to estimate the prevalence and pattern of multimorbidity in primary care settings in Kerala and the associated treatment burden, and quality of life. Methods: A cross-sectional survey was conducted among 540 adult participants in Malappuram District, Kerala. A multi-stage cluster sampling method was employed. Hypertension, diabetes, chronic obstructive pulmonary disease, depression and anxiety screening were done by trained med

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14

Kojima, Taro, Fumihiro Mizokami, and Masahiro Akishita. "Geriatric management of older patients with multimorbidity." Geriatrics & Gerontology International 20, no. 12 (2020): 1105–11. http://dx.doi.org/10.1111/ggi.14065.

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15

Peeler, Anna, Katie Nelson, Sarah Badawi, et al. "LIVING WITH MULTIMORBIDITY: SHARED EXPERIENCES OF PATIENTS, FAMILY CAREGIVERS, AND HEALTHCARE PROFESSIONALS." Innovation in Aging 6, Supplement_1 (2022): 480. http://dx.doi.org/10.1093/geroni/igac059.1854.

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Abstract Over 50% of patients in intermediate care units (IMCU) present with multimorbidity, two or more chronic conditions. Balancing the effects of multimorbidity and their treatments with quality-of-life can be a challenge. This experience-based co-design project aimed to elicit experiences of patients, family caregivers, and healthcare professionals in IMCU, in the context of challenges and intricacies of multimorbidity management, to inform the development of a symptom management toolkit. Patients aged 55 years and older were recruited and interviewed in person. Healthcare professionals w

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Kanungo, Srikanta, Shishirendu Ghosal, Sushmita Kerketta, et al. "Association of Oral Health with Multimorbidity among Older Adults: Findings from the Longitudinal Ageing Study in India, Wave-1, 2017–2019." International Journal of Environmental Research and Public Health 18, no. 23 (2021): 12853. http://dx.doi.org/10.3390/ijerph182312853.

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India is witnessing an increase in the prevalence of multimorbidity. Oral health is related to overall health but is seldom included in the assessment of multimorbidity. Hence, this study aimed to estimate the prevalence of oral morbidity and explore its association with physical multimorbidity using data from Longitudinal Ageing Study in India (LASI). LASI is a nationwide survey amongst adults aged ≥ 45 years conducted in 2018. Descriptive analysis was performed on included participants (n = 59,764) to determine the prevalence of oral morbidity. Multivariable logistic regression assessed the

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Duguay, Cynthia, Frances Gallagher, and Martin Fortin. "The Experience of Adults with Multimorbidity: A Qualitative Study." Journal of Comorbidity 4, no. 1 (2014): 11–21. http://dx.doi.org/10.15256/joc.2014.4.31.

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Background 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 rigo

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18

Albagmi, Faisal Mashel, Mehwish Hussain, Khurram Kamal, et al. "Predicting Multimorbidity Using Saudi Health Indicators (Sharik) Nationwide Data: Statistical and Machine Learning Approach." Healthcare 11, no. 15 (2023): 2176. http://dx.doi.org/10.3390/healthcare11152176.

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The Saudi population is at high risk of multimorbidity. The risk of these morbidities can be reduced by identifying common modifiable behavioural risk factors. This study uses statistical and machine learning methods to predict factors for multimorbidity in the Saudi population. Data from 23,098 Saudi residents were extracted from the “Sharik” Health Indicators Surveillance System 2021. Participants were asked about their demographics and health indicators. Binary logistic models were used to determine predictors of multimorbidity. A backpropagation neural network model was further run using t

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Kim, Oksoo, and Hyunju Dan. "Experience of Elderly Korean Women with Diabetes and Multimorbidity in Elderly Couple Households: A Qualitative Study." Healthcare 10, no. 9 (2022): 1675. http://dx.doi.org/10.3390/healthcare10091675.

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Elderly women with multimorbidity in elderly couple households face the double burden of managing their diseases while fulfilling their gender roles. This study aimed to investigate the daily life experiences of elderly women with diabetes and multimorbidity living as part of couple households in Korea. Ten women aged 65 or more with diabetes and multimorbidity and living as part of elderly couple households participated in this phenomenological qualitative study. The data were analyzed with van Manen’s method of study of analytical phenomena. Four essential themes were identified. Participant

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Danish, Syed Hasan, Farah Ahmad, Daniyal Fahad, Shaima Sultana Memon, Oam Parkash, and Khushbakht Shoaib. "Multimorbidity and Quality of Life among Geriatric Population of Karachi Pakistan." Pakistan Journal of Medical and Health Sciences 17, no. 1 (2023): 820–23. http://dx.doi.org/10.53350/pjmhs2023171820.

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Objective: To determine association of quality of life and multimorbidity among geriatric population of Karachi Pakistan Methods: It was a cross sectional study conducted in district of Karachi district using cluster sampling technique. Sample had greater than 60 years of age restricting those with mental disorders, speech disorders or language barriers. Sample size was n=362. Data was collected using WOHQOL-BREF with four domains, social relationships, psychological health, physical health and environment domain. Data was collected by face to face interviews after informed consent keeping inf

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Tan, Shu Yun, Kaiwei Jeremy Lew, Ying Xie, et al. "Healthcare cost of patients with multiple chronic diseases in Singapore public primary care setting." Annals of the Academy of Medicine, Singapore 50, no. 11 (2021): 809–17. http://dx.doi.org/10.47102/annals-acadmedsg.2021246.

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ABSTRACT Introduction: The rising prevalence of multiple chronic diseases is an important public health issue as it is associated with increased healthcare utilisation. This paper aimed to explore the annual per capita healthcare cost in primary care for patients with multiple chronic diseases (multimorbidity). Methods: This was a retrospective cohort study conducted in a cluster of public primary care clinics in Singapore. De-identified data from electronic medical records were extracted from July 2015 to June 2017. Only patients with at least 1 chronic disease were included in the study. Bas

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Burke, H., and T. M. A. Wilkinson. "Unravelling the mechanisms driving multimorbidity in COPD to develop holistic approaches to patient-centred care." European Respiratory Review 30, no. 160 (2021): 210041. http://dx.doi.org/10.1183/16000617.0041-2021.

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COPD is a major cause of morbidity and mortality worldwide. Multimorbidity is common in COPD patients and a key modifiable factor, which requires timely identification and targeted holistic management strategies to improve outcomes and reduce the burden of disease.We discuss the use of integrative approaches, such as cluster analysis and network-based theory, to understand the common and novel pathobiological mechanisms underlying COPD and comorbid disease, which are likely to be key to informing new management strategies.Furthermore, we discuss the current understanding of mechanistic drivers

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Fisher, Kathryn, Lauren E. Griffith, Andrea Gruneir, David Kanters, Maureen Markle-Reid, and Jenny Ploeg. "Functional limitations in people with multimorbidity and the association with mental health conditions: Baseline data from the Canadian Longitudinal Study on Aging (CLSA)." PLOS ONE 16, no. 8 (2021): e0255907. http://dx.doi.org/10.1371/journal.pone.0255907.

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Introduction Increasing multimorbidity is often associated with declining physical functioning, with some studies showing a disproportionate impact on functioning when mental health conditions are present. More research is needed because most multimorbidity studies exclude mental health conditions. Objectives This study aims to improve our understanding of the association between functional limitation and multimorbidity, including a comparison of those with multimorbidity that includes versus excludes mental health conditions. Methods This is a population-based, cross-sectional analysis of dat

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Jin, Hua, Zhaoxin Wang, Aizhen Guo, et al. "Patterns of multimorbidity in community health centres in Shanghai, China: a retrospective, cross-sectional study based on outpatient data from 2014 to 2018." BMJ Open 12, no. 10 (2022): e048727. http://dx.doi.org/10.1136/bmjopen-2021-048727.

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ObjectiveCaring for patients with multimorbidity is an important part of primary care. It has become increasingly relevant that understanding the spectrum of multimorbidity will help general practitioners (GPs) acquire working knowledge and improve management skills. However, there was little research on characteristics of multimorbidity in primary care in China. This study aimed to identify the spectrum of frequency, proportion and ranking of multimorbidity patterns in adult patients seen at community health centres (CHCs) in Shanghai, China.Design and settingThis was an observational, retros

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Dyachuk, D. D., G. Z. Moroz, I. M. Hydzynska, and T. S. Lasitsya. "Multimorbidity in clinical practice." Ukrainian Journal of Cardiology 26, no. 1 (2019): 94–104. http://dx.doi.org/10.31928/1608-635x-2019.1.94104.

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Multimorbidity is defined as two or more chronic conditions in the same individual. It is associated with significant impacts on quality of life, poor functional status, enhancement of the challenges of medical care and cost implications, unnecessary hospitalizations, increases the terms of hospital stay, and affects the evaluation of the interventions effectiveness. The article reviews the prevalence of multimorbidity, combinations of conditions in people with multimorbidity, especially, in patients with cardiovascular diseases. This review also identifies the emerging evidence to support pol

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Benlidayi, Ilke Coskun. "REHABILITATION OF OLDER ADULTS WITH MULTIMORBIDITIES." Anti-Aging Eastern Europe 2, no. 3 (2023): 143–49. http://dx.doi.org/10.56543/aaeeu.2023.2.3.03.

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Multimorbidity poses a severe risk to the aged population. Multimorbidity has numerous outcomes, such as disability, impaired quality of life, and mortality. There is growing evidence regarding the use of rehabilitation techniques in the treatment of elderly people with multimorbidity. The benefits of rehabilitation in geriatric care include improvement in physical function and disability, prevention of polypharmacy, improvement in quality of life, and benefits related to the underlying diseases. Rehabilitation may consist of a broad range of therapeutic methods (i.e., exercises, electrotherap

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Quinaz Romana, Guilherme, Irina Kislaya, Mário Rui Salvador, Susana Cunha Gonçalves, Baltazar Nunes, and Carlos Dias. "Multimorbilidade em Portugal: Dados do Primeiro Inquérito Nacional de Saúde com Exame Físico." Acta Médica Portuguesa 32, no. 1 (2019): 30. http://dx.doi.org/10.20344/amp.11227.

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Introduction: The simultaneous presence of multiple chronic diseases in the same individual is recognized as an important public health problem. Patients with multimorbidity have greater healthcare needs, which represents a higher burden on health services. Although there is no consensual definition of this concept, multimorbidity is usually defined as the presence of two or more chronic diseases in the same patient. The existence of evidence regarding multimorbidity will lead to more efficient management and treatment of these patients.Material and Methods: In order to estimate the prevalence

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Puri, Parul, Shri Kant Singh, and Sanghamitra Pati. "Temporal dynamics, patterns and correlates of single and multimorbidity in India, 1994–2018." Journal of Multimorbidity and Comorbidity 11 (January 2021): 263355652110627. http://dx.doi.org/10.1177/26335565211062756.

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Objective As a consequence of the epidemiological transition, multimorbidity has been identified as a critical public health challenge in India. The majority of the studies in the domain are grounded on hospital-based data or are based on small sample size, findings from which can only be generalized to a specific sub-group. These studies recommend exploring multimorbidity holistically at a national level to ensure adequate healthcare management in the country. Therefore, the present study examines the pattern and correlates of single and multimorbidity over the past two decades in India. Meth

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Fernández-Niño, Julián A., John A. Guerra-Gómez, and Alvaro J. Idrovo. "Multimorbidity patterns among COVID-19 deaths: proposal for the construction of etiological models." Revista Panamericana de Salud Pública 44 (December 30, 2020): 1. http://dx.doi.org/10.26633/rpsp.2020.166.

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Objectives. To describe patterns of multimorbidity among fatal cases of COVID-19, and to propose a classification of patients based on age and multimorbidity patterns to begin the construction of etiological models. Methods. Data of Colombian confirmed deaths of COVID-19 until June 11, 2020, were included in this analysis (n=1488 deaths). Relationships between COVID-19, combinations of health conditions and age were explored using locally weighted polynomial regressions. Results. The most frequent health conditions were high blood pressure, respiratory disease, diabetes, cardiovascular disease

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Lewis, Cliona, Emma Wallace, Lorraine Kyne, Walter Cullen, and Susan M. Smith. "Training Doctors to Manage Patients with Multimorbidity: A Systematic Review." Journal of Comorbidity 6, no. 2 (2016): 85–94. http://dx.doi.org/10.15256/joc.2016.6.87.

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Background Patients with multimorbidity (two or more chronic conditions) are now the norm in clinical practice, and place an increasing burden on the healthcare system. Management of these patients is challenging, and requires doctors who are skilled in the complexity of multiple chronic diseases. Objective To perform a systematic review of the literature to ascertain whether there are education and training formats which have been used to train postgraduate medical doctors in the management of patients with multimorbidity in primary and/or secondary care, and which have been shown to improve

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Carman, William, Marie Ishida, Justin S. Trounson, et al. "Epidemiology of physical–mental multimorbidity and its impact among Aboriginal and Torres Strait Islander in Australia: a cross-sectional analysis of a nationally representative sample." BMJ Open 12, no. 10 (2022): e054999. http://dx.doi.org/10.1136/bmjopen-2021-054999.

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ObjectivesThis study aimed to examine the differences in multimorbidity between Aboriginal and Torres Strait Islander people and non-Indigenous Australians, and the effect of multimorbidity on health service use and work productivity.SettingCross-sectional sample of the Household, Income and Labour Dynamics in Australia wave 17.ParticipantsA nationally representative sample of 16 749 respondents aged 18 years and above.Outcome measuresMultimorbidity prevalence and pattern, self-reported health, health service use and employment productivity by Indigenous status.ResultsAboriginal respondents re

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Sevostyanova, E. V., Yu A. Nikolaev, and V. Ya Polyakov. "The problem of multimorbidity in a modern therapeutic clinic." Bulletin of Siberian Medicine 21, no. 1 (2022): 162–70. http://dx.doi.org/10.20538/1682-0363-2022-1-162-170.

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A review of modern studies on the problem of multimorbidity, its definition, frequency of occurrence, prevalence, medical and social consequences, factors predisposing to its formation, and approaches to diagnosis, therapy, and rehabilitation is presented. According to modern understanding, multimorbidity is the presence of two and / or more chronic diseases that are pathogenetically interconnected and / or coincide in time in one patient.Currently, multimorbidity is becoming an epidemic, affecting people of different ages and gender and with various diseases. The literature describes multiple

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Cohen-Stavi, Chandra J., Calanit Key, Shmuel Giveon, Tchiya Molcho, Ran D. Balicer, and Efrat Shadmi. "Assessing guideline-concordant care for patients with multimorbidity treated in a care management setting." Family Practice 37, no. 4 (2020): 479–85. http://dx.doi.org/10.1093/fampra/cmaa024.

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Abstract Background Disease-specific guidelines are not aligned with multimorbidity care complexity. Meeting all guideline-recommended care for multimorbid patients has been estimated but not demonstrated across multiple guidelines. Objective Measure guideline-concordant care for patients with multimorbidity; assess in what types of care and by whom (clinician or patient) deviation from guidelines occurs and evaluate whether patient characteristics are associated with concordance. Methods A retrospective cohort study of care received over 1 year, conducted across 11 primary care clinics within

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Ismail, Sunaib, Antony Stanley, and Panniyammakal Jeemon. "Prevalence of multimorbidity and associated treatment burden in primary care settings in Kerala: a cross-sectional study in Malappuram District, Kerala, India." Wellcome Open Research 7 (February 23, 2022): 67. http://dx.doi.org/10.12688/wellcomeopenres.17674.1.

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Background: Multimorbidity or co-existence of two or more chronic conditions is common and associated with reduced quality of life and increased risk of death. We aimed to estimate the prevalence and pattern of multimorbidity in primary care settings in Kerala and the associated treatment burden, and quality of life. Methods: A cross-sectional survey was conducted among 540 adult participants in Malappuram District, Kerala. A multi-stage cluster sampling method was employed. Hypertension, diabetes, chronic obstructive pulmonary disease, depression and anxiety screening were done by trained med

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Ørtenblad, Lisbeth, and Nina Konstantin. "The challenge of multimorbidity: A qualitative study of general practitioners' management of patients with multimorbidity." International Journal of Integrated Care 18, s2 (2018): 389. http://dx.doi.org/10.5334/ijic.s2389.

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Nicholson, Kathryn, Tine De Burghgraeve, Martin Fortin, et al. "Advancing cross-national planning and partnership: Proceedings from the International Multimorbidity Symposium 2019." Journal of Comorbidity 10 (January 1, 2020): 2235042X2095331. http://dx.doi.org/10.1177/2235042x20953313.

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The International Multimorbidity Symposium was held in November 2019 at Western University to achieve three main objectives: to discuss progress and findings from various jurisdictions; to facilitate collaboration through group discussion to identify strategies to move multimorbidity research forward; and to create concrete plans to ensure advances in multimorbidity research and knowledge can be achieved through cross-national partnership. This event included keynote presentations, elevator pitch presentations and breakout sessions and there was a total of 35 attendees from eight countries, re

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Duguay, Cynthia, Frances Gallagher, and Martin Fortin. "The unique experience of adults with multimorbidity: a qualitative study." Journal of Comorbidity 4, no. 1 (2014): 11–21. https://doi.org/10.15256/joc.2014.4.31.

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<strong>Abstract:</strong> <strong>Background: </strong>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. <strong>Objective:</strong> To describe the fundamental structure of adults’ experience with multimorbidity. <strong>Design: </strong>A phenomenological study was undertaken to describe the experiences of 11

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Manning, Sydney E., Hao Wang, Nilanjana Dwibedi, et al. "Association of multimorbidity with the use of health information technology." DIGITAL HEALTH 9 (January 2023): 205520762311637. http://dx.doi.org/10.1177/20552076231163797.

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Objective To examine the association of multimorbidity with health information technology use among adults in the USA. Methods We used cross-sectional study design and data from the Health Information National Trends Survey 5 Cycle 4. Health information technology use was measured with ten variables comprising access, recent use, and healthcare management. Unadjusted and adjusted logistic and multinomial logistic regressions were used to model the associations of multimorbidity with health information technology use. Results Among adults with multimorbidity, health information technology use f

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Runz-Jørgensen, Sidsel M., Michaela L. Schiøtz, and Ulla Christensen. "Perceived Value of eHealth among People Living with Multimorbidity: A Qualitative Study." Journal of Comorbidity 7, no. 1 (2017): 96–111. http://dx.doi.org/10.15256/joc.2017.7.98.

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Background The prevalence of multimorbidity is increasing, creating challenges for patients, healthcare professionals, and healthcare systems. Given that chronic disease management increasingly involves eHealth, it is useful to assess its perceived value among people with multimorbidity. Objective To explore challenges related to multimorbidity and patients’ perspectives on eHealth. Design Ten semi-structured interviews with adults, living with multimorbidity in Copenhagen, Denmark. Interviews focused on patient-experienced challenges, from challenges related to self-management to challenges e

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Ko, Soohyeon, and Rockli Kim. "SPOUSAL MULTIMORBIDITY AND DEPRESSIVE SYMPTOMS AMONG OLDER INDIAN COUPLES: DOES ONE’S OWN HEALTH AND GENDER MATTER?" Innovation in Aging 7, Supplement_1 (2023): 751. http://dx.doi.org/10.1093/geroni/igad104.2429.

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Abstract With the aging population, increases in non-communicable diseases that require chronic management pose economic and social burdens to individuals with multimorbid conditions and their spousal caregivers. However, little is known about the crossover effect of spousal multimorbidity on mental health outcomes in the context of low-and middle-income countries, and whether it depends on one’s own health status and gender. We used data on 6,158 older couples (12,316 individuals aged 60 years or above) from the Longitudinal Aging Study in India (LASI) 2017-18 to examine the association betwe

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Sinclair, Alan J., and Ahmed H. Abdelhafiz. "Multimorbidity, Frailty and Diabetes in Older People–Identifying Interrelationships and Outcomes." Journal of Personalized Medicine 12, no. 11 (2022): 1911. http://dx.doi.org/10.3390/jpm12111911.

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Multimorbidity and frailty are highly prevalent in older people with diabetes. This high prevalence is likely due to a combination of ageing and diabetes-related complications and other diabetes-associated comorbidities. Both multimorbidity and frailty are associated with a wide range of adverse outcomes in older people with diabetes, which are proportionally related to the number of morbidities and to the severity of frailty. Although, the multimorbidity pattern or cluster of morbidities that have the most adverse effect are not yet well defined, it appears that mental health disorders enhanc

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Skou, Søren T., Mette Nyberg, Mette Dideriksen, et al. "Study protocol for a multicenter randomized controlled trial of personalized exercise therapy and self-management support for people with multimorbidity: The MOBILIZE study." Journal of Multimorbidity and Comorbidity 13 (February 1, 2023): 263355652311544. http://dx.doi.org/10.1177/26335565231154447.

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Background Despite the great individual and societal burden associated with multimorbidity, little is known about how to effectively manage it. Objective The aim of this multicenter randomized controlled trial (RCT) is to investigate the 12-month effects of a personalized exercise therapy and self-management support program in addition to usual care in people with multimorbidity. Design This is a protocol for a pragmatic, parallel-group (1:1 ratio), superiority RCT conducted at five intervention sites (two hospitals, a private practice physiotherapy clinic and two municipal rehabilitation cent

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Nouri, Maede, Daniel Lizotte, Kamran Sedig, and Sheikh Abdullah. "VISEMURE: A Visual Analytics System for Making Sense of Multimorbidity Using Electronic Medical Record Data." Data 6, no. 8 (2021): 85. http://dx.doi.org/10.3390/data6080085.

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Multimorbidity is a growing healthcare problem, especially for aging populations. Traditional single disease-centric approaches are not suitable for multimorbidity, and a holistic framework is required for health research and for enhancing patient care. Patterns of multimorbidity within populations are complex and difficult to communicate with static visualization techniques such as tables and charts. We designed a visual analytics system called VISEMURE that facilitates making sense of data collected from patients with multimorbidity. With VISEMURE, users can interactively create different su

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Singh, Kalpana, Shivani A. Patel, Suddhendu Biswas, et al. "Multimorbidity in South Asian adults: prevalence, risk factors and mortality." Journal of Public Health 41, no. 1 (2018): 80–89. http://dx.doi.org/10.1093/pubmed/fdy017.

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Abstract Background We report the prevalence, risk factors and mortality associated with multimorbidity in urban South Asian adults. Methods Hypertension, diabetes, heart disease, stroke and chronic kidney disease were measured at baseline in a sample of 16 287 adults ages ≥20 years in Delhi, Chennai and Karachi in 2010–11 followed for an average of 38 months. Multimorbidity was defined as having ≥2 chronic conditions at baseline. We identified correlates of multimorbidity at baseline using multinomial logistic models, and we assessed the prospective association between multimorbidity and mort

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Kernick, David, Carolyn A. Chew-Graham, and Norma O’Flynn. "Clinical assessment and management of multimorbidity: NICE guideline." British Journal of General Practice 67, no. 658 (2017): 235–36. http://dx.doi.org/10.3399/bjgp17x690857.

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Luijks, Hilde D., Maartje JW Loeffen, Antoine L. Lagro-Janssen, Chris van Weel, Peter L. Lucassen, and Tjard R. Schermer. "GPs' considerations in multimorbidity management: a qualitative study." British Journal of General Practice 62, no. 600 (2012): e503-e510. http://dx.doi.org/10.3399/bjgp12x652373.

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Bruggink, Laura, Chris Hayes, Gali Lawrence, Katherine Brain, and Simon Holliday. "Chronic pain: Overlap and specificity in multimorbidity management." Australian Journal of General Practice 48, no. 10 (2019): 689–92. http://dx.doi.org/10.31128/ajgp-06-19-4966.

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Vanfleteren, Lowie E. G. W., and Leonardo M. Fabbri. "Self-management interventions in COPD patients with multimorbidity." European Respiratory Journal 54, no. 5 (2019): 1901850. http://dx.doi.org/10.1183/13993003.01850-2019.

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Akporehwe, N., K. Akporehwe, and R. Purkayastha. "Management of spasticity in the face of multimorbidity." BMJ 349, sep17 18 (2014): g5572. http://dx.doi.org/10.1136/bmj.g5572.

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Ji, Eunjeong, Soyeon Ahn, Jung-Yeon Choi, Cheol-Ho Kim, and Kwang-il Kim. "Effect of multimorbidity on hypertension management." Scientific Reports 13, no. 1 (2023). http://dx.doi.org/10.1038/s41598-023-44813-0.

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AbstractMultimorbidity, the coexistence of multiple health conditions, is associated with functional decline, disability, and mortality. We aimed to investigate the effects of multimorbidity on hypertension treatment and control rates by analyzing data from the Korean National Health and Nutrition Examination Survey database, which is a cross-sectional, nationally representative survey conducted by the Korean government. Multimorbidity, defined as having two or more chronic diseases, was evaluated by blood pressure measurements, blood chemistry examinations, and questionnaires. We classified t

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