| Literature DB >> 31293241 |
Wenji Qian1,2, Teddy Tai-Ning Lam3, Henry Hon Wai Lam4, Chi-Kong Li5,6, Yin Ting Cheung3.
Abstract
BACKGROUND: The introduction of home therapy for hemophilia has empowered patients and their families to manage the disease more independently. However, self-management of hemophilia is demanding and complex. The uses of innovative interventions delivered by telehealth routes such as social media and Web-based and mobile apps, may help monitor bleeding events and promote the appropriate use of clotting factors among patients with hemophilia.Entities:
Keywords: adherence; clotting factors; hemophilia; self-management; telehealth
Mesh:
Year: 2019 PMID: 31293241 PMCID: PMC6652120 DOI: 10.2196/12340
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1Flowchart of the literature search.
Characteristics of patients in the included studies.
| Study and year | Country | Designa | Sample size (rate) | Disease type (%) | Disease severity | Treatmentb (%) | Age (years), proportion or as indicated | Education level |
| Collins et al, 2003 [ | United Kingdom | OSc longitudinal | Total: 10 | Hemd | NRe | NR | 12-17 years: 70%, 30-45 years: 20%, >50 years: 10% | NR |
| Walker et al, 2004f [ | Canada | RCTg | Total: 41, test: 22, control: 19, rate: 60% | HemAh: 93%, HemBi: 7% | Severe: 100% | Prophylaxis: 59% | Median: 25 years (IQRj: 15-42 years); <18 years: 63%, ≥18: 37% | NR |
| Arnold et al, 2005 [ | Canada | OS/ qualitative | Total: 20 | HemA, HemB | Severe: 100% | NR | Range: 6-43 | NR |
| Pattacini et al, 2009 [ | Italy | OS | Total: 50 | NR | NR | NR | NR | NR |
| Petrini et al, 2009 [ | Denmark, Finland, Norway, Sweden | OS | Total: 57 | HemA: 100% | Moderate: 5%, severe: 95% | All on ReFacto, on demand: 19%, prophylaxis: 81% | Median (range): 17.5 (0.4-57.2) | NR |
| Mondorf et al, 2009 [ | Germany | OS | Total: 10 | HemA | Severe: 100% | On demand: 10%, prophylaxis: 90% | Median (range): 31 (11-48) | NR |
| Vallee-Smejda et al, 2009 [ | Canada | OS | Total: 18, rate: 47% | Hem | Mild, moderate, severe | NR | Range: 2-67; 16-20: 6%, 21-40: 44%, 41-60: 50% | High school: 33%, college: 22%, undergraduate: 28%, doctorate: 6% |
| Leone et al, 2011 [ | United States | OS | Total: 52, rate: 100% | HemA, HemB | NR | Prophylaxis: 100% | All >5 years | NR |
| Broderick et al, 2012 [ | Australia | OS | Total: 104 | HemA, HemB | Moderate, severe | NR | Mean (SD): 9.5 (4.0); range: 4-18 | NR |
| Mulders et al, 2012 [ | The Netherlands | RCT | Total: 30, test: 16, control: 14, rate: 76% | HemA: 77%, HemB: 23% | Mild: 3%, moderate: 36%, severe: 60% | Prophylaxis: 40%, on demand: 26%, both: 34% | Median (range): 33.5 (17-67) | Elementary: 6%, secondary: 43%, vocational advanced: 36%, academic: 4 (13%) |
| Young et al, 2012 [ | United States | OS | Total: 52 | HemA, HemB | ≥4 bleeding events in the prior 3 months | On demand: 71%, ITTk: 10%, prophylaxis: 23% | <18: 48%, ≥18: 52% | NR |
| Breakey et al, 2013 [ | Canada | OS/qualitative | Total: 18, rate: 80% | HemA: 67%, HemB: 22%, Unsure: 11% | Mild: 17%, moderate:17%, severe: 66% | Prophylaxis: 78% | Median (range): 15.5 (13-18) | English speaking in grade 9-12: 67%, French speaking in grade 3-5: 33% |
| Sholapur et al, 2013 [ | Canada | OS | Total: 51, test: 23, others: 28, rate: 62% | NR | NR | NR | <16: 39%, ≥16: 61% | NR |
| Breakey et al, 2014 [ | Canada | RCT | Total: 29, test: 16, control: 13 | HemA: 62%, HemB: 31%, Unsure: 7% | Mild: 21%, moderate: 24%, severe: 55% | Prophylaxis: 76%, inhibitor: 4% | Mean (SD): 15.9 (1.34); range: 13-18 | Grade 10 (median) |
| Hay et al, 2017 [ | United Kingdom | OS | Total: 2683 | HemA: 78%, HemB: 15%, Others: 7% | Mild: 9%, moderate 10%, severe: 81% | NR | NR | NR |
| Cuesta-Barriuso et al, 2018 [ | Spain | OS longitudinal | Total: 43 | HemA: 86%, HemB: 14% | Severe: 91% | Prophylaxis: 100% | Mean (SD): 25.8 (10.3) | Primary: 7%, secondary: 44%, university: 49% |
aDesign: Due to the heterogeneity of methodologies across studies, study designs are classified simply as either randomized controlled trial (RCT) or observational studies for non-RCT studies. Studies that utilized qualitative methods (eg, structured interviews) are specified.
bTreatment percentages may not add up to 100% because respondents might have indicated the use of multiple agents.
cOS: observational study.
dHem: hemophilia.
eNR: not reported.
fPatient sample in Arnold, 2005 [15] is a subset of patients from Walker, 2004 [14].
gRCT: randomized controlled trial.
hHemA: hemophilia A.
iHemB: hemophilia B.
jIQR: interquartile range.
kITT: immune tolerance treatment.
Quality assessment of the included studies. Methodological quality scores of included studies are scored using the “Quality Assessment Tool for Quantitative Studies” developed by the Effective Public Health Practice Project [10].
| Study and year | Selection bias | Study design | Confounders | Blinding | Data collection methods | Withdrawals and dropouts | Intervention integrity | Analyses | Global |
| Collins et al, 2003 [ | Weak | Moderate | N/Aa | Weak | Weak | Moderate | Moderate | Weak | Weak |
| Walker et al, 2004 [ | Moderate | Strong | Strong | Moderate | Strong | Strong | Moderate | Strong | Strong |
| Arnold et al, 2005 [ | Weak | Weak | Weak | Weak | Moderate | N/A | Moderate | Moderate | Weak |
| Pattacini et al, 2009 [ | Weak | Weak | N/A | Weak | Weak | N/A | Moderate | Moderate | Weak |
| Petrini et al, 2009b [ | Moderate | Weak | N/A | Weak | Weak | Moderate | Moderate | Weak | Weak |
| Mondorf et al, 2009 [ | Weak | Weak | N/A | Weak | Weak | Moderate | Weak | Weak | Weak |
| Vallee-Smejda et al, 2009 [ | Weak | Moderate | N/A | Weak | Weak | Weak | Moderate | Weak | Weak |
| Leone et al, 2011 [ | Moderate | Moderate | N/A | Weak | Weak | Strong | Strong | Weak | Moderate |
| Broderick et al, 2012 [ | Moderate | Moderate | Moderate | Weak | Strong | Strong | Moderate | Weak | Moderate |
| Mulders et al, 2012 [ | Moderate | Strong | Moderate | Moderate | Moderate | Strong | Moderate | Moderate | Moderate |
| Young et al, 2012 [ | Weak | Moderate | N/A | Weak | Moderate | Moderate | Moderate | Moderate | Moderate |
| Breakey et al, 2013 [ | Moderate | Moderate | N/A | Weak | Moderate | N/A | Moderate | Moderate | Moderate |
| Sholapur et al, 2013 [ | Weak | Weak | Weak | Weak | Weak | N/A | Weak | Moderate | Weak |
| Breakey et al, 2014 [ | Moderate | Strong | Moderate | Weak | Strong | Strong | Moderate | Strong | Strong |
| Hay et al, 2017 [ | Moderate | Weak | Strong | Weak | Strong | N/A | Moderate | Strong | Strong |
| Cuesta-Barriuso et al, 2018 [ | Moderate | Moderate | N/A | Weak | Strong | Moderate | Strong | Strong | Moderate |
aN/A: not applicable.
Characteristics of telehealth interventions and main outcomes.
| Study | Intervention features | Patient-/caregiver-focused outcomes | Implementation and intervention-focused outcomes | Findings |
| Collins et al, 2003 [ | Advoy.com (internet-based electronic patient treatment record and communication system) Documented bleeding event, infusion log, and symptoms Triggers and alerts can be set by clinicians Patient contacted by phone Duration: 8 weeks | Perceived value of intervention | Comparison of electronic and previous paper treatment records | Reported electronic recording to be easier for treatment log: 8 patients (80%) Reported electronic recording to be worse for treatment log: 2 patients (20%) Reported electronic treatment log to be more accurate: 9 patients (90%) |
| Walker et al, 2004 [ | Dialog: Electronic diary Handheld computer Documented infusion, bleeding event, symptoms, and productivity Data transmitted to clinic Bar code reader for medications Single reminder phone call at the end of every month Preintervention training for patients Duration: 6 months | —a | Usage metrics Accuracy and comprehensiveness of data | 86.2% of infusions by patients in the intervention group were adherent with the data submission schedule, as compared to only 48.3% in the control group The time intervals between infusions and the receipt of data were shorter in the intervention group (median 0.25 days) as compared to the control group (25 days). Accuracy of data was similar for both methods. Reminder phone calls by the clinic made less frequently to the intervention group (median: 1 time/month) as compared to the control group (median: 5 times/month) |
| Arnold et al, 2005 [ | Dialog: Electronic diary Handheld computer (as in [ | Patients’ preferred choice of recording method: paper diaries versus handheld computers through semistructured interviews | Usage metrics | All patients preferred using handheld computers to using paper diaries 90% believed that their adherence to record keeping had improved using handheld computers |
| Pattacini et al, 2009 [ | “xl_Emofilia” (Web-based app) Record bleeding events and home infusions Collaborating sites have access to patient data Preintervention training for patients | Level of patient satisfaction | Usage metrics Degree of accuracy from validation | 825 log-ins made 105 bleeding episodes or traumatic events recorded Degree of accuracy: 80% in the first month and 95% in the subsequent period High degree of acceptance among patients |
| Petrini et al, 2009b [ | Electronic diary Handheld computer Documented bleeding event | — | Usage metrics | Adherence was lower than expected, with ≤50% reporting accurately during the entire study period. Some patients reported a large number of infusions from a long time period, on one day. Technical problems were a major contributing factor to poor adherence. Examination of the diary data revealed useful information on the management of bleeding episodes. |
| Mondorf et al, 2009 [ | Haemoassist (handheld electronic diary) Documented bleeding event and factor infusion Access to patient data by clinicians Alert function to warn patients and physicians of critical clinical events Duration: 3-12 months | Patient satisfaction | Feasibility Usage metrics | Very satisfied: 2 patients Moderately satisfied: 4 patients Not satisfied: 1 patient Nine patients continued the electronic documentation after the study. On-demand patients do not see any benefit in an electronic documentation system. |
| Vallee-Smejda et al, 2009 [ | Advoy.com (internet-based electronic patient treatment record and communication system) Duration: 6 months | Adherence to recording Patient satisfaction | Usage metrics | Significantly more patients (29.4%) indicated satisfaction with electronic recording, as compared with paper records (6.7%). Electronic recording significantly improved patient adherence in recording mandatory treatment information. Electronic recording resulted in providing additional health data. |
| Leone et al, 2011 [ | HeliTrax System handheld monitoring device Duration: 3 months | Perceived value of intervention | Usage metrics Ease of use Proficiency of generated reports | 86% of patients rated higher value for electronic recording over traditional paper logging. Approximately 90% of patients rated the ease of tracking as good or excellent. Approximately 80% of patients rated the picture-taking capability and importance of that feature as good. |
| Broderick et al, 2012 [ | Weekly SMSc to monitor incidence of bleeding episodes Duration: 52 weeks | — | Response rate (proportion of weeks in which participants responded to the SMS) Cost | Response rate: 86.8% Small but significant decrease in response rate over 52 weeks Use of SMS is associated with high response rates and minimal expense and intrusion. |
| Mulders et al, 2012 [ | E-learning (online course) Interactive multimedia program Education on home treatment of hemophilia Duration: 1 month | Knowledge on home treatment Practical skills: self-injection Self-efficacy | Significantly higher levels of theoretical knowledge and practical skills in the intervention group, as compared to the control group. No group difference in self-efficacy | |
| Young et al, 2012 [ | Electronic diary Internet-based entries submitted in real time Documented bleeding event, productivity, HRQoLd, and pain assessment Weekly contact by patient support liaison personnel | — | Usage metrics Degree of accuracy from validation | Adults: 1364 paper and electronic diary days Caregivers: 1165 paper and electronic diary days Exact agreement observed between electronic and paper records for 93% of the HRQoL scores reviewed |
| Breakey et al, 2013 [ | “Teens Taking Charge: Managing Hemophilia Online” (interactive website to help patients transit from pediatric to adult care) Include hemophilia-specific education, self-managementstrategies, images, interactive animations, quizzes, and a glossary | Participants’ satisfaction Qualitative usability testing approach with audio-taped observation and semistructured interviews | User performance | Adolescent patients responded positively to the content and appearance of the website. Adolescent patients felt that it was easy to navigate and understand The multimedia components (videos, animations, and quizzes) enriched their experience. |
| Sholapur et al, 2013 [ | EZ-Log Web Client (electronic diary) | Identify strengths and challenges of traditional vs electronic diaries | Usage metrics | Advantages: ease of use, improved accuracy, and less time consuming Disadvantage: Technical errors and inability to make corrections that require contact with the clinic Suggestions: Saving infusion history, incorporating barcode scanners |
| Breakey et al, 2014 [ | Eight-module online program Interactive content Animations, illustrations, and knowledge quizzes Duration: 8-10 weeks | Disease-specific knowledge HRQoL Self-efficacy Self-management ability and transition readiness Program satisfaction | Not applicable | Significant improvement in disease-specific knowledge, self-efficacy, and transition preparedness in the intervention group Program informative, comprehensive, and easy to use |
| Hay et al, 2017 [ | Haemtrack (electronic home treatment diary) interfaces with the UK Haemophilia Centre Information System and theNational Haemophilia Database Documented bleeding event, infusion log, pain assessment, and outcome | Adherence to electronic recording | Usage metrics | Electronic diary used by 90% of participating hemophilia treatment centers 72% (1923/2683) of patients used electronic diary, entering >17,000 treatments per month Adherence to reporting varied, and 55% of patients reported ≥75% of expected factor usage. No relationship between the patient’s age and the type of reporting medium preferred |
| Cuesta-Barriuso et al, 2018 [ | Medtep Hemophilia online platform (electronic diary and reminder) Documented infusion log, physical activities, and bleeding event Unrestricted real-time access by clinicians to patient’s data Duration: 12 months | Adherence to prophylactic treatment HRQoL Perception of illness Joint health | Usage metrics | Two-thirds of patients consistently had above 80% adherence. Significant increase in treatment adherence from baseline to 1 month, 6 months, and 12 months after intervention Significant improvement in HRQoL and illness perception from baseline to 12 months. No change in joint health |
aNot applicable.
bThe primary objective of this study was to evaluate the efficacy of ReFacto, with the use of an electronic diary as the mode of documentation for bleeding events. Evaluating the effectiveness of electronic diary was an exploratory objective of this study.
cSMS: short message service.
dHRQoL: health-related quality of life.
Figure 2Ideal features of a mobile app to improve self-management in patients with hemophilia.