Comparative Value of Four Measures of Retention in Expert Care in Predicting Clinical Outcomes and Health Care Utilization in HIV Patients
Identifieur interne : 001806 ( Main/Merge ); précédent : 001805; suivant : 001807Comparative Value of Four Measures of Retention in Expert Care in Predicting Clinical Outcomes and Health Care Utilization in HIV Patients
Auteurs : Kelly R. Reveles [États-Unis] ; Timothy R. Juday [États-Unis] ; Matthew J. Labreche [États-Unis] ; Eric M. Mortensen [États-Unis] ; Jim M. Koeller [États-Unis] ; Daniel Seekins [États-Unis] ; Christine U. Oramasionwu [États-Unis] ; Mary Bollinger [États-Unis] ; Laurel A. Copeland [États-Unis] ; Xavier Jones [États-Unis] ; Christopher R. Frei [États-Unis]Source :
- PLoS ONE [ 1932-6203 ] ; 2015.
Abstract
This study compared the ability of four measures of patient retention in HIV expert care to predict clinical outcomes. This retrospective study examined Veterans Health Administration (VHA) beneficiaries with HIV (ICD-9-CM codes 042 or V08) receiving expert care (defined as HIV-1 RNA viral load and CD4 cell count tests occurring within one week of each other) at VHA facilities from October 1, 2006, to September 30, 2008. Patients were ≥18 years old and continuous VHA users for at least 24 months after entry into expert care. Retention measures included: Annual Appointments (≥2 appointments annually at least 60 days apart), Missed Appointments (missed ≥25% of appointments), Infrequent Appointments (>6 months without an appointment), and Missed or Infrequent Appointments (missed ≥25% of appointments or >6 months without an appointment). Multivariable nominal logistic regression models were used to determine associations between retention measures and outcomes. Overall, 8,845 patients met study criteria. At baseline, 64% of patients were virologically suppressed and 37% had a CD4 cell count >500 cells/mm3. At 24 months, 82% were virologically suppressed and 46% had a CD4 cell count >500 cells/mm3. During follow-up, 13% progressed to AIDS, 48% visited the emergency department (ED), 28% were hospitalized, and 0.3% died. All four retention measures were associated with virologic suppression and antiretroviral therapy initiation at 24 months follow-up. Annual Appointments correlated positively with CD4 cell count >500 cells/mm3. Missed Appointments was predictive of all primary and secondary outcomes, including CD4 cell count ≤500 cells/mm3, progression to AIDS, ED visit, and hospitalization. Missed Appointments was the only measure to predict all primary and secondary outcomes. This finding could be useful to health care providers and public health organizations as they seek ways to optimize the health of HIV patients.
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DOI: 10.1371/journal.pone.0120953
PubMed: 25794182
PubMed Central: 4368570
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Juday</name><affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Bristol-Myers Squibb Company, Plainsboro, New Jersey, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Bristol-Myers Squibb Company, Plainsboro, New Jersey</wicri:regionArea><placeName><region type="state">New Jersey</region></placeName></affiliation></author><author><name sortKey="Labreche, Matthew J" sort="Labreche, Matthew J" uniqKey="Labreche M" first="Matthew J." last="Labreche">Matthew J. 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Mortensen</name><affiliation wicri:level="2"><nlm:aff id="aff004"><addr-line>VA North Texas Health Care System and The University of Texas Southwestern Medical Center, Dallas, Texas, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>VA North Texas Health Care System and The University of Texas Southwestern Medical Center, Dallas, Texas</wicri:regionArea><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Koeller, Jim M" sort="Koeller, Jim M" uniqKey="Koeller J" first="Jim M." last="Koeller">Jim M. Koeller</name><affiliation wicri:level="4"><nlm:aff id="aff001"><addr-line>The University of Texas at Austin, Austin, Texas, United States of America; and The University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>The University of Texas at Austin, Austin, Texas, United States of America; and The University of Texas Health Science Center at San Antonio, San Antonio, Texas</wicri:regionArea><placeName><region type="state">Texas</region><settlement type="city">Austin (Texas)</settlement></placeName><orgName type="university">Université du Texas à Austin</orgName></affiliation></author><author><name sortKey="Seekins, Daniel" sort="Seekins, Daniel" uniqKey="Seekins D" first="Daniel" last="Seekins">Daniel Seekins</name><affiliation wicri:level="2"><nlm:aff id="aff002"><addr-line>Bristol-Myers Squibb Company, Plainsboro, New Jersey, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Bristol-Myers Squibb Company, Plainsboro, New Jersey</wicri:regionArea><placeName><region type="state">New Jersey</region></placeName></affiliation></author><author><name sortKey="Oramasionwu, Christine U" sort="Oramasionwu, Christine U" uniqKey="Oramasionwu C" first="Christine U." last="Oramasionwu">Christine U. Oramasionwu</name><affiliation wicri:level="4"><nlm:aff id="aff005"><addr-line>University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of North Carolina at Chapel Hill, Chapel Hill, North Carolina</wicri:regionArea><placeName><region type="state">Caroline du Nord</region><settlement type="city">Chapel Hill (Caroline du Nord)</settlement></placeName><orgName type="university">Université de Caroline du Nord à Chapel Hill</orgName></affiliation></author><author><name sortKey="Bollinger, Mary" sort="Bollinger, Mary" uniqKey="Bollinger M" first="Mary" last="Bollinger">Mary Bollinger</name><affiliation wicri:level="2"><nlm:aff id="aff006"><addr-line>South Texas Veterans Health Care System, San Antonio, Texas, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>South Texas Veterans Health Care System, San Antonio, Texas</wicri:regionArea><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Copeland, Laurel A" sort="Copeland, Laurel A" uniqKey="Copeland L" first="Laurel A." last="Copeland">Laurel A. Copeland</name><affiliation wicri:level="2"><nlm:aff id="aff007"><addr-line>Central Texas Veterans Health Care System and Scott & White Healthcare, Center for Applied Health Research, Temple, Texas, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Central Texas Veterans Health Care System and Scott & White Healthcare, Center for Applied Health Research, Temple, Texas</wicri:regionArea><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Jones, Xavier" sort="Jones, Xavier" uniqKey="Jones X" first="Xavier" last="Jones">Xavier Jones</name><affiliation wicri:level="2"><nlm:aff id="aff006"><addr-line>South Texas Veterans Health Care System, San Antonio, Texas, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>South Texas Veterans Health Care System, San Antonio, Texas</wicri:regionArea><placeName><region type="state">Texas</region></placeName></affiliation></author><author><name sortKey="Frei, Christopher R" sort="Frei, Christopher R" uniqKey="Frei C" first="Christopher R." last="Frei">Christopher R. Frei</name><affiliation wicri:level="4"><nlm:aff id="aff001"><addr-line>The University of Texas at Austin, Austin, Texas, United States of America; and The University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America</addr-line></nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>The University of Texas at Austin, Austin, Texas, United States of America; and The University of Texas Health Science Center at San Antonio, San Antonio, Texas</wicri:regionArea><placeName><region type="state">Texas</region><settlement type="city">Austin (Texas)</settlement></placeName><orgName type="university">Université du Texas à Austin</orgName></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>This study compared the ability of four measures of patient retention in HIV expert care to predict clinical outcomes. This retrospective study examined Veterans Health Administration (VHA) beneficiaries with HIV (ICD-9-CM codes 042 or V08) receiving expert care (defined as HIV-1 RNA viral load and CD4 cell count tests occurring within one week of each other) at VHA facilities from October 1, 2006, to September 30, 2008. Patients were ≥18 years old and continuous VHA users for at least 24 months after entry into expert care. Retention measures included: Annual Appointments (≥2 appointments annually at least 60 days apart), Missed Appointments (missed ≥25% of appointments), Infrequent Appointments (>6 months without an appointment), and Missed or Infrequent Appointments (missed ≥25% of appointments or >6 months without an appointment). Multivariable nominal logistic regression models were used to determine associations between retention measures and outcomes. Overall, 8,845 patients met study criteria. At baseline, 64% of patients were virologically suppressed and 37% had a CD4 cell count >500 cells/mm<sup>3</sup>. At 24 months, 82% were virologically suppressed and 46% had a CD4 cell count >500 cells/mm<sup>3</sup>. During follow-up, 13% progressed to AIDS, 48% visited the emergency department (ED), 28% were hospitalized, and 0.3% died. All four retention measures were associated with virologic suppression and antiretroviral therapy initiation at 24 months follow-up. Annual Appointments correlated positively with CD4 cell count >500 cells/mm<sup>3</sup>. Missed Appointments was predictive of all primary and secondary outcomes, including CD4 cell count ≤500 cells/mm<sup>3</sup>, progression to AIDS, ED visit, and hospitalization. Missed Appointments was the only measure to predict all primary and secondary outcomes. This finding could be useful to health care providers and public health organizations as they seek ways to optimize the health of HIV patients.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Hellinger, Fj" uniqKey="Hellinger F">FJ Hellinger</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Schackman, Br" uniqKey="Schackman B">BR Schackman</name></author><author><name sortKey="Gebo, Ka" uniqKey="Gebo K">KA Gebo</name></author><author><name sortKey="Walensky, Rp" uniqKey="Walensky R">RP Walensky</name></author><author><name sortKey="Losina, E" uniqKey="Losina E">E Losina</name></author><author><name sortKey="Muccio, T" uniqKey="Muccio T">T Muccio</name></author><author><name sortKey="Sax, Pe" uniqKey="Sax P">PE Sax</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Berg, Mb" uniqKey="Berg M">MB Berg</name></author><author><name 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sortKey="Dimatteo, Mr" uniqKey="Dimatteo M">MR Dimatteo</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Morgan, Ro" uniqKey="Morgan R">RO Morgan</name></author><author><name sortKey="Teal, Cr" uniqKey="Teal C">CR Teal</name></author><author><name sortKey="Reddy, Sg" uniqKey="Reddy S">SG Reddy</name></author><author><name sortKey="Ford, Me" uniqKey="Ford M">ME Ford</name></author><author><name sortKey="Ashton, Cm" uniqKey="Ashton C">CM Ashton</name></author></analytic></biblStruct></listBibl></div1></back></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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