Literature DB >> 11357464

Unmet needs in groups of traditionally underserved individuals with HIV/AIDS: empirical models.

L A Melchior1, G J Huba, T Gallagher, E Jean-Louis, S S McDonald, G A Smereck, V F German, V B Brown, A T Panter.   

Abstract

Over the course of the HIV epidemic, the demographics of the populations of affected individuals have changed. Groups that traditionally have been underserved in systems of care have a number of unmet service needs. This article presents results based on data from 478 patients in five national demonstration projects which were funded to enroll individuals from traditionally underserved groups and to help them access services using different strategies. The participants in these programs had a high level of unmet need prior to enrolling in care. Data on client service needs were related to 17 indicators of traditionally underserved status including demographic characteristics and risk behaviors, using the data modeling method of Exhaustive CHAID (Chi-squared Automatic Interaction Detector). Crack cocaine users with HIV/AIDS were more likely than other patient groups to have unmet service needs. Patients who were homeless or in precarious housing also were vulnerable. Results are discussed in terms of designing and evaluating innovative service models to close these service gaps.

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Year:  2001        PMID: 11357464     DOI: 10.1300/J027v19n01_03

Source DB:  PubMed          Journal:  Home Health Care Serv Q        ISSN: 0162-1424


  3 in total

1.  Correlates of antiretroviral utilization among hospitalized HIV-infected crack cocaine users.

Authors:  Rupali Kotwal Doshi; Nicholas S Vogenthaler; Sarah Lewis; Allan Rodriguez; Lisa Metsch; Carlos del Rio
Journal:  AIDS Res Hum Retroviruses       Date:  2012-03-02       Impact factor: 2.205

2.  Performance status is the most powerful risk factor for early death among patients with advanced soft tissue sarcoma: the European Organisation for Research and Treatment of Cancer-Soft Tissue and Bone Sarcoma Group (STBSG) and French Sarcoma Group (FSG) study.

Authors:  N Penel; M V Glabbeke; S Mathoulin-Pelissier; I Judson; S Sleijfer; B Bui; P Schoffski; M Ouali; S Marreaud; V Brouste; A Duhamel; P Hohenberger; J-Y Blay
Journal:  Br J Cancer       Date:  2011-04-19       Impact factor: 7.640

3.  Prediction of early death among patients enrolled in phase I trials: development and validation of a new model based on platelet count and albumin.

Authors:  A Ploquin; D Olmos; D Lacombe; R A'Hern; A Duhamel; C Twelves; S Marsoni; R Morales-Barrera; J-C Soria; J Verweij; E E Voest; P Schöffski; J H Schellens; A Kramar; R S Kristeleit; H-T Arkenau; S B Kaye; N Penel
Journal:  Br J Cancer       Date:  2012-08-21       Impact factor: 7.640

  3 in total

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