Financial overview and grant giving statistics of Missouri Disability Empowerment Foundation

In 2023, the U.S. states with the highest share of the population that had a disability were West Virginia, Arkansas, and Kentucky. At that time, around 19.7 percent of the population of West Virginia had some form of disability. The states with the lowest rates of disability were New Jersey, Utah, and Minnesota. Disability in the United States A disability is any condition, either physical or mental, that impairs one’s ability to do certain activities. Some examples of disabilities are those that affect one’s vision, hearing, movement, or learning. It is estimated that around 14 percent of the population in the United States suffers from some form of disability. The prevalence of disability increases with age, with 46 percent of those aged 75 years and older with a disability, compared to just six percent of those aged 5 to 15 years. Vision impairment One common form of disability comes from vision impairment. In 2023, around 3.6 percent of the population of West Virginia had a vision disability, meaning they were blind or had serious difficulty seeing even when wearing glasses. The leading causes of visual disability are age-related and include diseases such as cataracts, glaucoma, and age-related macular degeneration. This is clear when viewing the prevalence of vision disability by age. It is estimated that 8.3 percent of those aged 75 years and older in the United States have a vision disability, compared to 4.3 percent of those aged 65 to 74 and only 0.9 percent of those aged 5 to 15 years.

Comprehensive dataset containing 187 verified Disability services and support organization businesses in Missouri, United States with complete contact information, ratings, reviews, and location data.

Historical Dataset of Missouri Schools For The Severely Disabled is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,Asian Student Percentage Comparison Over Years (2005-2023),Hispanic Student Percentage Comparison Over Years (2004-2023),Black Student Percentage Comparison Over Years (2004-2023),White Student Percentage Comparison Over Years (2005-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Comparison of Students By Grade Trends

Financial overview and grant giving statistics of Missouri Disabled Sportsmen

Financial overview and grant giving statistics of Missouri Association of County Developmmental Disabilities Serv

A federal disability case processing system used by the Delaware Disability Determination Service (DDS), California DDS, Missouri DDS, Alaska DDS, and several Disability Processing Branches (DPB).

Financial overview and grant giving statistics of Missouri Association for Persons With Intellectual Disabilities Inc.

Comprehensive dataset containing 24 verified Handicapped transportation service businesses in Missouri, United States with complete contact information, ratings, reviews, and location data.

United Kingdom State Support: BU:MO: Disability Allowance : Care data was reported at 5.000 % in 2017. This records a decrease from the previous number of 6.000 % for 2016. United Kingdom State Support: BU:MO: Disability Allowance : Care data is updated yearly, averaging 6.000 % from Mar 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 6.000 % in 2016 and a record low of 5.000 % in 2017. United Kingdom State Support: BU:MO: Disability Allowance : Care data remains active status in CEIC and is reported by Department for Work and Pensions. The data is categorized under Global Database’s UK – Table UK.H026: Contribution of State Support: Benefit Unit by Family Type.

Schools for the severely disabled for year 2022-2023.

United Kingdom State Support: BU:MO: Disability Allowance: Mobility data was reported at 4.000 % in 2017. This records a decrease from the previous number of 5.000 % for 2016. United Kingdom State Support: BU:MO: Disability Allowance: Mobility data is updated yearly, averaging 5.000 % from Mar 2011 (Median) to 2017, with 7 observations. The data reached an all-time high of 6.000 % in 2013 and a record low of 4.000 % in 2017. United Kingdom State Support: BU:MO: Disability Allowance: Mobility data remains active status in CEIC and is reported by Department for Work and Pensions. The data is categorized under Global Database’s UK – Table UK.H026: Contribution of State Support: Benefit Unit by Family Type.

BackgroundChronic musculoskeletal pain is the leading cause of disability worldwide. The effectiveness of pharmacological treatments for chronic pain is often limited, and there is growing concern about the adverse effects of these treatments, including opioid dependence. Nonpharmacological approaches to chronic pain may be an attractive alternative or adjunctive treatment. We describe the effectiveness of a novel, theoretically based group pain management support intervention for chronic musculoskeletal pain.Methods and FindingsWe conducted a multi-centre, pragmatic, randomised, controlled effectiveness and cost-effectiveness (cost–utility) trial across 27 general practices and community musculoskeletal services in the UK. We recruited 703 adults with musculoskeletal pain of at least 3 mo duration between August 1, 2011, and July 31, 2012, and randomised participants 1.33:1 to intervention (403) or control (300). Intervention participants were offered a participative group intervention (COPERS) delivered over three alternate days with a follow-up session at 2 wk. The intervention introduced cognitive behavioural approaches and was designed to promote self-efficacy to manage chronic pain. Controls received usual care and a relaxation CD. The primary outcome was pain-related disability at 12 mo (Chronic Pain Grade [CPG] disability subscale); secondary outcomes included the CPG disability subscale at 6 mo and the following measured at 6 and 12 mo: anxiety and depression (Hospital Anxiety and Depression Scale [HADS]), pain acceptance (Chronic Pain Acceptance Questionnaire), social integration (Health Education Impact Questionnaire social integration and support subscale), pain-related self-efficacy (Pain Self-Efficacy Questionnaire), pain intensity (CPG pain intensity subscale), the census global health question (2011 census for England and Wales), health utility (EQ-5D-3L), and health care resource use. Analyses followed the intention-to-treat principle, accounted for clustering by course in the intervention arm, and used multiple imputation for missing or incomplete primary outcome data.The mean age of participants was 59.9 y, with 81% white, 67% female, 23% employed, 85% with pain for at least 3 y, and 23% on strong opioids. Symptoms of depression and anxiety were common (baseline mean HADS scores 7.4 [standard deviation 4.1] and 9.2 [4.6], respectively). Overall, 282 (70%) intervention participants met the predefined intervention adherence criterion. Primary outcome data were obtained from 88% of participants. There was no significant difference between groups in pain-related disability at 6 or 12 mo (12 mo: difference −1.0, intervention versus control, 95% CI −4.9 to 3.0), pain intensity, or the census global health question. Anxiety, depression, pain-related self-efficacy, pain acceptance, and social integration were better in the intervention group at 6 mo; at 12 mo, these differences remained statistically significant only for depression (−0.7, 95% CI −1.2 to −0.2) and social integration (0.8, 95% CI 0.4 to 1.2). Intervention participants received more analgesics than the controls across the 12 mo. The total cost of the course per person was £145 (US$214). The cost–utility analysis showed there to be a small benefit in terms of quality-adjusted life years (QALYs) (0.0325, 95% CI −0.0074 to 0.0724), and on the cost side the intervention was a little more expensive than usual care (i.e., £188 [US$277], 95% CI −£125 [−US$184] to £501 [US$738]), resulting in an incremental cost-effectiveness ratio of £5,786 (US$8,521) per QALY. Limitations include the fact that the intervention was relatively brief and did not include any physical activity components.ConclusionsWhile the COPERS intervention was brief, safe, and inexpensive, with a low attrition rate, it was not effective for reducing pain-related disability over 12 mo (primary outcome). For secondary outcomes, we found sustained benefits on depression and social integration at 6 and 12 mo, but there was no effect on anxiety, pain-related self-efficacy, pain acceptance, pain intensity, or the census global health question at 12 mo. There was some evidence that the intervention may be cost-effective based on a modest difference in QALYs between groups.Trial registrationISRCTN Registry 24426731

Map Flint - Feature Service layer(s) : ACS5YR 2013-2017 estimates for UM-Flint U.S. EDA Region (MEDC Region 6), Michigan, USA by county of Receipt of SNAP Food Stamps (past 12 mo.) by Disability for Households.

Data Dictionary: https://mapflint.org/dictionaries/2017_EDA_by_county_ACS5YR_Receipt_of_SNAP_Food_Stamps_past12mo_by_Disability_for_Households_vars007_data_dictionary.pdf

Note: Layer(s) not initially visible and must be turned on.

This feature layer is an American Community Survey (ACS) estimate (U.S. Census Bureau) that is derived from the National Historical Geographic Information System (NHGIS) and has been customized for various Map Flint analyses and projects pertaining to the City of Flint, Genesee County, Michigan U.S.A. and other surrounding counties - e.g., counties and communities in the greater Flint vicinity that also overlap with the mission of the University of Michigan-Flint EDA University Center for Community and Economic Development. All NHGiS layers in Map Flint projects maintain the uniquely-valued GISJOIN geographic ID assigned by the NHGIS in order to work with multiple data sets.

For more information, visit https://mapflint.org

国家支持：BU：MO：伤残津贴：护理在03-01-2017达5.000%，相较于03-01-2016的6.000%有所下降。国家支持：BU：MO：伤残津贴：护理数据按年更新，03-01-2011至03-01-2017期间平均值为6.000%，共7份观测结果。该数据的历史最高值出现于03-01-2016，达6.000%，而历史最低值则出现于03-01-2017，为5.000%。CEIC提供的国家支持：BU：MO：伤残津贴：护理数据处于定期更新的状态，数据来源于Department for Work and Pensions，数据归类于Global Database的英国 – 表 UK.H026：国家支持的贡献：按家庭类型的赔付单位。