BackgroundEstimating multimorbidity (presence of two or more chronic conditions) using administrative data is becoming increasingly common. We investigated (1) the concordance of identification of chronic conditions and multimorbidity using self-report survey and administrative datasets; (2) characteristics of people with multimorbidity ascertained using different data sources; and (3) whether the same individuals are classified as multimorbid using different data sources.MethodsBaseline survey data for 90,352 participants of the 45 and Up Study—a cohort study of residents of New South Wales, Australia, aged 45 years and over—were linked to prior two-year pharmaceutical claims and hospital admission records. Concordance of eight self-report chronic conditions (reference) with claims and hospital data were examined using sensitivity (Sn), positive predictive value (PPV), and kappa (κ).The characteristics of people classified as multimorbid were compared using logistic regression modelling.ResultsAgreement was found to be highest for diabetes in both hospital and claims data (κ = 0.79, 0.78; Sn = 79%, 72%; PPV = 86%, 90%). The prevalence of multimorbidity was highest using self-report data (37.4%), followed by claims data (36.1%) and hospital data (19.3%). Combining all three datasets identified a total of 46 683 (52%) people with multimorbidity, with half of these identified using a single dataset only, and up to 20% identified on all three datasets. Characteristics of persons with and without multimorbidity were generally similar. However, the age gradient was more pronounced and people speaking a language other than English at home were more likely to be identified as multimorbid by administrative data.ConclusionsDifferent individuals, with different combinations of conditions, are identified as multimorbid when different data sources are used. As such, caution should be applied when ascertaining morbidity from a single data source as the agreement between self-report and administrative data is generally poor. Future multimorbidity research exploring specific disease combinations and clusters of diseases that commonly co-occur, rather than a simple disease count, is likely to provide more useful insights into the complex care needs of individuals with multiple chronic conditions.

Background:Chronic obstructive pulmonary disease (COPD), a major cause of morbidity and mortality worldwide, often occurs in the presence of comorbidities, which may influence experience and management of the disease. No prior research seems to have gained perspectives of newly diagnosed primary care COPD patients in the context of multimorbidity.Aims:This qualitative study aimed to explore the impact of a new diagnosis of COPD in the context of multimorbidity and also sought to gain a better understanding of how patients react to the diagnosis and incorporate it into their lives.Methods:Participants were identified from a cohort of primary care patients with multimorbidity recently diagnosed with COPD. Data was collected via semi-structured interviews from nine male and eight female participants. Thematic analysis was performed and the data interpreted from a constructivist perspective.Results:Five core themes regarding COPD were induced: (i) reaction to diagnosis, (ii) impact on function and health behaviour, (iii) factors influencing self-management capacity, (iv) healthcare utilisation and (v) interplay of comorbidities. Most participants had difficulty recognising the importance of COPD and its long-term implications. For many, the salience of another chronic condition outweighed COPD. Self-management capacity and utilisation of healthcare services were challenged by low prioritisation of COPD among other comorbidities.Conclusions:This study provides an insight into how primary care patients feel about being diagnosed with COPD, as well as their prioritisation of the disease in the context of multimorbidity. It highlights the need for tailored education and personalised management incorporating patients’ perspectives in primary care.

Background: Smartphones play a critical role in increasing human–machine interactions, with many advantages. However, the growing popularity of smartphone use has led to smartphone overuse and addiction. This review aims to systematically investigate the impact of smartphone addiction on health outcomes. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were used to carry out the systematic review. Five electronic databases including Medline, Web of Science, PsycINFO, PubMed, and Scopus were searched to identify eligible studies. Eligible studies were screened against predetermined inclusion criteria and data were extracted according to the review questions. This review is registered in PROSPERO (CRD42020181404). The quality of the articles was assessed using the National Institutes of Health (NIH) Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Results: A total of 27 of 2550 articles met the inclusion criteria. All of the studies were cross-sectional and focused on physical, mental, and neurological health outcomes. The majority of the studies focused on mental health outcomes and consistent associations were observed between smartphone addiction and several mental health outcomes. Anxiety and depression were commonly found to mediate mental health problems. A wide range of physical health sequelae was also associated with smartphone addiction. Furthermore, there was an association between smartphone addiction and neurological disorders. Conclusions: Our findings suggest that there are consistent associations between smartphone addiction and physical and mental health, especially mental health. Social awareness campaigns about smartphone addiction and its impact on physical and mental health are needed. Further studies, especially randomized controlled trials, are warranted to validate the impacts of smartphone addiction.

The purpose of this review is to summarise the existing evidence about the association of health literacy (HL) with type 2 diabetes mellitus self-management. The PubMed, Medline, CINHAL, Scopus and Web of Science databases were searched for randomised control trials of type 2 diabetes mellitus (T2DM) self-management and HL published between 2009 and 2018. Fourteen randomised control trials were included in this review. Our findings showed that HL was instrumental in improving diabetes knowledge, physical activity, self-efficacy and quality of life; however, its associations with glycaemic control, self-monitoring of blood glucose, foot care and medication adherence was inconclusive. Customized and community-based HL interventions were more efficient compared to patient-focused HL interventions. This review concludes that HL is key for T2DM self-management, but customised, structured and community-based interventions are more likely to yield better outcomes.

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COVID-19 has caused extensive human casualties with significant economic impacts around the globe, and has imposed new challenges on health systems worldwide. Over the past decade, SARS, Ebola, and Zika also led to significant concerns among the scientific community. Interestingly, the SARS and Zika epidemics ended before vaccine development; however, the scholarly community and the pharmaceutical companies responded very quickly at that time. Similarly, when the genetic sequence of SARS-CoV-2 was revealed, global vaccine companies and scientists have stepped forward to develop a vaccine, triggering a race toward vaccine development that the whole world is relying on. Similarly, an effective and safe vaccine could play a pivotal role in eradicating COVID-19. However, few important questions regarding SARS-CoV-2 vaccine development are explored in this review.

Current evidence indicates that although they are correlated, health literacy (HL) and patient activation (PA) are distinct. This article describes how HL, PA and their determinants intersect and diverge and how these concepts might inform the development of self-management interventions. The concepts of HL and PA contribute to self-management interventions in different ways. HL includes the skills and confidence required for self-management while PA focuses more on motivation and ability to take action. In this light, communication of concepts on HL and PA needs to be more widely understood by academics, researchers and policy experts as each of them plays a unique role in promoting self-management for long-term conditions such as chronic obstructive pulmonary disease.

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