Introduction
“E-health is an emerging field of medical informatics, referring to the organization and delivery of health services and information using the internet and related technologies. In a broader sense, the term characterizes not only a technical development, but also a new way of working, an attitude, and a commitment for networked, global thinking, to improve health care locally, regionally, and worldwide by using information and communication technology” [6].
-
❖What kind of willingness to engage in e-health is identified?
-
❖ How is motivation and supportive self-care created in perioperative e-health applications?
-
❖ Which behaviour changes are identified?
-
❖ What is the adherence to self-care information?
-
❖ What are the effects on the path of recovery (time, symptom management, complications, hospital visits, and readmission)?
-
❖ Which age groups can benefit from perioperative e-health applications?
-
❖ Which surgical procedures are studied?
Methods
Telemedicine/nursing | Patient outcome assessment | Participation |
---|---|---|
E-health | Patient reported outcome measures | Self-care |
M-health | Self-reported assessment | Self-efficacy |
Medical informatics | Self-monitoring | Self-management |
Electronic mail | Communication | Empowerment |
Text messaging | Decision-making | The operative period |
Mobile applications | Education | Preoperative |
Recovery | Surgeries procedures | Postoperative |
Authors and Country of origin | Sample (%) | Age | Setting | Intervention characteristics |
---|---|---|---|---|
Abelson et al. 2017 [27] USA | Individuals: n = 739 Intervention/control group: n/a Gender: female 368 (50) | 18–34: 200 35–49: 201 50–64: 213 ≥ 64: 125 | General population | Survey questions concerning the public’s access to and willingness to use mobile health technologies after surgery |
Bouwsma et al. 2018 [28] Netherlands | Individuals: n = 433 Intervention/control group: 227/206 Gender: n/a | M: 46(± 7)/46(± 7) | Gynaecology | An interactive web portal facilitated self-management through the surgical pathway, providing individual tailored convalescence advice preoperatively. The web portal contained an interactive self-assessment tool to monitor recovery. Patients were advised to resume their work activities gradually to reach full return to work within a predefined number of weeks |
Cnossen et al. 2016 [29] Netherlands | Individuals: n = 38 Intervention/control group: n/a Gender: female 9 (24) | M: 65, range 46–78 | Laryngectomy | An app delivered a self-care education program and an exercise programme. Education and self-care management provided general information about the larynx, laryngeal cancer, and functional changes after total laryngectomy. The themes of self-care information were nutrition, tracheostomy care, voice prothesis care, speech and smell rehabilitation, mobility of head, neck, and shoulder muscles, which were illustrated with video animations, images, photos, and video demonstrations |
Davidovitch et al. 2018 [30] USA | Individuals: n = 268 Intervention only/intervention and ordinary care: 99/169 Gender: female 62(63)/94 (56) | 61(± 10)/66(± 10) | Total hip arthroplasty | A customizable electronic app specifically designed for rehabilitation after hip arthroplasty contained surgeon-specific videos to prepare patients before surgery and videos focusing on wound management and rehabilitation. Rehabilitation metrics offered patient activity together with the possibility of sharing images with their care teams |
Felbaum et al. 2018 [31] USA | Individuals: n = 56 Intervention/control group: n/a Gender: female 33 (59) | M: 52 (± 14) | Neurosurgery | An app asked the patients to perform specific tasks, such as reading instructions. Confirmation of completed tasks was sent to the web portal, to which staff had full access. Patients also received specific timely reminder text messages. Additionally, patients could send their pain-scores and wound images to staff, enabling communication |
Glauser et al. 2019 [32] USA | Individuals: n = 30 Intervention/control group: n/a Users/nonusers: 8/22 Gender: female 5(62)/10(45) | M: 51/55 | Spine surgery | An app included preparation for surgery, preoperative risk mitigation, activity monitoring, wound care, and opioid use management, providing real time viewing of wound healing, activity and pain levels, and communication with providers. Patients were given a “daily to-do list” with video instructions and given a star when competed. The “to-do list” included activity levels and diet, as well as possibilities for reporting symptoms daily. Individual trends were shown graphically for both patients and providers |
Gustavell et al. 2019 [33] Sweden | Individuals: n = 59 Intervention/control group: 26/33 Gender: female 9(35)/13(39) | M (SD): 67(9)/66(9) | Pancreaticoduodenectomy | An app in which daily regular patient reports of self-assessed symptoms were requested. A reminder was sent every day. Patients was offered continuous access to evidence-based self-care advice, and graphs to view their history of symptom reporting. In the case of an alert, patients were contacted by their contact nurse |
Hou et al. 2019 [34] China | Individuals: n = 168 Intervention/control group: 84(50)/84(50) Gender: female 57(48)/50(42) | M (SD): 51(10)/49(10) | Spine surgery | The app contained two interfaces: a mobile-phone-based interface for patients and a web-based interface for doctors. Patients could view their rehabilitation plans that included individual video instructions. Patients received daily exercise reports and alerts to prompt them to return to the system. They could communicate with their doctors, who continuously adjusted rehabilitation plans |
van der Meij et al. 2018 [35] Netherlands | Individuals: (n = 344) Intervention/control group: 173(50)/171(50) Gender: female 95(55)/92(54) | M: 52, range42-61/51, range41-58 | Gynaecological and abdominal general surgery | The intervention care program comprised a website, an app, and an activity tracker, preparing patients for surgery and supporting them postoperatively. Patients could develop a personalized convalescence plan, access information about the perioperative period by text and video animation, use and monitor personal feedback on the recovery process, and had use of an e-consult function |
Mundi et al. 2015 [36] USA | Individuals: n = 30 Intervention/control group: n/a Gender: female 27(90) | M (SD): 41(11) | Bariatric surgery | The app contained components aimed at educating, assessing, and engaging patients, that is, brief text messages encompassing lifestyle domains and short video-based education modules, which were followed to verify mastery of the topic. Tailored messages were electronically generated and sent to patients to modulate behaviour. Patients received either a congratulatory or supportive messages |
Pecorelli et al. 2018 [37] USA | Individuals: n = 45 Intervention/control group: n/a Gender: female 16(36) | ≤ 50 11(24%) 50–70 22(49%) > 70 29(27%) | Bowel surgery | An app included patient education, reminders of daily recovery milestones, and questionnaires to track patients’ adherence to the recovery process and assess patient-reported outcomes. The app provided feedback on adherence to individual recovery elements and encouraged to reach daily goals. Motivation was enhanced by letting patients do private internet browsing and messaging on the iPad |
Pickens et al. 2019 [38] USA | Individuals: n = 122 Intervention/control group: n/a Gender: n/a | n/a | Hepatopancreatobiliary surgery | A web-based platform accessible by any smartphone and tablet device was customized to an ERAS programme. Patients were provided with scheduled task reminders for preoperative preparation and prompted to access a digital education library reviewing details of their medical condition, scheduled operation, and anticipated ERAS expectations. From the day of surgery, the app provided prompts to complete a daily survey of symptoms, opiate use, anxiety, and quality-of-life scores. Responses triggered guidance for self-care at home, call to a nurse, or to seek immediate attention at the Emergency Department. Patients were encouraged to involve their family and friends |
Russ et al. 2020 [39] England | Individuals: n = 42 Intervention/control group: n/a Gender: female 25(59) | 18–34 17(40%) 35–64 21(50%) ≥ 65 4(10%) | General-, orthopaedics, obstetrics, eye-, gynaecological and other surgery | An app aimed to enhance safety in the surgical process and provide evidence-based simple information and animations around specific areas of risk for safety: preparing for surgery, personal details, consent, hand hygiene, deep-vein thrombosis, falls, pressure ulcers, medications, wound care, nutrition, and going home. The app provided step-by-step advice on the actions that patients and their intimates could take, including warning signs to look out for, information, and questions to ask |
Timmers et al. 2019 [40] Netherlands | Individuals: n = 213 Intervention/control group: 114(54)/99(46) Gender: female 74(65)/60(61) | M (SD): 65(8)/66(8) | Knee replacement | The app offered day-to-day information. Push notifications were used to actively alert patients about information that was available. The text, photos, and videos in the intervention were based on existing protocols. After discharge, patients received supporting information on pain, physiotherapy exercises, wound care, and daily self-care activities. Additionally, patients were requested to enter their pain scores and were able to view their results in a graph. They could also upload a photo of their wound |
Tofte et al. 2020 [41] USA | Individuals: n = 16 Intervention/control group: n/a Gender: female 11(69) | M: 48, range: 23–63 | Carpal tunnel release | The app included online modules corresponding to elements of a typical postoperative visit: dressing removal, suture removal, documentation of wound appearance, evaluation of nerve symptoms, and documentation of a physical exam, including motor exam and range of motor. Video instructions guided patients through dressing removal and suture removal. Patients then uploaded a wound photo, completed a self-assessment of median nerve symptoms, and recorded a video of physical exam manoeuvres |
Study Country of origin | Objective | Study design | Results |
---|---|---|---|
Abelson et al. 2017 [27] USA | To determine NY State residents’ willingness to engage in mHealth after surgery and compare socioeconomic factors that may affect willingness to engage | Survey | Primary outcome: The majority reported a willingness to engage with mHealth, including wearing a tracker on their wrist, filling out daily surveys, sending pictures, and sharing updates Secondary outcome: Higher education, trust on the internet, and pre-existing smartphone use were associated with higher willingness to engage with mHealth. Black race and Hispanic ethnicity, but not age, were associated with lower willingness |
Bouwsma et al. 2018 [28] Netherlands | To study the implementation of the care programme in the daily practice of nine hospitals in the Netherlands | Multicentre stepped-wedge cluster randomized controlled study | Primary outcome: The median duration until return to work was shorter in the intervention group than in the usual care group, 48/62 days Secondary outcomes: At the two-week follow-up, the intervention group differed significantly from the usual care group in quality of life (p = .0046), pain (p = .014), and disability (p = .000). These differences disappeared over time. There were no differences in functional health status, self-efficacy, or coping between the groups |
Cnossen et al. 2016 [29] Netherlands | To investigate the feasibility of the selfcare education programme in clinical practice by assessing uptake and usage rate and user satisfaction of a programme supplementary to regular care The secondary aim was to investigate which sociodemographic and clinical factors are associated with user satisfaction | Multicentre single group cross-sectional study design | Usage: Sixty-nine percent of the patients logged in, 55% spent < 60 min. using the programme, 29% 60–90 min. and 16% > 90 min. in the study period of 2 weeks. The majority (84%) found the programme beneficial in managing self-care and reported no problems performing self-care. Three patients had technical problems watching videos, and three were not interested |
Davidovitch et al. 2018 [30] USA | The aim was to investigate the clinical utility and economic burden associated with digital rehabilitation apps in primary total hip arthroplasty (THA) recipients | Single-centre retrospective review | Both the platform-only and the platform-HHS cohorts demonstrated similar improvements in all PROs at 12 weeks. The platform-only cohort was significantly (p = < 05) more likely to download the mobile platform and demonstrated a significantly (p = .0001) greater engagement with the platform |
Felbaum et al. 2018 [31] USA | To demonstrate that app-based instructions with built-in reminders may improve patient understanding and compliance and contribute to reducing the number of surgery cancellations and postoperative complications and readmissions | Prospective evaluation | Fifty-four (96%) of the 56 included patients successfully downloaded, registered and used the studied app There were no cancelled surgeries, and one postoperative complication was registered. Eight patients called the office on a single occasion regarding perioperative care |
Glauser et al. 2019 [32] | The objective of this innovative app is to integrate enhanced recovery after surgery (ERAS) principles, patient education, and real-time pain and activity monitoring in a home setting with unencumbered two-way communication | A quality improvement effort | Eight (27%) of 30 patients logged in nearly every day from a week pre-op to > 45 days post-op. They found the daily reminders and graphical presentations of their trends most helpful. Helpful was also the daily to-do list, wound pictures, walking measures, pain level tracking, and communication with care. The non-users (n = 22, 73%) chose not to use the app due to no interest, difficulties with registration, difficulties using it, and not remembering to use it |
Gustavell et al. 2019 [33] Sweden | The aim was to evaluate the impact on health-related quality-of-life and self-care activity when using the Interaktor app following pancreaticoduodenectomy due to cancer | Historically controlled single-centre design | Health-related quality-of-life ratings at 6 weeks and 6 months were significantly higher in the intervention group. At 6 months, the intervention group rated higher (p = .033) engagement in self-care activities. The intervention group reported non-significant changes in 21 of health- related quality of life as compared to 8 for the control group In the first 4 weeks, the intervention group reported symptoms as intended, (Mdn) 95%. Alerts were triggered (Mdn) three times. Self-care advice was viewed (Mdn) 13.5 times, mostly regarding pancreatic enzyme supplements, dietary advice, and pain From 4 weeks to 6 months, the adherence was (Mdn) 83%. Alerts were triggered (Mdn) 7 times. Self-care advice was viewed (Mdn) 11 times |
Hou et al. 2019 [34] China | The aim of this study was to examine the efficacy of mobile-phone-based rehabilitation systems in patients who underwent lumbar spinal surgery | Multicentre prospective RCT | A total of 50 (78%), 37/58%), and 38 (59%) patients had high compliance at 6, 12, and 24 months, respectively. Twenty-four (37%) completed the whole trial. Reasons for low compliance included lack of communication with doctors, concerns about the accuracy of the action, limited symptom improvement, and lack of motivation Primary outcomes: The Owestry Disability Index (ODI) and pain were high in both groups, and no significant differences were seen at baseline up to 12 months. At 24 months, ODI and pain were significantly (p = < .05) improved in the e-health group Secondary outcomes: No significant differences between groups were found for movement at 3, 6, and 12 months; at 24 months, there was a significant (p = < .05) improvement in the e-health group. The EuroQol-5 improved significantly (p = < .05) in the e-health group at 6, 12, and 24 months. The SF-36 improvement was significant (p = < .05) at 3, 6, and 24 months in the e-health group. In the group with the highest adherence (subgroup with e-Health), there were significant (p = < .05) changes in ODI and pain at 6, 12, and 24 months |
van der Meij et al. 2018 [35] Netherlands | The effect of a personalized e-healthcare programme on return to normal activities after surgery was evaluated | A multicentre, single-blind, randomized controlled trial | 100% completed the baseline questionnaire, and questionnaires at 1, 3, and 6 weeks, and 3 and 6 months after surgery were completed by, respectively, (95%), (94%), (90%), (88%), and (87%) Primary outcome: Median time until return to normal activities was significantly (p = .007) shorter in the intervention group Secondary outcomes: Median time until 75% of normal activities and time until full resumption of work were in favour of the intervention group. Up to 6 months social participation (p = .038) and physical function (p = .024) scores were significantly higher in the intervention group; other measures did not differ between groups |
Mundi et al. 2015 [36] | The primary objective was to assess the feasibility of using a smartphone app with EMA/EMI functionality to prepare patients for bariatric surgery | Ecological Momentary Assessment (EMA)/intervention study | Twenty (67%) out of 30 patients pursued the study. On average in this group, seven out of nine app modules were completed. There was a correlation between EMA response and confidence in maintaining an exercise regimen. The app was reported as being helpful in preparing for surgery. A small increase in nutrition knowledge and feeling more engaged in healthy lifestyle was seen. Two (10%) of twenty patients did not pursue surgery due to weight loss |
Pecorelli et al. 2018 [37] | The objective was to assess the validity and usability of a novel mobile device app for education and self-reporting of adherence for patients undergoing bowel surgery within an established ERP | A prospective, single-group pilot study follow-up | Patients used the app a median of 10 min/day. Patients completed 89% of available questionnaires. Reasons for non-completion were ongoing postoperative complications (n = 8), patient forgot (n = 7), patient did not understand the task (n = 2), and technical issues (n = 2). The majority (89%) of patients found the app to be very helpful in understanding and achieving recovery goals and reported increased motivation to recover after surgery |
Pickens et al. 2019 [38] USA | The aim was to demonstrate the novel implementation of an established mobile health app for PRO collection in an ERAS programme for hepatopancreatobiliary (HPB) surgery | A prospective, single-group pilot study | Patient engagement was 93% (114/122) before surgery. Immediate postoperative engagement was 88%, after discharge 52%, and 30% at week 3. Patients submitted 57% of prompted PROs. The 30-day end-of-study PROMIS survey was completed by 41% The app helped the majority (29/30, 97%) feel more prepared before surgery and allowed (69/88, 78% to “feel more confident” and “worry less” during their recovery. Twenty-five to 36 patients reported compliance with self-care day 1–7. Twelve patients reported that the app prevented phone calls to the office and a visit to the ED. Most alerts (393/521) needed no further help due to given guided responses to further self-care or to call the nurse. Seven patients were directed to an ED |
Russ et al. 2020 [39] | The research objectives were twofold: 1. To assess the views relating to the app with a cohort of diverse surgical patients recruited from the community and to understand perceptions of the app, perceived impacts on care and safety, and areas of improvement 2. To describe and evaluate the approach and impact of incorporating diverse PPI into the project design, planning, and delivery | Participatory action research | There were no significant differences in perceptions of the app according to sex, age, ethnicity, or length of hospital stay. Those with a disability were significantly less likely to agree that the app was easy to use. Those who had experienced previous surgery were significantly more positive. The majority experienced help in conversations around their care and changed the way they behaved. One third encountered technical difficulties when downloading the app Reflective notes: Patients could care better for themselves; the app promoted confidence and a sense of security, reduced worry, and made them feel less alone |
Timmers et al [40] 2019 | The aim was to investigate the effect of an interactive app on patients’ level of pain, physical functioning, quality of life, satisfaction, and healthcare consumption in the first four weeks of recovery after total knee replacement (TKR) | Randomized controlled trial | Primary outcome: In the intervention group, pain was significantly lower during rest, activity, and night at postoperative weeks 2, 3, and 4 Secondary outcomes: Physical functioning (p = . < 001) and quality of life (p = . < 001) were significantly better in the intervention group at 4 weeks postoperatively. In both groups, the ability to perform physiotherapy exercises and daily self-care activities during the first 4 weeks after discharge increased, and the intervention group performed better from the second week onwards. In both groups, perceptions of hospital involvement in their recovery process decreased during the 4 weeks; the intervention group had a smaller decrease. There was a significant (p = .014) difference in health consumption, in favour of the intervention group. The app was primarily used the first 2 weeks. Information and videos on pain, wound care, physiotherapy exercises, and self-care activities were most frequently used |
Tofte et al. 2020 [41] | The purpose was to (1) implement a software platform to remotely and asynchronously accomplish the typical requisite elements of a postoperative CTR visit, (2) determine whether patients can reliably accomplish these tasks without direct supervision in clinic, and (3) describe characteristics of the software interface and patient population that were associated with patient success | Intervention prospective cohort study | Twelve of 16 (75%) of patients underwent surgery on their dominant extremity. The average time to complete the software modules was 13 min. Eleven (69%) patients used help from an intimate to complete the study objectives. All patients successfully completed dressing removal. Ten (62%) removed their sutures. Fourteen (88%) captured wound photos and classified the wound status. Fifteen (94%) patients successfully answered a question about median nerve symptoms, and 14 (88%) captured a physical exam video. Eight (50%) completed all aspects of the software module. No significant wound complications were identified. Hand dominance, age, self-perception of tech savviness, volume of text messaging, surgical technique, and phone usage activities were not predictive of successful study completion |
Results
Study characteristics
Identified self-care actions | Studies |
---|---|
Preoperative: | |
• life-style changes preparations • preparations | |
Postoperative: | |
• activity/exercises • management of surgical wounds/tracheostomy/removing of sutures • nutritious food • pain management • self-assessments of postoperative recovery (activities, exercises, and symptoms) | • Cnossen et al. 2016 [29], Davidovitch et al. 2018 [30], Russ et al. 2020 [39], Tofte et al. 2020 [41] • Glauser et al. 2017 |
Identified willingness to engage in e-health
Motivation and supportive self-care created in surgical e-health applications
Identified motivational factors to self-care | Studies |
---|---|
Private use of borrowed tablets | Pecorelli et al. 2018 [37] |
Chat features | |
Encouragement of involvement with family and friends | Pickens et al. 2019 [38] |
Educational/instructive texts, photos and/or videos | All included studies |
Monitoring of self-assessed recovery and shown in graphs | |
Personalized care plans | |
Sharing of, • Photos • videos | • Davidovitch et al. 2018 [30], Felbaum et al. 2018 [31], Glauser et al. 2017, Timmers et al. 2019 [40], Tofte et al. 2020 [41] • Tofte et al. 2020 [41] |
Reminders and messages | |
Alerts |