The Effectiveness of Randomized Controlled Trials to Improve Dietary Intake in the Context of Cardiovascular Disease Prevention and Management in Rural Communities: A Systematic Review

Healthy rural hearts: The feasibility of a telehealth nutrition randomised controlled trial for rural people at risk of cardiovascular disease

INTRODUCTION

Improving dietary patterns using medical nutrition therapy delivered via telehealth could make an effective contribution to reducing cardiovascular disease burden in rural Australia. However, it is important that medical nutrition therapy programmes are developed in collaboration with rural stakeholders, to increase feasibility for the rural context and the likelihood of successful implementation. The aim of this study was to evaluate the preliminary feasibility outcomes of integration (implementation), practicality, acceptability, demand, and preliminary effectiveness at the 3-month timepoint of the Healthy Rural Hearts randomised control trial.

METHODS

Feasibility measures were collected from participants in the Healthy Rural Hearts medical nutrition therapy trial. Study participants were patients from eligible primary care practices who had been assessed by their general practitioner as being at moderate to high risk of developing cardiovascular disease in the next five years. The sample in this analysis includes those who had completed the first 3-months of the study. Feasibility outcomes were measured over the first 3-months of the trial intervention. A process evaluation survey was used to collect measures relating to intervention implementation, practicality, acceptability, and demand. Completion rates of the Australian Eating Survey Heart version, Personalised Nutrition Questionnaire, pathology tests and telehealth medical nutrition therapy consultations delivered by Accredited Practising Dietitians were also used to measure intervention practicality. Preliminary effectiveness was evaluated by comparing the intervention group's dietary change, measured using Australian Eating Survey Heart with data from the control group.

RESULTS

A total of 105 participants (75 intervention, 30 control participants) were eligible for inclusion in analysis. Attendance rates at the first 3-months of dietitian consultations ranged from 94.7% to 89.3% between the first and 3-month consultations, and most participants were able to complete the Australian Eating Survey Heart and Personalised Nutrition Questionnaire prior to their initial consultation [Australian Eating Survey Heart (n = 57, 76%) and Personalised Nutrition Questionnaire (n = 61, 81.3%)] and the Australian Eating Survey Heart prior to their 3-month consultation (n = 52, 69.3%). Of the participants who completed a pathology test at the 3-month time-point (n = 54, 72%), less than half were able to do so prior to their dietitian consultation (n = 35, 46.7%). Of the 75 intervention participants, 28 (37.3%) completed the process evaluation survey. Intervention participants ranked acceptability of the Healthy Rural Hearts intervention highly (mean rank out of 10 = 9.5, SD 1.9), but provided mixed responses on whether they would access the intervention outside of the study (mean rank out of 10 = 6.0, SD 3.5). There were statistically significant increases in percentage total energy intake derived from nutrient-dense core foods compared to the control group (p ≤ 0.05).

DISCUSSION

The positive findings related to acceptability and implementation outcomes suggest that the Healthy Rural Hearts intervention was acceptable, practical, and able to be implemented within this population living in rural NSW. This, combined with the small to medium effect size in the proportion of total energy derived from nutrient-dense core foods compared to the control group indicates that long-term intervention effectiveness on other cardiovascular disease outcomes is important to evaluate in the future.

Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis

BACKGROUND

Lifestyle choices, metformin, and dietary supplements may prevent GDM, but the effect of intervention characteristics has not been identified. This review evaluated intervention characteristics to inform the implementation of GDM prevention interventions.

METHODS

Ovid, MEDLINE/PubMed, and EMBASE databases were searched. The Template for Intervention Description and Replication (TIDieR) framework was used to examine intervention characteristics (who, what, when, where, and how). Subgroup analysis was performed by intervention characteristics.

RESULTS

116 studies involving 40,940 participants are included. Group-based physical activity interventions (RR 0.66; 95% CI 0.46, 0.95) reduce the incidence of GDM compared with individual or mixed (individual and group) delivery format (subgroup p-value = 0.04). Physical activity interventions delivered at healthcare facilities reduce the risk of GDM (RR 0.59; 95% CI 0.49, 0.72) compared with home-based interventions (subgroup p-value = 0.03). No other intervention characteristics impact the effectiveness of all other interventions.

CONCLUSIONS

Dietary, physical activity, diet plus physical activity, metformin, and myoinositol interventions reduce the incidence of GDM compared with control interventions. Group and healthcare facility-based physical activity interventions show better effectiveness in preventing GDM than individual and community-based interventions. Other intervention characteristics (e.g. utilization of e-health) don't impact the effectiveness of lifestyle interventions, and thus, interventions may require consideration of the local context.

Improvements in dietary intake, behaviors, and psychosocial measures in a community-randomized cardiovascular disease risk reduction intervention: Strong Hearts, Healthy Communities 2.0

BACKGROUND

Cardiovascular disease (CVD) prevalence has disproportionately risen among midlife and older female adults of rural communities, partly due to poor diet and diet-related behaviors and psychosocial factors that impede healthy eating.

OBJECTIVES

This study aimed to evaluate the impact of Strong Hearts Healthy Communities 2.0 (SHHC-2.0) on secondary diet-related outcomes between intervention and control participants that align with the dietary goal and behavioral aims of the SHHC-2.0, a CVD risk reduction program.

METHODS

A community-randomized controlled trial was conducted in rural, medically underserved communities. Participants were female adults ≥40 y who were classified as obese or both overweight and sedentary. Communities were randomized to SHHC-2.0 intervention (n = 5 communities; n = 87 participants) or control (with delayed intervention) (n = 6 communities; n = 95 participants). SHHC-2.0 consisted of 24 wk of twice-weekly experiential nutrition education and group-based physical activity classes led by local health educators. Changes between baseline and end point (24 wk) in dietary intake (24-h recalls), dietary behaviors (e.g., Rapid Eating Assessment for Participants-Short Version [REAP-S] scores) and diet-related psychosocial measures (e.g., Three Factor Eating questionnaire) between groups were analyzed using linear mixed-effects multilevel models.

RESULTS

At 24 wk, participants from the 5 intervention communities, compared with controls, consumed fewer calories (mean difference [MD]= -211 kcal, 95% CI: -412, -110, P = 0.039), improved overall dietary patterns measured by REAP-S scores (MD: 3.9; 95% CI: 2.26, 5.6; P < 0.001), and improved psychosocial measures (healthy eating attitudes, uncontrolled eating, cognitive restraint, and emotional eating).

CONCLUSIONS

SHHC-2.0 has strong potential to improve diet patterns and diet-related psychosocial wellbeing consistent with improved cardiovascular health. This trial was registered at www.

CLINICALTRIALS

gov as NCT03059472.

Rural nutrition and dietetics research-Future directions

AIM

The aim of this study was to summarise key evidence from recent Australian rural nutrition research and provide recommendations for future nutrition and dietetics research with rural communities.

CONTEXT

Clear evidence demonstrates that diet plays a role in the health gap between rural and metropolitan Australia. Despite the opportunity to address the health of rural Australians through better nutrition, alarmingly low investment in nutrition and dietetics research has occurred historically, and over the past decade.

APPROACH

A review of the evidence was undertaken by rural nutrition and dietetics leaders to provide a commentary piece to inform future rural nutrition research efforts.

CONCLUSION

Establishing strong, collaborative place-based nutrition and dietetics research teams are necessary to combat the significant gaps in the scientific knowledge of solutions to improve nutrition in rural Australia. Further, dieticians and nutritionists who live in and understand the rural contexts are yet to be fully harnessed in research, and better engaging with these professionals will have the best chance of successfully addressing the nutrition-related disease disparity between rural and metropolitan Australia.

Developing a telehealth medical nutrition therapy (MNT) service for adults living in rural Australia at risk of cardiovascular disease: An intervention development study

BACKGROUND

Receiving medical nutrition therapy (MNT) from an accredited practising dietitian (APD) can reduce diet-related cardiovascular disease (CVD) risk factors. However, people living in rural areas of Australia experience barriers to accessing dietitians because of their remote location. Telehealth has the potential to improve dietetic access in rural areas; however, there is limited research into the development and delivery of telehealth MNT interventions specific to these areas. The present study describes the development of the Healthy Rural Hearts (HealthyRHearts) telehealth MNT intervention, which was developed as a part of the HealthyRHearts randomised control trial, set in primary care practices in rural areas of the Hunter New England and Central Coast Primary Health Network. The aim of HealthyRHearts is to improve diet-related risk factors for CVD in rural adults at moderate to high CVD risk using a telehealth MNT intervention delivered by an APD.

METHODS

The study describes the development of the HealthyRHearts telehealth MNT intervention, using the 14-item GUIDance for rEporting of intervention Development (GUIDED) checklist and the Template for Intervention Description and Replication (TIDieR) framework to guide description.

RESULTS

HealthyRHearts is a complex intervention that aims to translate a telehealth MNT intervention for CVD prevention into rural and remote primary care settings. The intervention is designed to be implemented across multiple sites of varying characteristics and needs, with the ability to accommodate individual complexities within the rural context and target population. Participants are adults aged 45-75 years who are assessed as moderate to high risk of CVD by their general practitioner (GP). Consenting participants are referred to the intervention by their GPs and receive five telehealth MNT consultations with an APD over 6-months. APDs are trained in the intervention protocol including intervention materials, resources and behaviour change counselling strategies.

CONCLUSION

Using the GUIDED and TIDieR frameworks to guide description of the HealthyRHearts intervention development process facilitates detailed description of decision-making pathways for each element of the intervention design. The comprehensive description of the intervention development process for HealthyRHearts is intended to facilitate replication, iteration and optimisation of the intervention for rural contexts.

HealthyRHearts - reducing cholesterol in rural adults via telehealth-based medical nutrition therapy: protocol for a cluster randomised controlled trial

BACKGROUND

Few randomised controlled trials specifically focus on prevention in rural populations. Cardiovascular disease (CVD) contributes to approximately one quarter of deaths in Australia. Nutrition is a key component affecting many risk factors associated with CVD, including hypercholesterolaemia. However, access to medical nutrition therapy (MNT) is limited for people living in rural areas, potentially exacerbating inequities related to health outcomes. Telehealth services present an opportunity to improve MNT access and address healthcare disparities for rural populations. The present study aims to evaluate feasibility, acceptability, and cost-effectiveness of a telehealth MNT CVD intervention program in lowering CVD risk over 12-months in regional and rural primary health care settings.

METHODS/DESIGN

A cluster randomised controlled trial set in rural and regional general practices in NSW, Australia, and their consenting patients (n = 300 participants). Practices will be randomised to either control (usual care from their General Practitioner (GP) + low level individualised dietetic feedback) or intervention groups (usual care from their GP + low level individualised dietetic feedback + telehealth MNT intervention). Telehealth consultations will be delivered by an Accredited Practising Dietitian (APD), with each intervention participant scheduled to receive five consultations over a 6-month period. System-generated generic personalised nutrition feedback reports are provided based on completion of the Australian Eating Survey - Heart version (AES-Heart), a food frequency questionnaire. Eligible participants must be assessed by their GP as at moderate (≥ 10%) to high (> 15%) risk of a CVD event within the next five years using the CVD Check calculator and reside in a regional or rural area within the Hunter New England Central Coast Primary Health Network (HNECC PHN) to be eligible for inclusion. Outcome measures are assessed at baseline, 3, 6 and 12 months. The primary outcome is reduction in total serum cholesterol. Evaluation of the intervention feasibility, acceptability and cost-effective will incorporate quantitative, economic and qualitative methodologies.

DISCUSSION

Research outcomes will provide knowledge on effectiveness of MNT provision in reducing serum cholesterol, and feasibility, acceptability, and cost-effectiveness of delivering MNT via telehealth to address CVD risk in rural regions. Results will inform translation to health policy and practice for improving access to clinical care in rural Australia.

TRIAL REGISTRATION

This trial is registered at anzctr.org.au under the acronym HealthyRHearts (Healthy Rural Hearts), registration number ACTRN12621001495819.

Understanding weight status and dietary intakes among Australian school children by remoteness: a cross-sectional study

OBJECTIVE

To determine whether primary school children's weight status and dietary behaviours vary by remoteness as defined by the Australian Modified Monash Model (MMM).

DESIGN

A cross-sectional study design was used to conduct secondary analysis of baseline data from primary school students participating in a community-based childhood obesity trial. Logistic mixed models estimated associations between remoteness, measured weight status and self-reported dietary intake.

SETTING

Twelve regional and rural Local Government Areas in North-East Victoria, Australia.

PARTICIPANTS

Data were collected from 2456 grade 4 (approximately 9-10 years) and grade 6 (approximately 11-12 years) students.

RESULTS

The final sample included students living in regional centres (17·4 %), large rural towns (25·6 %), medium rural towns (15·1 %) and small rural towns (41·9 %). Weight status did not vary by remoteness. Compared to children in regional centres, those in small rural towns were more likely to meet fruit consumption guidelines (OR: 1·75, 95 % CI (1·24, 2·47)) and had higher odds of consuming fewer takeaway meals (OR: 1·37, 95 % CI (1·08, 1·74)) and unhealthy snacks (OR = 1·58, 95 % CI (1·15, 2·16)).

CONCLUSIONS

Living further from regional centres was associated with some healthier self-reported dietary behaviours. This study improves understanding of how dietary behaviours may differ across remoteness levels and highlights that public health initiatives may need to take into account heterogeneity across communities.