Exploring Telehealth Readiness in a Resource Limited Setting: Digital and Health Literacy among Older People in Rural India (DAHLIA).

An ageing population, disproportionally affecting developing countries, increases demand on healthcare systems. Digital health offers access to healthcare for older people, particularly those residing in rural areas, as is the case for 71% of older adults in India. This research examined technology uptake and digital and health literacy (eHEALS) among a sample of 150 older adults in rural Mysore and Suttur, India. The study utilised mixed-method, with descriptive analysis of quantitative data and thematic analysis of qualitative data. Low rates of digital (11%) and health literacy (3-27% across domains) were identified. Mobile phone ownership was 50%, but very few owned or used a smartphone and less than 10% used the Internet to contact health professionals. Qualitative analysis found low technology usage, driven by limited exposure and confidence in using digital devices. Barriers to usage included poor traditional literacy and physical aspects of ageing like poor vision. Social support from neighbours, family and local primary healthcare staff may enable adoption of digital health. Access to healthcare through digital means among Indian rural older adults needs to consider low rates of both digital and health literacy and leverage the value of support from family and primary healthcare providers.

Telemedicine for Gestational Diabetes Mellitus (TeleGDM): A Mixed-Method Study Protocol of Effects of a Web-Based GDM Support System on Health Service Utilization, Maternal and Fetal Outcomes, Costs, and User Experience.

BACKGROUND: Women with insulin-treated gestational diabetes mellitus (GDM) require close monitoring and support to manage their diabetes. Recent changes to the diagnostic criteria have implications for service provision stemming from increased prevalence, suggesting an increased burden on health services in the future. Telemedicine may augment usual care and mitigate service burdens without compromising clinical outcomes but evidence in GDM is limited. OBJECTIVE: The Telemedicine for Gestational Diabetes Mellitus (TeleGDM) trial aims to explore the use of telemedicine in supporting care and management of women with GDM treated with insulin. METHODS: The TeleGDM is a mixed-methods study comprising an exploratory randomized controlled trial (RCT) and a qualitative evaluation using semistructured interviews. It involves women with insulin-treated GDM who are up to 35 weeks gestation. Participating patients (n=100) are recruited face-to-face in outpatient GDM clinics at an outer metropolitan tertiary hospital with a culturally diverse catchment and a regional tertiary hospital. The second group of participants (n=8) comprises Credentialed Diabetes Educator Registered Nurses involved in routine care of the women with GDM at the participating clinics. The RCT involves use of a Web-based patient-controlled personal health record for GDM data sharing between patients and clinicians compared to usual care. Outcomes include service utilization, maternal and fetal outcomes (eg, glycemic control, 2nd and 3rd trimester fetal size, type of delivery, baby birth weight), diabetes self-efficacy, satisfaction, and costs. Semistructured interviews will be used to examine user experiences and acceptability of telemedicine. RESULTS: The trial recruitment is currently underway. Results are expected by the end of 2016 and will be reported in a follow-up paper. CONCLUSIONS: Innovative use of technology in supporting usual care delivery in women with GDM may facilitate timely access to GDM monitoring data and mitigate care burdens without compromising maternal and fetal outcomes. The intervention may potentially reduce health service utilization. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry (ANZCTR): ACTRN12614000934640; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366740 (Archived by WebCite® at http://www.webcitation.org/6jRiqzjSv).

Relationship between health-related quality of life, comorbidities and acute health care utilisation, in adults with chronic conditions.

BACKGROUND: There is increased interest in developing multidisciplinary ambulatory care models of service delivery to manage patients with complex chronic diseases. These programs are expensive and given limited resources it is important that care is targeted effectively. One potential screening strategy is to identify individuals who report the greatest decrement in health related quality of life (HRQoL) and thus greater need. The aim of this study was to explore the relationship between HRQoL, comorbid conditions and acute health care utilisation. METHODS: A prospective, longitudinal cohort design was used to evaluate the impact of HRQoL on acute care utilisation rates over three-years of follow-up. Participants were enrolled in chronic disease management programs run by a metropolitan health service in Australia. Baseline data was collected from 2007-2009 and follow-up data until 2012. Administrative data was used to classify patients' primary reasons for enrolment, number of comorbidities (Charlson Score) and presentations to acute care. At enrolment, HRQoL was measured using the Assessment of Quality of Life (AQoL) instrument, for analysis AQoL scores were dichotomised at two standard deviations below the population norm. RESULTS: There were 1999 participants (54 % male) with a mean age of 63 years (range 18-101), enrolled in the study. Participants' primary health conditions at enrolment were: diabetes 915 (46 %), chronic respiratory disease 463 (23 %), cardiac disease 260 (13 %), peripheral vascular disease, and 181 (9 %) and aged care 180 (9 %). At 1-year multivariate logistic regression models demonstrated that AQOL utility score was not predictive of acute care presentations after adjusting for comorbidities. Over 3-years an AQoL utility score in the lowest quartile was predictive of both ED presentation (OR 1.58, 95 % CI, 1.16-2.13, p = 0.003) and admissions (OR 1.67, 95 % CI.1.21 to 2.30, p = 0.002) after adjusting for differences in age and comorbidities. CONCLUSION: This study found that both HRQoL and comorbidities were predictive of subsequent acute care attendance over 3-years of follow-up. At 1-year, comorbidities was a better predictor of acute care representation than HRQoL. To maximise benefits, programs should initially focus on medical disease management, but subsequently switch to strategies that enhance health independence and raise HRQoL.

Relationship between health-related quality of life, and acute care re-admissions and survival in older adults with chronic illness.

BACKGROUND: Australia's ageing population means that there is increasing emphasis on developing innovative models of health care delivery for older adults. The assessment of the most appropriate mix of services and measurement of their impact on patient outcomes is challenging. The aim of this evaluation was to describe the health related quality of life (HRQoL) of older adults with complex needs and to explore the relationship between HRQoL, readmission to acute care and survival. METHODS: The study was conducted in metropolitan Melbourne, Australia; participants were recruited from a cohort of older adults enrolled in a multidisciplinary case management service. HRQoL was measured at enrolment into the case-management service using The Assessment of Quality of Life (AQoL) instrument. In 2007-2009, participating service clinicians approached their patients and asked for consent to study participation. Administrative databases were used to obtain data on comorbidities (Charlson Comorbidity Index) at enrolment, and follow-up data on acute care readmissions over 12 months and five year mortality. HRQoL was compared to aged-matched norms using Welch's approximate t-tests. Univariate and multivariate logistic regression models were used to explore which patient factors were predictive of readmissions and mortality. RESULTS: There were 210 study participants, mean age 78 years, 67% were female. Participants reported significantly worse HRQoL than age-matched population norms with a mean AQOL of 0.30 (SD 0.27). Seventy-eight (38%) participants were readmitted over 12-months and 5-year mortality was 65 (31%). Multivariate regression found that an AQOL utility score <0.37 (OR 1.95, 95%CI, 1.03 - 3.70), and a Charlson Comorbidity Index ≥6 (OR 4.89, 95%CI 2.37 - 10.09) were predictive of readmission. Multivariate analysis demonstrated that age ≥80 years (OR 7.15, 95%CI, 1.83 - 28.02), and Charlson Comorbidity Index ≥6 (OR 6.00, 95%CI, 2.82 - 12.79) were predictive of death. CONCLUSION: This study confirms that the AQoL instrument is a robust measure of HRQoL in older community-dwelling adults with chronic illness. Lower self-reported HRQoL was associated with an increased risk of readmission independently of comorbidity and kind of service provided, but was not an independent predictor of five-year mortality.

Impact of a diabetes disease management program on diabetes control and patient quality of life.

The worldwide burden of diabetes is projected to be 5.4% of the adult population by the year 2025. Diabetes is associated with multiple medical complications that both decrease health-related quality of life (HR-QOL) and contribute to earlier mortality. There is growing evidence for the effectiveness of multidisciplinary disease management programs that incorporate self-management principles in improving patients' long-term outcomes. The aim of this project was to evaluate the effectiveness of this approach in improving: (1) glycemic control measured by HbA1c, and (2) HR-QOL measured by the Assessment of Quality of Life (AQOL), at enrollment and at 12-months follow-up. Between 2004 and 2008, a total of 967 patients were enrolled in the program; 545 (56%) of these patients had HbA1c data available at baseline and at 12 months. Mean HbA1c at enrollment was 8.6% (SD 1.9) versus 7.3% (SD 1.2) at 12 months (P<0.001). Overall, 68% of patients experienced improvements in HbA1c. At enrollment, patients reported "fair" HR-QOL, which was significantly lower than age-adjusted population norms who reported "good" HR-QOL. At 12 months, 251 (64%) patients had improved HR-QOL, 27 (7%) had no change, and 114 (29%) deteriorated. Mean utility scores improved by 0.11 (P<0.001), which is almost twice the minimum clinically important difference for the AQOL. This study confirms that a multidisciplinary disease management program for patients with poorly controlled type 2 diabetes can improve both glycemic control and HR-QOL.