HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention

Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling per...
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Autor*in:	Lieb, Spencer [verfasserIn] Trepka, Mary Jo Liberti, Thomas M. Cohen, Lisa Romero, Javier

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2006

Schlagwörter:	AIDS AIDS Drug Assistance Program HIV Migration Urban areas.

Anmerkung:	© The New York Academy of Medicine 2006

Übergeordnetes Werk:	Enthalten in: Journal of urban health - [S.l.] : Springer, 1998, 83(2006), 6 vom: Nov., Seite 1158-1167
Übergeordnetes Werk:	volume:83 ; year:2006 ; number:6 ; month:11 ; pages:1158-1167

Links:	Volltext

DOI / URN:	10.1007/s11524-006-9128-4

Katalog-ID:	SPR020538650

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520			\|a Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed.
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allfields	10.1007/s11524-006-9128-4 doi (DE-627)SPR020538650 (SPR)s11524-006-9128-4-e DE-627 ger DE-627 rakwb eng Lieb, Spencer verfasserin aut HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The New York Academy of Medicine 2006 Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed. AIDS (dpeaa)DE-He213 AIDS Drug Assistance Program (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Migration (dpeaa)DE-He213 Urban areas. (dpeaa)DE-He213 Trepka, Mary Jo aut Liberti, Thomas M. aut Cohen, Lisa aut Romero, Javier aut Enthalten in Journal of urban health [S.l.] : Springer, 1998 83(2006), 6 vom: Nov., Seite 1158-1167 (DE-627)331016788 (DE-600)2050322-2 1468-2869 nnns volume:83 year:2006 number:6 month:11 pages:1158-1167 https://dx.doi.org/10.1007/s11524-006-9128-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 83 2006 6 11 1158-1167
spelling	10.1007/s11524-006-9128-4 doi (DE-627)SPR020538650 (SPR)s11524-006-9128-4-e DE-627 ger DE-627 rakwb eng Lieb, Spencer verfasserin aut HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The New York Academy of Medicine 2006 Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed. AIDS (dpeaa)DE-He213 AIDS Drug Assistance Program (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Migration (dpeaa)DE-He213 Urban areas. (dpeaa)DE-He213 Trepka, Mary Jo aut Liberti, Thomas M. aut Cohen, Lisa aut Romero, Javier aut Enthalten in Journal of urban health [S.l.] : Springer, 1998 83(2006), 6 vom: Nov., Seite 1158-1167 (DE-627)331016788 (DE-600)2050322-2 1468-2869 nnns volume:83 year:2006 number:6 month:11 pages:1158-1167 https://dx.doi.org/10.1007/s11524-006-9128-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 83 2006 6 11 1158-1167
allfields_unstemmed	10.1007/s11524-006-9128-4 doi (DE-627)SPR020538650 (SPR)s11524-006-9128-4-e DE-627 ger DE-627 rakwb eng Lieb, Spencer verfasserin aut HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The New York Academy of Medicine 2006 Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed. AIDS (dpeaa)DE-He213 AIDS Drug Assistance Program (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Migration (dpeaa)DE-He213 Urban areas. (dpeaa)DE-He213 Trepka, Mary Jo aut Liberti, Thomas M. aut Cohen, Lisa aut Romero, Javier aut Enthalten in Journal of urban health [S.l.] : Springer, 1998 83(2006), 6 vom: Nov., Seite 1158-1167 (DE-627)331016788 (DE-600)2050322-2 1468-2869 nnns volume:83 year:2006 number:6 month:11 pages:1158-1167 https://dx.doi.org/10.1007/s11524-006-9128-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 83 2006 6 11 1158-1167
allfieldsGer	10.1007/s11524-006-9128-4 doi (DE-627)SPR020538650 (SPR)s11524-006-9128-4-e DE-627 ger DE-627 rakwb eng Lieb, Spencer verfasserin aut HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The New York Academy of Medicine 2006 Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed. AIDS (dpeaa)DE-He213 AIDS Drug Assistance Program (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Migration (dpeaa)DE-He213 Urban areas. (dpeaa)DE-He213 Trepka, Mary Jo aut Liberti, Thomas M. aut Cohen, Lisa aut Romero, Javier aut Enthalten in Journal of urban health [S.l.] : Springer, 1998 83(2006), 6 vom: Nov., Seite 1158-1167 (DE-627)331016788 (DE-600)2050322-2 1468-2869 nnns volume:83 year:2006 number:6 month:11 pages:1158-1167 https://dx.doi.org/10.1007/s11524-006-9128-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 83 2006 6 11 1158-1167
allfieldsSound	10.1007/s11524-006-9128-4 doi (DE-627)SPR020538650 (SPR)s11524-006-9128-4-e DE-627 ger DE-627 rakwb eng Lieb, Spencer verfasserin aut HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The New York Academy of Medicine 2006 Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed. AIDS (dpeaa)DE-He213 AIDS Drug Assistance Program (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Migration (dpeaa)DE-He213 Urban areas. (dpeaa)DE-He213 Trepka, Mary Jo aut Liberti, Thomas M. aut Cohen, Lisa aut Romero, Javier aut Enthalten in Journal of urban health [S.l.] : Springer, 1998 83(2006), 6 vom: Nov., Seite 1158-1167 (DE-627)331016788 (DE-600)2050322-2 1468-2869 nnns volume:83 year:2006 number:6 month:11 pages:1158-1167 https://dx.doi.org/10.1007/s11524-006-9128-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 83 2006 6 11 1158-1167
language	English
source	Enthalten in Journal of urban health 83(2006), 6 vom: Nov., Seite 1158-1167 volume:83 year:2006 number:6 month:11 pages:1158-1167
sourceStr	Enthalten in Journal of urban health 83(2006), 6 vom: Nov., Seite 1158-1167 volume:83 year:2006 number:6 month:11 pages:1158-1167
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	AIDS AIDS Drug Assistance Program HIV Migration Urban areas.
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container_title	Journal of urban health
authorswithroles_txt_mv	Lieb, Spencer @@aut@@ Trepka, Mary Jo @@aut@@ Liberti, Thomas M. @@aut@@ Cohen, Lisa @@aut@@ Romero, Javier @@aut@@
publishDateDaySort_date	2006-11-01T00:00:00Z
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author	Lieb, Spencer
spellingShingle	Lieb, Spencer misc AIDS misc AIDS Drug Assistance Program misc HIV misc Migration misc Urban areas. HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention
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topic_title	HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention AIDS (dpeaa)DE-He213 AIDS Drug Assistance Program (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Migration (dpeaa)DE-He213 Urban areas. (dpeaa)DE-He213
topic	misc AIDS misc AIDS Drug Assistance Program misc HIV misc Migration misc Urban areas.
topic_unstemmed	misc AIDS misc AIDS Drug Assistance Program misc HIV misc Migration misc Urban areas.
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title	HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention
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title_full	HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention
author_sort	Lieb, Spencer
journal	Journal of urban health
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author_browse	Lieb, Spencer Trepka, Mary Jo Liberti, Thomas M. Cohen, Lisa Romero, Javier
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doi_str_mv	10.1007/s11524-006-9128-4
title_sort	hiv/aids patients who move to urban florida counties following a diagnosis of hiv: predictors and implications for hiv prevention
title_auth	HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention
abstract	Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed. © The New York Academy of Medicine 2006
abstractGer	Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed. © The New York Academy of Medicine 2006
abstract_unstemmed	Abstract We characterized patients at publicly funded HIV/AIDS patient treatment sites who moved (“migrated”) post-diagnosis of HIV to five urban Florida counties, by geographic, demographic, socioeconomic and risk variables. Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). In a similar model for international migrants, the independently associated variables included Hispanic ethnicity, education, and younger age at first HIV diagnosis. Although migrating can bring benefits to a patient such as improved access to health care or a new employment opportunity, it is stressful because it can result in changes in a person’s social network, employment, and health care providers. Thus, moving could create unique patient needs concerning medication adherence, risk-taking, and other psychosocial needs. Given the high percentage of migrants in these urban Florida county clinics, these needs should be further examined and addressed. © The New York Academy of Medicine 2006
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title_short	HIV/AIDS Patients Who Move to Urban Florida Counties Following a Diagnosis of HIV: Predictors and Implications for HIV Prevention
url	https://dx.doi.org/10.1007/s11524-006-9128-4
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author2	Trepka, Mary Jo Liberti, Thomas M. Cohen, Lisa Romero, Javier
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doi_str	10.1007/s11524-006-9128-4
up_date	2024-07-03T16:42:07.483Z
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Each patient who came for services at the sites in a 2–3 week sampling period was asked to complete a brief, self-administered questionnaire. We compared migrant with non-migrant patients to disclose characteristics predictive of migration and help plan for continuity of HIV care, future funding, and HIV prevention. Overall, 25% (range by site, 20%–38%) of the 1,286 patients in the study migrated to the counties from a non-contiguous Florida county, another state, or another country. In a multivariate model comparing interstate migrants with non-migrants, white and Hispanic race/ethnicity, age 9–29 years at first HIV diagnosis compared with older age, increasing education, highest current income and exposure category (men having sex with men and injection drug users) were independently associated with migration (all p < 0.05). 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