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Rapid assessment of disability in the Philippines: understanding prevalence, well-being, and access to the community for people with disabilities to inform the W-DARE project

Overview of attention for article published in Population Health Metrics, August 2016
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2 X users

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30 Dimensions

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207 Mendeley
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Title
Rapid assessment of disability in the Philippines: understanding prevalence, well-being, and access to the community for people with disabilities to inform the W-DARE project
Published in
Population Health Metrics, August 2016
DOI 10.1186/s12963-016-0096-y
Pubmed ID
Authors

Manjula Marella, Alexandra Devine, Graeme Ferdinand Armecin, Jerome Zayas, Ma Jesusa Marco, Cathy Vaughan

Abstract

International recognition that people with disabilities were excluded from the Millennium Development Goals has led to better inclusion of people with disabilities in the recently agreed Global Goals for Sustainable Development (SDGs) 2015-2030. Given the current global agenda for disability inclusion, it is crucial to increase the understanding of the situation of people with disabilities in the Philippines. The aim of this study was to estimate the prevalence of disability and compare the well-being and access to the community between people with and without disabilities. A population-based survey was undertaken in District 2 of Quezon City and in Ligao City. 60 clusters of 50 people aged 18 years and older were selected with probability proportion to size sampling from both locations. The Rapid Assessment of Disability (RAD) survey was used to identify people with disabilities based on their responses to activity limitations. The levels of well-being and access to the community for people with disabilities were compared with controls matched by age, gender, and cluster. Information on barriers to accessing the community was also collected. The prevalence of disability was 6.8 (95 % CI: 5.9, 7.9) and 13.6 % (95 % CI: 11.4, 16.2) in Quezon City and Ligao City respectively. Psychological distress was the most commonly reported condition in both locations, although it was often reported with a co-morbid condition related to sensory, physical, cognitive, and communication difficulties. The prevalence of disability was associated with age and no schooling, but not associated with poverty. People with disabilities had significantly lower well-being scores and reduced access to health services, work, rehabilitation, education, government social welfare, and disaster management than people without disability. Having a disability and negative family attitudes were reported as barriers for people with disabilities participating in work, community meetings, religious activities, and social activities. The prevalence of disability among adults in District 2 of Quezon City and in Ligao City is higher than the estimated national prevalence of disability derived from the 2010 Philippines census. Disability is also associated with lower well-being and reduced participation across a number of domains of community life.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 207 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 13%
Student > Ph. D. Student 24 12%
Student > Bachelor 19 9%
Researcher 16 8%
Student > Doctoral Student 16 8%
Other 40 19%
Unknown 66 32%
Readers by discipline Count As %
Nursing and Health Professions 30 14%
Social Sciences 26 13%
Medicine and Dentistry 17 8%
Psychology 15 7%
Engineering 7 3%
Other 34 16%
Unknown 78 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 August 2016.
All research outputs
#14,268,952
of 22,881,964 outputs
Outputs from Population Health Metrics
#279
of 392 outputs
Outputs of similar age
#216,030
of 366,909 outputs
Outputs of similar age from Population Health Metrics
#6
of 11 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 392 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 366,909 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.