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      The development of an HIV-specific complexity rating scale

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          Abstract

          As treatment for HIV improves, an ageing population is experiencing comorbidity which often leads to complex clinical presentations requiring an interdisciplinary care approach. This study sought to quantify clinician assessment of the level of clinical complexity, through the development of a rating scale for people living with HIV (PLHIV), to improve client care through an interdisciplinary care model. An existing alcohol and other drug complexity rating scale was selected and modified for use with PLHIV. HIV-specific items were included through consultation with an interdisciplinary team. A risk-prediction model was developed and validated using clinician ratings of clients attending The Albion Centre, a tertiary HIV clinic in Sydney, Australia, resulting in the development of the Clinical Complexity Rating Scale for HIV (CCRS-HIV). Multivariable logistic regression models identified eight characteristics based on clinician assessment of complexity in PLHIV: financial instability, social isolation, problematic crystal methamphetamine use, mental illness and/or other problematic substance use, cognitive/neurological impairment, polypharmacy, current hepatitis C infection and/or cancer, and other physical health comorbidity. A weighted risk-prediction model was developed and validated. The final model accurately predicted 85% of complex clients, with a sensitivity of 80% and specificity of 91%. This study developed an HIV-specific clinician-rated complexity scale. Further investigations are required to validate the CCRS-HIV with broader HIV populations. This simple complexity screening tool is a promising adjunct to clinical assessment to identify clients with complex physical and psychosocial needs who may benefit from interdisciplinary care interventions and allocation of resources.

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          Why Summary Comorbidity Measures Such As the Charlson Comorbidity Index and Elixhauser Score Work.

          Comorbidity adjustment is an important component of health services research and clinical prognosis. When adjusting for comorbidities in statistical models, researchers can include comorbidities individually or through the use of summary measures such as the Charlson Comorbidity Index or Elixhauser score. We examined the conditions under which individual versus summary measures are most appropriate.
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            Mortality of Patients Lost to Follow-Up in Antiretroviral Treatment Programmes in Resource-Limited Settings: Systematic Review and Meta-Analysis

            Background The retention of patients in antiretroviral therapy (ART) programmes is an important issue in resource-limited settings. Loss to follow up can be substantial, but it is unclear what the outcomes are in patients who are lost to programmes. Methods and Findings We searched the PubMed, EMBASE, Latin American and Caribbean Health Sciences Literature (LILACS), Indian Medlars Centre (IndMed) and African Index Medicus (AIM) databases and the abstracts of three conferences for studies that traced patients lost to follow up to ascertain their vital status. Main outcomes were the proportion of patients traced, the proportion found to be alive and the proportion that had died. Where available, we also examined the reasons why some patients could not be traced, why patients found to be alive did not return to the clinic, and the causes of death. We combined mortality data from several studies using random-effects meta-analysis. Seventeen studies were eligible. All were from sub-Saharan Africa, except one study from India, and none were conducted in children. A total of 6420 patients (range 44 to 1343 patients) were included. Patients were traced using telephone calls, home visits and through social networks. Overall the vital status of 4021 patients could be ascertained (63%, range across studies: 45% to 86%); 1602 patients had died. The combined mortality was 40% (95% confidence interval 33%–48%), with substantial heterogeneity between studies (P<0.0001). Mortality in African programmes ranged from 12% to 87% of patients lost to follow-up. Mortality was inversely associated with the rate of loss to follow up in the programme: it declined from around 60% to 20% as the percentage of patients lost to the programme increased from 5% to 50%. Among patients not found, telephone numbers and addresses were frequently incorrect or missing. Common reasons for not returning to the clinic were transfer to another programme, financial problems and improving or deteriorating health. Causes of death were available for 47 deaths: 29 (62%) died of an AIDS defining illness. Conclusions In ART programmes in resource-limited settings a substantial minority of adults lost to follow up cannot be traced, and among those traced 20% to 60% had died. Our findings have implications both for patient care and the monitoring and evaluation of programmes.
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              Depression and HIV/AIDS treatment nonadherence: a review and meta-analysis.

              We meta-analyzed the relationship between depression and HIV medication nonadherence to calculate the overall effect size and examine potential moderators. Overall, across 95 independent samples, depression was significantly (P < 0.0001) associated with nonadherence (r = 0.19; 95% confidence interval = 0.14 to 0.25). Studies evaluating medication adherence via interview found significantly larger effects than those using self-administered questionnaires. Studies measuring adherence along a continuum found significantly stronger effects than studies comparing dichotomies. Effect size was not significantly related to other aspects of adherence or depression measurement, assessment interval (ie, cross-sectional vs. longitudinal), sex, IV drug use, sexual orientation, or study location. The relationship between depression and HIV treatment nonadherence is consistent across samples and over time, is not limited to those with clinical depression, and is not inflated by self-report bias. Our results suggest that interventions aimed at reducing depressive symptom severity, even at subclinical levels, should be a behavioral research priority.
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                Author and article information

                Journal
                Int J STD AIDS
                Int J STD AIDS
                STD
                spstd
                International Journal of STD & AIDS
                SAGE Publications (Sage UK: London, England )
                0956-4624
                1758-1052
                29 September 2019
                November 2019
                : 30
                : 13
                : 1265-1274
                Affiliations
                [1 ]The Albion Centre, Surry Hills, Australia
                [2 ]Clinical Psychology, Graduate School of Health, University of Technology Sydney, Sydney, Australia
                [3 ]School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
                [4 ]The Kirby Institute, University of New South Wales, Sydney, Australia
                Author notes
                [*]SM Bulsara, The Albion Centre, 150 Albion Street, Surry Hills, NSW 2010, Australia. Email: shiraze.bulsara@ 123456health.nsw.gov.au
                Author information
                https://orcid.org/0000-0002-2015-853X
                https://orcid.org/0000-0002-0381-1170
                https://orcid.org/0000-0002-1308-4595
                https://orcid.org/0000-0002-1977-9478
                https://orcid.org/0000-0002-8279-7652
                Article
                10.1177_0956462419868359
                10.1177/0956462419868359
                6886116
                31566095
                ef4e3ed2-0048-4a91-ace6-8ca471265b45
                © The Author(s) 2019

                Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 23 May 2019
                : 17 July 2019
                Funding
                Funded by: Gilead Sciences, FundRef https://doi.org/10.13039/100005564;
                Categories
                Original Research Articles

                complexity,screening tool,hiv,interdisciplinary,comorbidity
                complexity, screening tool, hiv, interdisciplinary, comorbidity

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