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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Food assistance is associated with decreased nursing home admissions for Maryland’s dually eligible older adults
|
|---|---|
| Published in |
BMC Geriatrics, July 2017
|
| DOI | 10.1186/s12877-017-0553-x |
| Pubmed ID | |
| Authors |
Sarah L. Szanton, Laura J. Samuel, Rachel Cahill, Ginger Zielinskie, Jennifer L. Wolff, Roland J. Thorpe, Charles Betley |
| Abstract |
Although it has long been known that a broad range of factors beyond medical diagnoses affect health and health services use, it has been unclear whether additional income can decrease health service use. We examined whether Supplemental Nutrition Assistance Program (SNAP) receipt is associated with subsequent nursing home entry among low income older adults. We examined the 77,678 older adults dually eligible for Medicaid and Medicare in Maryland, 2010-2012. Zero inflated negative binomial regression, adjusting for demographic and health factors, tested the association of either lagged SNAP enrollment or lagged benefit amount with nursing home admission. We used Heckman two-step model results to calculate potential savings of SNAP enrollment through reduced nursing home admissions and reduced duration. Only 53.4% received SNAP in 2012, despite being income-eligible. SNAP participants had a 23% reduced odds of nursing home admission than nonparticipants (95% CI: 0.75-0.78). For SNAP participants, an additional $10 of monthly SNAP assistance was associated with lower odds of admission (OR = 0.93, 95% CI: 0.93-0.93), and fewer days stay among those admitted (IRR = 0.99, 95% CI: 0.98-0.99). Providing SNAP to all 2012 sample nonparticipants could be associated with $34 million in cost savings in Maryland. SNAP is underutilized and may reduce costly nursing home use among high-risk older adults. This study has policy implications at the State and Federal levels which include expanding access to SNAP and enhancing SNAP amounts. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 60% |
| Australia | 1 | 10% |
| Congo, The Democratic Republic of the | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 17% |
| Researcher | 9 | 14% |
| Student > Ph. D. Student | 7 | 11% |
| Student > Postgraduate | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 16 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 10 | 16% |
| Social Sciences | 9 | 14% |
| Medicine and Dentistry | 7 | 11% |
| Economics, Econometrics and Finance | 3 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 24 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 30 April 2023.
All research outputs
#798,442
of 23,653,937 outputs
Outputs from BMC Geriatrics
#97
of 3,215 outputs
Outputs of similar age
#17,727
of 317,348 outputs
Outputs of similar age from BMC Geriatrics
#5
of 65 outputs
Altmetric has tracked 23,653,937 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,215 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done particularly well, scoring higher than 97% of its peers.
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 317,348 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.