Recruiting people with HIV to an online self-management support randomised controlled trial: barriers and facilitators.

Background Recruitment of people to randomised trials of online interventions presents particular challenges and opportunities. The aim of this study was to evaluate factors associated with the recruitment of people with HIV (PWHIV) and their doctors to the HealthMap trial, a cluster randomised trial of an online self-management program. METHODS: Recruitment involved a three-step process. Study sites were recruited, followed by doctors caring for PWHIV at study sites and finally PWHIV. Data were collected from study sites, doctors and patient participants. Factors associated with site enrolment and patient participant recruitment were investigated using regression models. RESULTS: Thirteen study sites, 63 doctor participants and 728 patient participants were recruited to the study. Doctors having a prior relationship with the study investigators (odds ratio (OR) 13.3; 95% confidence interval (CI) 3.0, 58.7; P = 0.001) was positively associated with becoming a HealthMap site. Most patient participants successfully recruited to HealthMap (80%) had heard about the study from their HIV doctor. Patient enrolment was associated with the number of people with HIV receiving care at the site (ß coefficient 0.10; 95% CI 0.04, 0.16; P = 0.004), but not with employing a clinic or research nurse to help recruit patients (ß coefficient 55.9; 95% CI -2.55, 114.25; P = 0.06). CONCLUSION: Despite substantial investment in online promotion, a previous relationship with doctors was important for doctor recruitment, and doctors themselves were the most important source of patient recruitment to the HealthMap trial. Clinic-based recruitment strategies remain a critical component of trial recruitment, despite expanding opportunities to engage with online communities.

An investigation of the cost of food in the Geelong region of rural Victoria: Essential data to support planning to improve access to nutritious food.

ISSUE ADDRESSED: Affordability of a healthy diet is a determinant of nutritional intake and therefore health. This project aimed to measure the cost of healthy foods across a geographically defined region and examine factors related to changing food prices to assist in informing health promotion practice. METHODS: The cost of a healthy food basket was measured using the Victorian Healthy Food Basket tool, in all eligible stores, across five rural local government areas in Western Victoria, Australia in 2014, 2015 and 2016. One-way analysis of variance was used to investigate differences in healthy food basket cost across years. Multivariable linear regression models were constructed to adjust for baseline (2014) cost to determine factors associated with cost. RESULTS: Data were collected from 45 stores in 2014 and 2015 and 48 stores in 2016. The average cost of the healthy food basket was $459 in 2014, $437 in 2015 and $443 in 2016. The cost of the healthy food basket was the highest in stores >15 km from the major regional centre and in areas with only one supermarket (non-cluster) (P < 0.05). All food groups except fruit and vegetables decreased in price between 2014 and 2016. CONCLUSION: This project highlights distance from regional centres and competition as possible factors that influence the cost of healthy food. SO WHAT?: This is valuable insight for health promoters in designing both local level interventions aimed at improving access to healthy food and influencing regional food systems.

The systematic development of a complex intervention: HealthMap, an online self-management support program for people with HIV.

BACKGROUND: Despite persistent calls for HIV care to adopt a chronic care approach, few HIV treatment services have been able to establish service arrangements that prioritise self-management. To prevent cardiovascular and other chronic disease outcomes, the HealthMap program aims to enhance routine HIV care with opportunities for self-management support. This paper outlines the systematic process that was used to design and develop the HealthMap program, prior to its evaluation in a cluster-randomised trial. METHODS: Program development, planning and evaluation was informed by the PRECEDE-PROCOEDE Model and an Intervention Mapping approach and involved four steps: (1) a multifaceted needs assessment; (2) the identification of intervention priorities; (3) exploration and identification of the antecedents and reinforcing factors required to initiate and sustain desired change of risk behaviours; and finally (4) the development of intervention goals, strategies and methods and integrating them into a comprehensive description of the intervention components. RESULTS: The logic model incorporated the program's guiding principles, program elements, hypothesised causal processes, and intended program outcomes. Grounding the development of HealthMap on a clear conceptual base, informed by the research literature and stakeholder's perspectives, has ensured that the HealthMap program is targeted, relevant, provides transparency, and enables effective program evaluation. CONCLUSIONS: The use of a systematic process for intervention development facilitated the development of an intervention that is patient centred, accessible, and focuses on the key determinants of health-related outcomes for people with HIV in Australia. The techniques used here may offer a useful methodology for those involved in the development and implementation of complex interventions.

Communicating health-Optimising young adults' engagement with health messages using social media: Study protocol.

BACKGROUND: Obesity is a global health problem. Understanding how to utilise social media (SM) as a platform for intervention and engagement with young adults (YAs) will help the practitioners to harness this media more effectively for obesity prevention. AIM: Communicating health (CH) aims to understand the use of SM by YAs, including Aboriginal YAs, and in doing so will improve the effectiveness of SM strategies to motivate, engage and retain YAs in interventions to reduce the risk of obesity, and identify and disseminate effective ways for health professionals to deliver obesity prevention interventions via SM. METHODS: The present study describes the theoretical framework and methodologies for the CH study, which is organised into four interrelated phases, each building on the outcomes of preceding phases. Phase 1 is a mixed methods approach to understand how YAs use SM to navigate their health issues, including healthy eating. Phase 2 utilises co-creation workshops where YAs and public health practitioners collaboratively generate healthy eating messages and communication strategies. Phase 3 evaluates these messages in a real-world setting. Phase 4 is the translation phase where public health practitioners use outcomes from CH to inform future strategies and to develop tools for SM for use by stakeholders and the research community. DISCUSSION: The outcomes will include a rich understanding of psychosocial drivers and behaviours associated with healthy eating and will provide insight into the use of SM to reach and influence the health and eating behaviours of YAs.

Social media use for nutrition outcomes in young adults: a mixed-methods systematic review.

BACKGROUND: Social media has been widely adopted by young adults, consequently health researchers are looking for ways to leverage this engagement with social media for the delivery of interventions and health promotion campaigns. Weight gain and sub-optimal dietary choices are common in young adults, and social media may be a potential tool to facilitate and support healthier choices. METHODS: We conducted a mixed-methods systematic review of studies examining social media use for nutrition-related outcomes in young adults. Seven databases [EBscohost, ERIC, ProQuest Central, PubMed, Ovid, Scopus, and Emerald] were systematically searched; 1225 abstracts were screened, and 47 full-text articles were assessed for eligibility. Study designs included both quantitative, such as experimental and observational studies, and qualitative, such as focus groups and interviews, approaches. Quality was assessed using the Mixed Methods Appraisal Tool. Quantitative and qualitative results were examined separately, and then synthesized. RESULTS: Twenty-one studies were included although their use of social media was highly variable. The main purpose of social media was to provide information and social support to participants. In the nine randomized controlled trials, social media was used as one aspect of a multi-faceted intervention. Interventions had a positive statistically significant impact on nutritional outcomes in 1/9 trials. Engagement with the social media component of interventions varied, from 3 to 69%. Young adults appear to be open to receiving healthy eating and recipe tips through social media, however, they are reluctant to share personal weight-related information on their online social networks. CONCLUSIONS: Information-dissemination is now an acceptable use of social media by young adults. Using social media effectively for social support, either via private groups or public pages, requires careful evaluation as its effectiveness is yet to be demonstrated in experimental designs. Concerns about public social media use may be a contributing factor to poor engagement with social media in research intervention studies aimed at influencing weight. Future research should consider how to best engage with young adults using social media, how to more effectively use social media to support young adults and to facilitate social and peer-to-peer support in making healthier choices.

HealthMap: a cluster randomised trial of interactive health plans and self-management support to prevent coronary heart disease in people with HIV.

BACKGROUND: The leading causes of morbidity and mortality for people in high-income countries living with HIV are now non-AIDS malignancies, cardiovascular disease and other non-communicable diseases associated with ageing. This protocol describes the trial of HealthMap, a model of care for people with HIV (PWHIV) that includes use of an interactive shared health record and self-management support. The aims of the HealthMap trial are to evaluate engagement of PWHIV and healthcare providers with the model, and its effectiveness for reducing coronary heart disease risk, enhancing self-management, and improving mental health and quality of life of PWHIV. METHODS/DESIGN: The study is a two-arm cluster randomised trial involving HIV clinical sites in several states in Australia. Doctors will be randomised to the HealthMap model (immediate arm) or to proceed with usual care (deferred arm). People with HIV whose doctors are randomised to the immediate arm receive 1) new opportunities to discuss their health status and goals with their HIV doctor using a HealthMap shared health record; 2) access to their own health record from home; 3) access to health coaching delivered by telephone and online; and 4) access to a peer moderated online group chat programme. Data will be collected from participating PWHIV (n = 710) at baseline, 6 months, and 12 months and from participating doctors (n = 60) at baseline and 12 months. The control arm will be offered the HealthMap intervention at the end of the trial. The primary study outcomes, measured at 12 months, are 1) 10-year risk of non-fatal acute myocardial infarction or coronary heart disease death as estimated by a Framingham Heart Study risk equation; and 2) Positive and Active Engagement in Life Scale from the Health Education Impact Questionnaire (heiQ). DISCUSSION: The study will determine the viability and utility of a novel technology-supported model of care for maintaining the health and wellbeing of people with HIV. If shown to be effective, the HealthMap model may provide a generalisable, scalable and sustainable system for supporting the care needs of people with HIV, addressing issues of equity of access. TRIAL REGISTRATION: Universal Trial Number (UTN) U111111506489; ClinicalTrial.gov Id NCT02178930 submitted 29 June 2014.

Vitamin D deficiency is common in HIV-infected southern Australian adults.

BACKGROUND: Vitamin D deficiency can have serious health consequences and may be particularly important for those living with HIV. It is unknown whether HIV infection is a risk factor for vitamin D deficiency. The aim of the study was to determine whether vitamin D deficiency is more common in HIV-infected than in HIV-uninfected individuals. METHODS: This was a cross-sectional study of HIV-infected and uninfected individuals. A total of 997 HIV-infected participants were from a sexual health clinic in Melbourne with 25(OH)D measurements taken between 2008 and 2012. 3,653 HIV-uninfected individuals were participants in a statewide Victorian survey with 25(OH)D measurements taken between 2009 and 2010. Logistic regression models evaluated the association of HIV status with vitamin D deficiency (25[OH]D<50 nmol/l). RESULTS: The frequency of vitamin D deficiency was significantly more common in HIV-infected (39% [95% CI 36%, 42%]) compared with HIV-uninfected individuals 23% (95% CI 15%, 31%). In multivariable analysis, males (adjusted odds ratio [aOR] 0.8; 95% CI 0.6, 0.9; P=0.001), Caucasian country of origin (aOR 0.4; 95% CI 0.3, 0.4; P<0.001), summer/autumn (aOR for autumn 0.2; 95% CI 0.1, 0.3; P<0.001), total cholesterol to high-density lipoprotein ratio >5 (aOR 1.4; 95% CI 1.2, 1.8; P<0.001) and HIV infection (aOR 1.7; 95% CI 1.4, 2.1; P<0.001) were associated with vitamin D deficiency. CONCLUSIONS: Adults living in southern Australia with HIV were more likely to be vitamin D deficient than the general population.

Testing for HIV among men who have sex with men needs a paradigm shift in Australia, given the minimal increase between 2003 and 2013 in Melbourne, Australia.

UNLABELLED: Background Increasing the frequency of HIV testing in men who have sex with men (MSM) will reduce the incidence of HIV. Trends in HIV testing among MSM in Melbourne, Australia over the last 11 years have been investigated. METHODS: A retrospective study was conducted using electronic medical records of the first presentation of MSM who attended the Melbourne Sexual Health Centre between 2003 and 2013. Factors associated with HIV testing (year, demographic characteristics and sexual practices) were examined in multivariable logistic regression analyses. Jonckheere-Terpstra tests were used to examine the significance of trends in the mean time since the last HIV test. RESULTS: Of 17578 MSM seen; 13489 attended for the first time during the study period. The proportion of first attendances who had previously tested and reported a HIV test in the last 12 months increased from 43.6% in 2003 to 56.9% in 2013 (adjusted ptrend=0.030), with a corresponding decrease in median time since the last HIV test from 19 months [interquartile range (IQR) 6-42] in 2003 to 10 months (IQR4-24) in 2013 (ptrend <0.001). The proportion of high-risk MSM (who reported unprotected anal intercourse and/or >20 partners in 12 months) who reported an HIV test in the last 12 months was unchanged (ptrend = 0.242). CONCLUSIONS: Despite HIV testing becoming more frequent, the magnitude of change over the last decade is insufficient to substantially reduce HIV incidence. A paradigm shift is required to remove barriers to testing through strategies such as point-of-care rapid testing or access to testing without seeing a clinician.

Vitamin D Deficiency May Be Associated with a More Rapid Decline in CD4 Cell Count to <350 Cells/µL in Untreated HIV-Infected Adults.

OBJECTIVES: Low vitamin D status is associated with both increased disease progression and mortality in people with HIV receiving antiretroviral therapy (ART). However, data are lacking on effects of vitamin status on disease progression and CD4 cell count in people with HIV not receiving ART. We therefore evaluated effects of vitamin D deficiency (serum 25-hydroxyvitamin D [25(OH)D] <50 nmol/L) on the decline in CD4 cell count in people with HIV not receiving ART. METHODS: A retrospective cohort study including people with HIV not receiving ART and with an HIV viral load of >400 copies/mL. A proportional hazards model was fitted to evaluate the effect of vitamin D status on the time to decline in CD4 cell count (<350 cells/µL), adjusted for nadir CD4 cell count, time since HIV diagnosis, previous ART use and HIVviral load. RESULTS: 224 participants fulfilled the inclusion criteria and were followed for a median of 11 months (range or IQR). At baseline, 42% had vitamin D deficiency and the median (interquartile range) CD4 cell count was 502 (355, 662) cells/µL. HIV-infected individuals with vitamin D deficiency had an increased risk of CD4 decline to <350 cells/µL [Hazard ratio (HR) 2.15 (95% CI 1.05, 4.38, p=0.04)]. CONCLUSION: Vitamin D deficiency was independently associated with an increased time to decline in CD4 cell count to <350 cells/µL, but not with a change in CD4 overall in people with HIV not receiving ART.

Ultraviolet index and location are important determinants of vitamin D status in people with human immunodeficiency virus.

This study aimed to document the vitamin D status of HIV-infected individuals across a wide latitude range in one country and to examine associated risk factors for low vitamin D. Using data from patients attending four HIV specialist clinics across a wide latitude range in Australia, we constructed logistic regression models to investigate risk factors associated with 25(OH)D < 75 nmol L(-1). 1788 patients were included; 87% were male, 76% Caucasian and 72% on antiretroviral therapy. The proportion with 25(OH)D < 50 nmol L(-1) was 27%, and <75 nmol L(-1) was 54%. Living in Melbourne compared with Cairns (adjusted odds ratio (aOR) 3.30; 95% CI 2.18, 4.99, P < 0.001) and non-Caucasian origin (aOR 2.82, 95% CI 2.12, 3.75, P < 0.001) was associated with an increased risk, while extreme UV index compared with low UV index was associated with a reduced risk (aOR 0.33; 95% CI 0.20, 0.55, P < 0.001) of 25(OH)D < 75 nmol L(-1). In those with biochemistry available (n = 1117), antiretroviral therapy was associated with 25(OH)D < 75 nmol L(-1); however, this association was modified by serum cholesterol status. Location and UV index were the strongest factors associated with 25(OH)D < 75 nmol L(-1). Cholesterol, the product of an alternative steroid pathway with a common precursor steroid, modified the effect of antiretroviral therapy on serum 25(OH)D.