- Research article
- Open Access
- Open Peer Review
Using technology to deliver cancer follow-up: a systematic review
BMC Cancervolume 14, Article number: 311 (2014)
People with cancer receive regular structured follow up after initial treatment, usually by a specialist in a cancer centre. Increasing numbers of cancer survivors prompts interest in alternative structured follow-up models. There is worldwide evidence of increasing interest in delivering cancer follow-up using technology. This review sough evidence supporting the use of technology in cancer follow-up from good quality randomised controlled trials.
A search strategy was developed to identify randomised controlled trials and reviews of randomised trials of interventions delivering some aspect of structured cancer follow-up using new technologies. Databases searched were: All EBM Reviews; Embase; Medline (No Revisions); Medline (Non-Indexed Citations), and CAB Abstracts. Included articles were published in English between 2000 and 2014. Key words were generated by the research question. Papers were read independently and appraised using a standardised checklist by two researchers, with differences being resolved by consensus [J Epidemiol Community Health, 52:377–384, 1998]. Information was collected on the purpose, process, results and limitations of each study. All outcomes were considered, but particular attention paid to areas under consideration in the review question.
The search strategy generated 22879 titles. Following removal of duplicates and abstract review 17 full papers pertaining to 13 randomised controlled studies were reviewed. Studies varied in technologies used and the elements of follow-up delivered, length of follow-up, tumour type and numbers participating. Most studies employed only standard telephone follow-up. Most studies involved women with breast cancer and included telephone follow-up. Together the results suggest that interventions comprising technology had not compromised patient satisfaction or safety, as measured by symptoms, health related quality of life or psychological distress. There was insufficient evidence to comment on the cost effectiveness of technological cancer follow-up interventions.
Modern technology could deliver cancer follow-up that is acceptable and safe. More research is required to develop cancer follow-up systems which exploit modern technology, which should be assessed using randomised trials, with consistent outcomes, so that evidence on the acceptability, safety, cost effectiveness and impact in quality of life of technological follow-up can accumulate and be made available to patients, professionals and policy makers.
Following the completion of their primary treatment for cancer most patients enter a programme of structured follow-up [1, 2]. This is usually based in secondary care and involves regular face to face consultations with specialist cancer doctors; the precise frequency and content of follow-up visits varies according to cancer site and local and national guidelines . Follow-up care is generally focused on detecting recurrent disease, monitoring the effects of treatment and providing ongoing support to patients and their families and there is good evidence that such care is valued by patients .
Current models of cancer follow-up are likely to be unsustainable due to two important factors. Firstly, as the population ages and treatment improves cancer prevalence increases year on year . This means that secondary care services are tasked with the delivery of follow-up to an increasing number of patients, and generally without corresponding increase in resources . Secondly, accessing aftercare can be problematic for certain patient groups, especially those who live in remote and rural areas distant from cancer centres . Access difficulties to cancer follow-up care could be one reason for the observation in some areas of poorer outcomes in rural, compared to urban, cancer patients . In contrast modern technology develops apace and offers increasing capability and functionality to patients, professionals and health systems for care delivery. Furthermore, the current population of cancer patients are increasingly familiar with technology and consuming healthcare information and services on digital platforms.
These issues together are the drivers to develop modern and alternative models of cancer follow-up. To date these have included varying the person delivering care (e.g. a specialist nurse rather than a doctor) and varying the location of cancer follow-up delivery (e.g. primary rather than secondary care) . Models of care that have been subjected to randomised trials have included shared care, nurse-led follow-up and GP-led follow-up, as well as shifting the locus of care from hospital to the community . A further alternative is to exploit the current innovative technological environment and seek to understand how digital means may be employed to deliver some or all aspects of cancer follow-up care .
“Telemedicine” is defined as using technology to share information over a distance between healthcare providers (e.g. between GPs and hospital specialists), whereas “telehealthcare” is defined as using technology to provide personalised healthcare to patients at a distance [9, 10]. To date some investigators have incorporated the use of land-line and mobile telephones into the delivery of cancer follow-up [11–13].
As technology improves and cancer prevalence increases interest in developing models of follow-up care that employ novel technologies is certain to increase, for example monitoring chemotherapy effects using smartphones . This systematic review was conducted to evaluate existing evidence on the clinical safety, patient acceptability, cost effectiveness and impact on quality of life from telemedicine and telehealthcare where it has been applied to cancer follow-up.
Search and identification of studies
The population of interest was adults with cancer. The intervention was cancer follow up using technology and the control usual care. Inclusion criteria were randomised controlled studies published in English between 2000 and 2014, whose intervention included a telemedicine or telehealthcare element in the intervention. Studies not meeting these criteria were excluded. The key outcomes of interest were patient acceptability (satisfaction), clinical safety and cost effectiveness.
A search strategy based on key words to reflect the review aim was designed in conjunction with a medical librarian and is included as Additional file 1.
The searches were run in February 2014 on the following databases: All EBM Reviews; Embase; Medline (No Revisions); Medline (Non-Indexed Citations); CAB Abstracts. Retrieved citations were exported to Refworks (http://www.refworks.com). All identified titles were read and those not meeting the inclusion criteria were excluded, as were duplicates. Abstracts of the remaining studies were screened against the inclusion criteria and full articles were then retrieved.
Critical appraisal of selected studies was undertaken using a standardized checklist . This was done by two researchers (RD and SH). There was subsequent discussion of assigned scores, and discussion and resolution of any differences by consensus. Papers were analyzed thematically considering particularly outcomes that related to themes highlighted in the review question, namely, clinical safety, patient acceptability, cost effectiveness and impact on quality of life. Clinical safety was defined as any outcome related to recurrent cancer or mortality. Patient acceptability was defined as outcomes reflecting how easily patients had found engaging with an intervention, the extent to which it met their healthcare needs, or how it impacted upon their satisfaction with services. Cost effectiveness related to the reporting of appropriate economic data. Quality of life related to any outcomes reflecting symptoms or accepted or validated measures of health related quality of life. Information was collected on the purpose, process, results and limitations of each study using a standardised data collection template. All outcomes were considered with particular attention paid to issues of patient acceptability and satisfaction, clinical safety, cost and impact on quality of life. Where quantitative data was presented it was tabulated as p values, confidence intervals and effect sizes. A narrative analysis of all papers was also conducted to identify the emergent common and contrasting themes from the reported studies.
Figure 1, a PRISMA diagram, displays the data for the number of titles initially identified, then excluded along with duplicates and the final number of randomised studies identified and included.
Characteristics of included studies
Seventeen papers pertaining to 13 randomised studies were included in the review. Tables 1 and 2 considers and displays each of these studies in detail including terms of patient population, intervention, outcome measures, key results, study quality score, measures used and detailed results including effect sizes.
Included patients and countries
Of the thirteen included studies eight had been conducted amongst women with breast cancer; one amongst men with prostate cancer and one amongst people with colorectal cancer [11, 13, 15–21]. Of the remaining three, a Scottish study using mobile phones to monitor symptoms was conducted in patients with breast, lung or colorectal cancer currently undergoing chemotherapy, a US study included patients with any solid tumour or non-Hodgkin’s lymphoma who were currently undergoing chemotherapy and a Korean study of cancer survivors who had reported severe fatigue [12, 22–24]. One study was conducted in the Netherlands , one in Australia , two each in the UK [11, 12, 25], and Canada [15, 20], six in the USA [16, 18, 19, 22, 23, 26] and one in Korea . The age ranges of patients were not consistently recorded.
Synthesis of key outcomes
Range of interventions and technologies employed
Of the 13 randomised studies the majority, seven, of the interventions were relatively low-tech and had simply employed standard telephone calls to cancer aftercare recipients in their own homes, as an alternative to standard follow-up [11, 13, 16–19, 21]. These calls were generally delivered by specialist nurses. The content, duration and frequency varied across studies. Calls were mainly scheduled, regular, and lasted approximately 30 minutes, and delivered components of symptom monitoring, information sharing, and emotional support. Two further interventions employed remote symptom monitoring using a smartphone/personal digital assistant (PDA) [12, 20]. A further intervention employed an automated voice activated telephone response system to monitor symptom severity [22, 23]. One intervention comprised a computer programme, completed by those in aftercare, which provided the patient with information and assisted decision making . Participants were encouraged to work through the computer programme prior to their face to face follow-up meeting, the aim being to enable them to participate more fully in their subsequent follow-up consultation . One study sought to combine technologies in a centralised telephone management system operated by a specialist nurse . Patients’ symptoms were monitored in their own home using an internet based application and/or a voice activated telephone helpline with nurses telephoning patients back if symptoms indicated this was required. The final study developed Health Navigation, an Internet-based individually tailored education programme for patients suffering from cancer related fatigue. Participants had access to the Health Navigation website and were guided through a twelve week programme including sessions on energy conservation, physical activity, nutrition, sleep hygiene, pain control and distress management .
Data on patient satisfaction or acceptability was explicitly reported in five of the trials [11, 13, 15, 16, 25]. Beaver et al. reported that most women with breast cancer had equivalent satisfaction with elements of cancer follow-up received via technological means compared to usual care [11, 25]. Kimman et al. found that nurse-led telephone follow-up after curative treatment for breast cancer resulted in high satisfaction scores with the added potential to reduce clinic visits . In the study of symptom monitoring using paper or PDA surveys in men with prostate cancer, most preferred using the PDA and found it easy to use, and older age did not appear to be associated with reports of difficulty in using the PDA . A smaller feasibility trial, reported that 92% of US women with breast cancer who received 6 weeks of telephone delivered problem solving occupational therapy were highly satisfied with the intervention . There was no evidence from the other studies that technological interventions led to reduced patient satisfaction with follow-up care.
Only one study reported on clinical safety [11, 25]. It was conducted amongst 374 women with breast cancer and reported on time to detection of recurrence, with no significant differences observed between intervention and control groups.
Health-related quality of life
In a Scottish study of remote monitoring of symptoms in patients undergoing chemotherapy intervention group patients were less fatigued and reported more hand and foot syndrome . Similarly, in a US trial of chemotherapy related symptom monitoring patients receiving symptom monitoring via an automated telephone symptom monitoring system reported more severe symptoms than those receiving nurse assisted symptom management [22, 23]. After 10 weeks symptom severity, compared to baseline, had reduced in both groups . An Australian study of patients with colorectal cancer receiving telephone follow-up from a specialist nurse, quality of life scores were higher in the intervention group at six months . Intervention participants in the Korean fatigue study  reported a decrease in 12 week scores compared to baseline in both the Brief Fatigues Inventory and Fatigue Severity Scale as well as a reduction in anxiety and several functioning scores of the EORTC-C30. However a study of 299 breast cancer patients in the Netherlands reported no significant difference in the health-related quality of life between the intervention group receiving telephone follow up and the control group receiving hospital follow up . Taking these six trials together there was no evidence of significantly increased psychological distress or reduced quality of life in any of the intervention groups.
Health economic outcomes
Only two studies included any assessment of health economic outcomes with only one study reporting specifically on cost . Beaver et al. conducted a cost minimisation analysis of specialist nurse-led follow-up . This concluded that telephone follow-up was more costly for health services, with patients receiving telephone follow–up having approximately 20% more consultations than those receiving hospital follow-up, in addition telephone consultations were longer than clinic consultations and requests for mammography or additional referrals were greater in this group, however telephone follow-up was less costly for patients . It should be noted that many of the health service costs related to training to deliver the intervention, costs which would subsequently decline . On the other hand, Dutch investigators, Kimman et al.,  concluded that standard hospital follow-up plus an educational group programme resulted in greater gain in QALYs compared to telephone follow-up, but at considerable cost possibly due to the high level of contacts made by the telephone follow-up group with specialised healthcare professionals and their costs of lost production . In a subgroup analysis included within this study hospital follow-up and an educational group programme was found to be maximally cost effective in anxious patients. Age, level of education, and chemotherapy did not influence cost-effectiveness . Beaver et al. did not conduct a sub-group analysis so comparisons could not be made at this level .
In the other studies, whilst not formally reporting any health economic evaluation, there was no evidence of increased health care utilisation amongst recipients of the intervention in fact one noted a significant reduction in subsequent referrals for depression and distress amongst 304 US breast cancer patients that had received telephone follow-up .
Critical appraisal of studies
A standard checklist was used to critically appraise the included studies using standard criteria . Scores are shown in Table 1 and ranged from 17 to 23. One study attracted a quality score of 6/10, mainly due to poor expression of the study aims and description of the participants . Thus, these studies were generally of good quality and reported to a high standard. In all cases the researchers had addressed issues of internal validity and recognised the issues created by not being able, in most, cases to blind participants to the intervention. Most studies failed to employ blinded data collection. In all studies there was good recognition of, and controlling of, potential confounding leading to high scores in this domain. Most of the studies were, however, underpowered with respect to clinical outcomes. The main issue of quality with the study was a failure to demonstrate external validity. Only four of the included studies included information on non-respondents, generally reporting that they were older and of lower educational status [11, 17, 18, 20]. This underscores the fact that technology trials as currently reported exhibit considerable recruitment bias. This was further illustrated by some of the studies not reporting on non-respondents acknowledging that this was a limitation and highlighting the fact that they had, for example, recruited only urban or white participants [15, 18, 28].
Summary of evidence
The limited evidence available suggests that using technology for cancer follow-up is acceptable to patients and clinically safe. However, there is currently insufficient evidence to definitively state whether or not remote cancer follow-up using technology is likely to be cost effective, since most existing randomised trial evidence relates to alternative models of follow-up using standard telephone calls only. The results are important as a prompt and guide to future research since, in the face an ageing population and increasing number of cancer survivors, the need for safe, acceptable and economically viable alternatives to current resource intensive cancer follow-up care delivery models is urgent. Existing evidence suggests that scheduled cancer follow-up can employ elements of technology without reducing patient satisfaction, compromising safety, impairing quality of life or increasing psychological distress.
Strengths and limitations
As far as we aware this is the first systematic review to focus on the use of technology to deliver cancer follow-up. The methods of the review were thorough and robust and the authors have confidence that the search strategy was suitably inclusive to identify most relevant studies. We chose to include only randomised controlled trials in the review and did not include other studies types, such as interrupted time series studies. This was principally due to our concern that trials of new technologies are particularly prone to selection bias (i.e. the recruitment of enthusiasts). Whilst the randomised trial is not a panacea to this problem in technological research we believe that by restricting our review to a method which explicitly addresses this issue was the best approach. A further issue is that the CONSORT statement which promotes quality in the reporting has been widely accepted and implemented. Furthermore randomised trials, in general, include harder outcome. We believe our results have borne out our approach.
The review was limited to studies written in English. Thus it is possible that some studies conducted in other parts of the world were missed. This is particularly so when it is considered that many non-English speaking countries, for example, Germany are key-players in technological innovation. We do think, however, that since English is practically the “lingua franca” of medical research it is unlikely that we have missed any major randomised trial by employing this limitation. It does seem most likely that these would have been published in a journal employing the English language for which the search strategy was exhaustive. Further support for this view can be obtained from the fact that both trials currently registered on the ISRCTN register of using technology in cancer follow-up are in non-English speaking countries but fully described and registered in English.
The majority of existing studies were conducted in the developed world in women with breast cancer, a group which will potentially represent the more enabled and affluent end of the cancer survivorship spectrum. This limits the extension of the current findings to other settings, cancers and patient groups, emphasising the need for further research. It could also be that there are patient groups in whom it would be inappropriate to attempt to utilise technology in their follow-up, an issue that the current evidence goes no way toward identifying or addressing. Furthermore, there was insufficiently consistent reporting within the studies of inclusion criteria with respect to time since completion of treatment or stage at diagnosis to draw meaningful conclusions with respect to these parameters. A further limitation has occurred in the synthesis and interpretation of the evidence. There were surprisingly few randomised studies identified and the majority used telephone follow-up only, with only a few adopting more recent technological innovations such as PDAs. Thus, given the increasing potential of modern digital technologies the included interventions were relatively simple and low-tech. Furthermore, the way in which technology could enable patients to send information to healthcare professionals has not yet been meaningfully explored. Although the interventions addressed several aspects of follow-up care (recurrence monitoring, monitoring treatment effect, information provision) none were comprehensive, and most used technology to deliver one aspect of follow-up care as an adjunct to more traditional follow-up models. Because of this direct comparison of interventions was extremely difficult given the different technologies, interventions and outcomes reported. Nevertheless, we believe the current review provides good evidence of the potential of technology to deliver safe effective cancer follow-up in the future. The review also highlights the need for future trials to seek to provide definitive information on patient acceptability, clinical safety and cost effectiveness.
Context with other literature
There is a growing recognition that cancer follow-up services are increasingly stretched by a growing population of cancer survivors [1, 3, 6]. This has prompted researchers to develop alternative models of care which have utilised different healthcare professionals in care delivery and/or shifted the focus of care from hospital to the community [4, 29, 30]. Despite, this, these models will probably continue to consume a large and growing amount of healthcare resource and still inconvenience certain patient groups. The randomised studies included within this review are striking in the respect that they demonstrate that few mature complex interventions utilising technology, other than standard telephone calls, have been developed to a standard sufficient for subjection to a randomised controlled trial. The need to do this is, perhaps, one of the key implications of our work. There is an emerging vision that modern technologies, evidenced by policy initiative worldwide, could potentially enhance current models or offer other alternatives to the future delivery of high quality cancer care [31–38]. There is considerable evidence from other disease areas of using modern technologies to good effect . For example, text messaging has been found to increase self-efficacy and adherence to medication in young people with diabetes and has been proven to be an effective aid to smoking cessation [40, 41]. Online systems which enable patients to access their own health records have enjoyed some success as a means to educate patients and assist in their self-management, for example, in the USA, Kaiser Permanente’s My Health Manager has demonstrated significant reductions in primary care contacts . The CHAMPION project has enabled disabled adults to improve communication with healthcare professionals by inputting information on their own care needs into a database, for example, uploading a video to demonstrate to clinical staff how they use their communication devices . However, there is now a striking need to develop high quality and innovative technological interventions to support growing numbers of people with cancer.
Inspection of the International Standard Randomised Controlled Trial Number Register indicates that increasing numbers of clinical trials of technological applications to healthcare are occurring . The register lists twenty-three active trials on telehealth, telemedicine or ehealth, including trials in men with prostate cancer and another amongst patients with breast or colorectal cancer [45, 46]. Nevertheless, this is surprisingly few randomised trials given the explosion in technological innovation in recent years. It could be that technology is evolving so fast that potential innovative technological interventions become outdated before they can mature sufficiently to be subjected to randomised trials.
At the current time there are few well conducted randomised trials exploring the role of digital and other technologies in the delivery of structured cancer aftercare. There is, however, some evidence that modern technologies can be used to safely and effectively deliver aspects of structured cancer follow-up as an alternative or adjunct to existing traditional models which require patients to travel to tertiary cancer centres for face to face visits with a cancer specialist. Given the potential gains offered by digital technology in terms of patient convenience and empowerment and reduction of resource use in cancer centres, there is an urgent need for future cancer research to embrace the digital age and seek to integrate various different technologies into innovative and comprehensive models of virtual cancer follow-up. It is essential, however, that such trials employ robust and consistent measures of patient satisfaction and acceptability, clinical safety and cost effectiveness so that powerful evidence on these outcomes can accumulate.
Brennan ME, Butow P, Marven M, Spillane AJ, Boyle FM: Survivorship care after breast cancer treatment- Experiences and preferences of Australian women. Breast. 2011, 20: 271-277. 10.1016/j.breast.2010.12.006.
Macbride SK, Whyte F: Survivorship and the cancer follow-up clinic. Eur J Cancer Care. 1998, 7: 47-55. 10.1046/j.1365-2354.1998.00065.x.
Hall S, Samuel L, Murchie P: Shared follow-up for cancer: developing the model with patients and GPs. Fam Pract. 2011, 28: 554-564. 10.1093/fampra/cmr012.
Lewis R, Neal R, Williams N, France B, Hendry M, Russell D, Hughes D, Russell I, Stuart N, Weller D, Wilkinson C: Follow up of cancer in primary care versus secondary care: a systematic review. Br J Gen Pract. 2009, 59: e234-e247.
Maddams J, Brewster D, Gavin A, Steward J, Elliot J, Utley M, Moller H: Cancer prevalence in the United Kingdom: estimates for 2008. Br J Cancer. 2009, 101: 541-547. 10.1038/sj.bjc.6605148.
Okera M, Baker NA, Hayward AM, Selva-Nayagam S: Oncology workforce issues: the challenge of the outpatient clinic. Intern Med J. 2011, 41: 499-503. 10.1111/j.1445-5994.2011.02506.x.
Green J, Murchie P, Lee AJ: Does place of residence affect the management of cutaneous melanoma? Analysis of a database from Northern Scotland. J Rural Health. 2013, doi: 10.1111/jrh.12011
NHS Improvement Rapid Review of current service provision following cancer treatment. Available at http://www.ncsi.org.uk/ (accessed 15th May 2013)
Sood S, Mbarika V, Jugoo S, Dookhy R, Doarn CR, Prakash N, Merrell RC: What is telemedicine? A collection of 104 peer-reviewed perspectives and theoretical underpinnings. Telemed J E Health. 2007, 13: 573-590. 10.1089/tmj.2006.0073.
McLean S, Protti D, Sheikh A: Telehealthcare for long term conditions. BMJ. 2011, 342: 374-378. 10.1136/bmj.d374.
Beaver K, Tysver-Robinson D, Campbell M, Twomey M, Williamson S, Hindley A, Susnerwala S, Dunn G, Luker K: Comparing hospital and telephone follow-up after treatment for breast cancer: randomised equivalence trial. BMJ. 2009, 338: a3147-10.1136/bmj.a3147.
Kearney N, McCann L, Norrie J, Taylor L, Gray P, McGee-Lennon M, Sage M, Miller M, Maguire R: Evaluation of a mobile phone-based, advanced symptom management system (ASyMS) in the management of chemotherapy-related toxicity. Support Care Cancer. 2009, 17: 437-444. 10.1007/s00520-008-0515-0.
Kimman ML, Bloebaum MMF, Dirksen CD, Houben RMA, Lambin P, Boersma LJ: Patient satisfaction with nurse-led telephone follow-up after curative treatment for breast cancer. BMC Cancer. 2010, 10: 174-10.1186/1471-2407-10-174.
Downs S, Black N: The feasibility of creating a check-list for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. J Epidemiol Community Health. 1998, 52: 377-384. 10.1136/jech.52.6.377.
Davison BJ, Degner LF: Feasibility of using a computer-assisted intervention to enhance the way women with breast cancer communicate with their physicians. Cancer Nurs. 2002, 25: 417-424. 10.1097/00002820-200212000-00001.
Hegel MT, Lyons KD, Hull JG, Kaufman P, Urquhart L, Li Z, Ahles TA: Feasibility study of a randomized controlled trial of a telephone-delivered problem-solving-occupational therapy intervention to reduce participation restrictions in rural breast cancer survivors undergoing chemotherapy. Psychooncology. 2011, 20: 1092-1101. 10.1002/pon.1830.
Kimman ML, Dirksen CD, Voogd AC, Falger P, Gijsen BCM, Thuring M, Lenssen A, Van Der Ent F, Verkeyn J, Haekens C, Hupperets P, Nuytinck JKS, Van Riet Y, Brenninkmeijer SJ, Scheijmans LJEE, Kessels A, Lambin P, Boersma L: 2011. Nurse-led telephone follow-up and an educational group programme after breast cancer treatment: Results of a 2×2 randomised controlled trial. Eur J Cancer. 2011, 47: 1027-1036. 10.1016/j.ejca.2010.12.003.
Marcus AC, Garrett KM, Cella D, Wenzel L, Brady MJ, Fairclough D, Pate-Willig M, Barnes D, Emsbo SP, Kluhsman BC, Crane L, Sedlacek S, Flynn PJ: Can telephone counselling post-treatment improve psychosocial outcomes among early stage breast cancer survivors?. Psychooncology. 2010, 19: 923-932. 10.1002/pon.1653.
Sandgren AK, McCaul KD: Short-term effects of telephone therapy for breast cancer patients. Health Psychol. 2003, 22: 310-315.
Matthew AG, Currie KL, Irvine J, Ritvo P, Santa Mina D, Jamnicky L, Nam R, Trachtenberg J: Serial personal digital assistant data capture of health-related quality of life: a randomized controlled trial in a prostate cancer clinic. Health Qual Life Outcomes. 2007, 5: 38-10.1186/1477-7525-5-38.
Harrison JD, Young JM, Solomon MJ, Butow PN, Secomb R, Masya L: Randomized pilot evaluation of the supportive care intervention “CONNECT” for people following surgery for colorectal cancer. Dis Colon Rectum. 2011, 54: 622-631. 10.1007/DCR.0b013e31820bc152.
Sikorskii A, Given CW, Given B, Jeon S, You M: Differential symptom reporting by mode of administration of the assessment: automated voice response system versus a live telephone interview. Med Care. 2009, 47: 866-874. 10.1097/MLR.0b013e3181a31d00.
Sikorskii A, Given CW, Given B, Jeon S, Decker V, Decker D, Champion V, McCorkle R: Symptom management for cancer patients: a trial comparing two multimodal interventions. J Pain Symptom Manage. 2007, 34: 253-264. 10.1016/j.jpainsymman.2006.11.018.
Yun YH, Lee KS, Kim KW, Park SY, Lee ES, Noh DY, Kim S, Oh JH, Jung SY, Chung KW, Lee YJ, Jeong SY, Park KJ, Shim YM, Zo JI, Park JW, Kim YA, Shon EJ, Park S: Web-based tailored education program for disease-free cancer survivors with cancer related fatigue: A randomised controlled trial. J Clin Oncol. 2012, 30: 1296-1303. 10.1200/JCO.2011.37.2979.
Beaver K, Hollingworth W, McDonald R, Dunn G, Tysver-Robinson D, Thomson L, Hindley AC, Susnerwala SS, Luker K: Economic evaluation of a randomized clinical trial of hospital versus telephone follow-up after treatment for breast cancer. Br J Surg. 2009, 96: 1406-1415. 10.1002/bjs.6753.
Kroenke K, Theobald D, Wu J, Norton K, Morrison G, Carpenter J, Tu W: Effect of telecare management on pain and depression in patients with cancer: a randomized trial. JAMA. 2010, 304: 163-171. 10.1001/jama.2010.944.
Kimman ML, Dirksen CD, Voogd AC, Falger P, Gijsen BC, Thuring M, Lenssen A, van der Ent F, Verkeyn J, Haekens C, Hupperets P, Nuytinck JK, van Riet Y, Brenninkmeijer SJ, Scheijmans LJ, Kessels A, Lambin P, Boersma LJ: Economic evaluation of four follow-up strategies after curative treatment for breast cancer: results of an RCT. Eur J Cancer. 2011, 47: 1175-1185. 10.1016/j.ejca.2010.12.017.
Van den Brink JL, Moorman PW, de Boer M, Hop WCJ, Pruyn JFA, Verwoerd CDA, van Bemmel JH: Impact on quality of life of a telemedicine system supporting head and neck cancer patients: a controlled trial during the postoperative period at home. J Am Med Inform Assoc. 2006, 14: 198-205.
Cox K, Wilson E: Follow-up for people with cancer: nurse-led services and telephone interventions. J Adv Nurs. 2003, 43: 51-61. 10.1046/j.1365-2648.2003.02672.x.
Murchie P, Nicolson MC, Hannaford PC, Raja EA, Lee AJ, Campbell NC: Patient satisfaction with GP-led melanoma follow up: a randomised controlled trial. Br J Cancer. 2010, 102: 1447-1455. 10.1038/sj.bjc.6605638.
Hazin R, Qaddoumi I: Teleoncology: current and future applications for improving cancer care globally. Lancet Oncol. 2010, 11: 204-210. 10.1016/S1470-2045(09)70288-8.
Hede K: Teleoncology gaining acceptance with physicians, patients. J Natl Cancer Inst. 2010, 102: 1531-1533. 10.1093/jnci/djq426.
Palkhivala A: Canada develops models of teleoncology. J Natl Cancer Inst. 2011, 103: 1566-1567. 10.1093/jnci/djr449.
Sudhamony S, Nandakumar K, Binu PJ, Issac NS: Telemedicine and tele-health services for cancer-care delivery in India. IET Commun. 2008, 2: 231-236. 10.1049/iet-com:20060701.
Allen A, Hayes J: Patient satisfaction with teleoncology: a pilot study. Telemed J. 1995, 1: 41-46. 10.1089/tmj.1.1995.1.41.
Ricke J, Bartelink H: Telemedicine and its impact on cancer management. Eur J Cancer. 2000, 36: 826-833. 10.1016/S0959-8049(00)00057-5.
Coelho JJ, Arnold A, Nayler J, Tischkowitz M, MacKay J: An assessment of the efficacy of cancer genetic counselling using real-time videoconferencing technology (telemedicine) compared to face-to-face consultations. Eur J Cancer. 2005, 41: 2257-2261. 10.1016/j.ejca.2005.06.020.
Weinstein RS, López AM, Barker GP, Krupinski EA, Descour MR, Scott KM, Richter LC, Beinar SJ, Holcoms MJ, Bartels PH, McNeely RA, Bhattacharyya AK: The innovative bundling of teleradiology, telepathology, and teleoncology services. IBM Syst J. 2007, 46: 69-84.
Ekeland AG, Bowes A, Flottrop S: Effectiveness of telemedicine: a systematic review of reviews. Int J Med Inform. 2010, 79: 736-771. 10.1016/j.ijmedinf.2010.08.006.
Franklin VL1, Waller A, Pagliari C, Greene SA: A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabet Med. 2006, 23: 1332-1338. 10.1111/j.1464-5491.2006.01989.x.
Bennett DA, Emberson JR: Text messaging in smoking cessation: the txt2stop trial. Lancet. 2011, 378: 6-7. 10.1016/S0140-6736(11)60882-9.
Kaiser Permanente (2012) My health manager. 2012, https://healthy.kaiserpermanente.org/health/care/consumer/my-health-manager. (Accessed 20 Feb 2014)
Prior S: Involving adults with severe speech and physical impairments in the design of CHAMPION. ACM SIGCHI conference on human factors in computing systems. 2010, Atlanta, USA: ACM
International Standard Randomised Controlled Trial Number Register. 2014, http://www.controlled-trials.com/isrctn/search.html (accessed 20th February 2014)
Eysenbach G: Impact of Internet Instructions on Men with Prostate Cancer. ISRCTN10001875. doi:10.1186/ISRCTN10001875. http://www.controlled-trials.com/isrctn/search.html (accessed 20th February 2014)
Orruño E: Evaluation of an e-health intervention for cancer patients’ support. ISRCTN00735390. doi:10.1186/ISRCTN00735390. http://www.controlled-trials.com/isrctn/search.html (accessed 20th February 2014)
The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/14/311/prepub
We wish to acknowledge the assistance of Dr Mel Bickerton, Medical Librarian at the University of Aberdeen, in the design and execution of the search strategy. We also wish to acknowledge the University of Aberdeen who acted as the sponsors for this study. We also acknowledge the support of NHS Education for Scotland who funded RD Academic Fellowship, during which this work was conducted. We also acknowledge support to SH from an award made by the RCUK Digital Economy programme to the dot.rural Digital Economy Hub at the University of Aberdeen; award reference: EP/G066051/1.
All authors have seen and approved the final manuscript. They do not have any competing interests to declare. The authors have full control of all primary data and they agree to allow the journal to review their data if requested.
RD, CB and PM designed the review. RD conducted the review assisted by SH. JS participated in updating the review. RD and PM wrote the manuscript with comments on drafts from SH, JS and CB. All authors read and approved the final manuscript.
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