Cited by 1,125Chronic Disease Management StrategiesPrimary Care and Health OutcomesPharmaceutical Practices and Patient Outcomes

The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.

Prevalence, Determinants and Patterns of Multimorbidity in Primary Care: A Systematic Review of Observational Studies

Open access

Violan, Concepció, Foguet-Boreu, Quintí, Flores-Mateo, Gemma, Salisbury, Chris, Blom, Jeanet, Freitag, Michael, Glynn, Liam, Muth, Christiane, Valderas, Jose M.·2014·PLoS ONE

DOI 10.1371/journal.pone.0102149PMC PMC4105594

Open this paper in CoChat — free account Open PDF

Abstract

INTRODUCTION: Multimorbidity is a major concern in primary care. Nevertheless, evidence of prevalence and patterns of multimorbidity, and their determinants, are scarce. The aim of this study is to systematically review studies of the prevalence, patterns and determinants of multimorbidity in primary care. METHODS: Systematic review of literature published between 1961 and 2013 and indexed in Ovid (CINAHL, PsychINFO, Medline and Embase) and Web of Knowledge. Studies were selected according to eligibility criteria of addressing prevalence, determinants, and patterns of multimorbidity and using a pretested proforma in primary care. The quality and risk of bias were assessed using STROBE criteria. Two researchers assessed the eligibility of studies for inclusion (Kappa= 0.86). RESULTS: We identified 39 eligible publications describing studies that included a total of 70,057,611 patients in 12 countries. The number of health conditions analysed per study ranged from 5 to 335, with multimorbidity prevalence ranging from 12.9% to 95.1%. All studies observed a significant positive association between multimorbidity and age (odds ratio [OR], 1.26 to 227.46), and lower socioeconomic status (OR, 1.20 to 1.91). Positive associations with female gender and mental disorders were also observed. The most frequent patterns of multimorbidity included osteoarthritis together with cardiovascular and/or metabolic conditions. CONCLUSIONS: Well-established determinants of multimorbidity include age, lower socioeconomic status and gender. The most prevalent conditions shape the patterns of multimorbidity. However, the limitations of the current evidence base means that further and better designed studies are needed to inform policy, research and clinical practice, with the goal of improving health-related quality of life for patients with multimorbidity. Standardization of the definition and assessment of multimorbidity is essential in order to better understand this phenomenon, and is a necessary immediate step.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0102149

Cites

59 of 59 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
The Effect of Riding as an Alternative Treatment for Children with Cerebral Palsy: A Systematic Review and Meta-Analysis
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,762
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration
Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040297 · Cited by 8,613 · cited 1×
“Two authors (CV and QFB) used the STROBE checklist for observational studies to assess the quality of each study (Table S2) [13].”
Method
Epidemiology of multimorbidity and implications for health care, research, and medical education: A cross-sectional study
Barnett, K., Mercer, S. W., Norbury, M., Watt, G., Wyke, S., & Guthrie, B. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60240-2 · Cited by 6,972
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration
Vandenbroucke, J. P., Elm, E. V., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & initiative, F. T. S. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-8-200710160-00010-w1 · Cited by 3,543
Aging with multimorbidity: A systematic review of the literature
Marengoni, A., Angleman, S., Melis, R., Mangialasche, F., Karp, A., Garmen, A., Meinow, B., & Fratiglioni, L. (2011) · Ageing Research Reviews · doi:10.1016/j.arr.2011.03.003 · Cited by 3,092
Prevalence, Expenditures, and Complications of Multiple Chronic Conditions in the Elderly
Wolff, J. L., Starfield, B. H., & Anderson, G. F. (2002) · Archives of Internal Medicine · doi:10.1001/archinte.162.20.2269 · Cited by 2,237
Defining Comorbidity: Implications for Understanding Health and Health Services
Valderas, J. M., Starfield, B. H., Sibbald, B., Salisbury, C., & Roland, M. O. (2009) · The Annals of Family Medicine · doi:10.1370/afm.983 · Cited by 1,730
Self-citation

Flagged first, then by citations

Show all 59 references

Research works printed but not linked: 1

P Abete, 2004, Comorbility in the elderly: Epidemiology and clinical features, G Gerontol, 52, 267

Sorted by citations

Items 401–500 of 1,000

Gender medicine: Lessons from COVID-19 and other medical conditions for designing health policy
Machluf, Y., Chaiter, Y., & Tal, O. (2020) · World Journal of Clinical Cases · doi:10.12998/wjcc.v8.i17.3645 · Cited by 21
The prevalence of chronic conditions in patients diagnosed with one of 29 common and rarer cancers: A cross-sectional study using primary care data
Koo, M. M., Swann, R., McPhail, S., Abel, G., Renzi, C., Rubin, G. P., & Lyratzopoulos, G. (2020) · Cancer Epidemiology · doi:10.1016/j.canep.2020.101845 · Cited by 20
Priorities and preferences for care of people with multiple chronic conditions
Rijken, M., Stüssgen, R., Leemrijse, C. J., Bogerd, M. J. L., & Korevaar, J. C. (2021) · Health Expectations · doi:10.1111/hex.13262 · Cited by 19
Comportamento sedentário e associação com multimorbidade e padrões de multimorbidade em idosos brasileiros: dados da Pesquisa Nacional de Saúde de 2019
Cândido, L. M., Wagner, K. J. P., da Costa, M. E., Pavesi, E., de Avelar, N. C. P., & Danielewicz, A. L. (2022) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00128221 · Cited by 29
Prevalence of and factors associated with hypertension, diabetes, stroke and heart attack multimorbidity in Botswana: Evidence from STEPS 2014 survey
Ntiyani, N., Letamo, G., & Keetile, M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265722 · Cited by 19
The problem of multimorbidity in a modern therapeutic clinic
Sevostyanova, E. V., Nikolaev, Y. A., & Polyakov, V. Y. (2022) · Bulletin of Siberian Medicine · doi:10.20538/1682-0363-2022-1-162-170 · Cited by 19
Multimorbidity transitions and the associated healthcare cost among the Finnish adult population during a two-year follow-up
Wikström, K., Linna, M., Reissell, E., & Laatikainen, T. K. (2023) · Journal of Multimorbidity and Comorbidity · doi:10.1177/26335565231202325 · Cited by 19
Multimorbidity in Māori and Pacific patients: cross-sectional study in a Dunedin general practice
Stokes, T., Azam, M., & Doolan‐Noble, F. (2018) · Journal of Primary Health Care · doi:10.1071/hc17046 · Cited by 19
Socioeconomic inequalities in the prevalence of complex multimorbidity in a Norwegian population: findings from the cross-sectional HUNT Study
Vinjerui, K. H., Bjerkeset, O. A., Bjørngaard, J. H., Krokstad, S., Douglas, K. A., & Sund, E. R. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-036851 · Cited by 19
Incidence, Progression, and Patterns of Multimorbidity in Community-Dwelling Middle-Aged Men and Women
Shang, X., Peng, W., Hill, E., Szoeke, C. E. I., He, M., & Zhang, L. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00404 · Cited by 19
Socioeconomic Position, Multimorbidity and Mortality in a Population Cohort: The HUNT Study
Vinjerui, K. H., Bjørngaard, J. H., Krokstad, S., Douglas, K. A., & Sund, E. R. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9092759 · Cited by 19
The rising complexity and burden of multimorbidity in a middle-income country
Prathapan, S., Fernando, G. V. M. C., Matthias, A. T., Yashodara, C., Abeygunawardhana, H. M. G., & Somathilake, B. G. G. K. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243614 · Cited by 19
Identifying multimorbid patients with high care needs - A study based on electronic medical record data
Heins, M. J., Korevaar, J. C., Schellevis, F., & Rijken, M. (2020) · European Journal of General Practice · doi:10.1080/13814788.2020.1854719 · Cited by 19
Medication-Related Problems in Older People with Multimorbidity in Catalonia: A Real-World Data Study with 5 Years’ Follow-Up
Troncoso‐Mariño, A., Roso‐Llorach, A., López‐Jiménez, T., Villén, N., Amado, E., Fernández‐Bertolín, S., Carrasco-Ribelles, L. A., Borràs, J. M., & Violán, C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10040709 · Cited by 19
Comorbidities Associated with Worse Outcomes Among Inpatients Admitted for Acute Gastrointestinal Bleeding
Siebenhuener, K., Blaser, J., Nowak, A., Cheetham, M., Mueller, B. U., Battegay, E. J., & Beeler, P. E. (2021) · Digestive Diseases and Sciences · doi:10.1007/s10620-021-07197-7 · Cited by 19
The burden of cardiovascular morbidity in a European Mediterranean population with multimorbidity: a cross-sectional study
Violán, C., Bejarano-Rivera, N., Boreu, Q. F., Roso‐Llorach, A., Pons‐Vigués, M., Martin, M. L., & Ribera, E. P. (2016) · BMC Family Practice · doi:10.1186/s12875-016-0546-4 · Cited by 19
Classification of patients with osteoarthritis through clusters of comorbidities using 633 330 individuals from Spain
Moncusí, M. P., Dernie, F., Dell’Isola, A., Kamps, A., Runhaar, J., Swain, S., Zhang, W., Englund, M., Pitsillidou, I. A., Strauss, V. Y., et al. (2023) · Rheumatology · doi:10.1093/rheumatology/kead038 · Cited by 18
Delineating and clarifying the concept of self-care monitoring: a concept analysis
Johnsson, N., Strandberg, S., Tuvesson, H., Fagerström, C., Ekstedt, M., & Lindberg, C. (2023) · International Journal of Qualitative Studies on Health and Well-Being · doi:10.1080/17482631.2023.2241231 · Cited by 18
Self-care management and experiences of using telemonitoring as support when living with hypertension or heart failure: A descriptive qualitative study
Strandberg, S., Backåberg, S., Fagerström, C., & Ekstedt, M. (2023) · International Journal of Nursing Studies Advances · doi:10.1016/j.ijnsa.2023.100149 · Cited by 18
Un miembro del personal de la Building Foundation for Development ayuda a preparar suministros para su entrega a instalaciones sanitarias y campos de desplazados en Al Jazirah (Sudán), que actualmente acoge a desplazados internos que huyen del conflicto en Jartum (Sudán).
Spencer, S. A., Rylance, J., Quint, J. K., Gordon, S. B., Dark, P. M., & Morton, B. (2023) · Bulletin of the World Health Organization · doi:10.2471/blt.22.289597 · Cited by 18
Perceptions and experiences of living with and providing care for multimorbidity: A qualitative interview study
Simpson, G., Morrison, L. G., Santer, M., Hijryana, M., Farmer, A. A., & Dambha‐Miller, H. (2024) · Journal of Multimorbidity and Comorbidity · doi:10.1177/26335565241240820 · Cited by 18
Excess weight and multimorbidity: putting people's health experience in risk factor epidemiology
Ezzati, M. (2017) · The Lancet Public Health · doi:10.1016/s2468-2667(17)30093-2 · Cited by 18
Do Older Adults with Multimorbidity Meet the Recommended Levels of Physical Activity? An Analysis of Scottish Health Survey
Salman, A., & Sellami, M. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16193748 · Cited by 18
Different definitions of multimorbidity and their effect on prevalence rates: a retrospective study in German general practices
Hauswaldt, J., Schmalstieg-Bahr, K., & Himmel, W. (2022) · Primary Health Care Research & Development · doi:10.1017/s146342362200010x · Cited by 17
Trajectories in Outpatient Care for People with Multimorbidity: A Population-Based Register Study in Denmark
Bell, C., Prior, A., Frølich, A., Appel, C., & Vedsted, P. (2022) · Clinical Epidemiology · doi:10.2147/clep.s363654 · Cited by 17
Prevalência de multimorbidade em idosos em São Paulo, Brasil: um estudo com o ISA-Capital
Medeiros, K. K. A. S., Bousquat, A., & César, C. L. G. (2022) · Revista de Saúde Pública · doi:10.11606/s1518-8787.2022056004252 · Cited by 17
Maternal multimorbidity and preterm birth in Scotland: an observational record-linkage study
Azcoaga-Lorenzo, A., Fagbamigbe, A. F., Agrawal, U., Black, M. E., Usman, M., Lee, S. I., Eastwood, K., Moss, N., Plachcinski, R., Nelson‐Piercy, C., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-03058-4 · Cited by 17
Development of the “chronic condition measurement guide”: a new tool to measure chronic conditions in older people based on ICD-10 and ATC-codes
Juul‐Larsen, H. G., Christensen, L. D., Andersen, O., Bandholm, T., Kaae, S. S., & Petersen, J. (2019) · European Geriatric Medicine · doi:10.1007/s41999-019-00188-y · Cited by 17
Pathogenesis of multimorbidity—what is known?
Wetterling, T. (2020) · Zeitschrift für Gerontologie und Geriatrie · doi:10.1007/s00391-020-01752-z · Cited by 17
Association of multimorbidity with higher levels of urinary incontinence: a cross-sectional study of 23 089 individuals aged ≥15 years residing in Spain
Jacob, L., Sánchez, G. F. L., Oh, H. Y., Shin, J. I., Grabovac, I., Soysal, P., Ilie, P. C., Veronese, N., Koyanagi, A., & Smith, L. (2020) · British Journal of General Practice · doi:10.3399/bjgp20x713921 · Cited by 17
COPD significantly increases cerebral and cardiovascular events in hypertensives
Perticone, M., Maio, R., Caroleo, B., Suraci, E., Corrao, S., Sesti, G., & Perticone, F. (2021) · Scientific Reports · doi:10.1038/s41598-021-86963-z · Cited by 17
Psychological distress, cardiometabolic diseases and musculoskeletal pain: A cross-sectional, population-based study of syndemic ill health in a Dutch fishing village
Slagboom, M. N., Reis, R., Tsai, A. C., Büchner, F. L., Dijk, D. J. A. V. D.-V., & Crone, M. R. (2021) · Journal of Global Health · doi:10.7189/jogh.11.04029 · Cited by 17
Shared decision making: A dual‐layer model to tackling multimorbidity in primary care
Ng, C. J., Lee, Y. K., Abdullah, A. B., Bakar, A. I. A., Malik, T. F. A., & Tiew, H. W. (2019) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.13163 · Cited by 17
Towards Increased Visibility of Multimorbidity Research
Ramond‐Roquin, A., & Fortin, M. (2016) · Journal of Comorbidity · doi:10.15256/joc.2016.6.80 · Cited by 17
Complexity in disease management: A linked data analysis of multimorbidity in Aboriginal and non-Aboriginal patients hospitalised with atherothrombotic disease in Western Australia
Hussain, M. A., Katzenellenbogen, J. M., Sanfilippo, F. M., Murray, K., & Thompson, S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201496 · Cited by 16
Health behaviour, social support, socio-economic status and the 5-year progression of multimorbidity: Results from the MultiCare Cohort Study
Schäfer, I., Hansen, H., Kaduszkiewicz, H., Bickel, H., Fuchs, Â., Gensichen, J. S., Maier, W., Riedel-Heller, S. G., König, H., Dahlhaus, A., et al. (2019) · Journal of Comorbidity · doi:10.1177/2235042x19883560 · Cited by 17
Patterns and Characteristics of Polypharmacy Among Elderly Residents in Danish Nursing Homes
Astorp, J., Gjela, M., Jensen, P., Bak, R. D., & Gazerani, P. (2020) · Future Science OA · doi:10.2144/fsoa-2020-0039 · Cited by 16
Are there sex differences in potentially inappropriate prescribing in adults with multimorbidity?
Ukhanova, M., Markwardt, S., Furuno, J. P., Davis, L., Noble, B. N., & Quiñones, A. R. (2021) · Journal of the American Geriatrics Society · doi:10.1111/jgs.17194 · Cited by 16
The Interplay between Housing Environmental Attributes and Design Exposures and Psychoneuroimmunology Profile—An Exploratory Review and Analysis Paper in the Cancer Survivors’ Mental Health Morbidity Context
Hernandez-Garcia, E., Chrysikou, E. G., & Kalea, A. Z. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182010891 · Cited by 16
A Personalized Care Plan Is Positively Associated With Better Clinical Outcomes in the Care of Patients With Type 2 Diabetes: A Cross-Sectional Real-Life Study
Mikkola, I., Hagnäs, M. P., Hartšenko, J., Kaila, M., & Winell, K. (2019) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2019.05.003 · Cited by 21
Multimorbidity in Finnish and Swedish speaking Finns; association with daily habits and socioeconomic status – Nordic EpiLung cross-sectional study
Andersén, H., Kankaanranta, H., Tuomisto, L. E., Piirilä, P. L., Sovijärvi, A. R. A., Langhammer, A., Bäckman, H., Lundbäck, B., Rönmark, E., Lehtimäki, L. A., et al. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101338 · Cited by 16
Preventive interventions to improve older people’s health outcomes: systematic review and meta-analysis
Palapar, L., Blom, J. W., Wilkinson‐Meyers, L., Lumley, T., & Kerse, N. M. (2023) · British Journal of General Practice · doi:10.3399/bjgp.2023.0180 · Cited by 15
Self-citation
Multimorbidity groups based on numbers of chronic conditions are associated with daily activity
Klinedinst, T. C., Terhorst, L. A., & Rodakowski, J. L. (2021) · Chronic Illness · doi:10.1177/17423953211023964 · Cited by 15
20-year trends in multimorbidity by race/ethnicity among hospitalized patient populations in the United States
MOHAMUD, M., Campbell, D. J. T., Wick, J., Leung, A. A. C., Fabreau, G. E., Tonelli, M. A., & Ronksley, P. E. (2023) · International Journal for Equity in Health · doi:10.1186/s12939-023-01950-2 · Cited by 15
Malnutrition and Polypharmacy in Older Adult Patients Receiving Home Care Nursing Services: A Cross-sectional Study
Fiske, M., Moen, A., Mdala, I., & Straand, J. (2023) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2023.11.016 · Cited by 15
The extent and burden of high multimorbidity on older adults in the US: a descriptive analysis of Medicare beneficiaries
Dorr, D. A., Markwardt, S., Bobo, M., Allore, H. G., Botoseneanu, A., Newsom, J. T., Nagel, C., & Quiñones, A. R. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-05329-y · Cited by 15
Energy Expenditure in Older People Hospitalized for an Acute Episode
Bonnefoy, M., Gilbert, T., Normand, S., Jauffret, M., Roy, P., Morio, B., Cornu, C., Roche, S., & Laville, M. (2019) · Nutrients · doi:10.3390/nu11122946 · Cited by 15
Urban–rural and socioeconomic status: Impact on multimorbidity prevalence in hospitalized patients
Robertson, L. M., Ayansina, D., Johnston, M. C., Marks, A., & Black, C. (2020) · Journal of Comorbidity · doi:10.1177/2235042x19893470 · Cited by 15
An Audio Personal Health Library of Clinic Visit Recordings for Patients and Their Caregivers (HealthPAL): User-Centered Design Approach
Barr, P. J., Haslett, W. R., Dannenberg, M. D., Oh, L., Elwyn, G. J., Hassanpour, S., Bonasia, K., Finora, J. C., Schoonmaker, J. A., Onsando, W. M., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/25512 · Cited by 15
Multimorbid Patient Experiences With Primary Care at Community Health Centers in Shanghai, China
Jin, H., Wang, Z., Shi, L., Chen, C., Huo, Y., Wuquan, H., Zhang, Y., Lü, Y., Ge, X., Shi, J., et al. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.606188 · Cited by 15
Effects of individual and parental educational levels on multimorbidity classes: a register-based longitudinal study in a Danish population
Schramm, S., Møller, S. P., Tolstrup, J. S., & Laursen, B. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-053274 · Cited by 15
Magnitude, pattern and correlates of multimorbidity among patients attending chronic outpatient medical care in Bahir Dar, northwest Ethiopia: The application of latent class analysis model
Eyowas, F. A., Schneider, M., Alemu, S., Pati, S., & Ambaw, F. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267208 · Cited by 15
Prevalence of Multimorbidity in the Middle East: A Systematic Review of Observational Studies
Singh, K., Alomari, A. M. A., & Lenjawi, B. A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192416502 · Cited by 15
Cross-sectional examination of musculoskeletal conditions and multimorbidity: influence of different thresholds and definitions on prevalence and association estimates
Lowe, D. B., Taylor, M. J., & Hill, S. (2017) · BMC Research Notes · doi:10.1186/s13104-017-2376-4 · Cited by 15
Grupos de morbilidad ajustados: características y comorbilidades de los pacientes crónicos según nivel de riesgo en Atención Primaria
Cortés, J. B., del Cura-González, I., Martínez-Martín, M., López-Rodríguez, C., Jaime-Sisó, M. Á., & Súarez-Fernández, C. (2019) · Atención Primaria · doi:10.1016/j.aprim.2018.12.007 · Cited by 15
Understanding multimorbidity in primary health care.
Nicholson, K., Terry, A. L., Fortin, M., Williamson, T. S., & Thind, A. (2015) · Europe PMC (PubMed Central) · Cited by 15
Changing definitions altered multimorbidity prevalence, but not burden associations, in a musculoskeletal population
Lowe, D. B., Taylor, M. J., & Hill, S. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2016.03.016 · Cited by 15
Individualized versus standardized risk assessment in patients at high risk for adverse drug reactions (IDrug) – study protocol for a pragmatic randomized controlled trial
Stingl, J., Kaumanns, K. L., Claus, K., Lehmann, M., Kastenmüller, K., Bleckwenn, M., Hartmann, G., Steffens, M., Wirtz, D., Leuchs, A., et al. (2016) · BMC Family Practice · doi:10.1186/s12875-016-0447-6 · Cited by 15
Clinical pharmacists working within family practice: what is the evidence?
Cardwell, K., & Smith, S. M. (2018) · Family Practice · doi:10.1093/fampra/cmy003 · Cited by 15
Effectiveness of interventions for the management of multimorbidity in primary care and community settings: systematic review and meta-analysis
Lim, Y. W., Al-Busaidi, I. S., Caya, R., Bricca, A., Mangin, D. A., Wilson, R., & Abbott, J. H. (2025) · Family Practice · doi:10.1093/fampra/cmaf085 · Cited by 15
The person at the centre of health systems: an introduction
Nolte, E., Merkur, S., & Anell, A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108855464.004 · Cited by 14
Accuracy of the electronic health record’s problem list in describing multimorbidity in patients with heart failure in the emergency department
King, B. L., Meyer, M. L., Chari, S. V., Hurka-Richardson, K., Bohrmann, T., Chang, P. P., Rodgers, J. E., Busby‐Whitehead, J., & Casey, M. F. (2022) · PLoS ONE · doi:10.1371/journal.pone.0279033 · Cited by 14
Prevalence and factors associated with multimorbidity in adults in Brazil, according to sex: a population-based cross-sectional survey
Pereira, C. C., Pedroso, C. F., Batista, S. R., & Guimarães, R. A. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1193428 · Cited by 14
Impact of multimorbidity subgroups on the health care use of early pediatric cancer survivors
Harrington, R. L., Qato, D. M., Antoon, J. W., Caskey, R. N., Schumock, G. T., & Lee, T. A. (2019) · Cancer · doi:10.1002/cncr.32201 · Cited by 14
Associations between cataract and multimorbidity: a cross-sectional study of 23,089 adults from Spain
Jacob, L., Sánchez, G. F. L., Yang, L., Haro, J. M., Shin, J. I., Veronese, N., Soysal, P., Gorely, T., Koyanagi, A., & Smith, L. (2020) · Eye · doi:10.1038/s41433-020-0962-5 · Cited by 14
Agreement between self-reported morbidity and pharmacy claims data for prescribed medications in an older community based population
Mannion, C., Hughes, J. E., Moriarty, F., Bennett, K., & Cahir, C. (2020) · BMC Geriatrics · doi:10.1186/s12877-020-01684-8 · Cited by 14
Physical activity and sedentary behavior as multimorbidity discriminators among elderly Brazilians: a cross-sectional study
Christofoletti, M., Sandreschi, P. F., Quadros, E. N., d’Orsi, E., Rech, C. R., Manta, S. W., & Benedetti, T. R. B. (2021) · Sao Paulo Medical Journal · doi:10.1590/1516-3180.2020.0504.r1.1802021 · Cited by 16
Gender differences in the Prevalence and Pattern of Disease Combination of Chronic Multimorbidity among Indian Elderly
Sharma, P., & Maurya, P. (2021) · Ageing International · doi:10.1007/s12126-021-09419-9 · Cited by 14
Natural language processing for automated annotation of medication mentions in primary care visit conversations
Ganoe, C. H., Wu, W., Barr, P. J., Haslett, W. R., Dannenberg, M. D., Bonasia, K., Finora, J. C., Schoonmaker, J. A., Onsando, W. M., Ryan, J., et al. (2021) · JAMIA Open · doi:10.1093/jamiaopen/ooab071 · Cited by 14
Everyday Lives of Middle-Aged Persons with Multimorbidity: A Mixed Methods Systematic Review
González‐González, A. I., Brünn, R., Nothacker, J., Schwarz, C., Nury, E., Dinh, T. S., Brueckle, M.-S., Dieckelmann, M., Müller, B. S., & van den Akker, M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19010006 · Cited by 14
Sociodemographic determinants of multimorbidity in Brazilian adults and older adults: a cross-sectional study
Christofoletti, M., Duca, G. F. D., Benedetti, T. R. B., & Malta, D. C. (2022) · Sao Paulo Medical Journal · doi:10.1590/1516-3180.2021.0105.r1.31052021 · Cited by 14
Multimorbidity and complex multimorbidity, their prevalence, and associated factors on a remote island in Japan: a cross-sectional study
Sugiyama, Y., Mutai, R., Aoki, T., & Matsushima, M. (2022) · BMC Family Practice · doi:10.1186/s12875-022-01860-2 · Cited by 14
Defining and measuring multimorbidity in primary care in Singapore: Results of an online Delphi study
Tyagi, S., Koh, V., Koh, G. C., Low, L. L., & Lee, E. S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0278559 · Cited by 14
Association of educational attainment with hypertension and type-2 diabetes: A Mendelian randomization study
Zhang, X., Yu, S.-L., Qi, L., Li-na, X., & Yang, Q.-T. (2024) · SSM - Population Health · doi:10.1016/j.ssmph.2023.101585 · Cited by 15
Clinical effectiveness of transdiagnostic health management interventions for older people with multimorbidity: a quantitative systematic review
Crowe, M., Jordan, J., Burrell, B., Jones, V., Gillon, D., Harris, S., & Wilkinson, A. (2016) · Journal of Advanced Nursing · doi:10.1111/jan.13011 · Cited by 14
Multimorbidity prevalence in Canada: a comparison of Northern Territories with Provinces, 2013/14
Basham, C. A., & Karim, M. E. (2019) · International Journal of Circumpolar Health · doi:10.1080/22423982.2019.1607703 · Cited by 14
Stroke follow-up in primary care: a Norwegian modelling study on the implications of multimorbidity for guideline adherence
Pedersen, R. A., Pétursson, H., & Hetlevik, I. (2019) · BMC Family Practice · doi:10.1186/s12875-019-1021-9 · Cited by 14
Prevalence of multimorbidity with frailty and associations with socioeconomic position in an adult population: findings from the cross-sectional HUNT Study in Norway
Vinjerui, K. H., Boeckxstaens, P., Douglas, K. A., & Sund, E. R. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-035070 · Cited by 14
Predictors of multimorbidity among the Kurdish population living in the Northwest of Iran
Aminisani, N., Rastgou, L., Shamshirgaran, S. M., Sarbakhsh, P., Ghaderi, S., & Hyde, M. (2020) · BMC Public Health · doi:10.1186/s12889-020-09214-2 · Cited by 14
Classifying maternal deaths in Suriname using WHO ICD-MM: different interpretation by Physicians, National and International Maternal Death Review Committees
Kodan, L. R., Verschueren, K. J. C., McCaw‐Binns, A., Tjon-Kon-Fat, R. I., Browne, J. L., Rijken, M. J., & Bloemenkamp, K. W. M. (2021) · Reproductive Health · doi:10.1186/s12978-020-01051-1 · Cited by 14
Multimorbidity and health-related quality of life among patients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia: The application of partial proportional odds model
Eyowas, F. A., Schneider, M., Balcha, S. A., Pati, S., & Ambaw, F. (2022) · PLOS Global Public Health · doi:10.1371/journal.pgph.0001176 · Cited by 13
Multimorbidity, disease count, mortality and emergency care use in persons attending the emergency department: a cross-sectional data-linkage study
McParland, C., Cooper, M., Lowe, D. J., Stanley, B., & Johnston, B. M. (2022) · Journal of Multimorbidity and Comorbidity · doi:10.1177/26335565221147417 · Cited by 13
Effects of family multi-generational relationship on multimorbidity and healthy life expectancy for second generations: insight from the China Health and Retirement Longitudinal Study
Xi, J., Zhong, S.-R., Zhou, Y., Lin, X., & Hao, Y. (2023) · BMC Geriatrics · doi:10.1186/s12877-022-03714-z · Cited by 13
Research trends in the mental health and multimorbidity of older people from 2002 to 2022: A bibliometric analysis via CiteSpace
Zhou, J., Song, D., Ma, J., Zhang, G., Wu, C., Chen, Q., & Zeng, L. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1117554 · Cited by 13
The Impact of Multimorbidity on All-Cause Mortality: A Longitudinal Study of 87,151 Thai Adults
Feng, X., Sarma, H., Seubsman, S., Sleigh, A. C., & Kelly, M. J. (2023) · International Journal of Public Health · doi:10.3389/ijph.2023.1606137 · Cited by 13
Trajectories of chronic multimorbidity patterns in older patients: MTOP study
Lleal, M., Baré, M., Herranz, S., Orús, J., Comet, R., Jordana, R., & Baré, M. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-04925-2 · Cited by 13
The impact of place on multimorbidity: A systematic scoping review
Zheng, C., MacRae, C., Rowley-Abel, L., Arakelyan, S., Abubakar, E., Dibben, C. J. L., Guthrie, B., Marshall, A. D., & Pearce, J. R. (2024) · Social Science & Medicine · doi:10.1016/j.socscimed.2024.117379 · Cited by 13
Measuring multimorbidity in hospitalised patients using linked hospital episode data: comparison of two measures
Robertson, L. M., Ayansina, D., Johnston, M. C., Marks, A., & Black, C. (2019) · International Journal for Population Data Science · doi:10.23889/ijpds.v4i1.461 · Cited by 13
Patterns of multimorbidity in medical inpatients: a multinational retrospective cohort study
Aubert, C. E., Schnipper, J. L., Fankhauser, N., Marques-Vidal, P. M., Stirnemann, J., Auerbach, A. D., Zimlichman, E., Kripalani, S. B., Vasilevskis, E. E., Robinson, E. J., et al. (2020) · Internal and Emergency Medicine · doi:10.1007/s11739-020-02306-2 · Cited by 13
Identifying multimorbidity clusters among Brazilian older adults using network analysis: Findings and perspectives
Batista, S. R., Sousa, A. L. L., Nunes, B. P., Silva, R. R., Jardim, P. C. B. V., & Silveira, É. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0271639 · Cited by 13
Multimorbidity and out-of-pocket expenditure on medicine in Europe: Longitudinal analysis of 13 European countries between 2013 and 2015
Palladino, R., Pan, T., Mercer, S. W., Atun, R. A., McPake, B., Rubba, F., Triassi, M., & Lee, J. T. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2022.1053515 · Cited by 13
Anticoagulation quality and clinical outcomes in multimorbid elderly patients with acute venous thromboembolism
Lange, N. F., Méan, M., Stalder, O., Limacher, A., Tritschler, T., Rodondi, N., & Aujesky, D. (2019) · Thrombosis Research · doi:10.1016/j.thromres.2019.02.017 · Cited by 13
Memory and Learning Complaints in Relation to Depression among Elderly People with Multimorbidity
Bishwajit, G., & Mahaman, Y. A. R. (2017) · Geriatrics · doi:10.3390/geriatrics2020015 · Cited by 13
Multimorbidity, not a health condition or complexity by another name
Valderas, J. M. (2015) · European Journal of General Practice · doi:10.3109/13814788.2015.1108404 · Cited by 13
Self-citation
Gender disparities in physical, psychological, and cognitive multimorbidity among elderly hypertensive populations in rural regions
Miao, Y., Zhang, J., Wu, J., Zhu, D., Bai, J., Zhang, J., Ren, R., Guo, D., Zhen, M., Cui, J., et al. (2024) · International Journal for Equity in Health · doi:10.1186/s12939-024-02324-y · Cited by 12
Use of Computation Ecosystems to Analyze the Kidney-Heart Crosstalk
Wu, Z., Lohmöller, J., Kuhl, C. K., Wehrle, K., & Jankowski, J. (2023) · Circulation Research · doi:10.1161/circresaha.123.321765 · Cited by 12
Allostatic load as a predictor of postoperative complications in patients with breast cancer
Chen, J., Elsaid, M. I., Handley, D., Anderson, L., Andersen, B. L., Carson, W. E., Beane, J. D., Kim, A., Skoracki, R. J., Pawlik, T. M., et al. (2024) · npj Breast Cancer · doi:10.1038/s41523-024-00654-2 · Cited by 12
Time trends in patients managed simultaneously in multiple hospital outpatient specialty clinics for chronic diseases: A register-based cross-sectional study
Wolff, D. L., von Plessen, C., Waldorff, F. B., Sørensen, T. L., Bogh, S. B., Rubin, K. H., & Mogensen, C. B. (2019) · Journal of Comorbidity · doi:10.1177/2235042x19831907 · Cited by 12
Multimorbidity of chronic non-communicable diseases: burden, care provision and outcomes over time among patients attending chronic outpatient medical care in Bahir Dar, Ethiopia—a mixed methods study protocol
Eyowas, F. A., Schneider, M., Alemu, S., & Ambaw, F. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-051107 · Cited by 12
Desafios de Inovação em Saúde: Repensar os Modelos de Cuidados
Lopes, M. J. (2021) · Imprensa Universidade de Évora eBooks · doi:10.24902/uevora.24 · Cited by 14

Authors: Violan, C., Foguet-Boreu, Q., Flores-Mateo, G., Salisbury, C., Blom, J., Freitag, M., Glynn, L., Muth, C., & Valderas, J. M.
Affiliations: University of Bristol (GB)
Leiden University Medical Center (NL)
Jena University Hospital (DE)
Ollscoil na Gaillimhe – University of Galway (IE)
Goethe University Frankfurt (DE)
Corresponding author: Salisbury, Chris
Blom, Jeanet
Freitag, Michael
Glynn, Liam
Muth, Christiane
ORCID: Salisbury, Chris
Blom, Jeanet
Freitag, Michael
Glynn, Liam
Muth, Christiane
Venue: PLoS ONE
Publisher: Public Library of Science (PLoS)
Published: 2014-07-21
Volume: 9
Issue: 7
Pages: e102149
ISSN: 1932-6203 (ISSN-L)
DOI: 10.1371/journal.pone.0102149
PMC: PMC4105594
OpenAlex: W2080696239
Cited by: 1,125
References: 59
Citations by year: 2026: 69 · 2025: 80 · 2024: 101 · 2023: 137 · 2022: 151 · 2021: 163 · 2020: 116 · 2019: 102 · 2018: 72 · 2017: 56 · 2016: 40 · 2015: 35 · 2014: 3
FWCI: 5.96
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (unspecified)
Locations: PLoS ONE (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Open Research Exeter (University of Exeter) (publishedVersion, other-oa)
Explore Bristol Research (publishedVersion)
Arrow@dit (Dublin Institute of Technology) (acceptedVersion)
Leiden Repository (Leiden University) (submittedVersion)
Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
RePEc: Research Papers in Economics (submittedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Figshare (submittedVersion, cc-by)
Figshare (submittedVersion, cc-by-nc-sa)
Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) (submittedVersion, cc-by)
University of Limerick Institutional Repository (University of Limerick) (submittedVersion, cc-by-nc-sa)
Funders: National Institute for Health and Care Research (NIHR/CS/010/024)
Ministerio de Ciencia e Innovación
Topics: Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
Health Sciences › Medicine › Family Practice › Primary Care and Health Outcomes
Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
Keywords: multimorbidity, prevalence, primary care, socioeconomic status, age, gender differences, mental illness, osteoarthritis, cardiovascular conditions, metabolic disorders
MeSH terms: Age Factors, Female, Humans, Male, Primary Health Care, Quality of Life, Sex Factors, Socioeconomic Factors, Comorbidity, Prevalence, Observational Studies as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Prevalence, Determinants and Patterns of Multimorbidity in Primary Care: A Systematic Review of Observational Studies

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks