Longitudinal Analysis of Mortality for Older Adults Receiving or Waiting for Aging Network Services
OBJECTIVES For older adults screened by an Area Agency on Aging (AAA) in the National Aging Network, we aimed to examine the 12‐month mortality rate for wait‐listed callers compared with those who received services within 12 months, and to assess whether the mortality rate differed according to how...
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| Veröffentlicht in: | Journal of the American Geriatrics Society (JAGS) 2020-03, Vol.68 (3), p.519-525 |
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| container_title | Journal of the American Geriatrics Society (JAGS) |
| container_volume | 68 |
| creator | Gum, Amber M. Green, Ohad Schonfeld, Lawrence Conner, Kyaien Rigg, Khary K. Wagoner, Frank Melling, Kristina A. Parkinson, Katie |
| description | OBJECTIVES
For older adults screened by an Area Agency on Aging (AAA) in the National Aging Network, we aimed to examine the 12‐month mortality rate for wait‐listed callers compared with those who received services within 12 months, and to assess whether the mortality rate differed according to how quickly they received services.
DESIGN
The design was a longitudinal analysis of 3 years of AAA administrative data, using survival analysis.
SETTING
The data source was administrative data from an AAA spanning a five‐county region in west central Florida.
PARTICIPANTS
All older adults (age 60 y and older) screened for service eligibility from July 15, 2013, to August 15, 2015, who completed initial screening during the study period were included (N = 6288).
MEASUREMENTS
The outcome was mortality within 12 months of the initial screening. Covariates included demographics, caregiver status, health status, access to healthcare, and AAA service status.
RESULTS
In the first survival analysis, the strongest predictor was waiting for services compared with receiving services; waiting increased the odds to die vs not to die by 141%, after controlling for health status and other covariates. In the second survival analysis, those who received services within 0 to 3 months had a higher mortality risk compared with those who received services within 6 to 9 months or 9 to 12 months.
CONCLUSION
Older adults placed on aging service waiting lists may be at a greater risk of mortality within 12 months than those receiving services. Given that rapid receipt of services was less protective than receiving services later, those prioritized to receive services quickly may be at very high risk of adverse outcomes. Findings raise the possibility that aging services may lower mortality, although additional services may benefit those waiting long periods for services, as well as those eligible for services rapidly. Research is needed to replicate and extend these findings. J Am Geriatr Soc 68:519–525, 2020 |
| doi_str_mv | 10.1111/jgs.16232 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_wiley</sourceid><recordid>TN_cdi_wiley_primary_10_1111_jgs_16232_JGS16232</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2309815742</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3532-3dae963cc23c3633366e8691b9c328d9842afbf8ac95ec006b87d4cd8cf91bf73</originalsourceid><addsrcrecordid>eNqN0UtPGzEQAGCrKioBeugfqCz1AqpC_Nj1eo9RBLQoNBIP9bjyeseRw2YNtheUf19vEzggIeGDPZK_GY3HCH2j5JSmNVktwykVjLNPaERzzsZ5RvPPaEQIYWMpaLaPDkJYEUIZkfIL2udU5AWhZIT03HVLG_vGdqrF07Rtgg3YGXzlfFStjRtsnMeLtgGPp03fxoCvQYN9st0Sp5u_ysYhHNR0OUR_ID47f49vwD9ZDeEI7RnVBvi6Ow_R3fnZ7ezXeL64-D2bzseaD03zRkEpuNaMay4450KAFCWtS82ZbEqZMWVqI5Uuc9CEiFoWTaYbqU1CpuCH6Hhb98G7xx5CrNY2aGhb1YHrQ8U4KSXNi4wl-uMNXbnep9cPSpRCMlLQpE62SnsXggdTPXi7Vn5TUVINk6_S5Kv_k0_2-65iX6-heZUvo05AbsEz1M4EbaHT8MrSV2UlKxhhKSJ0ZqOK1nUz13cxpf78eGrSk522LWzeb7m6vLjZ9v4PXCKtPA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2369682071</pqid></control><display><type>article</type><title>Longitudinal Analysis of Mortality for Older Adults Receiving or Waiting for Aging Network Services</title><source>MEDLINE</source><source>Web of Science - Science Citation Index Expanded - 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><source>Wiley Online Library All Journals</source><source>Web of Science - Social Sciences Citation Index – 2020<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><creator>Gum, Amber M. ; Green, Ohad ; Schonfeld, Lawrence ; Conner, Kyaien ; Rigg, Khary K. ; Wagoner, Frank ; Melling, Kristina A. ; Parkinson, Katie</creator><creatorcontrib>Gum, Amber M. ; Green, Ohad ; Schonfeld, Lawrence ; Conner, Kyaien ; Rigg, Khary K. ; Wagoner, Frank ; Melling, Kristina A. ; Parkinson, Katie</creatorcontrib><description>OBJECTIVES
For older adults screened by an Area Agency on Aging (AAA) in the National Aging Network, we aimed to examine the 12‐month mortality rate for wait‐listed callers compared with those who received services within 12 months, and to assess whether the mortality rate differed according to how quickly they received services.
DESIGN
The design was a longitudinal analysis of 3 years of AAA administrative data, using survival analysis.
SETTING
The data source was administrative data from an AAA spanning a five‐county region in west central Florida.
PARTICIPANTS
All older adults (age 60 y and older) screened for service eligibility from July 15, 2013, to August 15, 2015, who completed initial screening during the study period were included (N = 6288).
MEASUREMENTS
The outcome was mortality within 12 months of the initial screening. Covariates included demographics, caregiver status, health status, access to healthcare, and AAA service status.
RESULTS
In the first survival analysis, the strongest predictor was waiting for services compared with receiving services; waiting increased the odds to die vs not to die by 141%, after controlling for health status and other covariates. In the second survival analysis, those who received services within 0 to 3 months had a higher mortality risk compared with those who received services within 6 to 9 months or 9 to 12 months.
CONCLUSION
Older adults placed on aging service waiting lists may be at a greater risk of mortality within 12 months than those receiving services. Given that rapid receipt of services was less protective than receiving services later, those prioritized to receive services quickly may be at very high risk of adverse outcomes. Findings raise the possibility that aging services may lower mortality, although additional services may benefit those waiting long periods for services, as well as those eligible for services rapidly. Research is needed to replicate and extend these findings. J Am Geriatr Soc 68:519–525, 2020</description><identifier>ISSN: 0002-8614</identifier><identifier>EISSN: 1532-5415</identifier><identifier>DOI: 10.1111/jgs.16232</identifier><identifier>PMID: 31657010</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Aged ; Aging ; aging network ; Demography ; Female ; Florida ; Geriatrics & Gerontology ; Gerontology ; Health Services Accessibility - statistics & numerical data ; Health Status ; Humans ; Life Sciences & Biomedicine ; Longitudinal Studies ; Male ; Mortality ; Mortality - trends ; Older people ; Science & Technology ; screening ; Survival ; Survival analysis ; waiting lists ; Waiting Lists - mortality</subject><ispartof>Journal of the American Geriatrics Society (JAGS), 2020-03, Vol.68 (3), p.519-525</ispartof><rights>2019 The American Geriatrics Society</rights><rights>2019 The American Geriatrics Society.</rights><rights>2020 American Geriatrics Society and Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>4</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000492720200001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c3532-3dae963cc23c3633366e8691b9c328d9842afbf8ac95ec006b87d4cd8cf91bf73</citedby><cites>FETCH-LOGICAL-c3532-3dae963cc23c3633366e8691b9c328d9842afbf8ac95ec006b87d4cd8cf91bf73</cites><orcidid>0000-0001-5627-0956</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjgs.16232$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjgs.16232$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,782,786,1419,27931,27932,28255,28256,45581,45582</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31657010$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gum, Amber M.</creatorcontrib><creatorcontrib>Green, Ohad</creatorcontrib><creatorcontrib>Schonfeld, Lawrence</creatorcontrib><creatorcontrib>Conner, Kyaien</creatorcontrib><creatorcontrib>Rigg, Khary K.</creatorcontrib><creatorcontrib>Wagoner, Frank</creatorcontrib><creatorcontrib>Melling, Kristina A.</creatorcontrib><creatorcontrib>Parkinson, Katie</creatorcontrib><title>Longitudinal Analysis of Mortality for Older Adults Receiving or Waiting for Aging Network Services</title><title>Journal of the American Geriatrics Society (JAGS)</title><addtitle>J AM GERIATR SOC</addtitle><addtitle>J Am Geriatr Soc</addtitle><description>OBJECTIVES
For older adults screened by an Area Agency on Aging (AAA) in the National Aging Network, we aimed to examine the 12‐month mortality rate for wait‐listed callers compared with those who received services within 12 months, and to assess whether the mortality rate differed according to how quickly they received services.
DESIGN
The design was a longitudinal analysis of 3 years of AAA administrative data, using survival analysis.
SETTING
The data source was administrative data from an AAA spanning a five‐county region in west central Florida.
PARTICIPANTS
All older adults (age 60 y and older) screened for service eligibility from July 15, 2013, to August 15, 2015, who completed initial screening during the study period were included (N = 6288).
MEASUREMENTS
The outcome was mortality within 12 months of the initial screening. Covariates included demographics, caregiver status, health status, access to healthcare, and AAA service status.
RESULTS
In the first survival analysis, the strongest predictor was waiting for services compared with receiving services; waiting increased the odds to die vs not to die by 141%, after controlling for health status and other covariates. In the second survival analysis, those who received services within 0 to 3 months had a higher mortality risk compared with those who received services within 6 to 9 months or 9 to 12 months.
CONCLUSION
Older adults placed on aging service waiting lists may be at a greater risk of mortality within 12 months than those receiving services. Given that rapid receipt of services was less protective than receiving services later, those prioritized to receive services quickly may be at very high risk of adverse outcomes. Findings raise the possibility that aging services may lower mortality, although additional services may benefit those waiting long periods for services, as well as those eligible for services rapidly. Research is needed to replicate and extend these findings. J Am Geriatr Soc 68:519–525, 2020</description><subject>Aged</subject><subject>Aging</subject><subject>aging network</subject><subject>Demography</subject><subject>Female</subject><subject>Florida</subject><subject>Geriatrics & Gerontology</subject><subject>Gerontology</subject><subject>Health Services Accessibility - statistics & numerical data</subject><subject>Health Status</subject><subject>Humans</subject><subject>Life Sciences & Biomedicine</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Mortality</subject><subject>Mortality - trends</subject><subject>Older people</subject><subject>Science & Technology</subject><subject>screening</subject><subject>Survival</subject><subject>Survival analysis</subject><subject>waiting lists</subject><subject>Waiting Lists - mortality</subject><issn>0002-8614</issn><issn>1532-5415</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><sourceid>EIF</sourceid><recordid>eNqN0UtPGzEQAGCrKioBeugfqCz1AqpC_Nj1eo9RBLQoNBIP9bjyeseRw2YNtheUf19vEzggIeGDPZK_GY3HCH2j5JSmNVktwykVjLNPaERzzsZ5RvPPaEQIYWMpaLaPDkJYEUIZkfIL2udU5AWhZIT03HVLG_vGdqrF07Rtgg3YGXzlfFStjRtsnMeLtgGPp03fxoCvQYN9st0Sp5u_ysYhHNR0OUR_ID47f49vwD9ZDeEI7RnVBvi6Ow_R3fnZ7ezXeL64-D2bzseaD03zRkEpuNaMay4450KAFCWtS82ZbEqZMWVqI5Uuc9CEiFoWTaYbqU1CpuCH6Hhb98G7xx5CrNY2aGhb1YHrQ8U4KSXNi4wl-uMNXbnep9cPSpRCMlLQpE62SnsXggdTPXi7Vn5TUVINk6_S5Kv_k0_2-65iX6-heZUvo05AbsEz1M4EbaHT8MrSV2UlKxhhKSJ0ZqOK1nUz13cxpf78eGrSk522LWzeb7m6vLjZ9v4PXCKtPA</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Gum, Amber M.</creator><creator>Green, Ohad</creator><creator>Schonfeld, Lawrence</creator><creator>Conner, Kyaien</creator><creator>Rigg, Khary K.</creator><creator>Wagoner, Frank</creator><creator>Melling, Kristina A.</creator><creator>Parkinson, Katie</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5627-0956</orcidid></search><sort><creationdate>202003</creationdate><title>Longitudinal Analysis of Mortality for Older Adults Receiving or Waiting for Aging Network Services</title><author>Gum, Amber M. ; Green, Ohad ; Schonfeld, Lawrence ; Conner, Kyaien ; Rigg, Khary K. ; Wagoner, Frank ; Melling, Kristina A. ; Parkinson, Katie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3532-3dae963cc23c3633366e8691b9c328d9842afbf8ac95ec006b87d4cd8cf91bf73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Aging</topic><topic>aging network</topic><topic>Demography</topic><topic>Female</topic><topic>Florida</topic><topic>Geriatrics & Gerontology</topic><topic>Gerontology</topic><topic>Health Services Accessibility - statistics & numerical data</topic><topic>Health Status</topic><topic>Humans</topic><topic>Life Sciences & Biomedicine</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Mortality</topic><topic>Mortality - trends</topic><topic>Older people</topic><topic>Science & Technology</topic><topic>screening</topic><topic>Survival</topic><topic>Survival analysis</topic><topic>waiting lists</topic><topic>Waiting Lists - mortality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gum, Amber M.</creatorcontrib><creatorcontrib>Green, Ohad</creatorcontrib><creatorcontrib>Schonfeld, Lawrence</creatorcontrib><creatorcontrib>Conner, Kyaien</creatorcontrib><creatorcontrib>Rigg, Khary K.</creatorcontrib><creatorcontrib>Wagoner, Frank</creatorcontrib><creatorcontrib>Melling, Kristina A.</creatorcontrib><creatorcontrib>Parkinson, Katie</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science - Social Sciences Citation Index – 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gum, Amber M.</au><au>Green, Ohad</au><au>Schonfeld, Lawrence</au><au>Conner, Kyaien</au><au>Rigg, Khary K.</au><au>Wagoner, Frank</au><au>Melling, Kristina A.</au><au>Parkinson, Katie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal Analysis of Mortality for Older Adults Receiving or Waiting for Aging Network Services</atitle><jtitle>Journal of the American Geriatrics Society (JAGS)</jtitle><stitle>J AM GERIATR SOC</stitle><addtitle>J Am Geriatr Soc</addtitle><date>2020-03</date><risdate>2020</risdate><volume>68</volume><issue>3</issue><spage>519</spage><epage>525</epage><pages>519-525</pages><issn>0002-8614</issn><eissn>1532-5415</eissn><abstract>OBJECTIVES
For older adults screened by an Area Agency on Aging (AAA) in the National Aging Network, we aimed to examine the 12‐month mortality rate for wait‐listed callers compared with those who received services within 12 months, and to assess whether the mortality rate differed according to how quickly they received services.
DESIGN
The design was a longitudinal analysis of 3 years of AAA administrative data, using survival analysis.
SETTING
The data source was administrative data from an AAA spanning a five‐county region in west central Florida.
PARTICIPANTS
All older adults (age 60 y and older) screened for service eligibility from July 15, 2013, to August 15, 2015, who completed initial screening during the study period were included (N = 6288).
MEASUREMENTS
The outcome was mortality within 12 months of the initial screening. Covariates included demographics, caregiver status, health status, access to healthcare, and AAA service status.
RESULTS
In the first survival analysis, the strongest predictor was waiting for services compared with receiving services; waiting increased the odds to die vs not to die by 141%, after controlling for health status and other covariates. In the second survival analysis, those who received services within 0 to 3 months had a higher mortality risk compared with those who received services within 6 to 9 months or 9 to 12 months.
CONCLUSION
Older adults placed on aging service waiting lists may be at a greater risk of mortality within 12 months than those receiving services. Given that rapid receipt of services was less protective than receiving services later, those prioritized to receive services quickly may be at very high risk of adverse outcomes. Findings raise the possibility that aging services may lower mortality, although additional services may benefit those waiting long periods for services, as well as those eligible for services rapidly. Research is needed to replicate and extend these findings. J Am Geriatr Soc 68:519–525, 2020</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>31657010</pmid><doi>10.1111/jgs.16232</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5627-0956</orcidid></addata></record> |
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| subjects | Aged Aging aging network Demography Female Florida Geriatrics & Gerontology Gerontology Health Services Accessibility - statistics & numerical data Health Status Humans Life Sciences & Biomedicine Longitudinal Studies Male Mortality Mortality - trends Older people Science & Technology screening Survival Survival analysis waiting lists Waiting Lists - mortality |
| title | Longitudinal Analysis of Mortality for Older Adults Receiving or Waiting for Aging Network Services |
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