Does the Quality of Behavior Change Counseling in Routine HIV Care Vary According to Topic and Demand?

HIV clinicians face increasing time constraints. Our objective was to describe the prevalence and quality of behavior change counseling within routine HIV visits and to explore whether clinicians may provide lower quality counseling when facing increased counseling demands. We audio-recorded and transcribed encounters between 205 patients and 12 clinicians at an urban HIV primary care clinic. We identified and coded episodes of behavior change counseling to determine clinicians' consistency with motivational interviewing (MI) and used multi-level regression to evaluate counseling quality changes with each additional topic. Clinician counseling for at least one behavior was indicated in 92% of visits (mean 2.5/visit). Behavioral topics included antiretroviral medication adherence (80%, n = 163), appointment adherence (54%, n = 110), drug use (46%, n = 95), tobacco use (45%, n = 93), unsafe sex (43%, n = 89), weight management (39%, n = 80), and alcohol use (35%, n = 71). Clinician counseling was most MI-consistent when discussing drug and tobacco use and least consistent for medication and appointment adherence, unsafe sex, and alcohol use. In multilevel analyses, clinician counseling was significantly less MI-consistent (ß = - 0.14, 95% CI - 0.29 to - 0.001) with each additional behavior change counseling need. This suggests that HIV ambulatory care be restructured to allocate increased time for patients with greater need for behavior change.

Promoting patient-centered care within HIV care settings in sub-Saharan Africa.

PURPOSE OF REVIEW: Patient centered care (PCC) in human immunodeficiency virus (HIV) care systems in sub-Saharan Africa (SSA) may improve outcomes for persons with HIV (PWH). We review the progress the region has made in promoting PCC and highlight some of the implementation challenges and potential areas of research. RECENT FINDINGS: Studies show growing interest in promoting PCC across HIV care programs in SSA. Effective implementation of PCC, however, is hampered by: (1) lack of consensus on the conceptualization of PCC, including definition, frameworks, measures, and implementation strategies; (2) limited regional studies on the adoption and sustainability of PCC interventions; and (3) healthcare structural challenges including limited capital and human resources, poor provider-patient dynamics, high provider turnover, and lack of continuity in care. Recent studies in the region have focused on identifying key PCC domains addressable in resource limited settings, understanding the PCC experiences and expectations of PWH and their providers, and testing innovative interventions. We highlight the need for additional studies to address the existing gaps. SUMMARY: We discuss the progress and challenges of implementing PCC in HIV care settings in SSA as well as the need for additional research to ensure that proposed PCC interventions have optimal impact.

Association of Patient-Reported Physician Awareness of Complementary Medicine, Medical Care Experience and Care Quality.

The aim was to examine the association of patient-reported physician awareness of biological CAM use and patient perceptions of care experience and quality with a population-based study of patients with incident lung and colorectal cancer. This was a secondary data analysis using regression models. Outcomes of interest were patient reports of medical care experience and quality ratings. Among 716 patients who reported biological CAM use, 69% reported their physicians were aware of this. Patients who reported physician awareness of biological CAM use had higher adjusted scores for medical care experience ( + 5.4, 95%CI:2.3,8.6) and care quality ( + 3.6, 95%CI:-0.3, + 7.5). These associations suggest that physicians should be encouraged to inquire about biological CAM use.

Population-level changes in outcomes and Medicare cost following the introduction of new cancer therapies.

OBJECTIVE: To examine the population-level impacts of the introduction of novel cancer therapies with high cost in the United States, using immunotherapies in advanced nonsmall cell lung cancer (NSCLC) as an example. DATA SOURCES: Surveillance, Epidemiology, and End Results data in 2012-2015 linked to Medicare fee-for-service claims until 2016. STUDY DESIGN: We examined population-level trends in treatment patterns, survival, and Medicare spending in patients diagnosed with advanced NSCLC, the leading cause of cancer death in the United States, between 2012 and 2015. We estimated the percentage of patients who received any antineoplastic therapy within two years of diagnosis, including novel immunotherapies. We compared the trends in overall survival and mean two-year Medicare spending per each patient before and after the introduction of immunotherapies in 2015. DATA COLLECTION/EXTRACTION METHODS: Not Applicable. PRINCIPAL FINDINGS: The percentage of patients treated with any antineoplastic therapy remained the same at 46.7% in 2012 and 2015, whereas the use of immunotherapies increased from 0% to 15.2%. The two-year survival rate and median survival increased by 3.3 percentage points (95% CI: 2.0, 4.5) and 0.4 months (CI: 0.0, 0.9), respectively, during the same period. The mean two-year total Medicare spending and outpatient spending per patient increased by $5735 (CI: 3479, 8040) and $7661 (CI: 5902, 9311), respectively, which were largely attributable to the increases in immunotherapy spending by $5806 (CI: 5165, 6459). CONCLUSIONS: The introduction of lung cancer immunotherapies was accompanied by improvements in survival and increases in spending between 2012 and 2015 in the Medicare population. As novel immunotherapies and other target therapies continue to change the clinical management of various cancers, further efforts are needed to ensure their effective and efficient use, and to understand their population-level impacts in the United States.

Patient and proxy reports regarding the experience of treatment decision-making in cancer care.

OBJECTIVE: Shared decision-making, including the elicitation of patient preferences regarding treatment decisions, is considered part of high-quality cancer care. However, patients may not be able to self-report due to illness, and therefore proxy reports may be used. We sought to determine the difference between proxy and patient reports about patient decisions and preferences among patients who received or were scheduled for chemotherapy using data from a large, population-based survey of patients with incident lung or colorectal cancer. METHODS: Of 3573 patients who received or were scheduled for chemotherapy, 3108 self-reported and 465 had proxies reporting on their behalf about preferred and actual decision roles regarding this treatment. Preferred and actual decision roles were assessed using the Control Preferences Scale, and categorized as shared, patient-controlled, or doctor-controlled. Multivariable logistic regression models were used to assess the association between patient and proxy responses and whether preferences were met. The models adjusted for sociodemographic and clinical variables and patient/proxy-reported health status. RESULTS: Sixty-three percent of all respondents reported actual roles in decisions that matched their preferred roles (role attainment). Proxies and patients were similarly likely to report role attainment (65% vs 63%). In adjusted analyses, proxies were more likely report role attainment (OR = 1.27, 95%CI = 1.02-1.59), but this difference was smaller if health variables were excluded from the model (OR = 1.14, 95%CI = 0.92-1.41). CONCLUSION: Most patients' preferences for treatment participation were met. Surveys from proxies appear to yield small differences on the reports of attainment of preferred treatment decision-making roles in cancer care vs surveys from patients.

Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare.

Human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) protects high risk patients from becoming infected with HIV. Clinicians need help to identify candidates for PrEP based on information routinely collected in electronic health records (EHRs). The greatest statistical challenge in developing a risk prediction model is that acquisition is extremely rare. METHODS: Data consisted of 180 covariates (demographic, diagnoses, treatments, prescriptions) extracted from records on 399 385 patient (150 cases) seen at Atrius Health (2007-2015), a clinical network in Massachusetts. Super learner is an ensemble machine learning algorithm that uses k-fold cross validation to evaluate and combine predictions from a collection of algorithms. We trained 42 variants of sophisticated algorithms, using different sampling schemes that more evenly balanced the ratio of cases to controls. We compared super learner's cross validated area under the receiver operating curve (cv-AUC) with that of each individual algorithm. RESULTS: The least absolute shrinkage and selection operator (lasso) using a 1:20 class ratio outperformed the super learner (cv-AUC = 0.86 vs 0.84). A traditional logistic regression model restricted to 23 clinician-selected main terms was slightly inferior (cv-AUC = 0.81). CONCLUSION: Machine learning was successful at developing a model to predict 1-year risk of acquiring HIV based on a physician-curated set of predictors extracted from EHRs.

Hazard of Cervical, Oropharyngeal, and Anal Cancers in HIV-Infected and HIV-Uninfected Medicaid Beneficiaries.

BACKGROUND: Human immunodeficiency virus-infected (HIV+) individuals are disproportionately at risk for human papillomavirus (HPV)-associated cancers, but the magnitude of risk estimates varies widely. We conducted a retrospective study using a large U.S.-based cohort to describe the relationship between HIV infection and incident cervical, oropharyngeal, and anal cancers. METHODS: Using 2001-2012 U.S. Medicaid data from 14 states, we matched one HIV+ to three HIV-uninfected (HIV-) enrollees on sex, race, state, age, and year, and followed persons for up to 10 years. We developed Cox proportional hazards models comparing HIV+ to HIV- for time to cancer diagnosis adjusted for demographic and comorbidity attributes. RESULTS: Our cohorts included 443,592 women for the cervical cancer analysis, and 907,348 and 906,616 persons for the oropharyngeal and anal cancer analyses. The cervical cancer cohort had a mean age of 39 years and was 55% Black. The oropharyngeal and anal cancer cohorts were 50% male, had a mean age of 41 years, and were 51% Black. We estimated the following HRs: cervical cancer, 3.27 [95% confidence interval (CI), 2.82-3.80]; oropharyngeal cancer, 1.90 (95% CI, 1.62-2.23; both sexes), 1.69 (95% CI, 1.39-2.04; males), and 2.55 (95% CI, 1.86-3.50; females); and anal cancer, 18.42 (95% CI, 14.65-23.16; both sexes), 20.73 (95% CI, 15.60-27.56; males), and 12.88 (95% CI, 8.69-19.07; females). CONCLUSIONS: HIV+ persons were at an elevated risk for HPV-associated cancers, especially anal cancer. IMPACT: Medicaid claims data corroborate previous estimates based on registries and clinical cohorts.

Real-world use and survival outcomes of immune checkpoint inhibitors in older adults with non-small cell lung cancer.

BACKGROUND: Limited data exist regarding the characteristics and survival outcomes of older adults with non-small cell lung cancer (NSCLC) who receive immune checkpoint inhibitors in routine oncology practice. METHODS: Using the Surveillance, Epidemiology, and End Results-Medicare linked database, we identified 1256 patients aged ≥65 years who were diagnosed with pathologically confirmed stage I to stage IV NSCLC between 2002 and 2015 and initiated nivolumab or pembrolizumab in 2016. We examined patient characteristics and overall survival from the time of immune checkpoint inhibitor initiation through December 31, 2017. RESULTS: The median patient age at the time of immune checkpoint inhibitor initiatiton was 75.3 years (interquartile range, 8.5). A substantial percentage of patients were initially diagnosed with stage IV disease (42.6%) and had ≥2 comorbid conditions (48.7%). Using a claims-based proxy, 11.5% of patients had poor performance status and 12.6% had a history of autoimmune conditions. The median overall survival after initiation of immune checkpoint inhibitor was 9.3 months (95% CI, 8.5-10.5 months). The 1-year survival rate was 43.0% (95% CI, 40.2-45.7%). In multivariable analyses, multiple comorbid conditions, squamous histology, a history of nonplatinum doublet systemic therapy, recent radiotherapy, and a shorter time from initial diagnosis to treatment initiation were found to be statistically significantly associated with an increased hazard of death. Demographics, poor performance status, and prior autoimmune conditions were not significantly associated with the hazard of death. CONCLUSIONS: Many older adults with NSCLC who initiated immune checkpoint inhibitors had multiple comorbidities, a history of autoimmune disease, or poor performance status. Factors associated with poor prognosis among patients with advanced NSCLC were also associated with worse survival in older adults treated with immune checkpoint inhibitors.

The Quality of Nursing Homes That Serve Patients With Human Immunodeficiency Virus.

BACKGROUND/OBJECTIVES: As the national population of persons living with human immunodeficiency virus (HIV) ages, they will require greater postacute and long-term care use. Little is known about the quality of nursing homes (NHs) to which patients with HIV are admitted. In this study, we assess the association between the number of persons with HIV admitted annually to a given NH (HIV concentration) and that NH's quality outcomes. DESIGN: A cross-sectional comparative study. SETTING: NHs in nine states, from 2001 to 2012. PARTICIPANTS: A total of 46 918 NH-years accounting for 67 301 admissions by patients with HIV. MEASUREMENTS: We used 100% Medicaid Analytic Extract, Minimum Dataset 2.0 and 3.0, and Medicare claims from 2001 to 2012 from nine states to examine the association between HIV concentration and NH quality. Persons were classified as HIV positive on the basis of all available data sources, and a NH's percentage of new admissions with HIV was calculated (HIV concentration). We then compared differences in star ratings, rehospitalization rates, NH survey deficiencies, and restraint use by a NH's percentage of admissions with HIV, using linear random effects models. RESULTS: After adjusting for NH characteristics, zip code characteristics, and state and year fixed effects, NHs with greater than 0% to 5% of admissions with HIV had a 0.6 lower star rating (P < .001), and a 0.4% percentage point higher 30-day rehospitalization rate (P < .01), compared to those with no HIV admissions. NHs with 5% to 50% of admissions with HIV had 7.0 more deficiencies (P < .001), a 0.1 lower star rating (P < .001), and a 1.5 percentage point higher rehospitalization rate (P < .001). CONCLUSION: Persons with HIV were generally admitted to lower-quality NHs compared to persons without HIV. More efforts are needed to ensure that persons with HIV have access to high-quality NHs. J Am Geriatr Soc 67:2615-2621, 2019.

Medicaid Expansion And Community Health Centers: Care Quality And Service Use Increased For Rural Patients.

Medicaid expansion had great potential to affect community health centers (CHCs), particularly in rural areas, because their patients are predominantly low income and disproportionately uninsured. Using data for 2011-15 on all CHCs, we found that after two years Medicaid expansion was associated with an 11.44-percentage-point decline in the share of CHC patients who were uninsured and a 13.15-percentage-point increase in the share with Medicaid. Changes in quality and volume were consistently observed in rural CHCs in expansion states, which had relative improvements in asthma treatment, body mass index screening and follow-up, and hypertension control, along with substantial increases in volumes for eighteen of twenty-one types of visits-particularly those for mammograms, abnormal breast findings, alcohol-related disorder, and other substance abuse disorder. Similar relative gains were not observed in urban CHCs in expansion states. Repealing or phasing out Medicaid expansion could reverse observed gains in quality and service use and could be particularly detrimental to low-income rural populations.

The Association of Proxy Care Engagement with Proxy Reports of Patient Experience and Quality of Life.

OBJECTIVE: To assess the association of proxy-specific covariates with proxy-reported patient cancer care experience, quality rating, and quality of life. DATA SOURCES/STUDY SETTING: Secondary analysis of data from the Cancer Care Outcomes Research and Surveillance (CanCORS) study. STUDY DESIGN: Cross-sectional observational study. The respondents were proxies for patients with incident colorectal or lung cancer. DATA COLLECTION/EXTRACTION METHODS: Analyses used linear regression models and adjusted for patient sociodemographic and clinical characteristics. Outcomes included patients' experiences with medical care, nursing care, and care coordination, overall quality ratings, and physical and mental health, all scored on 0-100 scales (0 = worst, 100 = best). Independent variables included the proxy's relationship with the patient and engagement in patient care. PRINCIPAL FINDINGS: Of 1,011 proxies, most were the patient's spouse (50 percent) or child (36 percent). Although most proxies (66 percent) always attended medical visits, 3 percent reported never attending. After adjustment, on average children reported worse experiences and poorer quality care than spouses (4-9 points lower across outcomes). Proxies who never attended medical visits reported significantly worse medical care (-11 points, 95 percent CI = -18 to -3) and care coordination (-13 points, 95 percent CI = -20 to -6). CONCLUSIONS: Collecting data on proxy engagement in care is warranted if proxy responses are used.

Proxy and patient reports of health-related quality of life in a national cancer survey.

BACKGROUND: Proxy respondents are frequently used in surveys, including those assessing health-related quality of life (HRQOL). In cancer, most research involving proxies has been undertaken with paired proxy-patient populations, where proxy responses are compared to patient responses for the same individual. In these populations, proxy-patient differences are small and suggest proxy underestimation of patient HRQOL. In practice, however, proxy responses will only be used when patient responses are not available. The difference between proxy and patient reports of patient HRQOL where patients are not able to report for themselves in cancer is not known. The objective of this study was to evaluate the difference between patient and proxy reports of patient HRQOL in a large national cancer survey, and determine if this difference could be mitigated by adjusting for clinical and sociodemographic information about patients. METHODS: Data were from the Cancer Care Outcomes Research and Surveillance (CanCORS) study. Patients or their proxies were recruited within 3-6 months of diagnosis with lung or colorectal cancer. HRQOL was measured using the SF-12 mental and physical composite scales. Differences of ½ SD (=5 points) were considered clinically significant. The primary independent variable was proxy status. Linear regression models were used to adjust for patient sociodemographic and clinical covariates, including cancer stage, patient age and education, and patient co-morbidities. RESULTS: Of 6471 respondents, 1011 (16%) were proxies. Before adjustment, average proxy-reported scores were lower for both physical (-6.7 points, 95% CI -7.4 to -5.9) and mental (-6 points, 95% CI -6.7 to -5.2) health. Proxy-reported scores remained lower after adjustment (physical: -5.8 points, -6.6 to -5; mental: -5.8 points, -6.6 to 5). Proxy-patient score differences remained clinically and statistically significant, even after adjustment for sociodemographic and clinical variables. CONCLUSIONS: Proxy-reported outcome scores for both physical and mental health were clinically and significantly lower than patient-reported scores for these outcomes. The size of the proxy-patient score differences was not affected by the health domain, and adjustment for sociodemographic and clinical variables had minimal impact.

Differences between Proxy and Patient Assessments of Cancer Care Experiences and Quality Ratings.

OBJECTIVE: To assess the impact of proxy survey responses on cancer care experience reports and quality ratings. DATA SOURCES/STUDY SETTING: Secondary analysis of data from Cancer Care Outcomes Research and Surveillance (CanCORS). Recruitment occurred from 2003 to 2005. STUDY DESIGN: The study was a cross-sectional observational study. The respondents were patients with incident colorectal or lung cancer or their proxies. DATA COLLECTION/EXTRACTION METHODS: Analyses used linear regression models with an independent variable for proxy versus patient responses as well as study site and clinical covariates. The outcomes were experiences with medical care, nursing care, care coordination, and care quality rating. Multiple imputation was used for missing data. PRINCIPAL FINDINGS: Among 6,471 respondents, 1,011 (16 percent) were proxies. The proportion of proxy respondents varied from 6 percent to 28 percent across study sites. Adjusted proxy scores were modestly higher for medical care experiences (+1.28 points [95 percent CI:+ 0.05 to +2.51]), but lower for nursing care (-2.81 [95 percent CI: -4.11 to -1.50]) and care coordination experiences (-2.98 [95 percent CI: -4.15 to -1.81]). There were no significant differences between adjusted patient and proxy ratings of quality. CONCLUSIONS: Proxy responses have small but statistically significant differences from patient responses. However, if ratings of care are used for financial incentives, such differences could be exaggerated across practices or areas if proxy use varies.

Systematic review of caregiver responses for patient health-related quality of life in adult cancer care.

PURPOSE: In surveys and in research, proxies such as family members may be used to assess patient health-related quality of life. The aim of this research is to help cancer researchers select a validated health-related quality of life tool if they anticipate using proxy-reported data. METHODS: Systematic review and methodological appraisal of studies examining the concordance of paired adult cancer patient and proxy responses for multidimensional, validated HRQOL tools. We searched PubMed, CINAHL, PsycINFO and perused bibliographies of reviewed papers. We reviewed concordance assessment methods, results, and associated factors for each validated tool. RESULTS: A total of 32 papers reporting on 29 study populations were included. Most papers were cross-sectional (N = 20) and used disease-specific tools (N = 19), primarily the FACT and EORTC. Patient and proxy mean scores were similar on average for tools and scales, with most mean differences <10 points but large standard deviations. Average ICCs for the FACT and EORTC ranged from 0.35 to 0.62, depending on the scale. Few papers (N = 15) evaluated factors associated with concordance, and results and measurement approaches were inconsistent. The EORTC was the most commonly evaluated disease-specific tool (N = 5 papers). For generic tools, both concordance and associated factor information was most commonly available for the COOP/WONCA (N = 3 papers). The MQOL was the most frequently evaluated end-of-life tool (N = 3 papers). CONCLUSIONS: Proxy and patient scores are similar on average, but there is large, clinically important residual variability. The evidence base is strongest for the EORTC (disease-specific tools), COOP/WONCA (generic tools), and MQOL (end-of-life-specific tools).

At Federally Funded Health Centers, Medicaid Expansion Was Associated With Improved Quality Of Care.

In 2014 many uninsured, low-income nonelderly adults gained access to health insurance in states that expanded Medicaid eligibility under the Affordable Care Act. Federally funded community health centers were likely to be particularly affected by this expansion because many of their patients were uninsured and low income. We used a difference-in-differences approach to compare changes among 1,057 such centers in expansion versus nonexpansion states from 2011 to 2014, in terms of their patients' insurance coverage, the number of patients they served, and the quality of care they provided. Medicaid expansion was associated with large increases (12 percentage points) in Medicaid coverage and corresponding declines (11 percentage points) in uninsurance rates. The numbers of patients served increased in both expansion and nonexpansion states, and the magnitude of increase did not differ significantly between the groups of states. Medicaid expansion was associated with improved quality on four of eight measures examined: asthma treatment, Pap testing, body mass index assessment, and hypertension control. This analysis suggests that states' decisions about Medicaid expansion have important consequences for health center patients, with expansion improving treatment and outcomes of chronic disease and bolstering the use of recommended preventive services.

Medication adherence behavior and priorities among older adults with CKD: a semistructured interview study.

BACKGROUND: Older adults with chronic kidney disease (CKD) typically use more than 5 medications and have multiple prescribing physicians. However, little is known about how they prioritize their medical conditions or decide which medications to take. METHODS: Semistructured interviews (average length, 40 minutes) with 20 community-dwelling adults with CKD stages 3-5D receiving nephrology care at a tertiary referral center. Respondents were asked about medications, prescribing physicians, and medication-taking behaviors. We performed thematic analysis to explain patients' decisions regarding medication prioritization, understanding, and adherence decisions. RESULTS: Participants (age range, 55-84 years; mean, 72 years) used 5-14 prescribed medications, had 2-9 physicians, and had 5-11 comorbid conditions. All had assigned implicit priorities to their medications. Although most expressed the intention to be adherent, many regularly skipped medications they considered less important. Most identified the prescribing physician and indication for each medication, but there often was substantial discordance between beliefs about medications and conventional medical opinion. Respondents prioritized medications based on the salience of the particular condition, perceived effects of the treatment, and barriers (physical, logistic, or financial) to using the prescribed drug. Side effects of medications were common and anxiety provoking, but discussions with the prescribing physician often were delayed or unfulfilling for the patient. CONCLUSIONS: Polypharmacy in patients with CKD leads to complex medication choices and adherence behaviors in this population. Most patients we interviewed had beliefs or priorities that were nonconcordant with conventional medical opinion; however, patients rarely discussed these beliefs and priorities or the resultant poor medication adherence with their physicians. Further study is needed to provide quantitative data about the magnitude of adherence barriers. It is likely that more effective communication about medication use could improve patients' health outcomes and reduce potential adverse drug events.

Improving the self-report of HIV antiretroviral medication adherence: is the glass half full or half empty?

Self-reports are the most widely used method for measuring antiretroviral adherence. The association between self-reports and viral loads has been repeatedly demonstrated, but this association does not address how well self-reports measure actual medication-taking behaviors. Understanding adherence self-reports requires studying the science of memory and the reporting of behaviors. In the first section of this review, we discuss research in cognitive psychology that pertains to adherence self-reports, focusing primarily on studies that examine cognitive processes respondents use to answer survey questions. In the second section, we review recent articles examining the relationship between self-reports and objective measures of adherence, highlighting the strength of associations and key methodologic issues. We conclude with key questions for future research and methodologic recommendations.

Knowledge, beliefs, and health care practices relating to treatment of HIV in Vellore, India.

In India, little is known about health care-seeking behavior among HIV-infected individuals. Similarly, little is known about how HIV is being treated in the community, in particular by Indian Systems of Medicine (ISM) providers. Therefore, while ART implementation programs continue to expand, it is important to determine whether the knowledge, attitudes, and treatment practices of HIV-infected individuals and their health care providers are aligned with current treatment recommendations. We conducted in-depth qualitative interviews with persons with HIV (n = 9 men and 17 women), family members of persons with HIV (n = 14 men and 3 women), and ISM providers (n = 7). Many of the patients we studied turned at some point to ISM providers because they believed that such practitioners offer a cure for HIV. ISM treatments sometimes had negative impacts including side effects, unchecked progression of an underlying illness, and financial depletion. Indian women tended to be less knowledgeable about HIV and HIV treatments, and had less access to financial and other resources, than men. Finally, most of the ISM providers reported dangerous misconceptions about HIV transmission, diagnosis, and treatment. While the existence of ART in India is potentially of great benefit to those with HIV infection, this study shows that a variety of social, cultural and governmental barriers may interfere with the effective use of these therapies. Partnerships between the allopathic and traditional/complementary health sectors in research, policy, and practice are essential in building comprehensive HIV/AIDS treatment strategies.

Evolution and predictors of change in total bone mineral density over time in HIV-infected men and women in the nutrition for healthy living study.

BACKGROUND: Osteopenia is common in the era of effective antiretroviral therapy (ART), yet the etiology is unclear. We evaluated the association of host factors, disease severity, and ART to changes in total body bone mineral density (total BMD) over time in HIV-infected men (n = 283) and women (n = 96). METHODS: Total BMD was measured annually by whole-body dual-energy absorptiometry (DXA), and medical, dietary, and behavioral history was collected. The median time from first to last DXA was 2.5 years (range 0.9-6.8 years). Using a repeated measures regression model, we identified variables independently associated with percent change in total BMD between consecutive DXA exams (n = 799 intervals), adjusted for age, race, sex, menopause, and smoking. We estimated percent change in total BMD over an average interval (1 year) standardized for representative levels of each determinant in males, premenopausal women, and postmenopausal women. RESULTS: Median baseline age, CD4, and viral load were 42 years, 364 cells per cubic millimeter, and 2.7 log10 copies per milliliter, respectively. The estimated change in total BMD for those not on ART was -0.37% per year [95% confidence interval (CI) -0.76 to -0.02] for men, -0.08% per year (95% CI -0.49 to 0.33) for premenopausal women, and -1.07% per year (95% CI -1.86 to -0.28) for postmenopausal women. Greater loss of total BMD was associated with lower albumin, lower body mass index, prednisone/hydrocortisone use, tenofovir use, and longer duration of didanosine. Strength training and long duration of d4T and saquinavir prevented or mitigated bone loss. For those on ART for 3 years (not including the above agents), the rate of loss was -0.57% per year (95% CI -1.00 to -0.14) for men, -0.28% (95% CI -0.71 to 0.15) for premenopausal women, and -1.27% (95% CI -2.07 to -0.47) for postmenopausal women. Postmenopausal women had greater loss than premenopausal women and men. CONCLUSIONS: Low body weight, low albumin, catabolic steroid use, and menopause may accelerate bone loss, and strength training may be protective. Tenofovir and didanosine may also have a deleterious effect on BMD.