Abstract
Both congestive heart failure and chronic obstructive pulmonary disease are more common among Māori than non-Māori people, and the cultural acceptability of home-based remote monitoring technology has not been tested. We conducted a 12-month pilot trial of home telemonitoring. Patients were randomly assigned to the control and intervention groups. Patients in the control group showed no clear differences in quality of life at the end of the trial. The telehealth group showed a consistent trend towards improved quality of life on several instruments, including the SF-36, the St George Respiratory Questionnaire and the K10 questionnaire; the improvement in the latter was significant. Hospitalizations were reduced in both the control (−19%) and telehealth group (−25%). Patient interviews indicated that the technology was acceptable to most patients and their families, including the Māori. The results from the pilot trial suggest that wider implementation with a cost benefit evaluation could be worthwhile.
Introduction
In New Zealand, chronic conditions are the leading cause of hospitalizations. 1 They account for 80% of all preventable deaths and are estimated to consume the major proportion of our health-care funds. 2 Chronic conditions contribute to the disparity in life expectancy between Māori and non-Māori people. They also account for a higher proportion of illness and deaths among people on low incomes and Pacific peoples than among the general population. 2
Studies have shown that remote telemonitoring can reduce mortality, reduce hospitalizations, improve quality of life and decrease health-care costs. 3–10 One large study, 11 a multicentre randomized study which included 460 people, showed significant reductions in hospital readmissions (hazard ratio 0.50; 95% CI 0.34, 0.73) and a probable reduction in mortality (hazard ratio 0.45; 95% CI 0.19, 1.03) in people with congestive heart failure (CHF). Other large studies have often found at least one significant improvement in measures such as hospital readmissions, ED attendances and physician contacts. Most studies have found a high level of patient satisfaction with the technology.
Recently, a Cochrane review of 25 studies evaluated structured telephone support and telemonitoring in the management of patients with CHF. 12 The review concluded that telemonitoring reduced all-cause mortality (relative risk 0.66, P < 0.0001) and reduced CHF-related hospitalizations (relative risk 0.79; P = 0.0008). However, little is known about the acceptability, utility or cost-effectiveness of telehealth services in a New Zealand context. Both CHF and chronic obstructive pulmonary disease (COPD) are more common among Māori than non-Māori people, and the cultural acceptability of home-based remote monitoring technology has not been tested.
In order to test the acceptability and utility of telehealth monitoring in a NZ environment, a 12-month pilot involving the trial of 10 telemonitoring machines in Turangi and Taupo was conducted. The objectives of the pilot trial were to:
Investigate the acceptability and usefulness of telehealth technology for Māori and other users with CHF or COPD in a rural New Zealand environment; Investigate the effect on health outcomes of telehealth monitoring and early intervention; Investigate the effect of telehealth monitoring and early intervention on health service utilization and models of care; Provide information about the future use of telehealth systems in chronic care management programmes in New Zealand.
Methods
Patients living in the Turangi or Taupo areas, who had been discharged from hospital in the previous 12–24 months with a diagnosis of CHF or CODP, were recruited and assigned randomly to either a control or intervention group. Proportions of Māori/non-Māori people, and COPD/CHF were balanced approximately between the telehealth and control groups by allocating them alternately to either a control or intervention group according to surname. There were 10 patients in each group at commencement and at six months, with additional recruitment at six months on a matched basis to replace those who died or withdrew. The pilot lasted from 1 October 2009 to September 2010. The study was approved by the appropriate ethics committee.
Patients in the intervention group had a telehealth terminal installed in their home, with an online link to a web portal that was reviewed regularly by local nurses, supported by clinical algorithms. The telehealth terminal comprised a touch-screen computer with a range of measurement peripherals. The machines enabled people to measure their own bodyweight, oxygen levels, lung function, blood pressure and other clinical signs (Figure 1). The results were transmitted over ordinary telephone lines to a central computer and included in a web-based patient record. Chronic care management nurses used the online patient record to monitor patients and to decide whether to contact patients for clinical intervention.

The telehealth unit used in the pilot programme
Patients in the control group did not receive the telehealth machine, but both groups of patients received, in addition to usual care through their primary care provider, the Healthright nurse-led disease management programme, which involved regular home visiting and systematic assessment and care planning.
The telehealth machines were used to deliver the quality of life questionnaires at pilot commencement, six months and 12 months. Both intervention and control patients were brought together in a central location in Taupo for this purpose.
Evaluation
The evaluation followed a mixed methods approach. Data were obtained from:
The telehealth website to obtain patient quality of life and clinical indicator data (blood pressure, bodyweight, oximetry, FEV); Regional funding authorities to obtain service utilization data (admissions, primary care attendances, emergency department attendances, days in hospital, mortality); Interviews of both patients and health-care staff about the acceptability and usefulness of the telehealth technology from a user perspective.
Results
The pilot study showed that remote monitoring technology could be successfully applied in a rural New Zealand community to aid chronic disease management. Patient interviews indicated that the technology was acceptable to most patients and their families, including the Māori. Comments suggested that easy access to telehealth monitoring facilitated self management through a deeper understanding of the disease and quick feedback.
People with diabetes or CHF gained insight into how aspects of their life affected their condition, and the relationship between medication doses and the clinical measurements. Some reported that family members felt more confident because of the monitor in the house. The comments suggested that Māori patients adopted the telehealth technology readily, and looked positively at ways to involve other members of the family in the management of their condition. Staff also found the equipment useful. Some reservations were expressed about the telehealth machine, which were mainly to do with its bulky nature.
Telehealth remote monitoring probably improved patient quality of life in the target group. The telehealth group showed a consistent trend towards improved self-reported quality of life on several quality of life instruments including the SF-36, the St George Respiratory Questionnaire and the K10 questionnaire. Patients in the control group, in contrast, showed no clear trend towards improvement. Despite the small sample size, the difference in the K10 scores was significant (P < 0.02), see Table 1.
Quality of life scores
Patients also commented that they generally found the access to continuous home monitoring resulted in improved confidence, quality of life and in their ability to manage their condition. Most patients felt reassured by the presence of the monitor in their home and reported an increased sense of confidence and well-being, particularly because their telehealth results were being monitored regularly by the nurse and that the nurse would contact them if worrying trends developed.
The alignment between the interview comments and the quantitative results leads to a higher degree of confidence that the effect is likely to be real.
Life expectancy
At the end of 12 months, there was a substantial but non-significant trend toward reduced mortality in the intervention group, see Table 2. Of the original ten members of the control group, four died during the study period, compared to one of the intervention group. This suggests the possibility of longer survival time in the intervention group. However, the numbers were not significant. Nearly all deaths occurred amongst Maori patients.
Days alive and outside hospital awaiting response
Clinical measures
There were no obvious patterns of change in the mean blood pressure, FEV1, heart rate, blood oximetry and bodyweight for the control and telehealth groups at baseline, six and 12 months.
Service utilization
Inpatient admission rates declined for both the control and telehealth groups. The average number of events across a range of services per patient year is shown in Table 3. Telehealth remote monitoring did not demonstrate benefits in reducing service utilization.
Service utilization. Full ambulance data was only available from St John's for the first six-month period. For the second six-month period the ED dataset was used as a proxy, although this under-represents ambulance callouts, since it excludes calls that did not result in an ED attendance
Discussion
The pilot study demonstrated that remote monitoring can be successfully implemented in a New Zealand community to aid chronic disease management. The technology was warmly welcomed by most patients and their families, including by Māori.
The results from the pilot study suggest a trend towards reduced mortality and improved quality of life in the telehealth group relative to the control group. These findings are consistent with the results of much larger studies elsewhere, which have often found significant positive effects from telemonitoring. Based on the interviews with telehealth patients, it is likely that the access to quick and authoritative information on current health status, and early identification of any downward trend, allowed better patient self management and enabled family members to provide informed care. However, no clear difference was found on clinical measures or on service utilisation between the control and telehealth groups. This may be the consequence of the limited sample size or the Healthright disease management programme masking the effect of telehealth remote monitoring. A comparison between telemonitoring and usual primary care (without the HealthRight disease management service) might establish the relative cost and efficacy of telemonitoring and home visiting-based disease management programmes.
Care should be taken in drawing conclusions from the quantitative data in the present study because of the small sample size. It is not possible to conclude whether telemonitoring is cost effective. However, the pilot suggests that wider implementation with a cost benefit evaluation could be worthwhile.
Footnotes
Acknowledgements
The work was funded by the Lakes District Health Board, Lake Taupo Primary Health Organisation and Healthcare of New Zealand.
