The global burden of multiple chronic conditions: A narrative review

A systematic review of artificial intelligence-powered (AI-powered) chatbot intervention for managing chronic illness

BACKGROUND

Utilizing artificial intelligence (AI) in chatbots, especially for chronic diseases, has become increasingly prevalent. These AI-powered chatbots serve as crucial tools for enhancing patient communication, addressing the rising prevalence of chronic conditions, and meeting the growing demand for supportive healthcare applications. However, there is a notable gap in comprehensive reviews evaluating the impact of AI-powered chatbot interventions in healthcare within academic literature. This study aimed to assess user satisfaction, intervention efficacy, and the specific characteristics and AI architectures of chatbot systems designed for chronic diseases.

METHOD

A thorough exploration of the existing literature was undertaken by employing diverse databases such as PubMed MEDLINE, CINAHL, EMBASE, PsycINFO, ACM Digital Library and Scopus. The studies incorporated in this analysis encompassed primary research that employed chatbots or other forms of AI architecture in the context of preventing, treating or rehabilitating chronic diseases. The assessment of bias risk was conducted using Risk of 2.0 Tools.

RESULTS

Seven hundred and eighty-four results were obtained, and subsequently, eight studies were found to align with the inclusion criteria. The intervention methods encompassed health education (n = 3), behaviour change theory (n = 1), stress and coping (n = 1), cognitive behavioural therapy (n = 2) and self-care behaviour (n = 1). The research provided valuable insights into the effectiveness and user-friendliness of AI-powered chatbots in handling various chronic conditions. Overall, users showed favourable acceptance of these chatbots for self-managing chronic illnesses.

CONCLUSIONS

The reviewed studies suggest promising acceptance of AI-powered chatbots for self-managing chronic conditions. However, limited evidence on their efficacy due to insufficient technical documentation calls for future studies to provide detailed descriptions and prioritize patient safety. These chatbots employ natural language processing and multimodal interaction. Subsequent research should focus on evidence-based evaluations, facilitating comparisons across diverse chronic health conditions.

Bee products: An overview of sources, biological activities and advanced approaches used in apitherapy application

Background

Bee therapy (Apitherapy, Api-treatment, Bee treatment) is a type of biotherapy that uses bees and their products as medicinal or preventative measures to control progression of diseases. In many countries today, apitherapy is a section of complementary and integrative medicine. The aim of this review is to explore the different bee products and their therapeutic potentials.

Method

We searched the literature and then explored and evaluated evidence for bee products' composition, therapeutic abilities and novel techniques used to enhance their effectiveness.

Results

Data revealed that there are continuous advances in research and clinical trials of bee therapy. A better understanding of the composition of bee products generated great interest in their use for medical treatments. Bee products either collected or synthesized promote healing through reducing inflammation, enhancing circulation, and inducing a healthy immunological response, Furthermore, researchers have developed innovative approaches such as nanoparticles, scaffold, nanofibers, and others to increase the bioavailability of bee products and overcome problems with the traditional use of these products.

Conclusion

Bee therapy is a simple, accessible, and easy-to-use pharmaceutical that is used in conventional medicine and has the potential to treat a variety of diseases. However, further studies are needed to prove its efficacy, and safety. Lack of practice regulations is still an issue.

Navigating the Limits of Diagnosis: Young Adults' Experiences of Chronic Living

Young adults living with chronic illness often experience considerable uncertainty across the emotional, cultural and medical spheres of their everyday lives. The process of seeking, receiving and reckoning with a diagnosis has frequently been an in-road for qualitative examinations of these experiences. As a result, the biomedical diagnosis has often taken centre stage in research concerning how uncertainty is managed and/or more stability is found. However, the significance of diagnosis can shift over time, and in many cases, the promise of diagnosis deteriorates as life unfolds. This study draws on a series of in-depth qualitative interviews with 33 young adults (ages 19-29) living with a range of chronic illnesses, which include auto-immune illnesses, fatigue syndromes and neurological conditions. Undertaking an inductive interpretative analysis based on constructivist grounded theory, we examine the role and meaning of diagnosis for our participants and find that they iteratively de-centre diagnosis in various circumstances. We suggest that while the way young adults manage chronic illness may involve seeking a diagnosis, navigating the shortcomings of diagnosis takes a significant emotional toll, and a failure to recognise this work is one important way that the experience of chronic illness when young can be misunderstood.

[Community activities carried out in Primary Care in Galicia between 2018 and 2022: A descriptive study]

OBJECTIVE

To analyse the implementation and identify and describe the community activities (CA) developed during 2018-2022, in the Primary Health Care (PHC) of the health area of Santiago de Compostela y Barbanza. In addition, the barriers and facilitators for its development will be determined.

DESIGN

Observational, cross-sectional study.

SETTING

The study was conducted in Galicia, an autonomous community located in northwestern Spain, covering the 74 health centres in the health area, which are part of the public network of the Spanish health system.

PARTICIPANTS

All nursing coordinators were invited to participate, as well as heads of service and those PHC professionals with greater knowledge of the CA developed.

MAIN MEASUREMENTS

A hetero-administered questionnaire on the characteristics, barriers and facilitators of CA was completed by means of a telephone interview.

RESULTS

A total of 95 CA were identified. Most were one-time activities (72.6%), single-session (67.4%), with passive participation of the attendees (100%) and little cross-sectoral collaboration (9.5%). 76.8% of the CA were not evaluated and arose on the initiative of PHC professionals. The flexibility of PHC professionals' agendas was identified as a key factor in achieving the implementation of CA in PHC.

CONCLUSIONS

In order to achieve an effective implementation of CA, greater institutional involvement is crucial to facilitate the flexibility of PHC agendas, the evaluation of CA, the incorporation of professionals with specific training in community care, as well as greater collaboration with community agents.

Effectiveness of physiotherapist-led tele-rehabilitation for older adults with chronic conditions: a systematic review and meta-analysis

BACKGROUND

Older adults live with chronic conditions worldwide. The aim of this systematic review was to determine the effectiveness of physiotherapist-led (PT-led) tele-rehabilitation on various health outcomes.

METHODS

Six databases were searched. Eligible studies were randomized controlled trials that included older adults (≥65 years) who had ≥1 chronic condition, and evaluated tele-rehabilitation (e.g., video, telephone) that was PT-led or overseen. Screening and data extraction were performed in duplicate. Meta-analyses were performed where appropriate. Cochrane's Risk of Bias 2.0 tool was used.

RESULTS

Fifteen studies were included. A meta-analysis of studies of knee osteoarthritis demonstrated that tele-rehabilitation is more effective than usual care for functional mobility (MD= -2.72, 95% CI= -3.56, -1.88, p < 0.001), quadriceps strength (MD= 15.54, 95% CI= 10.14, 20.95, p < 0.001), pain (MD= -1.2, 95% CI= -2.09, -0.39, p = 0.004) and physical function (MD= -5.95, 95% CI= -8.32, -3.58, p < 0.001). No clear differences were found between tele-rehabilitation and usual care or comparator interventions for outcomes related to physical activity level, gait speed, mental health, and quality of life.

CONCLUSIONS

PT-led tele-rehabilitation appears to be comparable to traditional methods at improving outcomes in older adults with various chronic conditions. However, high-quality trials are needed so future conclusions on the effectiveness of tele-rehabilitation can be made.

CRD42023428048.

Integration of a Community Opioid Treatment Program Into a Federally Qualified Health Center

OBJECTIVES

With the increasing rates of opioid overdose deaths in the United States, barriers to treatment access for patients seeking medications for opioid use disorder (OUD), and challenges of initiating buprenorphine in patients who use fentanyl, it is essential to explore novel approaches to expanding access to methadone treatment. An opioid treatment program (OTP) and a federally qualified health center (FQHC) partnered to develop and implement an innovative integrated methadone and primary care treatment model. The process for integrating an OTP and FQHC to provide methadone treatment in the primary care setting will be discussed.

METHODS

An OTP methadone dispensing site was co-located in the FQHC, utilizing a staffing matrix built on the expertise of each stakeholder. The OTP managed DEA and state regulatory processes, whereas the FQHC physicians provided medical treatment, including methadone treatment protocols, treatment plans, and primary care. Patient demographics, medical history, and retention data for those who entered the program between January 2021 and February 2023 were collected through chart review and analyzed with descriptive statistics.

RESULTS

A total of 288 OTP-FHQC patients were enrolled during the study. Retention rates in methadone treatment at 90 and 180 days were similar to partner clinics.

CONCLUSIONS

Collaboration between FQHCs and OTPs is operationally feasible and can be achieved utilizing the current staffing model of the FQHC and OTP. This model can increase access to treatment for OUD and primary care for an urban, underserved patient population.

Mobile phone interventions to improve health outcomes among patients with chronic diseases: an umbrella review and evidence synthesis from 34 meta-analyses

This umbrella review of 34 meta-analyses, representing 235 randomised controlled trials done across 52 countries and 48 957 participants and ten chronic conditions, aimed to evaluate evidence on the efficacy of mobile phone interventions for populations with chronic diseases. We evaluated the strengths of evidence via the Fusar-Poli and Radua methodology. Compared with usual care, mobile apps had convincing effects on glycated haemoglobin reduction among adults with type 2 diabetes (d=0·44). Highly suggestive effects were found for both text messages and apps on various outcomes, including medication adherence (among patients with HIV in sub-Saharan Africa and people with cardiovascular disease), glucose management in type 2 diabetes, and blood pressure reduction in hypertension. Many effects (42%) were non-significant. Various gaps were identified, such as a scarcity of reporting on moderators and publication bias by meta-analyses, little research in low-income and lower-middle-income countries, and little reporting on adverse events.

Private practice dietetics: A scoping review of the literature

AIM

Private practice is one of the most rapidly growing, but under-researched employment sectors for graduate dietitians in Australia, limiting evidence-based workforce development. This scoping review examines existing international literature to gain an understanding of the current private practice workforce size, distribution, demography and workforce development considerations, including competencies, supply and demand, remuneration and professional development activities.

METHODS

The databases MEDLINE, EMBASE, CINAHL, EMCARE, PsycInfo (Ovid) and grey literature were systematically searched in August 2023 using key search terms to identify studies for inclusion. Articles were included if they related to private practice dietetics and described an aspect of workforce. Original research, government and organisational reports, statements of practice and websites providing governmental or organisational statistics were included. A directed content analysis and qualitative constant comparison technique were used to deductively map intelligence sources against a workforce development framework. A gap analysis was also conducted to provide a focus for future workforce development research.

RESULTS

A total of 72 peer-reviewed and grey literature sources were included, with 65% of the studies being Australian-based publications. Private practice dietetics research interest has increased in the last decade. Despite a breadth of published sources, this review found little published data on workforce size, distribution, demography, supply, demand, continued professional development and remuneration, indicating a significant gap in the evidence base. Existing literature focuses on workforce challenges and barriers, the work of private practice dietitians, with limited exploration of competency requirements for graduate private practitioners.

CONCLUSIONS

The literature on the private practice dietetics workforce is lacking worldwide, which constrains evidenced-based workforce development initiatives. Workforce development research across all workforce aspects is warranted to address current evidence gaps.

Self-Care of Older Patients Affected by at Least Two Chronic Conditions Between Heart Failure, Diabetes Mellitus and Chronic Obstructive Pulmonary Disease: A Comparative Study

AIMS

This study aims to describe disease-specific self-care behaviours in patients with heart failure (HF), diabetes mellitus (DM) and chronic obstructive pulmonary disease (COPD) in various combinations; to compare these self-care behaviours within patient groups; and to evaluate differences across these groups.

DESIGN

Cross-sectional study.

METHODS

A total sample of 1079 older patients was recruited from outpatient clinics and home settings. Eligible patients were aged ≥ 65 years and had a diagnosis of HF and/or DM, and/or COPD, along with at least one additional chronic condition. Data were collected using validated tools: the Self-Care of Heart Failure Index, Self-Care of Diabetes Inventory and Self-Care of Chronic Obstructive Pulmonary Disease Inventory. Descriptive statistics were used to analyse disease-specific self-care behaviours. Group comparisons were performed using Student's t-test and univariate, followed by multivariate analyses of variance.

RESULTS

The analysis focused on a subset of 223 patients who had a combination of at least two chronic conditions between HF, DM and/or COPD. The mean age of participants was 77.3 (SD 7.5) years, with a majority being female (53.4%). Self-care maintenance, monitoring and management for HF and COPD were found to be inadequate across all patient groups. Adequate self-care was only observed in DM management among those with HF and DM and in DM maintenance for those with DM and COPD treated with insulin. Significant differences in all self-care dimensions were observed across groups, particularly in patients managing all three conditions (HF, DM and COPD).

CONCLUSIONS

The findings provide valuable insights into the complexities of self-care in patients with multiple chronic conditions, underscoring the need for tailored, integrated and patient-centred interventions. Healthcare strategies should focus on enhancing patient education and developing personalised approaches to improve health outcomes and quality of life in this population.

REPORTING METHOD

All the authors have adhered to the EQUATOR guidelines STROBE Statement.

PATIENT OR PUBLIC CONTRIBUTION

A convenience sample of patients was recruited in outpatient clinics and their homes. Data were collected between March 2017 and August 2022, by face-to-face during routine outpatient visits or directly at the patient's home.

Analyzing early childhood allergy prevention motivation of mothers of infants and its predictors using latent class analysis and structural equation modelling

BACKGROUND

Allergic diseases are among the most common chronic diseases in childhood. Early childhood allergy prevention (ECAP) behaviors of those caring for the infant during pregnancy and the first months of life may influence the risk of allergy development over the life course. Motivation and intention to use appropriate primary ECAP measures are thus of critical importance.

AIMS

To characterize parental ECAP motivation, (a) valid indicators will be developed and (b) typical parental characteristics will be identified. (c) According to socio-cognitive models, the predictive value of parental risk perception, control belief and self-efficacy for parental ECAP motivation shall be determined.

METHOD

A sample of N = 343 (expectant) mothers of infants completed a questionnaire on self-reported ECAP motivation, risk perception, control belief, and self-efficacy. The cross-sectional data were analyzed using latent class analysis and structural equation modelling including nominal regression models.

RESULTS

Four typical maternal response profiles (motivated to a customary degree, 70%; motivated to use primary preventive measures, 17.8%; reluctant towards new prevention measures, 6.4%; highly motivated to apply preventive measures in case of an existing allergy, 5.8%) could be identified for the items on ECAP motivation. After splitting the model variables "risk perception" (allergy vs. allergy-associated general health problems) and "self-efficacy" (trust vs. insecurity) a satisfactory model-fit was achieved (CFI = .939; RMSEA = .064). Particularly, increased "risk perception-allergy" (OR = 1.655) and "self-efficacy-insecurity" (OR = 2.013) as well as lower "risk perception-general health" (OR = 0.555) and "control belief" (OR = 0.217), respectively, are associated with higher ECAP motivation.

CONCLUSION

The use of ECAP-measures by parents to protect their newborns from allergies is important, but there are deficiencies in their implementation. Based on a social cognitive model approach, predictive characteristics could be identified, which are associated with increased motivation to implement ECAP-measures. For public health our findings provide a promising basis for conception of behavioral and environmental ECAP prevention measures and their motivated implementation by parents.

Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation

Background

Parkinson disease (PD) is reported to be among the most prevalent neurodegenerative diseases globally, presenting ongoing challenges and increasing burden on health care systems. In an effort to support patients with PD, their carers, and the wider health care sector to manage this incurable condition, the focus has begun to shift away from traditional treatments. One of the most contemporary treatments includes prescribing assistive technologies (ATs), which are viewed as a way to promote independent living and deliver remote care. However, the uptake of these ATs is varied, with some users not ready or willing to accept all forms of AT and others only willing to adopt low-technology solutions. Consequently, to manage both the demands on resources and the efficiency with which ATs are deployed, new approaches are needed to automatically assess or predict a user's likelihood to accept and adopt a particular AT before it is prescribed. Classification algorithms can be used to automatically consider the range of factors impacting AT adoption likelihood, thereby potentially supporting more effective AT allocation. From a computational perspective, different classification algorithms and selection criteria offer various opportunities and challenges to address this need.

Objective

This paper presents a novel hybrid multicriteria decision-making approach to support classifier selection in technology adoption processes involving patients with PD.

Methods

First, the intuitionistic fuzzy analytic hierarchy process (IF-AHP) was implemented to calculate the relative priorities of criteria and subcriteria considering experts' knowledge and uncertainty. Second, the intuitionistic fuzzy decision-making trial and evaluation laboratory (IF-DEMATEL) was applied to evaluate the cause-effect relationships among criteria/subcriteria. Finally, the combined compromise solution (CoCoSo) was used to rank the candidate classifiers based on their capability to model the technology adoption.

Results

We conducted a study involving a mobile smartphone solution to validate the proposed methodology. Structure (F5) was identified as the factor with the highest relative priority (overall weight=0.214), while adaptability (F4) (D-R=1.234) was found to be the most influencing aspect when selecting classifiers for technology adoption in patients with PD. In this case, the most appropriate algorithm for supporting technology adoption in patients with PD was the A3 - J48 decision tree (M3=2.5592). The results obtained by comparing the CoCoSo method in the proposed approach with 2 alternative methods (simple additive weighting and technique for order of preference by similarity to ideal solution) support the accuracy and applicability of the proposed methodology. It was observed that the final scores of the algorithms in each method were highly correlated (Pearson correlation coefficient >0.8).

Conclusions

The IF-AHP-IF-DEMATEL-CoCoSo approach helped to identify classification algorithms that do not just discriminate between good and bad adopters of assistive technologies within the Parkinson population but also consider technology-specific features like design, quality, and compatibility that make these classifiers easily implementable by clinicians in the health care system.

Psychometric properties of the Slovenian versions of the diabetes empowerment scale, long and short form, among the slovenian adults with type 2 diabetes

AIMS

To determine the psychometric properties of the Slovenian versions of the Diabetes Empowerment Scale (DES), both the long form (S-DES-LF) and the short form (S-DES-SF).

METHODS

Between April and September 2023, we recruited adults with type 2 diabetes (T2D) using convenient sampling in five primary health centres. We examined internal consistency, test-retest reliability, criterion validity, and discriminant validity. Confirmatory factor analysis (CFA) evaluated the fit of the one-and three-factor models for S-DES-SF and S-DES-LF, respectively.

RESULTS

The results of 288 individuals, with a mean age of 67 ± 9.2 years, including 132 men and 156 women, showed excellent internal consistency and strong test-retest reliability for both the S-DES-LF (Cronbach's α=0.90; ICC=0.95) and S-DES-SF (α=0.91; ICC=0.92). Criterion validity of the S-DES-LF was confirmed through known-groups validity, with higher education (p=0.016) and absence of comorbid hypertension (p=0.034) associated with greater empowerment. Discriminant validity was demonstrated by the lack of significant correlations between the S-DES-LF and S-DES-SF scores with age or gender. CFA confirmed a good fit for the S-DES-SF's one-factor model but not for S-DES-LF three-factor model.

CONCLUSIONS

S-DES-LF and S-DES-SF are valid and reliable tools for assessing diabetes empowerment in Slovenian people with T2D. Future research should further explore the convergent validity of scales.

Remote monitoring of rheumatoid arthritis (REMORA): study protocol for a stepped wedge cluster randomized trial and process evaluation of an integrated symptom tracking intervention

BACKGROUND

Management of rheumatoid arthritis (RA) relies on symptoms reported by patients during infrequent outpatient clinic visits. These reports are often incomplete and inaccurate due to poor recall, leading to suboptimal treatment decisions and outcomes. Asking people to track symptoms in-between visits and integrating the data into clinical pathways may improve this. However, knowledge on how to implement this into practice and its impact on services and outcomes remains scarce in RA. Therefore, we evaluate the comparative effectiveness and cost-effectiveness of integrated symptom tracking in people with RA over and above usual care, while generating insights on factors for successful implementation.

METHODS

In this superiority stepped wedge cluster-randomized controlled trial with continuous recruitment short exposure design, 16 rheumatology outpatient departments (clusters) recruit a total of 732 people with active RA. They initially offer clinic visits according to standard of care before switching in pairs to visits with integrated symptom tracking. Clusters switch in randomized order every 3 weeks. Integrated symptom tracking consists of (1) a mobile app for patients to track their symptoms daily and other RA aspects weekly/monthly, and (2) an interactive dashboard visualizing the app data, which healthcare professionals access from their electronic health record system. Clinic visits happen according to usual practice, with tracked symptom data only reviewed during visits. Our primary outcome is a difference in marginal mean disease activity score at 12 ± 3 months between standard of care and integrated symptom tracking, after accounting for baseline values, cluster, and other covariates. Secondary outcomes include patient-reported disease activity, quality of life and quality-adjusted life-years, medication/resource use, consultation and decision-making experience, self-management, and illness perception. We also conduct interviews and observations as part of a parallel process evaluation to gather information on implementation.

DISCUSSION

Our trial will generate high-quality evidence of comparative and cost-effectiveness of integrated symptom tracking compared to standard of care in people with RA, with our process evaluation delivering knowledge on successful implementation. This optimizes the chances of integrated symptom tracking being adopted more widely if we find it is (cost-) effective.

TRIAL REGISTRATION

Registered 4-Jun-2024 on https://www.isrctn.com/ , ISRCTN51539448. TRIAL OPEN SCIENCE FRAMEWORK REPOSITORY: https://osf.io/sj9ha/ .

Preferences of patients with multiple chronic diseases for medication in rural areas of an Eastern Province China: a discrete choice experiment

Background

Multiple Chronic Diseases (MCD) are the co-occurrence of two or more chronic conditions within an individual. Compared to patients with a single chronic disease, those with MCD face challenges related to polypharmacy, which increases the risk of adverse drug events, side effects, and drug-drug interactions. Understanding the specific medication preferences of patients with MCD is crucial to optimize treatment plans and enhance treatment safety.

Objective

This study aims to evaluate the medication preferences among patients with multiple chronic diseases in rural areas of an eastern province of China.

Methods

A discrete choice experiment (DCE) was used to measure patients' medication preferences. According to literature research, expert panel discussions, and in-depth patient interviews, we identified six attributes: monthly out-of-pocket cost, onset speed of action, adverse effects, whether it is covered by health insurance, origin of medications, and types of medications. The conditional logit models (CLM) and mixed logit models (MIXL) were used to evaluate the choice data. Willingness to pay (WTP) was used to reflect the monetary value that patients were willing to pay or receive reimbursement after changes in different attribute levels.

Results

A total of 956 respondents were included in the analysis. Of which, 68.62% were female, with an average age of 68 years, and 65.89% had a Body Mass Index (BMI) greater than or equal to 24. Statistical significance was observed for all attributes (p < 0.001). The preferred medication for patients encompassed low monthly out-of-pocket costs, rapid onset of action, rare adverse effects, and a preference for Western medicine, health insurance-covered medication and domestic medication. The onset speed of action was a primary consideration for patients, who demonstrated a willingness to pay an additional CNY151.37 per month for a medication with a rapid onset of action.

Conclusion

Rural patients with multiple chronic diseases preferred medications with rapid onset, rare adverse, Western medications, domestic medication, and health insurance-covered medication. Medical staff can effectively combine the Health Belief Model (HBM) to help patients with multiple chronic diseases improve their confidence and understanding of medication selection, to improve their health management.

Evaluation of health literacy level and personal factors in disease self-management of emergency department patients with chronic diseases

BACKGROUND

Effective disease management in individuals with chronic illnesses can improve their health outcomes and reduce repeated visits to emergency departments. In this study, it was aimed to investigate the factors affecting the health literacy levels and disease self-management skills of emergency department patients with chronic diseases.

METHOD

The data of the cross-sectional study was collected between July and December 2023. The study included 168 patients who applied to the emergency department of a university hospital. Data was collected using a Patient Description Form, Chronic Disease Self-Management Scale and Health Literacy Scale. Parametric and nonparametric tests, structural equation modelling and regression analysis were used to analyse the data.

RESULTS

It was demonstrated that health literacy levels of the patients were an effectual factor on chronic disease self-management skills. Chronic Disease Self-Management levels of patients are affected by marital status, whom they are living with, chronic disease duration, educational status and health perception level. Personal factors affecting the Health Literacy levels of patients are age, chronic disease duration and educational status.

CONCLUSION

Consequently, essential strategies such as patient education should be planned and implemented to support patients' health literacy and, indirectly, escalate their disease self-management skills.

Endemic Plant Rumex balcanicus: Phenolic Composition, Antioxidant Activity, Enzyme Inhibitory Potential and Molecular Docking Analysis

Although the nutritional and health benefits of Rumex species are well known, little is known about the chemical composition and pharmacological activities of Rumex balcanicus Rech. fil. (Polygonaceae), an endemic plant of the Balkan Peninsula. To the best of our knowledge, this paper represents the first attempt to comparatively analyse phenolic composition, as well as in vitro pharmacological activites of dry hydromethanol extracts of R. balcanicus fruit (RBF), leaf (RBL) and root (RBR), collected in Serbia. The maximum total phenolic content was found in RBF (386.6 mg GAE/g). The RBF was characterized by high amounts of miquelianin (28.8 mg/g) and procyanidin B1 (28.1 mg/g). The RBL was the richest in quercitrin (18.4 mg/g) and miquelianin (15.0 mg/g), while nepodin (54.1 mg/g) and procyanidin B2 (40.6 mg/g) were the major compounds in RBR. The RBF exhibited significant antioxidant activity, evaluated by DPPH (IC50=4.9 μg/mL), ABTS (IC50=0.8 μg/mL) and FRAP (5.9 mmol Fe2+/g) assays. Moreover, RBF showed strong α-glucosidase inhibitory activity (IC50=1.8 μg/mL), in addition to notable anti-α-amylase, anti-acetylcholinesterase and anti-tyrosinase activities. Molecular docking analysis predicted miquelianin and procyanidin B2 as the greatest inhibitors of these enzymes. Overall, R. balcanicus fruits stood out as the most promising plant material worth further research.

COVID-19-related morbidity and mortality in people with multiple long-term conditions: a systematic review and meta-analysis of over 4 million people

OBJECTIVES

To describe the direct impact of coronavirus disease 2019 (COVID-19) infection on morbidity and mortality in people with multiple long-term conditions (MLTCs).

DESIGN

A systematic review and meta-analysis including observational studies.

SETTING

Studies conducted between 1 January 2020 and 4 May 2023 across 51 countries were identified from five databases.

PARTICIPANTS

A total of 4,084,469 patients with confirmed COVID-19 infection.

MAIN OUTCOME MEASURES

Pooled risk ratios (RRs) for mortality, hospitalisation, severe disease, intensive care unit (ICU) admission and mechanical ventilation were estimated with random effect meta-analysis models.

RESULTS

A total of 38,356 studies were identified and 111 included. In most (74%) of the studies, MLTCs referred to having two or more long-term conditions. Others described MLTCs by high weighted indices: the Charlson Comorbidity Index in 11% and the Clinical Frailty Score in 7%. Using the National Institutes of Health quality assessment tool for observational studies, the risk of bias was judged as low and moderate in 86 and 25 studies, respectively. Having MLTCs was associated with increased mortality (RR: 2.61 [95% CI: 2.27 to 3.0]); hospitalisation (2.4 [1.92 to 2.99]); severe disease (2.61 [1.92 to 3.54]); ICU admission (1.22 [1.07 to 1.39]) and mechanical ventilation (1.83 [1.18 to 2.84]) compared with those with no MLTCs. Pooled RRs for adverse outcomes were higher in children and young people compared with all age groups. In meta-regression analyses, men were more likely to need ICU admission (p = 0.013) and mechanical ventilation (p = 0.002).

CONCLUSIONS

Public health policies, clinical and preventative interventions should prioritise people with MLTCs to minimise direct adverse outcomes from COVID-19 disease.

Ethical considerations for genetic research in low-income countries: perceptions of informed consent, data sharing, and expectations in Nicaragua

Genetic research presents numerous ethical, legal, and social implications (ELSI), particularly when the research involves collaborations between investigators in high and low-income countries. Some ELSI issues are universal, and others are specific to context and culture. This study investigates perceptions of genetic research in Nicaragua, Central America, where local and U.S. based researchers have collaborated for over a decade. A total of 43 residents from northwestern Nicaragua, a region with high mortality rates attributed to chronic kidney disease of non-traditional causes (CKDnt), were interviewed, including research participants in ongoing studies (n = 36), health professionals (n = 3), labor leaders (n = 2), and family members of research participants (n = 2). Questions focused on informed consent, data-sharing, and post-study expectations. Audio recordings of interviews conducted in Spanish were transcribed and translated into English. English transcripts were coded and analyzed using NVivo 12 software. The lack of familiarity with terms in the consent form presented a barrier to participant comprehension of key elements of the genetic research study, raising concerns about the validity of informed consent. Research participants often viewed their participation as access to health care. Health professionals emphasized the importance of long-term partnerships between foreign-based researchers and local health institutions. Leaders and family members recommended that they be informed of research studies and allowed the opportunity to consent, as they felt the benefits and risks of research also apply to them. Our findings identified genetic research practices to be improved upon in order to be more responsive to the contextual realities of collaborators living in low-resource settings.

Challenges and Coping Strategies in Transitioning From Caregiving to Widowhood: A Systematic Review

Ninety-one percent of surviving spouses in the U.S. cared for their spouses before they died. This review explores the challenges of the transition from caregiving to widowhood and different coping strategies used by widowed spousal caregivers. A systematic review of literature on the transition from caregiving to widowhood was conducted using four major academic search engines. Overall, 280 articles were identified, with 22 meeting the inclusion criteria. Challenges for widowed caregivers included experiencing care burden, letting go of the caregiver role, grief, and triggers. Widowed caregivers' coping strategies included social support and services use, filling the time gap, finding spirituality, and engaging in unhealthy behaviors. Future research is needed to determine the efficacy of widowed caregivers' coping strategies. Concerted and collaborative action by health professionals, community organizations, and policymakers is needed to develop programs and other approaches to support widowed caregivers.

In Pursuit of a Person-Centered Approach to Care Delivery: A Qualitative Descriptive Study of the Patient Experience of a Long-Term Conditions Clinic in General Practice

Innovative ways of working are emerging in health care to meet the complex needs of people living with multiple long-term conditions. While these initiatives are often measured for their health and economic outcomes, few studies prioritize the patient experience. This qualitative descriptive study is one of a few studies exploring the patient experience of attending a dedicated long-term conditions annual review clinic in a primary care setting in England. The service model aims to provide a person-centered, holistic approach to the management and support of people living with multiple long-term conditions. The study presents findings from in-depth interviews with 12 participants. Data analyzed through framework analysis revealed four themes relating to the patient experience: the clinic as a place, continuity, staying healthy, and partnership opportunities. Results highlight the challenges to providing personalized care. We found that attendance at the clinic prompted self-care behaviors, however, patients wanted a more holistic, integrated, and consistent service that provided continuity of therapeutic relationships that involved them in decision-making and care planning. We conclude that the experience of patients in this study suggests this service model can enable patients to manage their health and improve well-being, however, while a person-centered philosophy may underpin service models, our research shows that ensuring this philosophy is born out in service delivery and recognized by patients is problematic. Therefore, service providers need to recognize the values and perspectives of patients, aligning these with the design and delivery of services.

Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach

BACKGROUND

The World Health Organization (WHO) reported that cardiovascular diseases (CVDs) are the leading cause of death worldwide. CVDs are chronic, with complex progression patterns involving episodes of comorbidities and multimorbidities. When dealing with chronic diseases, physicians often adopt a "watchful waiting" strategy, and actions are postponed until information is available. Population-level transition probabilities and progression patterns can be revealed by applying time-variant stochastic modeling methods to longitudinal patient data from cohort studies. Inputs from CVD practitioners indicate that tools to generate and visualize cohort transition patterns have many impactful clinical applications. The resultant computational model can be embedded in digital decision support tools for clinicians. However, to date, no study has attempted to accomplish this for CVDs.

OBJECTIVE

This study aims to apply advanced stochastic modeling methods to uncover the transition probabilities and progression patterns from longitudinal episodic data of patient cohorts with CVD and thereafter use the computational model to build a digital clinical cohort analytics artifact demonstrating the actionability of such models.

METHODS

Our data were sourced from 9 epidemiological cohort studies by the National Heart Lung and Blood Institute and comprised chronological records of 1274 patients associated with 4839 CVD episodes across 16 years. We then used the continuous-time Markov chain method to develop our model, which offers a robust approach to time-variant transitions between disease states in chronic diseases.

RESULTS

Our study presents time-variant transition probabilities of CVD state changes, revealing patterns of CVD progression against time. We found that the transition from myocardial infarction (MI) to stroke has the fastest transition rate (mean transition time 3, SD 0 days, because only 1 patient had a MI-to-stroke transition in the dataset), and the transition from MI to angina is the slowest (mean transition time 1457, SD 1449 days). Congestive heart failure is the most probable first episode (371/840, 44.2%), followed by stroke (216/840, 25.7%). The resultant artifact is actionable as it can act as an eHealth cohort analytics tool, helping physicians gain insights into treatment and intervention strategies. Through expert panel interviews and surveys, we found 9 application use cases of our model.

CONCLUSIONS

Past research does not provide actionable cohort-level decision support tools based on a comprehensive, 10-state, continuous-time Markov chain model to unveil complex CVD progression patterns from real-world patient data and support clinical decision-making. This paper aims to address this crucial limitation. Our stochastic model-embedded artifact can help clinicians in efficient disease monitoring and intervention decisions, guided by objective data-driven insights from real patient data. Furthermore, the proposed model can unveil progression patterns of any chronic disease of interest by inputting only 3 data elements: a synthetic patient identifier, episode name, and episode time in days from a baseline date.

Living with long-term conditions: validation of a new instrument for family caregivers in a Spanish-speaking population

INTRODUCTION

Optimising the management of chronicity has been a global challenge for decades. Individuals with long-term conditions (LTCs) and their families live with them for years. Thus, it is necessary to include both of their perspectives in the management and adaptation of the interventions proposed. The psychometric properties of the living with LTCs scale from the perspective of the family caregiver are unknown. The objective of the present study is to describe the psychometric properties of the EC-PC-Fam in a Spanish-speaking population.

METHODS

An observational, cross-sectional study was performed with a retest of part of the sample. The fit of the model was optimised with a factorial analysis, and the psychometric properties were verified.

RESULTS

A sample of 311 caregivers was recruited. Most of them were women (68.2%) and had a mean age of 58.29±9.91 years (range: 32-84 years). The initial version did not obtain acceptable fit scores. To improve the fit, different versions were tested, refining the distribution of the items until optimisation was reached in V.10 (19 items). Cronbach's alpha was 0.81 for the scale as a whole. The intraclass correlation coefficient was 0.77. The EC-PC-Fam scale is strongly and inversely correlated with a scale that measures the burden of the caregiver (rs=-0.46), and moderately related to the health-related quality of life (rs=0.373) and social support (rs=0.38).

CONCLUSIONS

The EC-PC-Fam scale from a family perspective is defined as a promising tool for promoting personalised care and for optimising the management of LTCs, and a new approach that includes family caregivers is proposed for clinical practice. The scale is an instrument with a moderate fit and optimum psychometric properties to measure living with LTCs from the perspective of a family caregiver. New validation studies are recommended to verify the fit of the proposed factorial solution.

The reliability and validity of triage tools in geriatric emergency departments: A scoping review

BACKGROUND

The nurse's ability to accurately identify urgent conditions and triage this vulnerable population tends to be complex and challenging. Little is known about the reliability and validity of common triage tools in geriatric patients.

AIM

To determine the reliability and validity of triage tools in geriatric emergency care and summarize the specific content of current triage tools for geriatric patients.

METHODS

The eligible literature was searched from the MEDLINE, CINAHL, EMBASE, and Cochrane Database using targeted search strategies. We defined the objectives and questions, set standards for article inclusion criteria, and conducted literature searching and screening. The mixed methods assessment tool (MMAT) appraised the article's quality. Finally, we extracted and analyzed the data from the included articles, summarizing the results. Endnote X9 was used for data extraction and collation.

RESULTS

Nine articles were eligible. These included six triage tools: CTAS, JTAS, KTAS, MTS, SETS, and ESI. The reliability of the CTAS was good when applied to triage geriatric patients. The SETS performed well in prehospital simulated triage. The ESI has moderate to excellent reliability. The CTAS has good to excellent validity, while the JTAS, KTAS, MTS, and ESI have fair to good results.

CONCLUSION

Several triage tools are useful in geriatrics, but the reliability and validity of these tools have mixed results. Applying triage tools to triage geriatric patients still has limitations.

Designing an integrated care pathway for spondyloarthritis: A Lean Thinking approach

INTRODUCTION

Integrated care pathways (ICPs) are crucial for delivering individualised care. However, the development of ICPs is challenging and must be well designed to provide the expected benefits. Regarding this, healthcare organisations are increasingly adopting management systems based on Lean Thinking to improve their organisational processes by eliminating non-value-added steps. This study elucidates the process and evaluates the impact of applying Lean Thinking to redesign an ICP for patients with spondyloarthritis, a chronic inflammatory disease affecting young adults.

METHODS

A multidisciplinary team was assembled and trained in Lean Thinking. Patient's perspective was gathered through a focus group. Guided by an expert methodologist, the team constructed a value stream map of the entire care pathway and analysed each step. Five work streams were defined to increase value at each step, leading to targeted process improvements. Key process and outcome metrics were collected and compared in 2-month baseline and post-implementation audits.

RESULTS

A total of 118 patients were included in the baseline audit (September-October 2022), and 116 in the post-implementation audit (January-February 2023). Process redesign resulted in statistically significant improvements (p < 0.05), including a reduction in the mean number of hospital visits per patient over a 2-month period from 2.54 (SD = 0.93) to 1.84 (SD = 0.79), an increase in complementary exams scheduled on the same day (81.4% to 94.8%) and an increase in baseline disease and treatment education (from 22.2% to 84.2% and from 18.2% to 84.6%, respectively). Regarding standardisation of clinical practice, there were significant increases in collecting data for medical records on composite activity indices (76.3% to 95.7%), reporting of pharmacological treatment adherence (68.6% to 94%) and providing nonpharmacological recommendations (31.3% to 95.7%).

CONCLUSIONS

The application of Lean Thinking to redesign the spondyloarthritis ICP led to significant improvements in outpatient appointment scheduling, reduced patient hospital visits, improved interdepartmental coordination and standardised clinical practice.

Effect of health conditions and community program participation on physical activity and exercise motivation in older adults

Physical activity (PA) declines with age, with chronic health conditions a contributing factor. Exercise motivation (EM), a factor of PA adherence, may be promoted through community program participation. The purpose was to investigate the effect of health conditions and community program participation on PA and EM. Surveys comprising of demographics, physical activity (PASE), and exercise motivation (BREQ-2), were distributed. Significant differences were found for PA between community program participants with and without a health condition. A significant main effect for health condition existed on several subscales of EM: identified regulation and intrinsic regulation, and for obesity on amotivation, identified regulation, and intrinsic regulation. Significant differences existed between community exercise program participants (N = 77) and non-participants (N = 145) for amotivation (p < 0.001), identified regulation (p < 0.001), and intrinsic regulation (p < 0.001). The presence of a health condition appears to impact EM. Community program participation positively influenced EM, potentially negating the effect of health condition.

Patient-clinician interactions in shared diabetes/nephrology consultations - A qualitative observation study

BACKGROUND

The incidence of chronic disease is increasing worldwide which, in turn, increases the demand for healthcare services. To meet these demands, healthcare systems are adapting their services in order to reduce treatment costs and ensure coherence for patients with multiple diseases. One form of adaptation is shared outpatient consultations between internal medical specialties. However, little is known about how patients interact with multiple clinicians in shared consultations.

AIM

This project aimed to explore how patients with diabetes and chronic kidney disease interact with multiple clinicians in a shared outpatient setting.

RESEARCH METHODS

We performed a qualitative ethnographic study, combining focused participant observations with informal field interviews. We included 17 participants, nine males and eight females with a mean age of 67.3 in the project. The data analysis was guided by Braun and Clarke's reflexive thematic analysis and Arthur Kleinman's theory of illness and disease.

RESULTS

We found one over-arching theme: 'A consultation which encompassed both illness and disease' and four subthemes: (1) 'The medical focal point' pertained to the focus on physiological measurements in dialogue between patients and clinicians. (2) 'The possibility of negotiations' illustrated how decisions about dialysis and pharmacological treatment were based on negotiations. (3) 'Speaking different languages' displayed how patients used alternative illness-based explanations whereas clinicians tended to use biomedical language. (4) 'Perceptions of everyday life' concerned what patients considered was best for them when managing their illness and everyday lives.

CONCLUSION

Patients present information on how they balance life with physiological and psychosocial challenges. When clinicians employ a biomedical perspective, opportunities to gain information on patients' illness behaviours or cues to negotiate are missed. Patients prioritise functioning on a daily level over following treatment regimes. These findings are tenuous and require verification in similar studies in similar settings.

SHORT PHRASES

Shared Outpatient Clinic, Patient-clinician interactions.

Spatial and Temporal Patterns of Chronic Disease Burden in the U.S., 2018-2021

INTRODUCTION

Chronic diseases are primary causes of mortality and disability in the U.S. Although individual-level indices to assess the burden of multiple chronic diseases exist, there is a lack of quantitative tools at the population level. This gap hinders the understanding of the geographical distribution and impact of chronic diseases, crucial for effective public health strategies. This study aims to construct a Chronic Disease Burden Index (CDBI) for evaluating county-level disease burden, to identify geographic and temporal patterns, and investigate the association between CDBI and social vulnerability.

METHODS

A total of 20 health measures from CDC's PLACES database (2018-2021) were used to construct annual county-level CDBIs through principal component analysis. Geographic hotspots of chronic disease burden were identified using Getis-Ord Gi*. Multinomial logistic regression models and bivariate maps were used to assess the association between CDBI and CDC's social vulnerability index. Analyses were conducted in 2023-2024.

RESULTS

Counties with high chronic disease burden were predominantly clustered in the southern U.S. High persistent chronic disease burden was prevalent in Kentucky and West Virginia, while increased burden was observed in Ohio and Texas. Chronic disease burden was highly associated with social vulnerability index (ORQ5 vs Q1=7.6, 95% CI: [6.6, 8.8]), with nonmetro-urban counties experiencing elevated CDBI (OR=14.6, 95% CI: [9.7, 21.9]).

CONCLUSIONS

The CDBI offers an effective tool for assessing chronic disease burden at the population level. Identifying high-burden and vulnerable communities is a crucial first step toward facilitating resource allocation to enhance equitable healthcare access and advancing understanding of health disparities.

Adaptation of complex interventions for people with long-term conditions: a scoping review

Adaptation seeks to transfer and implement healthcare interventions developed and evaluated in one context to another. The aim of this scoping review was to understand current approaches to the adaptation of complex interventions for people with long-term conditions (LTCs) and to identify issues for studies performed in low- and middle-income countries (LMICs). Bibliographic databases were searched from 2000 to October 2022. This review involved five stages: (i) definition of the research question(s); (ii) identifying relevant studies; (iii) study selection; (iv) data charting; and (v) data synthesis. Extraction included an assessment of the: rationale for adaptation; stages and levels of adaptation; use of theoretical frameworks, and quality of reporting using a checklist based on the 2021 ADAPT guidance. Twenty-five studies were included from across 21 LTCs and a range of complex interventions. The majority (16 studies) focused on macro (national or international) level interventions. The rationale for adaptation included intervention transfer across geographical settings [high-income country (HIC) to LMIC: six studies, one HIC to another: eight studies, one LMIC to another: two studies], or transfer across socio-economic/racial groups (five studies), or transfer between different health settings within a single country (one study). Overall, studies were judged to be of moderate reporting quality (median score 23, maximum 46), and typically focused on early stages of adaptation (identification and development) with limited outcome evaluation or implementation assessment of the adapted version of the intervention. Improved reporting of the adaptation for complex interventions targeted at LTCs is needed. Development of future adaptation methods guidance needs to consider the needs and priorities of the LMIC context.

Knowledge, attitudes, and perceptions of student nurses regarding community activities in primary care: A cross-sectional study

OBJECTIVE

To ascertain student nurses' degree of knowledge, attitudes, and perceptions regarding the implementation of community activities (CA) in primary care.

DESIGN

Questionnaire-based cross-sectional study.

SAMPLE

The study was conducted with 152 students seeking a nursing degree at the University of Santiago de Compostela (North Spain) in the 2022/2023 academic year.

MEASUREMENTS

We distributed a self-administered online questionnaire on CA, which are actions undertaken in collaboration with the local community and targeted at groups of people with common needs, in order to improve the health and wellbeing of the population.

RESULTS

Only 15.1% of the sample was able to identify CA correctly. However, 93.4% considered these an effective approach for the control of chronic diseases. Special mention should be made of the positive attitude shown by students toward the implementation of these types of activities.

CONCLUSION

Nurses play a key role in preventing chronic diseases, and it is therefore necessary to ensure that they are trained in the implementation of CA aimed at reducing the incidence of such diseases. Future training plans for nurses should emphasize the community perspective in order to improve the skills of future professionals in this field and to increase the success of these interventions.

Projected number of people with multiple sclerosis in Germany between 2015 and 2040

BACKGROUND

The global prevalence of multiple sclerosis has shown a marked rise in recent decades, with Germany reporting the highest prevalence among European countries. This study aims to project the future number of people with multiple sclerosis in Germany until 2040 which is necessary for effective resource allocation and health care planning.

METHODS

Based on data from the German statutory health insurance, the age- and sex-specific prevalence of multiple sclerosis was estimated applying mathematical relations between prevalence, incidence rate, and mortality rate. Subsequently, the projected prevalence was applied to the age structure of the German population between 2015 and 2040 to calculate the future number of people with multiple sclerosis. Several temporal trend scenarios pertaining to the incidence and mortality rate were compared.

RESULTS

Application of current age-specific prevalence estimates combined with the projected population structure in 2040, results in a decline of 8% in the number of people with multiple sclerosis. More realistic scenarios that reflect on trends in mortality and incidence rates, project between 453,000 (+75%) and 477,000 (+85%) multiple sclerosis cases in 2040. It is expected that females will be affected nearly 2.5 times more frequently than males in 2040.

CONCLUSION

The findings indicate a substantial rise in the prevalence of multiple sclerosis, ranging from 75% to 85% in 2040 compared to 2015. Assuming a constant age-specific prevalence between 2015 and 2040 without any temporal trends in mortality and incidence rates may underestimate the actual number of cases and consequently, future requirements for healthcare resources.

A shared journey: evaluating a patient-assessed measure of self-management of chronic conditions in an Australian setting

Background Patient Assessment of Care in Chronic Conditions (PACIC+), included in some Australian guidelines, has been shown reliable for measuring patient engagement and perception of their care in primary care settings. Various studies have focussed on PACIC+ use in specific conditions. This study aims to expand PACIC+ to measure patient empowerment to self-manage their chronic condition and validate it in the broader Australian primary care population. This study aims to evaluate internal consistency and reliability of PACIC+ and six new supplementary items proposed to assess patient wellbeing and empowerment to self-manage their chronic condition. Methods A repeated-measures correlation design study assessed the expanded PACIC+ over three time-points. Particpants were patients with at least one chronic disease, referred by consultant physician, or recruited by advertisement posters in hospital clinic areas. Results PACIC+ (26-item) had acceptable internal consitency (Cronbach's alpha 0.96). Test-retest reliability (Time-1 and 2, P r (48)=0.43; and New supplementary items: Confidence r (48)=0.54; Understanding r (48)=0.62; Support r (48)=0.43; Overall Health r (48)=0.42; Overall Health Change r (48)=-0.31, P =0.03; and Acute Episodes of Care in 1-month r (48)=0.42, P Conclusions The expanded PACIC+ is an improved psychometric tool providing for the patient's voice in a shared health journey. It is a valid, reliable tool to monitor and measure self-management of chronic conditions in Australian population clinic and primary healthcare settings.

Clinical Work-Integrating Care in Current Practice: A Scoping Review

PURPOSE

Clinical work-integrating care (CWIC) refers to paying attention to work participation in a clinical setting. Working patients may benefit from CWIC. The purpose of this study is to explore the extent and nature to which medical specialists provide CWIC and what policies and guidelines oblige or recommend specialists to do.

METHODS

A scoping review was conducted. The databases MEDLINE, EMBASE, Psychinfo, CINAHL, and Web of Science were searched for studies on the extent and nature of CWIC and supplemented by gray literature on policies and guidelines. Six main categories were defined a priori. Applying a meta-aggregative approach, subcategories were subsequently defined using qualitative data. Next, quantitative findings were integrated into these subcategories. A separate narrative of policies and guidelines using the same main categories was constructed.

RESULTS

In total, 70 studies and 55 gray literature documents were included. The main findings per category were as follows: (1) collecting data on the occupation of patients varied widely; (2) most specialists did not routinely discuss work, but recent studies showed an increasing tendency to do so, which corresponds to recent policies and guidelines; (3) work-related advice ranged from general advice to patient-physician collaboration about work-related decisions; (4) CWIC was driven by legislation in many countries; (5) specialists sometimes collaborated in multidisciplinary teams to provide CWIC; and (6) medical guidelines regarding CWIC were generally not available.

CONCLUSION

Medical specialists provide a wide variety of CWIC ranging from assessing a patient's occupation to extensive collaboration with patients and other professionals to support work participation. Lack of medical guidelines could explain the variety of these practices.

Can pain be self-managed? Pain change in vulnerable participants to a health education programme

Chronic pain exerts a significant impact on the quality of life, giving rise to both physical and psycho-social vulnerabilities. It not only leads to direct costs associated with treatments, but also results in indirect costs due to the reduced productivity of affected individuals. Chronic conditions can be improved by reducing modifiable risk factors. Various educational programs, including the Chronic Disease Self-Management Programme (CDSMP), have demonstrated the advantages of enhancing patient empowerment and health literacy. Nevertheless, their efficacy in addressing pain symptoms has received limited attention, especially concerning vulnerable populations. This research aims to assess the effectiveness of the CDSMP in alleviating pain among socio-economically vulnerable participants with chronic conditions. By accounting for a wide range of variables, and using data from the EFFICHRONIC project (EU health programme), we investigated the changes in pain levels after the intervention, among 1070 participants from five European countries. Our analyses revealed a significant reduction in pain following the intervention. This finding supports the notion that training programs can effectively ameliorate pain and alleviate its impact on the quality of life, particularly in vulnerable populations. Younger participants, as well as those with higher education levels and individuals experiencing higher levels of pain at baseline, were more likely to experience a reduction in their pain levels. These findings underscore the importance of recognising the social determinants of health. The study was registered at ClinicalTrials.gov (ISRCTN70517103).

Capturing the care of complex community-based health center patients: A comparison of multimorbidity indices and clinical classification software

OBJECTIVE

To compare morbidity burden captured from multimorbidity indices and aggregated measures of clinically meaningful categories captured in primary care community-based health center (CBHC) patients.

DATA SOURCES AND STUDY SETTING

Electronic health records of patients seen in 2019 in OCHIN's national network of CBHCs serving patients in rural and underserved communities.

STUDY DESIGN

Age-stratified analyses comparing the most common conditions captured by the Charlson, Elixhauser, and Multimorbidity Weighted (MWI) indices, and Classification Software Refined (CCSR) and Chronic Condition Indicator (CCI) algorithms.

DATA COLLECTION/EXTRACTION METHODS

Active ICD-10 conditions on patients' problem list in 2019.

PRINCIPAL FINDINGS

Approximately 35%-56% of patients with at least one condition are not captured by the Charlson, Elixhauser, and MWI indices. When stratified by age, this range broadens to 9%-90% with higher percentages in younger patients. The CCSR and CCI reflect a broader range of acute and chronic conditions prevalent among CBHC patients.

CONCLUSION

Three commonly used indices to capture morbidity burden reflect conditions most prevalent among older adults, but do not capture those on problem lists for younger CBHC patients. An index with an expanded range of care conditions is needed to understand the complex care provided to primary care populations across the lifespan.

The Relationship of Chronic Disease Burden and Racial-Ethnic Disparities in Depression Treatment

BACKGROUND

Chronic disease and depression are closely related, and depression, if left untreated, can worsen physical disease symptoms. Furthermore, treating depression can improve patient outcomes. Generally, treatment for depression is lower in minority groups.

OBJECTIVE

The aim of this study was to determine the relationship between chronic disease burden and depression treatment and whether that relationship differs between white to non-white patient visits to primary care physicians.

DESIGN

We conducted a quantitative secondary data analysis using data from 2014-2019 National Ambulatory Medical Care Survey (NAMCS).

PARTICIPANTS

Visits by adults with depression to primary care physicians (n = 3832).

MAIN MEASURES

Logistic regressions estimated the odds of medication treatment, mental health counseling treatment, and any treatment.

KEY RESULTS

Visits by patients with 3 or more chronic conditions had 1.39 times the odds of receiving medication treatment (p-value = 0.06). However, when examining treatment by race, visits by white patients with 1-2 chronic conditions had 3.04 times the odds of receiving mental health treatment (p-value = 0.09) compared to visits by non-white patients and 2.09 times the odds of receiving any treatment (p-value = 0.08) compared to visits by non-white patients.

CONCLUSIONS

Although not significant at the p < .05 level, the results suggest that the odds of depression treatment is greater during visits by patients with multiple co-occurring chronic conditions compared to visits by people without chronic conditions. It appears that this effect is larger for visits by white patients compared to visits by non-white patients. Further research is needed to confirm these findings and determine how this association impacts minorities distinctly and what could be the reason behind the disparity. These findings could help physicians be aware of ongoing disparities in depression treatment and provide more equitable depression treatment.

A Survey of Practice and Factors Affecting Physiotherapist-Led Health Promotion for People at Risk or with Cardiovascular Disease in Cameroon

BACKGROUND

Cardiovascular diseases (CVDs) and associated risk factors are a growing concern in Cameroon. Physiotherapists (PTs) can play a crucial role in prevention and management. However, the extent of Cameroonian PT involvement in health promotion (HP) activities remains unclear. This study assessed Cameroonian physiotherapists' current HP practices for people at risk of or with CVDs (pwCVDs).

METHODS

A cross-sectional survey was administered online to PTs practising in Cameroon.

RESULTS

Out of 181 PT responses, 95% reported providing a variety of HP activities, including weight management (74%), dietary advice (73%), physical activity (69%), smoking cessation (69%), stress management (61%), and sleep promotion (48%). While PTs were confident in lifestyle assessments, they felt less confident about sleep interventions. Strong beliefs, confidence, team support, and time allocation enhanced HP practice. However, preference for passive modalities, patient adherence issues, organisational challenges, role ambiguity among healthcare providers, inadequate training opportunities, and the absence of established guidelines for CVD prevention negatively affect HP practice.

CONCLUSIONS

These findings highlight the challenges and opportunities for enhancing HP delivery within the physiotherapy profession in Cameroon. The findings are useful for future strategies by clinical practitioners and policy makers to address barriers and leverage facilitators effectively for scaling up HP initiatives in Cameroon.

Comparative Effects of Neurodynamic Slider and Tensioner Mobilization Techniques on Sympathetic Nervous System Function: A Randomized Controlled Trial

Objective: To investigate the effect of slider and tensioner neurodynamic techniques (NDTs) on the sympathetic nervous system (SNS) activity, aiming to identify which technique more effectively modulates autonomic responses in asymptomatic individuals. Materials and Methods: In this double-blind controlled trial, a total of 90 healthy participants were randomly allocated into three groups: slider, tensioner, and control. Skin conductance (SC) was continuously monitored throughout the entire 20 min experiment, while body temperature and blood pressure were measured pre- and post-intervention. Results: The SC levels significantly increased in both the slider and tensioner groups compared to the control group during the intervention and end rest period on the left leg (slider vs. control: p < 0.001, d = 1.20; tensioner vs. control: p < 0.001, d = 1.64) and on the right leg (slider vs. control: p < 0.001, d = 1.47; tensioner vs. control: p < 0.001, d = 0.73). There were no significant differences between the two NDTs on the left (p < 0.13, d = 0.89) and right legs (p < 1.00, d = 0.36). The body temperature of the slider group showed a significant increase compared to both the control group (p < 0.001, d = 0.95) and the tensioner group (p < 0.001, d = 1.48). There were no significant differences between the groups in systolic (p = 0.95) or diastolic blood pressure (p = 0.06). There were no side-specific effects on SNS activity between the left and right legs (p < 0.019) during all intervention phases. Conclusions: Significant sympathoexcitatory responses were elicited by both slider and tensioner NDTs in asymptomatic participants, demonstrating their efficacy in modulating the SNS. The differences between the two techniques were not statistically significant; however, the tensioner NDT showed a slightly more pronounced effect, suggesting that the tensioner NDT can be considered superior in terms of overall SNS effect. These findings indicate that both techniques may have the potential to enhance autonomic regulation in clinical practice; however, the tensioner NDT may be more effective. The consistent responses across participants highlight the systemic benefits of NDTs, providing a foundation for further research into their application in symptomatic populations. This study contributes to evidence-based practice by providing baseline data that support the development of theoretical frameworks and aid in clinical decision-making.

Can you be a peer if you don't share the same health or social conditions? A qualitative study on peer integration in a primary care setting

BACKGROUND

Peer support has been extensively studied in specific areas of community-based primary care such as mental health, substance use, HIV, homelessness, and Indigenous health. These programs are often built on the assumption that peers must share similar social identities or lived experiences of disease to be effective. However, it remains unclear how peers can be integrated in general primary care setting that serves people with a diversity of health conditions and social backgrounds.

METHODS

A participatory qualitative study was conducted between 2020 and 2022 to explore the feasibility, acceptability, and perceived effects of the integration of a peer support worker in a primary care setting in Montreal, Canada. A thematic analysis was performed based on semi-structured interviews (n = 18) with patients, relatives, clinicians, and a peer support worker.

FINDINGS

Findings show that peers connect with patients through sharing their own hardships and how they overcame them, rather than sharing similar health or social conditions. Peers provide social support and coaching beyond the care trajectory and link identified needs with available resources in the community, bridging the gap between health and social care. Primary care clinicians benefit from peer support work, as it helps overcome therapeutic impasses and facilitates communication of patient needs. However, integrating a peer into a primary care team can be challenging due to clinicians' understanding of the nature and limits of peer support work, financial compensation, and the absence of a formal status within healthcare system.

CONCLUSION

Our results show that to establish a relationship of trust, a peer does not need to share similar health or social conditions. Instead, they leverage their experiential knowledge, strengths, and abilities to create meaningful relationships and reliable connections that bridge the gap between health and social care. This, in turn, instills patients with hope for a better life, empowers them to take an active role in their own care, and helps them achieve life goals beyond healthcare. Finally, integrating peers in primary care contributes in overcoming obstacles to prevention and care, reduce distrust of institutions, prioritize needs, and help patients navigate the complexities of healthcare services.

Quality of life among people with mental illness attending a psychiatric outpatient clinic in Ethiopia: a structural equation model

Background

Mental illness is one of the most severe, chronic, and disabling public health problems that affects patients' Quality of life (QoL). Improving the QoL for people with mental illness is one of the most critical steps in stopping disease progression and avoiding complications of mental illness. Therefore, we aimed to assess the QoL and its determinants in patients with mental illness in outpatient clinics in Northwest Ethiopia in 2023.

Methods

A facility-based cross-sectional study was conducted among people with mental illness in an outpatient clinic in Ethiopia. The sampling interval was decided by dividing the total study participants who had a follow-up appointment during the data collection period (2400), by the total sample size 638, with the starting point selected by lottery method. The interviewer-administered WHOQOL BREF-26 tool was used to measure the quality of life (QoL) of people with mental illness. The domains of QoL were identified, and indirect and direct effects of variables were calculated using structural equation modelling with SPSS-28 and Amos-28 software. A p-value of < 0.05 and a 95% CI were used to evaluate statistical significance.

Results

A total of 636 (99.7%) participants agreed to participate and completed the data collection. The mean score of overall QoL of people with mental illness in the outpatient clinic was 49.6 ± 10 Sd. The highest QoL was found in the physical health domain (50.67 ± 9.5 Sd), and the lowest mean QoL was found in the psychological health domain (48.41 ± 10 Sd). Rural residence, drug nonadherence, suicidal ideation, not getting counselling, moderate or severe subjective severity, family does not participate in patient care and a family history of mental illness had an indirect negative effect on QoL. Alcohol use and psychological health domain had direct positive effect on QoL. Furthermore, objective severity of illness, having low self-esteem, and having history of mental illness in the family had both direct and indirect effect on QoL. Furthermore, sociodemographic factors (rural residence, illiterate educational status, not married marital status), social support-related factors (poor self-esteem, family not participating in patient care), substance use factors (alcohol use, tobacco use) and clinical factors (high objective and subjective severity of illness, not getting counselling, suicidal ideation, higher number of episodes, comorbid illness, family history of mental illness, poor drug adherence) directly and indirectly affected QoL.

Conclusions

In this study, the QoL of people with mental illness was poor, with the psychological health domain the most affected. Sociodemographic factors, social support-related factors, drug use factors, and clinical factors, directly and indirectly affected QoL through the mediator variables of physical health domains, psychological health domains, social relation health domains, and environmental health domains. In order to improve the QoL of people with mental illnesses, we recommend that emphasis be given to addressing the QoL of those with mental illness, including the development of policy and practice responses that address the above identified factors.

Frailty: a global health challenge in need of local action

Frailty is a complex, age-related clinical condition that involves multiple contributing factors and raises the risk of adverse outcomes in older people. Given global population ageing trends, the growing prevalence and incidence of frailty pose significant challenges to health and social care systems in both high-income and lower-income countries. In this review, we highlight the disproportionate representation of research on frailty screening and management from high-income countries, despite how lower-income countries are projected to have a larger share of older people aged ≥60. However, more frailty research has been emerging from lower-income countries in recent years, paving the way for more context-specific guidelines and studies that validate frailty assessment tools and evaluate frailty interventions in the population. We then present further considerations for contextualising frailty in research and practice in lower-income countries. First, the heterogeneous manifestations of frailty call for research that reflects different geographies, populations, health systems, community settings and policy priorities; this can be driven by supportive collaborative systems between high-income and lower-income countries. Second, the global narrative around frailty and ageing needs re-evaluation, given the negative connotations linked with frailty and the introduction of intrinsic capacity by the World Health Organization as a measure of functional reserves throughout the life course. Finally, the social determinants of health as possible risk factors for frailty in lower-income countries and global majority populations, and potential socioeconomic threats of frailty to national economies warrant proactive frailty screening in these populations.

Evaluating the Population-Based Usage and Benefit of Digitally Collected Patient-Reported Outcomes and Experiences in Patients With Chronic Diseases: The PROMchronic Study Protocol

BACKGROUND

Chronic diseases are associated with a high disease burden. Under- and overprovision of care as well as quality variation between health care providers persists, while current quality indicators rarely capture the patients' perspective. Capturing patient-reported outcome measures (PROMs) as well as patient-reported experience measures (PREMs) is becoming more and more important to identify gaps in care provision, prioritize services most valuable to patients, and aid patients' self-management.

OBJECTIVE

This study aims to measure the potential benefits and effectiveness of using electronic patient-reported outcome measures (ePROMs) and electronic patient-reported experience measures in a structured and population-based manner to enhance health care for chronic disease patients in Germany.

METHODS

This prospective cohort study aims to evaluate the potential benefits of PROM usage in patients with chronic diseases. We evaluate whether (1) digitally collected PROMs and PREMs can be used for health system performance assessment by generating a representative response of chronically diseased individuals with asthma, chronic obstructive pulmonary disease, diabetes, and coronary artery disease across Germany, and (2) based on the PROMs and PREMs, low-value care can be identified. As patient-reported outcomes (PROs) are rarely presented back to patients, (3) this study also examines patients' reactions to their PROM scores in the form of digital PRO feedback. For these purposes, randomly selected patients from a nationwide German insurer are digitally surveyed with generic and disease-specific PROMs and PREMs, as well as additional questions on their health-related behavior, 4 times over 1 year. Individual PRO feedback is presented back to patients longitudinally and compared to a peer group after each survey period. Patient-reported data is linked with health insurance data. Response rates, changes in health and experience outcomes over time, self-reported changes in health behavior, and health care system usage will be analyzed.

RESULTS

The PROMchronic study explores the usage of PROMs in patients with chronic diseases. Data collection began in October 2023, after the initial invitation letter. All the 200,000 potential patients have been invited to participate in the study. Data have not yet been analyzed. Publication of the interim results is planned for the autumn of 2024, and the results are planned to be published in 2025.

CONCLUSIONS

We aim to fill the research gap on the population-based usage of PROMs and PREMs in patients with chronic diseases and add to the current understanding of PROM data-sharing with patients. The study's results can thereby inform whether a health care system-wide approach to collecting PROMs and PREMs can be used to identify low-value care, assess quality variation within and across chronic conditions, and determine whether PRO feedback is helpful and associated with any changes in patients' health behaviors.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00031656; https://drks.de/search/en/trial/DRKS00031656.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/56487.

Generic and disease-specific self-care instruments in older patients affected by multiple chronic conditions: A descriptive study

AIMS

To describe and compare generic and disease-specific self-care measures in patients with multiple chronic conditions (MCCs) in the three dimensions of self-care maintenance, monitoring, and management.

DESIGN

Multicentre cross-sectional study.

METHODS

Patients aged 65 and over with MCCs. We used Self-Care of Chronic Illness Inventory to measure generic self-care, Self-care of Diabetes Inventory to measure self-care in diabetes mellitus, Self-Care of Heart Failure (HF) Index to measure self-care in HF, and Self-Care of Chronic Obstructive Pulmonary Disease Inventory to measure self-care in chronic lung diseases.

RESULTS

We recruited 896 patients. Multimorbid patients with diabetes had lower scores on the self-care maintenance scale, and diabetic patients in insulin treatment on the generic management scale than on the disease-specific instrument. Multimorbid patients with HF or chronic lung diseases scored higher on generic self-care maintenance and monitoring scales than disease-specific ones. There was a partial consistency between the generic and disease-specific self-care maintenance and management. Inadequate behaviours were recorded in disease-specific self-care monitoring rather than generic ones.

CONCLUSIONS

Older patients affected by MCCs scored differently in the generic and disease-specific instruments, showing inadequate self-care in some of the three self-care dimensions.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

The choice between generic and disease-specific instruments to use in clinical practice and research should be made considering the specific aims, settings, patients characteristics, and knowledge of the different performance of the instruments by users.

IMPACT

No study has described and compared generic and specific self-care measures in patients affected by MCCs. Knowing these differences can help nurses choose the most suitable measure for their aims, context, and patients and plan generic and disease-specific self-care educational interventions for those behaviours in which MCCs patients perform poorly.

PATIENT CONTRIBUTION

Patients were informed about the study, provided informed consent, and answered questionnaires through interviews.

Associations between socioeconomic inequalities and progression to psychological and cognitive multimorbidities after onset of a physical condition: a multicohort study

Background

Chronic physical conditions (e.g., heart diseases, diabetes) increase with population ageing, contributing to psychological and cognitive multimorbidities. Yet, little is known about socioeconomic inequalities in this process. We examined the associations between socioeconomic status (SES) and progression to psychological and cognitive multimorbidities after onset of a physical condition.

Methods

We used harmonized individual-level data from five prospective cohort studies across 24 countries in the US, Europe and Asia, with repeated morbidity measurements between 2002 and 2021. Participants with at least one new-onset physical conditions (hypertension, diabetes, heart diseases, stroke, chronic lung diseases, cancer, or arthritis) were followed up for progression to physical-psychological multimorbidity, physical-cognitive multimorbidity, and physical-psychological-cognitive multimorbidity. SES was determined based on educational level and total household wealth at the onset of a physical condition. Time to and incidence rates of progressing psychological and cognitive multimorbidities were estimated in analyses stratified by SES. Fine-Gray subdistribution hazard models and multi-state models were used to estimate the associations between SES and progression to psychological and cognitive multimorbidities.

Findings

Among 20,250 participants aged ≥45 years (mean age at a physical condition onset 65.38 years, standard deviation 8.37) with at least one new-onset physical conditions in the analysis, 7928 (39.2%) progressed to psychological and cognitive multimorbidities during a median follow-up of 8.0 years (168,575 person-years). The mean survival time free from physical-psychological-cognitive multimorbidity was 11.96 years (95% confidence interval 11.57-12.34) in low SES individuals, compared to 15.52 years (15.40-15.63) in high SES individuals, with the corresponding incidence rate of 18.44 (16.32-20.82) and 3.15 (2.48-4.01) per 1000 person-years, respectively. The associations of education, household wealth and SES with multimorbidities followed a dose-dependent relation, with subdistribution hazard ratios per decreasing SES category being 1.24 (1.19-1.29) for physical-psychological multimorbidity, 1.47 (1.40-1.54) for physical-cognitive multimorbidity, and 1.84 (1.72-1.97) for physical-psychological-cognitive multimorbidity. The strongest SES-multimorbidities associations were observed in participants with arthritis, hypertension or diabetes. In multi-state models SES was linked to all five transitions from physical condition to physical-psychological multimorbidity, physical-cognitive multimorbidity and physical-psychological-cognitive multimorbidity.

Interpretation

Socioeconomic inequalities are associated with the progression of a chronic physical condition, with the lower SES groups had both an earlier time to and a higher incidence of psychological and cognitive multimorbidities. These findings underscore the need for more effective equity-oriented policies and healthcare practices to address reduced psychological wellness and cognitive maintenance among individuals with low SES and physical conditions.

Funding

Zhejiang University Hundred Talents Program Research Initiation Fund, Fundamental Research Funds for the Central Universities in China, Wellcome Trust, Medical Research Council, National Institute on Aging, Academy of Finland.

Disease Trajectories from Healthcare Data: Methodologies, Key Results, and Future Perspectives

Disease trajectories, defined as sequential, directional disease associations, have become an intense research field driven by the availability of electronic population-wide healthcare data and sufficient computational power. Here, we provide an overview of disease trajectory studies with a focus on European work, including ontologies used as well as computational methodologies for the construction of disease trajectories. We also discuss different applications of disease trajectories from descriptive risk identification to disease progression, patient stratification, and personalized predictions using machine learning. We describe challenges and opportunities in the area that eventually will benefit from initiatives such as the European Health Data Space, which, with time, will make it possible to analyze data from cohorts comprising hundreds of millions of patients.

Exercise prescription for the prevention and treatment of chronic diseases in primary care: Protocol of the RedExAP study

BACKGROUND

Existing evidence supports the effectiveness of exercise in preventing and treating chronic diseases, yet its integration into clinical practice remains limited. This study protocol aims to address the evidence-practice gap by exploring barriers to exercise prescription in primary care and developing a clinical practice guideline (CPG).

METHODS

Employing a qualitative approach, focus groups will be conducted to investigate primary care professionals' challenges in prescribing exercise and patients' adherence to recommendations. Phenomenological analysis will facilitate data interpretation. Data triangulation, expert analysis, and quality criteria will ensure study reliability. The CPG development process is outlined, emphasizing transdisciplinary collaboration and patient involvement.

CONCLUSION

The RedExAP study responds to the imperative for evidence-based exercise integration in primary care. The study's combined qualitative exploration and CPG development present the potential to improve health outcomes and cost-effectiveness. By elucidating primary care professionals' and patients' perspectives, the study contributes to enhancing exercise prescription adoption. The innovative transdisciplinary approach aligns with the 2030 Agenda, promoting better population health and greater social well-being, showing promise in alleviating chronic disease burdens. This study's findings lay the groundwork for advancing evidence-based exercise interventions within primary care to transform chronic disease management.

A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours

The aim of this meta-meta-analysis was to systematically review randomised controlled trial (RCT) evidence examining the effectiveness of e- and m-Health interventions designed to improve physical activity, sedentary behaviour, healthy eating and sleep. Nine electronic databases were searched for eligible studies published from inception to 1 June 2023. Systematic reviews with meta-analyses of RCTs that evaluate e- and m-Health interventions designed to improve physical activity, sedentary behaviour, sleep and healthy eating in any adult population were included. Forty-seven meta-analyses were included, comprising of 507 RCTs and 206,873 participants. Interventions involved mobile apps, web-based and SMS interventions, with 14 focused on physical activity, 3 for diet, 4 for sleep and 26 evaluating multiple behaviours. Meta-meta-analyses showed that e- and m-Health interventions resulted in improvements in steps/day (mean difference, MD = 1329 [95% CI = 593.9, 2065.7] steps/day), moderate-to-vigorous physical activity (MD = 55.1 [95% CI = 13.8, 96.4] min/week), total physical activity (MD = 44.8 [95% CI = 21.6, 67.9] min/week), sedentary behaviour (MD = -426.3 [95% CI = -850.2, -2.3] min/week), fruit and vegetable consumption (MD = 0.57 [95% CI = 0.11, 1.02] servings/day), energy intake (MD = -102.9 kcals/day), saturated fat consumption (MD = -5.5 grams/day), and bodyweight (MD = -1.89 [95% CI = -2.42, -1.36] kg). Analyses based on standardised mean differences (SMD) showed improvements in sleep quality (SMD = 0.56, 95% CI = 0.40, 0.72) and insomnia severity (SMD = -0.90, 95% CI = -1.14, -0.65). Most subgroup analyses were not significant, suggesting that a variety of e- and m-Health interventions are effective across diverse age and health populations. These interventions offer scalable and accessible approaches to help individuals adopt and sustain healthier behaviours, with implications for broader public health and healthcare challenges.

Patients and healthcare workers' preferences for using smart lockers in accessing and dispensing chronic disease medication in Nigeria: Findings from a descriptive cross-sectional study

The use of smart locker technology has been beneficial for patients with chronic diseases who require regular medication and face challenges accessing healthcare facilities due to distance, time, or mobility issues. This study aimed to assess preferences for utilizing Smart Lockers in accessing and dispensing chronic disease medication among healthcare workers (HCWs) and patients in Nigeria. A descriptive cross-sectional survey was conducted between November 8th and December 4th, 2021, across secondary healthcare facilities in five states of Adamawa, Akwa Ibom, Cross River, Benue, and Niger. Among 1,133 participants included in the analysis, 405 were HCWs and 728 were patients with chronic illnesses. Descriptive statistics, including frequencies and percentages, were used to summarize the data, while chi-square tests were employed to assess significant differences between healthcare workers (HCWs) and patients. Results indicated a strong preference among both HCWs and patients for one-on-one counseling as the preferred method for orientating patients on using Smart Lockers, with 53.8% of HCWs and 58.1% of patients expressing this preference (p = 0.25). Additionally, there was a shared preference for hospitals or clinics as secure locations for Smart Lockers, with 68.9% of HCWs and 71.6% of patients preferring this option (p < 0.05). The majority of participants favored receiving notification of drug delivery via phone call, with 49.1% of HCWs and 48.8% of patients expressing this preference (p = 0.63). There was a significant difference in preferences for access hours, the majority (HCWs: 65.4% and patients: 52.6%) favored 24-hour access (p < 0.05). Participants identified patients with HIV within the age range of 18-40 as the most suitable population to benefit from using Smart Lockers for medication dispensing. These findings offer insights into healthcare policies aimed at enhancing medication access and adherence among patients with chronic diseases in Nigeria. The development of models for using smart lockers to dispense chronic disease medications to chronically ill persons in Nigeria and other populations is recommended.

Impact of age and gender differences in the prevalence and patterns of multimorbidity in the Thai Cohort Study

BACKGROUND

The study aims to identify the common patterns of multimorbidity and their distribution by age and gender.

METHOD

This cross-sectional study collected self-reported data from 42 785 Thai Cohort Study members through mailed questionnaires. Employing prevalence-based analysis, it identified common multimorbidity (coexistence of two or more chronic conditions) patterns, analysing the three most common patterns stratified by age and sex. P for trend (p-trend) was used to test the linear trend for associations between age and prevalence of these chronic conditions in the multimorbidity patterns.

RESULTS

Chronic conditions with the highest prevalence were related to metabolic syndromes: obesity (28.5%), hyperlipidaemia (13.2%) and hypertension (7.2%). A positive linear age-multimorbidity association was observed (p-trend = 0.0111). The 60+ participants averaged 1.20 diseases, with 33.7% multimorbidity prevalence. Hyperlipidaemia + obesity was most prevalent in the under-40 multimorbid group (38.7%). Men exhibited a higher prevalence of multimorbidity and associated patterns involving hypertension, hyperlipidaemia and obesity than women.

CONCLUSION

Metabolic syndrome components were the prominent factors driving multimorbidity. Significant age and gender differences were also revealed in multimorbidity prevalence. People aged 60+ faced high risk of multimorbidity, while younger individuals tended towards the multimorbidity pattern of obesity and hyperlipidaemia. Men were more susceptible to multimorbidity patterns associated with metabolic syndromes. Future studies for metabolic-related multimorbidity should consider these differences, addressing age and gender issues.

Twenty-year trajectories of morbidity in individuals with and without osteoarthritis

OBJECTIVES

To identify multimorbidity trajectories over 20 years among incident osteoarthritis (OA) individuals and OA-free matched references.

METHODS

Cohort study using prospectively collected healthcare data from the Skåne region, Sweden (~1.4 million residents). We extracted diagnoses for OA and 67 common chronic conditions. We included individuals aged 40+ years on 31 December 2007, with incident OA between 2008 and 2009. We selected references without OA, matched on birth year, sex, and year of death or moving outside the region. We employed group-based trajectory modelling to capture morbidity count trajectories from 1998 to 2019. Individuals without any comorbidity were included as a reference group but were not included in the model.

RESULTS

We identified 9846 OA cases (mean age: 65.9 (SD 11.7), female: 58%) and 9846 matched references. Among both cases and references, 1296 individuals did not develop chronic conditions (no-chronic-condition class). We identified four classes. At the study outset, all classes exhibited a low average number of chronic conditions (≤1). Class 1 had the slowest progression towards multimorbidity, which increased progressively in each class. Class 1 had the lowest count of chronic conditions at the end of the follow-up (mean: 2.9 (SD 1.7)), while class 4 had the highest (9.6 (2.6)). The presence of OA was associated with a 1.29 (1.12, 1.48) adjusted relative risk of belonging to class 1 up to 2.45 (2.12, 2.83) for class 4.

CONCLUSIONS

Our findings suggest that individuals with OA face an almost threefold higher risk of developing severe multimorbidity.

Potentially Inappropriate Use of Medication and Its Determinants Among Ambulatory Older Adults in Six Community Chain Pharmacies in Asmara, Eritrea: A Cross-Sectional Study Using the 2023 American Geriatric Society Beers Criteria®

Background

Potentially inappropriate medication (PIM) use is one of the main drug-related problems encountered in older adults. It is associated with adverse drug events, morbidity, mortality, increased economic costs, and negative effects on the quality of life that requires strict monitoring of prescriptions in older adults. Thus, the study aimed to assess potentially inappropriate medication use and its determinants among older adults.

Methods

A cross-sectional study was conducted among all outpatient prescriptions dispensed to older adults (aged 65 years and above) in six community chain pharmacies in Asmara, Eritrea. Data were collected retrospectively, between June 16 and July 16, 2023. PIMs were detected using the 2023 American Geriatric Society (AGS) Beers Criteria®. Descriptive statistics and logistic regression analysis were performed using IBM SPSS® (Version-26.0).

Results

A total of 2680 outpatient prescriptions dispensed to older adults were included in this study. The prevalence of PIM among prescriptions was 18.1% (95% CI: 16.7, 19.6). Moreover, a total of 470 medications were found to be avoided in older adults. The most commonly prescribed PIMs were sulfonylureas (27.2%) and substituted alkylamines (16.2%). The prevalence of prescriptions containing medications to be used with caution in older adults was 13.2% (95% CI: 12.0, 14.5). Age (Adjusted Odds Ratio (AOR))=0.98, 95% CI: 0.97, 0.99), polypharmacy (AOR=2.77, 95% CI: 1.49, 5.15), and general practitioner prescriber (AOR=1.38, 95% CI: 1.11, 1.70) were significantly associated with PIMs.

Conclusion

A considerable number of ambulatory older adults were exposed to PIMs which require a close attention by policymakers, program managers, and healthcare professionals.