BackgroundThe growing caseload caused by patients with chronic life-long conditions leads to increased needs for health care providers and rising costs of health services, resulting in a heavy burden on health systems, populations and individuals. The professionalised health care for chronic patients common in high income countries is very labour-intensive and expensive. Moreover, the outcomes are often poor. In low-income countries, the scarce resources and the lack of quality and continuity of health care result in high health care expenditure and very poor health outcomes. The current proposals to improve care for chronic patients in low-income countries are still very much provider-centred.The aim of this paper is to show that present provider-centred models of chronic care are not adequate and to propose 'full self-management' as an alternative for low-income countries, facilitated by expert patient networks and smart phone technology.DiscussionPeople with chronic life-long conditions need to 'rebalance' their life in order to combine the needs related to their chronic condition with other elements of their life. They have a crucial role in the management of their condition and the opportunity to gain knowledge and expertise in their condition and its management. Therefore, people with chronic life-long conditions should be empowered so that they become the centre of management of their condition. In full self-management, patients become the hub of management of their own care and take full responsibility for their condition, supported by peers, professionals and information and communication tools.We will elaborate on two current trends that can enhance the capacity for self-management and coping: the emergence of peer support and expert-patient networks and the development and distribution of smart phone technology both drastically expand the possibilities for full self-management.ConclusionPresent provider-centred models of care for people with chronic life-long conditions are not adequate and we propose 'full self-management' as an alternative for low-income countries, supported by expert networks and smart phone technology.

HighlightsReport of a randomised trial on an mHealth intervention in 3 low income countries.There was no additional effect of the text message self-management support.Coverage, routine care and disease progression interfere with the potential impact.

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People consulting at the health service with a more supportive system had better perceived self-efficacy and self-care behavior. Higher knowledge, attitude, and perception scores were noted among those with better self-efficacy perceptions, which was associated with better self-care behavior.

This study shows it possible to maintain a diabetes programme with minimal external resources, offering care and self-management support. It also illustrates that health outcomes of persons with diabetes are determined by their bio-psycho-social characteristics and behaviour, which are each subject to the content of care and the approach to chronic illness and self-management of the programme, in turn influenced by the larger context.

BackgroundPeople with diabetes find it difficult to sustain adequate self-management behaviour. Self-Management Support strategies, including the use of mobile technology, have shown potential benefit. This study evaluates the effectiveness of a mobile phone support intervention on top of an existing strategy in three countries, DR Congo, Cambodia and the Philippines to improve health outcomes, access to care and enablement of people with diabetes, with 480 people with diabetes in each country who are randomised to either standard support or to the intervention.Design/methodsThe study consists of three sub-studies with a similar design in three countries to be independently implemented and analysed. The design is a two-arm Randomised Controlled Trial, in which a total of 480 adults with diabetes participating in an existing DSME programme will be randomly allocated to either usual care in the existing programme or to usual care plus a mobile phone self-management support intervention. Participants in both arms complete assessments at baseline, one year and two years after inclusion.Glycosylated haemoglobin blood pressure, height, weight, waist circumference will be measured. Individual interviews will be conducted to determine the patients’ assessment of chronic illness care, degree of self-enablement, and access to care before implementation of the intervention, at intermediate moments and at the end of the study.Analyses of quantitative data including assessment of differences in changes in outcomes between the intervention and usual care group will be done. A probability of <0.05 is considered statistically significant. Outcome indicators will be plotted over time. All data are analysed for confounding and interaction in multivariate regression analyses taking potential clustering effects into account.Differences in outcome measures will be analysed per country and realistic evaluation to assess processes and context factors that influence implementation in order to understand why it works, for whom, under which circumstances. A costing study will be performed.DiscussionThe intervention addresses the problem that the greater part of diabetes management takes place without external support and that many challenges, unforeseen problems and questions occur at moments in between scheduled contacts with the support system, by exploiting communication technology.Trial registrationISRCTN86247213

Introduction Evidence about mobile health (mHealth) approaches to manage diabetes shows modest effects on outcomes, but little is known about implementation variability. This is a process evaluation of an mHealth intervention to improve diabetes self-management through Short Message Service (SMS) provision in three diabetes care programmes in the Democratic Republic of Congo (DRC), Cambodia and the Philippines. Methods The intervention involved Diabetes Self-Management Support via text messages. The content and process of the intervention is based upon the core principles of diabetes self-management and behaviour theory. In each country, messages were sent by project managers to 240 participants in each country, who were randomly assigned to the intervention group. Contracts were negotiated with national phone providers and open access software was used to send the messages. Participants received a mobile phone and SIM card. We analysed data about the implementation process over a one year period. Results The mean monthly number of messages delivered to recipients' phones was 67.7% of the planned number in DRC, 92.3% in Cambodia and 83.9% in the Philippines. A telephone check revealed problems with one-third of the phones, including breakage, loss and cancelled subscriptions. The number of people reached at least once was 177 (70.0%) in DRC; 147 (60.7%) in Cambodia; five in the Philippines (2.0%). Those reached each time was 144 in DRC (56.9%), 28 (9.9%) in Cambodia, none in the Philippines. People used their phone more frequently than before the intervention. Discussion Implementation of the intervention meets constraints at every step in the process. Barriers relate to the technology, the context and the participants.

ObjectivesTo investigate the effects of implementing a context-adapted diabetes self-management education and support (DSME/S) project based on chronic care models in the Philippines, on knowledge, attitudes, self-management practices, adiposity/obesity and glycaemia of people with diabetes.DesignProspective quasi-experimental before–after study.Participants203 people with type 2 diabetes mellitus from two local government units in the Northern Philippines fulfilling set criteria.Outcome measuresContext-adapted DSME/S was given to a cohort of people with diabetes by trained pre-existing local government healthcare personnel. Changes in knowledge, attitudes and self-management practices, body mass index, waist circumference, waist-hip ratio (WHR) and glycosylated haemoglobin (HbA1c) were measured 1 year after full project implementation. Non-parametric and parametric descriptive and inferential statistics including logistic regression analysis were done.ResultsComplete data were collected from 164 participants. Improvements in glycaemia, waist circumference, WHR, knowledge, some attitudes, adherence to medications and exercise, and an increase in fear of diabetes were significant. Reductions in HbA1c, regardless of level of control, were noted in 60.4%. Significant increase in knowledge (p<0.001), positive attitude (p=0.013), perceived ability to control blood glucose (p=0.004) and adherence to medications (p=0.001) were noted among those whose glycaemia improved. Significant differences between the subgroups whose HbA1c improved and those whose HbA1c deteriorated include male gender (p=0.042), shorter duration of diabetes (p=0.001) and increased perceived ability to control blood glucose (p=0.042). Significant correlates to improved glycaemia were male gender (OR=2.655; p=0.034), duration of diabetes >10 years (OR=0.214; p=0.003) and fear of diabetes (OR=0.490; p=0.048).ConclusionsContext-adapted DSME/S introduced in resource-constrained settings and making use of established human resources for health may improve knowledge, attitudes, self-management practices and glycaemia of recipients. Further investigations on addressing fear of diabetes and tailoring DSME/S to females with diabetes and those who have had diabetes for a longer period of time may help improve glycaemia.