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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. 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). 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. 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.

Understanding patterns and identifying common clusters of chronic diseases may help policymakers, researchers, and clinicians to understand the needs of the care process better and potentially save both provider and patient time and cost. However, only limited research has been conducted in this area, and ambiguity remains as those limited previous studies used different approaches to identify common clusters and findings may vary with approaches. This study estimates the prevalence of common chronic diseases and examines co-occurrence of diseases using four approaches: (i) identification of the most occurring pairs and triplets of comorbid diseases; performing (ii) cluster analysis of diseases, (iii) principal component analysis, and (iv) latent class analysis. Data were collected using a questionnaire mailed to a cross-sectional sample of senior Australians, with 4574 responses. Eighty-two percent of respondents reported having at least one chronic disease and over 52% reported having at least two chronic diseases. Respondents suffering from any chronic diseases had an average of 2.4 comorbid diseases. Three defined groups of chronic diseases were identified: (i) asthma, bronchitis, arthritis, osteoporosis and depression; (ii) high blood pressure and diabetes; and (iii) cancer, with heart disease and stroke either making a separate group or \"attaching\" themselves to different groups in different analyses. The groups were largely consistent across the approaches. Stability and sensitivity analyses also supported the consistency of the groups. The consistency of the findings suggests there is co-occurrence of diseases beyond chance, and patterns of co-occurrence are important for clinicians, patients, policymakers and researchers. Further studies are needed to provide a strong evidence base to identify comorbid groups which would benefit from appropriate guidelines for the care and management of patients with particular disease clusters.

Background The use of Patient Reported Outcome Measures (PROMS) in clinical practice has the potential to promote patient-centred care and improve patients’ quality of life. Individualized PROMs may be particularly helpful in identifying, prioritizing and monitoring health problems of patients with multimorbidity. We aimed to develop an intervention centred around PROMs feedback as part of Primary Care annual reviews for patients with multimorbidity and evaluate its feasibility and acceptability. Methods We developed a nurse-oriented intervention including (a) training of nurses on PROMs; (b) administration to patients with multimorbidity of individualized and standardized PROMS; and (c) feedback to both patients and nurses of PROMs scores and interpretation guidance. We then tailored the intervention to patients with two or more highly prevalent conditions (asthma, COPD, diabetes, heart failure, depression, and hip/knee osteoarthritis) and designed a non-controlled feasibility and acceptability evaluation in a convenience sample of primary care practices (5). PROMs were administered and scores fed back immediately ahead of scheduled annual reviews with nurses. Patients and nurses rated the acceptability of the intervention using with a brief survey including optional free comments. Thematic analysis of qualitative interviews with a sample of participating patients (10) and nurses (4) and of survey free comments was conducted for further in-depth evaluation of acceptability. Feasibility was estimated based on rates of participation and completion. Results Out of 68 recruited patients (mean age 70; 47% female), 68 completed the PROMs (100%), received feedback (100%) and confirmed nurse awareness of their scores (100%). Most patients (83%) “agreed”/”strongly agreed” that the PROMs feedback had been useful, a view supported by nurses in 89% of reviews. Thematic analysis of rich qualitative data on PROMS administration, feedback and role in annual reviews indicated that both patients and nurses perceived the intervention as acceptable and promising, emphasizing its comprehensiveness and patient-centredness. Conclusions We have developed and tested an intervention focusing on routine PROM assessment of patients with multimorbidity in Primary Care. Preliminary findings support its feasibility and a high degree of acceptability from both patients and nurses. The next step is to conduct a full-scale trial for evaluating the effectiveness of the proposed intervention.

Despite the relevance of mobile technologies and social media (MTSM) for adolescents, their association with depressive disorders in this population remains unclear. While there are previous reviews that have identified the use of MTSM as a risk factor for developing depression, other reviews have indicated their possible preventive effect. The aim of this review was to synthesize the current evidence on the association between MTSM use and the development or prevention of depressive disorders in adolescents. An umbrella review was conducted using information published up to June 2019 from PubMed/MEDLINE, PsycINFO, Web of Science, and The Cochrane Library. Systematic reviews focusing on the adolescent population (up to 20 years old) and depression and its potential relationship with MTSM use were included. Screening of titles, abstracts, and full texts was performed. After selecting the reviews and given the heterogeneity of the outcome variables and exposures, a narrative synthesis of the results was carried out. The search retrieved 338 documents, from which 7 systematic reviews (3 meta-analyses) were selected for data extraction. There were 11-70 studies and 5582-46,015 participants included in the 7 reviews. All reviews included quantitative research, and 2 reviews also included qualitative studies. A statistically significant association between social media and developing depressive symptoms was reported in 2 reviews, while 5 reviews reported mixed results. Excessive social comparison and personal involvement when using MTSM could be associated with the development of depressive symptomatology. Nevertheless, MTSM might promote social support and even become a point of assistance for people with depression. Due to the mixed results, prospective research could be valuable for providing stronger evidence.

This study aimed to analyse the trajectories and mortality of multimorbidity patterns in patients aged 65 to 99 years in Catalonia (Spain). Five year (2012–2016) data of 916,619 participants from a primary care, population-based electronic health record database (Information System for Research in Primary Care, SIDIAP) were included in this retrospective cohort study. Individual longitudinal trajectories were modelled with a Hidden Markov Model across multimorbidity patterns. We computed the mortality hazard using Cox regression models to estimate survival in multimorbidity patterns. Ten multimorbidity patterns were originally identified and two more states (death and drop-outs) were subsequently added. At baseline, the most frequent cluster was the Non-Specific Pattern (42%), and the least frequent the Multisystem Pattern (1.6%) . Most participants stayed in the same cluster over the 5 year follow-up period, from 92.1% in the Nervous, Musculoskeletal pattern to 59.2% in the Cardio-Circulatory and Renal pattern. The highest mortality rates were observed for patterns that included cardio-circulatory diseases: Cardio-Circulatory and Renal (37.1%); Nervous, Digestive and Circulatory (31.8%); and Cardio-Circulatory, Mental, Respiratory and Genitourinary (28.8%). This study demonstrates the feasibility of characterizing multimorbidity patterns along time. Multimorbidity trajectories were generally stable, although changes in specific multimorbidity patterns were observed. The Hidden Markov Model is useful for modelling transitions across multimorbidity patterns and mortality risk. Our findings suggest that health interventions targeting specific multimorbidity patterns may reduce mortality in patients with multimorbidity.

Patient reported outcome measures can help drive global patient centred healthcare reform, but we need a more efficient coordinated approach to assessment if we are to fully realise benefits for patients and society, say Melanie Calvert and colleagues

Background To ascertain whether person centred coordinated care (P3C) is being delivered in healthcare services, components relating to the construct need to be measured. Patient reported measures (PRMs) can be used to provide a measurement of patients’ experiences of P3C. Traditionally, they have been used to assess whether interventions are delivering P3C. Recently there has been an increased interest in using them to directly enhance P3C in clinical practice by, for example, improving practitioner-patient communication. However, there is limited research available on how P3C can be implemented in practice. This study aimed to extend this literature base by exploring how professionals use PRMs to enhance P3C. Methods Cross sectional thematic analysis of 26 semi-structured interviews with a variety of professionals who have experience of how PRMs can be used to make improvements to P3C. Inductive themes were mapped onto components of P3C care that fell under five established domains of P3C (Information and Communication; My Goals/Outcomes; Decision making; Care Planning and Transitions) to explore whether and how individual components of P3C were being improved through PRMs. Barriers and facilitators that affected the delivery and the results of the PRMs were also identified. Results Three P3C domains (Information and Communication, My Goals/Outcomes and Care Planning) were mapped frequently onto themes generated by the participants’ interviews about PRM use. However, the domain ‘Decision Making’ was only mapped onto one theme and ‘Transitions’ was not mapped at all. Participant reports suggested that PRM use by practitioners enhanced patients’ ability to self-manage, communicate, engage and reflect during consultations. Barriers to PRM use were related to a lack of a whole service approach to implementation. Conclusions Practitioners use both PROMs and PREMs in various ways to improve different aspects of patient care. By sharing experiences professionals can benefit from each other’s learning and work together to extend the potential value that PRMs can offer to P3C delivery.

Contradictory findings link trait conscientiousness in mid- and late life to increased healthspan and lifespan, as well as to death by suicide. It remains unclear whether conscientiousness is associated with higher odds of attempting suicide or with more severe suicidal behavior among attempters, and whether its relationship to suicide risk varies with aging-related stressors, such as declining health. In this cross-sectional study comprising 313 depressed adults aged ≥40 years and participating in the Longitudinal Research Program in Late-Life Suicide (Pittsburgh, USA), we employed logistic and linear regression to test whether conscientiousness was associated with the presence of recent suicidal behavior (≤2 years) and with intent severity in recent attempters (n = 84). We further tested whether the above relationships varied based on mental, cognitive, and physical health status, measured as depression severity, cognitive functioning, and the presence/absence of severe physical illness. Participants were 62.1 years old on average (SD = 7.6), 85% White, and 53% female. Recent attempters had a mean age of 61.8 years at their most recent attempt (SD = 8.5), had lower cognitive functioning and were more likely severely physically ill than comparisons. Conscientiousness was positively associated with a higher likelihood of recent suicidal behavior overall (adjusted OR = 1.44, 95% CI = 1.09, 1.90, p = .010), but not in case of co-occurring severe physical illness (interaction OR = 0.54, 95% CI = 0.30, 0.97, p = .039). Conscientiousness was also positively associated with suicidal intent at the most recent attempt (adjusted β = 1.60, SE = 0.62, p = .012), explaining 7% of its variance, although this association lost significance after adjusting for other personality dimensions. Highly conscientious middle-aged and older adults may be at increased risk of resolute suicidal behavior, although conscientiousness may not confer additional suicide risk among those severely physically ill. •Conscientiousness is linked to healthy aging but also to suicide by fewer studies.•We tested associations between conscientiousness & suicidal behavior in later life.•Conscientiousness related to higher odds of a recent attempt in depressed adults.•The above association was not present in those who were severely physically ill.•Among recent attempters, conscientiousness related to more severe intent to die.

Background Patient experience is invaluable for identifying gaps in the provision of healthcare. Patient-Reported Experience Measures (PREMs) are essential tools for evaluating the quality of care from the patient’s viewpoint. Research with PREMs in Asian countries is limited. We aimed to develop and test a Patient Reported Experience Measure for Singapore (PREM-SG) among chronic disease patients in the multi-ethnic population in Singapore. Methods We carried out a nationwide cross-sectional household survey with a proportionate stratified by broad dwelling types random sampling in Singapore. Participants were Singapore citizens and permanent residents aged 45 years old or above and had at least one common chronic condition. A total of 1462 patients who completed the 13-item PREM-SG (English, Chinese, Malay) for their regular or most recently visited healthcare provider were included in the current analysis. Results The PREM-SG had a unidimensional structure, and satisfactory reliability (Cronbach’s alpha = 0.89) and construct validity. Item response theory models revealed that two items (continuity, safety) discriminated poorly and had low item information (slopes < 0.7). Examining differential item functioning of the PREM-SG without these two items demonstrated measurement equivalence across genders. One item (coordination) elicited more positive ratings in the Chinese version compared to the English version given the same level of latent trait, without a substantially impact on the overall scores. Having a regular care provider, being of older age, and having better self-reported health was associated with higher PREM scores. Conclusions Preliminary evidence documented satisfactory psychometric properties of PREM-SG for individuals (age 45+) with chronic conditions. Refinement and more research are needed to further evaluate the validity and usefulness of PREM-SG.

IntroductionMultimorbidity contributes significantly to poor population health outcomes while straining healthcare systems. Although some multimorbid patients experience an accelerated health decline (a decline in well-being or functional status that cannot be attributed to the natural ageing-related health deterioration), others can remain stable for years. Identifying risk factors for accelerated health decline in persons with multimorbidity could help prevent complications and reduce unnecessary interventions. Our review, therefore, aims to map the evidence on the clinical, biographical and healthcare-related factors associated with an accelerated health decline in multimorbid individuals.Methods and analysisWe will use the evidence-mapping review methodology. We will perform a systematic comprehensive literature search in Medline via Pubmed, Cochrane Library, EMBASE, Web of Science and Google Scholar using two broad concepts: ‘multimorbidity’ and ‘longitudinal studies’. We will search with MeSH terms (eg, ‘Multimorbidity’ (Majr), ‘Longitudinal Studies’ (Majr)) and free text words (eg, multimorbidity, multiple chronic condition*, longitudinal), from inception to date of the final search. All original quantitative studies involving participants in primary care and related healthcare settings will be included. Abstract/titles and full-text screening and data extraction will be performed independently by two or more researchers to minimise selection and reporting bias, with conflicts resolved by consensus. The data will be analysed qualitatively, and topics will be extracted to create evidence clusters. Risk factors will be classified in groups and cross-referenced against the outcomes from respective studies into combinations of exposure-outcome clusters. The resulting evidence clusters will be described narratively and presented as bubble plots. The search, initiated in January 2023, will be updated following this protocol review to reflect the most current evidence; exact dates will be reported in the results manuscript.Ethics and disseminationDue to the nature of the proposed evidence map, ethics approval will not be required. Results from our research will be disseminated through publications in peer-reviewed journals and presentations at local, national and international conferences.OSF registration DOIhttps://osf.io/q72xa/