11 research outputs found

    Additional file 3: Table S3. of Primary care characteristics and their association with health screening in a low-socioeconomic status public rental-flat population in Singapore- a mixed methods study

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    Representative quotes from patients staying in a public rental flat neighborhood on barriers to cardiovascular screening, organized by frequently mentioned content areas and themes. (DOCX 18 kb

    Additional file 2: Table S2. of Primary care characteristics and their association with health screening in a low-socioeconomic status public rental-flat population in Singapore- a mixed methods study

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    Representative quotes from patients staying in a public rental flat neighborhood on barriers to cancer screening, organized by frequently mentioned content areas and themes. (DOCX 18 kb

    Therapists’ perspectives on adapting the Stepping On falls prevention programme for community-dwelling stroke survivors in Singapore

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    <p><b>Purpose:</b> This study investigates the perspectives of rehabilitation therapists on the implementation of fall prevention programmes with community-dwelling stroke survivors in the Singapore context, and elicits recommendations to adapt the Stepping On programme with stroke survivors.</p> <p><b>Method:</b> Qualitative data were elicited during 4 focus groups with 23 rehabilitation therapists (15 occupational therapists [OTs]; 8 physiotherapists [PTs]) who had received training to deliver the original Stepping On programme, and had experienced delivery of fall-prevention intervention programmes locally. Collected data were analysed using thematic analysis method.</p> <p><b>Results:</b> Three themes emerged from the focus groups describing: (a) limitations of existing falls prevention intervention for stroke clients; (b) the need to adapt the Stepping On programme to use with stroke clients; and (c) challenges in implementing fall prevention programmes in the stroke context. A series of new components were suggested to be included as part of the Stepping On after stroke (SOAS) programme, including involvement of family members and caregivers, and tailored community reintegration sessions (such as taking public transport and shopping).</p> <p><b>Conclusions:</b> Rehabilitation therapists describe challenges in addressing fall prevention within a stroke context, and findings highlight the need for a structured, stroke-specific fall prevention programme rather than a more general approach to education and training. Contextual components identified provide valuable inputs towards the development of a culturally relevant fall prevention programme for stroke survivors in Singapore.Implications for Rehabilitation</p><p>Stroke survivors living in the community are at a high risk of falls.</p><p>A structured and culturally relevant fall prevention programme for community-living stroke survivors is needed.</p><p>Falls prevention for community-living stroke survivors should be multi-dimensional and targeting the modifiable risk factors for falls in this group.</p><p>Both stroke survivors and caregivers should be involved in any fall prevention after stroke programmes.</p><p></p> <p>Stroke survivors living in the community are at a high risk of falls.</p> <p>A structured and culturally relevant fall prevention programme for community-living stroke survivors is needed.</p> <p>Falls prevention for community-living stroke survivors should be multi-dimensional and targeting the modifiable risk factors for falls in this group.</p> <p>Both stroke survivors and caregivers should be involved in any fall prevention after stroke programmes.</p

    Additional file 2: Figure S1. of Using peer review to distribute group work marks equitably between medical students

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    Each page represents one student, whose names have been replaced by Roman or Greek capitals. The index student referred in each page is indicated by the down arrow (↓) on the top row of letters. The upper chart indicates the marks the index student gave to each peer (black or colored circles), together with the average points awarded to that peer (grey bars). The lower chart indicates the marks each peer gives the index student (circles) and the average mark the index student received. Note: these marks are the raw marks prior to scaling. If any mark is more than 1.5 marks away from average, this is indicated by coloring the circle (orange for less, red for much [2.5] less, light blue for more, dark blue for much [2.5] more), increasing the shading on the bar, and adding an arrow. By maximizing the graph on screen and running through each page as a slide show, faculty can quickly assess for the presence of collusion between students. (PDF 140 kb

    Additional file 8: Figure S6. of The theoretical and empirical basis of a BioPsychoSocial (BPS) risk screener for detection of older people’s health related needs, planning of community programs, and targeted care interventions

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    Summary of multivariate associations by outcomes of interest. Summary of results based on study participants. Data was collected during August to October 2014, using non-randomized convenience sampling, and listings of addresses of participants of 60 years of age and older. (DOCX 2475 kb

    Additional file 5: Figure S4. of The theoretical and empirical basis of a BioPsychoSocial (BPS) risk screener for detection of older people’s health related needs, planning of community programs, and targeted care interventions

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    Distribution of managing scores, n = 1325 study participants over 60 years of age. Data was collected during August to October 2014, using non-randomized convenience sampling, and listings of addresses of participants of 60 years of age and older. (DOCX 57 kb

    Additional file 6: Figure S5a-d. of The theoretical and empirical basis of a BioPsychoSocial (BPS) risk screener for detection of older people’s health related needs, planning of community programs, and targeted care interventions

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    Managing scores by outcomes of interest, n = 1325 study participants over 60 years of age. Data was collected during August to October 2014, using non-randomized convenience sampling, and listings of addresses of participants of 60 years of age and older. (DOCX 2557 kb
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