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Background The spread of COVID-19 has affected people’s daily lives, and the lockdown may have led to a disruption of daily activities and a decrease of people’s mental health. Aim To identify correlates of adults’ mental health during the COVID-19 lockdown in Belgium and to assess the role of meaningful activities in particular. Methods A cross-sectional web survey for assessing mental health (General Health Questionnaire), resilience (Connor-Davidson Resilience Scale), meaning in activities (Engagement in Meaningful Activities Survey), and demographics was conducted during the first Belgian lockdown between April 24 and May 4, 2020. The lockdown consisted of closing schools, non-essential shops, and recreational settings, employees worked from home or were technically unemployed, and it was forbidden to undertake social activities. Every adult who had access to the internet and lived in Belgium could participate in the survey; respondents were recruited online through social media and e-mails. Hierarchical linear regression was used to identify key correlates. Results Participants ( N  = 1781) reported low mental health (M = 14.85/36). In total, 42.4% of the variance in mental health could be explained by variables such as gender, having children, living space, marital status, health condition, and resilience (β = −.33). Loss of meaningful activities was strongly related to mental health (β = −.36) and explained 9% incremental variance (R 2 change = .092, p  < .001) above control variables. Conclusions The extent of performing meaningful activities during the COVID-19 lockdown in Belgium was positively related to adults’ mental health. Insights from this study can be taken into account during future lockdown measures in case of pandemics.

Over the past decades, there has been a paradigm shift from a purely biomedical towards a bio-psycho-social (BPS) conception of disability and illness, which has led to a change in contemporary healthcare. However, there seems to be a gap between the rhetoric and reality of working within a BPS model. It is not clear whether healthcare professionals show the necessary skills and competencies to act according to the BPS model. The aim of this study was (1) to develop a scale to monitor the BPS competencies of healthcare professionals, (2) to define its factor-structure, (3) to check internal consistency, (4) test-retest reliability and (5) feasibility. Item derivation for the BPS scale was based on qualitative research with seven multidisciplinary focus groups (n = 58) of both patients and professionals. In a cross-sectional study design, 368 healthcare professionals completed the BPS scale through a digital platform. An exploratory factor analysis was performed to determine underlying dimensions. Statistical coherence was expressed in item-total correlations and in Cronbach's α coefficient. An intra-class-correlation coefficient was used to rate the test-retest reliability. The qualitative study revealed 45 items. The exploratory factor analysis showed five underlying dimensions labelled as: (1) networking, (2) using the expertise of the client, (3) assessment and reporting, (4) professional knowledge and skills and (5) using the environment. The results show a good to strong homogeneity (item-total ranged from 0.59 to 0.79) and a strong internal consistency (Cronbach's α ranged from 0.75 to 0.82). ICC ranged between 0.82 and 0.93. The BPS scale appeared to be a valid and reliable measure to rate the BPS competencies of the healthcare professionals and offers opportunities for an improvement in the healthcare delivery. Further research is necessary to test the construct validity and to detect whether the scale is responsive and able to detect changes over time.

Aim(s) To conceptualise and identify characteristics of clinical leadership in the nursing home setting. Design A qualitative study using semi‐structured focus group interviews and a thematic analysis. Methods Five semi‐structured focus group interviews were conducted with 41 healthcare professionals from nursing and other healthcare disciplines working in nursing homes (such as nurse assistants, licensed practical nurses, registered nurses (RNs), occupational therapists, recreational therapists, psychologists and gerontologists). Qualitative thematic content analysis of the gathered data was done. Results Clinical leaders in nursing homes can be defined as passionate healthcare professionals providing person‐centred care with strong communication skills. They are clinical experts in their field and motivated to engage in lifelong learning. They are team players with informal leadership skills. They are visionary, committed, resilient and responsive. Awareness of the definition and the main characteristics of clinical leadership is necessary to facilitate the identification, support and development of healthcare professionals. Focussing on the development of competencies, training courses and monitoring and assessment methods is necessary to improve the evidence of clinical leadership in nursing homes.

ObjectivesSelf-management is a concept frequently used within healthcare but lacks consensus. It is the aim of this study to clarify the concept.DesignConcept analysis according to Walker and Avant, comprises eight steps: select concept, determine purpose, identify uses, determine defining attributes, identify model case, identify additional cases, identify antecedents and consequences and define empirical referents. Sources used: PubMed, Scopus and Web of Science.ResultsTen attributes delineating the concept have been identified and organised into three groups. Group (a): person-oriented attributes: the person must (1) actively take part in the care process, (2) take responsibility for the care process and (3) have a positive way of coping with adversity. Group (b): person-environment-oriented attributes: (4) the person must be informed about the condition, disease and treatment and self-management, (5) should be individualised, which entails expressing needs, values and priorities, (6) requires openness to ensure a reciprocal partnership with healthcare providers and (7) demands openness to social support. Finally, Group (c): summarising attributes: self-management (8) is a lifetime task, (9) assumes personal skills and (10) encompasses the medical, role and emotional management.ConclusionsThe findings of this study recognise the complexity of the concept, but also show the need for further investigation to make the concept more measurable. Clarity about the concept will enhance understanding and facilitate implementation in self-management programmes for chronic conditions.

Assessment of activities of daily living (ADL) is paramount to determine impairment in everyday functioning and to ensure accurate early diagnosis of neurocognitive disorders. Unfortunately, most common ADL tools are limited in their use in a diagnostic process. This study developed a new evaluation by adopting the items of the Katz Index (basic [b-] ADL) and Lawton Scale (instrumental [i-] ADL), defining them with the terminology of the International Classification of Human Functioning, Disability and Health (ICF), adding the scoring system of the ICF, and adding the possibility to identify underlying causes of limitations in ADL. The construct validity, interrater reliability, and discriminative validity of this new evaluation were determined. From 2015 until 2016, older persons (65-93 y) with normal cognitive ageing (healthy comparison [HC]) (n = 79), mild cognitive impairment (MCI) (n = 73), and Alzheimer disease (AD) (n = 71) underwent a diagnostic procedure for neurocognitive disorders at the geriatric day hospital of the Universitair Ziekenhuis Brussel (Brussels, Belgium). Additionally, the ICF-based evaluation for b- and i-ADL was carried out. A global disability index (DI), a cognitive DI (CDI), and a physical DI (PDI) were calculated. The i-ADL-CDI showed high accuracy and higher discriminative power than the Lawton Scale in differentiating HC and MCI (area under the curve [AUC] = 0.895, 95% CI .840-.950, p = .002), MCI and AD (AUC = 0.805, 95% CI .805-.734, p = .010), and HC and AD (AUC = 0.990, 95% CI .978-1.000, p < .001). The b-ADL-DI showed significantly better discriminative accuracy than the Katz Index in differentiating HC and AD (AUC = 0.828, 95% CI .759-.897, p = .039). This study was conducted in a clinically relevant sample. However, heterogeneity between HC, MCI, and AD and the use of different methods of reporting ADL might limit this study. This evaluation of b- and i-ADL can contribute to the diagnostic differentiation between cognitively healthy ageing and neurocognitive disorders in older age. This evaluation provides more clarity and nuance in assessing everyday functioning by using an ICF-based terminology and scoring system. Also, the possibility to take underlying causes of limitations into account seems to be valuable since it is crucial to determine the extent to which cognitive decline is responsible for functional impairment in diagnosing neurocognitive disorders. Though further prospective validation is still required, the i-ADL-CDI might be useful in clinical practice since it identifies impairment in i-ADL exclusively because of cognitive limitations.

The healthcare system is faced by an ageing population, increase in chronic conditions and multimorbidity. Multimorbid patients are faced with multiple parallel care processes leading to a risk of fragmented care. These problems relate to the disease-oriented paradigm. In this paradigm the treatment goals can be in contrast with what patients value. The concept of goal-oriented care is proposed as an alternative way of providing care as meeting patients' goals could have potential benefits. Though, there is a need to translate this concept into tangible knowledge so providers can better understand and use the concept in clinical practice. The aim of this study is to address this need by means of a concept analysis. This concept analysis using the method of Walker and Avant is based on a literature search in PubMed, Embase, Cochrane Library, PsychInfo, CINAHL, OTSeeker and Web of Science. The method provides eight iterative steps: select a concept, determine purpose, determine defining attributes, identify model case, identify additional case, identify antecedents and consequences and define empirical referents. The analysis of 37 articles revealed that goal-oriented care is a dynamic and iterative process of three stages: goal-elicitation, goal-setting, and goal-evaluation. The process is underpinned by the patient's context and values. Provider and patient preparedness are required to provide goal-oriented care. Goal-oriented care has the potential to improve patients' experiences and providers' well-being, to reduce costs, and improve the overall population health. The challenge is to identify empirical referents to evaluate the process of goal-oriented care. A common understanding of goal-oriented care is presented. Further research should focus on how and what goals are set by the patient, how this knowledge could be translated into a tangible workflow and should support the development of a strategy to evaluate the goal-oriented process of care.

Background Nursing homes face a critical need for competent healthcare professionals to deliver high-quality care. Focusing on clinical leadership is crucial for equipping healthcare professionals with the skills necessary to manage complex care needs, collaborate effectively within multidisciplinary teams, and improve care quality in nursing homes. Developing clinical leadership fosters professional growth and enhances healthcare professionals’ ability to tackle the challenges unique to the nursing home environment. However, the concept of clinical leadership in nursing homes remains poorly defined and investigated. This study aimed to explore and define influencing factors for the development of clinical leadership within healthcare professionals in nursing homes. Methods A qualitative study was conducted in Flanders, Belgium, using semi-structured focus group interviews ( n  = 5) with healthcare professionals ( n  = 41), including nurse assistants, licensed practical nurses, registered nurses, occupational therapists, recreational therapists, psychologists, and gerontologists. Interviews were audio-taped, transcribed, analysed and interpretated by using a thematic analysis based on descriptive phenomenology. Results Clinical leadership development within healthcare professionals’ hinges on four pivotal themes: (1) Cultivating an empowering working environment that fosters open feedback, encourages peer learning, and champions a stimulating learning climate. (2) Nurturing a supportive leadership style in formal leaders that exemplifies role modeling, accessibility, and a coaching approach. (3) Elevating well-developed professional identity through targeted training, experience, and a talent-oriented work approach. (4) Fostering team dynamics marked by commitment, collaboration, support, and trust. Conclusions The study’s findings on the influencing factors for clinical leadership development should be actively applied in nursing homes and guide the creation of targeted training programs and leadership development initiatives. Awareness of these factors are crucial to optimise and to support the development and implementation of clinical leadership in nursing homes in an attempt to reduce the workforce shortages.

Background Finding a strategy to reduce the impact of cognitive decline on everyday functioning in persons suffering from cognitive impairment is a public health priority. Instrumental activities of daily living (IADL) are key to everyday functioning. Hence, it is essential to understand the influencing factors on IADL to develop specific interventions to improve everyday functioning in persons with mild cognitive disorder. Therefore, this study aimed to 1) explore different influencing factors on IADL functioning considering all domains of the International Classification of Functioning, disability, and health and 2) rank these factors. Methods We performed a secondary analysis of a cohort including participants with amnestic mild cognitive impairment (a-MCI) or mild Alzheimer’s Dementia (mild AD). The IADL functioning model was used as a starting point to estimate the effects of cognitive and physical function factors and personal and environmental factors on IADL functioning using multiple linear regression analysis, including subgroup analysis in persons with a-MCI. We used standardized coefficient estimates to relate the size of the predictor effects in the final model. Results We included 105 participants (64 a-MCI, 41 mild AD); the mean age was 81.9 years (SD 4.9), with 70% females. Based on a multi-step approach and model fit, the final model included IADL functioning as the response variable and memory, attention, executive function, vision and hearing, mobility, balance, education, and social support as predictors. The final model explained 75% of the variability. The significant predictors in the model were mobility, balance, attention, and education, and were the predictors with the most considerable effects based on standardized coefficient estimates. The subgroup analysis, including only a-MCI participants, revealed a similar pattern. Conclusion Our results confirm that IADL functioning in people with mild cognitive disorder is influenced by cognitive and physical function and personal factors. The study provides further insight into understanding IADL functioning impairments in persons with mild impaired cognition and may be used to develop specific non-pharmacological interventions.

Background Recruiting frail older adults is challenging, resulting in underpowered trials, wasted resources, and unexpected costs. Researchers rarely report transparently and comprehensively on recruitment. However, sharing recruitment experiences could improve future efforts. This study tracks recruitment efforts and assesses their impact on recruitment outcomes in the ACTIVE-AGE@home trial to develop effective strategies for engaging community-dwelling frail older adults in long-term trials.  Methods A mixed-method study assessed recruitment partner contacts and their respective influence on recruitment outcomes at three levels: macro-, meso-, and micro-level contacts. Quantitative data were used to measure strategy efficiency. Qualitative data consisted of field notes, personal annotations recorded by the researchers during 15 months recruitment for ACTIVE-AGE@home. These notes were analyzed thematically following Braun and Clarke’s approach: deductively, guided by the TIBaR model for recruiting hard-to-reach older adults (emphasizing building Trust, offering Incentives, identifying Barriers, and being Responsive), and inductively to explore themes related to prolonged engagement, adherence and maintenance.  Results Over 15 months, 49 macro-level, 112 meso-level, and 1001 micro-level recruitment partners were contacted. Of these, 30 meso-level and 44 micro-level partners referred frail older adults. Micro-level referrals yielded the greatest number of eligible participants, with 6 (meso-level) and 23 ( micro-level) included. The study introduced the “BRIDGe recruitment model” with the following themes: (1) being appealing (2), fostering reciprocal relationships (3), understanding the recruitment partner and target group identity, and (4) gear trial requirements. The BRIDGe model serves as a reflective tool to balance recruitment and identity needs with trial requirements.  Conclusions Micro-level recruitment strategies are crucial for reaching frail older adults through warm referrals and personal contact. A bottom-up approach targeting local healthcare and welfare workers is recommended, with macro- and meso-level contacts supporting these connections. Rigid study designs hinder recruitment and translating research into practice requires flexible methods. Therefore, balancing rigor and feasibility is essential when designing context-specific studies. By transparently sharing recruitment successes and challenges, we aim to build collective knowledge to overcome recruitment barriers for frail older adults in intervention trials. Trial registration The ACTIVEAGE@home trial was registered on ClinicalTrials.gov on July 6, 2023, and published July 14, 2023. Trial registration NCT05946109.

Between 2020 and 2050, the world’s population aged 80 years and over will triple, drastically increasing the prevalence of frailty and associated healthcare costs. Multimodal exercise programmes have proven to be an ideal countermeasure for frailty, but the current Flemish standard of care does not include them. The purpose of this study is to investigate the effect of the home-based exercise programme for frail community-dwelling older adults (>70 years), ACTIVE-AGE@home, on frailty-associated outcomes, when delivered by professionals or volunteers, as well as its cost-effectiveness. A pragmatic randomised controlled trial will be conducted. Participants will be randomised into three parallel groups using permuted block randomisation. There will be two intervention groups: in one group, the intervention is delivered by professionals with a bachelor or masters’ degree in physiotherapy, occupational therapy and/or physical education, and in the other by trained volunteers. Both groups will be compared with a control group receiving usual care. Participants (n=195) are community-dwelling physically frail older adults (>70 years), as defined by Fried et al. (2001). The intervention is a 24 week programme that consists of three 1 hour visits per week and contains aerobic, strength, balance, flexibility, coordination and dual tasking exercises, accompanied by goal-setting and motivational interviewing. The Timed Chair Stand (TCS) test is the primary outcome. Functional ability, cognition, loneliness, self-management, health-related quality of life, healthcare utilisation and meaningful activities will be measured in all groups at 0, 24 and 48 weeks. Time and expenses invested by professionals or volunteers will be kept in diaries for trial and model-based cost-effectiveness analyses, expressed in incremental cost per QALY (quality-adjusted life year). The model will be designed to associate the frailty at the end of follow-up with further expected healthcare expenses beyond the duration of the trial. Statistical analysis will be blinded to group allocation, and outcome assessors will be blinded to the maximal extent possible.Ethics and disseminationEthics approval has been obtained from the Medical Ethics Committee of UZ Brussel (O.G. 016), Peer reflection group Biomedical Ethics, Laarbeeklaan 101, 1090 Brussels. Results will be disseminated in publications and other relevant platforms. This study was registered at Clinicaltrials.gov on 6 July 2023 and posted on 14 July 2023 after National Library of Medicine quality control review. Registration details: NCT05946109Trial registration numberNCT05946109.