Telehealth Can Reduce Deaths and Emergency Hospital Care

For people with long term conditions, telehealth can reduce deaths and help patients avoid the need for emergency hospital care, finds a study published on bmj.com. However, the estimated scale of hospital cost savings is modest and may not be sufficient to offset the cost of the technology, say the authors.

Telehealth uses technology to help people with health problems live more independently at home. For example, equipment to measure blood pressure or blood glucose levels at home can reduce hospital visits. Measurements are electronically transmitted to a health professional.

Several studies have been conducted on the impact of telehealth for people with long term conditions, but findings have been mixed. Some research suggests that telehealth can help patients develop a better understanding of their condition, leading to better quality and more appropriate care, as well as more efficient use of health care resources, but other studies have found negative effects.

However, assessing the scale of such an effect is complex.

So, an international team, led by researchers at the Nuffield Trust, set out to assess the impact of telehealth on hospital use for 3,230 patients with long term conditions (diabetes, chronic obstructive pulmonary disease or heart failure) over one year.

The study is one of the largest telehealth studies ever conducted.

Patients were randomly split into two groups. A total of 1,570 intervention patients were given devices and taught how to monitor their condition at home and transmit the data to health care professionals. A further 1,584 control patients received usual care.

During the study period, significantly fewer (43%) of intervention patients were admitted to hospital compared with 48% of control patients. Significantly fewer (4.6%) of intervention patients died compared with 8.3% of controls. This equates to about 60 lives over a 12 month period.

There were also statistically significant differences in the mean number of emergency hospital admissions per head (0.54 for intervention patients compared with 0.68 for controls) and the mean hospital stay per head (4.87 days for intervention patients compared with 5.68 days for controls), although the authors say these findings should be interpreted with caution.

These differences remained significant after adjusting for several factors that could have influenced the results. However, the authors point out that these effects appear to be linked with short term increases in hospital use among control patients, the reasons for which are not clear.

They also say that the estimated cost savings are modest.

These results suggest that telehealth reduced mortality and helped patients avoid the need for emergency hospital care, conclude the authors. This may be because telehealth helps patients better manage their conditions and avoid a worsening of symptoms that may need emergency care. Other possibilities are that telehealth changes people's perception of when they need to seek additional support.

But they stress that these benefits need to be balanced against the cost of the technology itself and the level of savings that can be achieved.

In an accompanying editorial, Josip Car, Director of the Global eHealth Unit at Imperial College London and colleagues say this latest evidence doesn't warrant full scale roll-out but more careful exploration.

Although factors that might be important for successful telehealth can be described, "we need more clarity on how to interpret the relative contributions of these elements," they write.

They suggest that policy makers, commissioners, and guideline developers should help ensure that the research agenda focuses on areas where telehealth shows most promise. "There is great potential but also still much to be done," they conclude.

Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial.
Steventon A, Bardsley M, Billings J, Dixon J, Doll H, Hirani S, Cartwright M, Rixon L, Knapp M, Henderson C, Rogers A, Fitzpatrick R, Hendy J, Newman S; for the Whole System Demonstrator Evaluation Team.
BMJ. 2012 Jun 21;344:e3874. doi: 10.1136/bmj.e3874.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...