Table 1.
Paper | Design | Sample | Intervention (e Health tools) | Patient engagement related outcomes |
---|---|---|---|---|
Aberger et al., 2014 | One group of patients reporting self-monitored blood pressure | 66 post renal transplant patients | A tele-health system that incorporates electronic blood pressure (BP) self-monitoring by the patients, uploading to a patient portal and a Web-based dashboard that enables clinical pharmacist collaborative care in a renal transplant clinic | −75% of patients monitored themselves at least once, and 69% achieved the minimum of six readings and obtained a BP average |
Agarwal et al., 2013 | One group of questionnaire respondents (model estimated with moderated multiple regression) | 283 adult chronic patients | PHRs (health information management tools to store, retrieve, and manage personal health information and stimulate health action) | - significant relationship between satisfaction with health care provider and intentions to use the tool - significant positive interaction between the perceived value of the tool and patient activation in their effects on intentions to use |
Meglic et al., 2010 | Pilot study comparing two groups of patients receiving treatment as usual (physician visits and antidepressant treatment) and treatment as usual with eHealth intervention | 46 patients with depressive disorders | Web-based information and communication technology system, to support collaborative care management and active patient engagement, and online and phone-based care management performed by trained psychologists | - higher medication adherence - reduced depressive symptoms - higher perception of care quality - improved access to care - improved access to information |
Quinn et al., 2011 | cluster-randomized clinical trial with four groups (control–usual care vs. coach-only vs. coach PCP portal vs. coach PCP portal with decision support) | 163 adult diabetes patients | - mobile application coaching - patient/provider web portals |
No appreciable differences between groups for patient-reported diabetes distress and depression |
Robertson et al., 2006 | One group, repeated measures | 144 depressed patients | RecoveryRoad that is a eHealth system designed to augment the routine clinical treatment of depression | - high adherence to the system - average depression severity declined from severe to mild - both clinicians and patients were generally satisfied with the programme and reported that it improved clinician-patient relationships |
Saberi et al., 2013 | Pilot study with qualitative methods | 14 HIV-positive young patients | A tele-health medication counseling session | - Qualitative findings: the eHealth tool was effective in improving the quality of patient-provider dialog |
Schrader et al., 2014 | A pilot study testing the feasibility of the program (one small group of patients) | 8 recently hospitalized patients from rural areas | An online-management program for both patients and health care workers, accessible by either Web-enabled mobile phone or Internet, enabling patient-clinician communication | - Qualitative findings: patients' low information technologies literacy, interaction problems related to the illness conditions and technical limitations (for example: drop-out of rural Internet connections) constitute barriers to the technology enhancing patient engagement |
Sharry et al., 2013 | One group, repeated measures | 80 university students with depression symptoms | An online, therapist-supported, CBT-based program for depression | - high level of engagement compared to a previous study - significant decreases in depression symptoms after the intervention |
Solomon et al., 2012 | Randomized control trial with two groups. (The participants in the Intervention Group had access to MyHealth Online, a patient portal featuring interactive health applications accessible via the Internet. Control group had access to a health education website featuring various topics). Parametric statistical models (t-test, analysis of variance, analysis of covariance) were applied to draw inferences | 201 chronic adult patients (diagnosed with asthma, hypertension, or diabetes) | Web-based intervention on the patient activation levels for patients with chronic health conditions, measured as attitudes toward knowledge, skills, and confidence in self-managing health | - improvements (positive and significant effect) in patients' knowledge, skills, and self-efficacy to self-manage their health in the intervention group |
Tang et al., 2013 | Randomized controlled trial—intervention (INT) vs. usual care (UC) | 415 patients with type 2 diabetes | The intervention included: (1) wirelessly uploaded home glucometer readings with graphical feedback; (2) comprehensive patient-specific diabetes summary status report; (3) nutrition and exercise logs; (4) insulin record; (5) online messaging with the patient's health team; (6) nurse care manager and dietitian providing advice and medication management; and (7) personalized text and video educational ‘nuggets’ dispensed electronically by the care team | - the intervention group had significantly better control of their LDL cholesterol at 12 months - the intervention group had significantly lower treatment-distress scores compared with those in the usual group - the intervention group also had greater overall treatment satisfaction and willingness to recommend treatment to others at 12 months. - enhanced active participation in measurement and communication with the health providers |
Vest and Miller, 2011 | One group (model estimated with ordinary least square regression) | 3278 hospitals (patients' self-reports about satisfaction were assessed) | Implemented HIE (information technology for inter-organizational sharing of patient information) | - hospitals' level of HIE not associated with the percentage of patients reporting doctors communicated well. - implemented HIE associated with the percentage of patients who reported nurses always communicated well and who would definitely recommend the hospital. |