Improving patient health engagement with mobile texting: A pilot study in the head and neck postoperative setting

Sosa, Alan; Heineman, Nathan; Thomas, Kris G.; Tang, Kai; Feinstein, Marie; Martin, Michelle Y.; Sumer, Baran D.; Schwartz, David L.

doi:10.1002/hed.24718

Cited by 33 publications

(26 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…PGHD have the potential to change the paradigm for existing normal ranges [ 2 ]. Information gathering through patient health platforms is expected to benefit medical care and patient health outcomes [ 9 - 14 ]. Meanwhile, there are concerns about the construction of such patient health platforms [ 10 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data

Park

Lee

Kim

et al. 2018

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

BackgroundPersonal health records (PHRs) and mHealth apps are considered essential tools for patient engagement. Mobile PHRs (mPHRs) can be a platform to integrate patient-generated health data (PGHD) and patients’ medical information. However, in previous studies, actual usage data and PGHD from mPHRs have not been able to adequately represent patient engagement.ObjectiveBy analyzing 5 years’ PGHD from an mPHR system developed by a tertiary hospital in South Korea, we aimed to evaluate how PGHD were managed and identify issues in PGHD management based on actual usage data. Additionally, we analyzed how to improve patient engagement with mPHRs by analyzing the actively used services and long-term usage patterns.MethodsWe gathered 5 years (December 2010 to December 2015) of log data from both hospital patients and general users of the app. We gathered data from users who entered PGHD on body weight, blood pressure (BP), blood glucose levels, 10-year cardiovascular disease (CVD) risk, metabolic syndrome risk, medication schedule, insulin, and allergy. We classified users according to whether they were patients or general users based on factors related to continuous use (≥28 days for weight, BP, and blood glucose, and ≥180 days for CVD and metabolic syndrome), and analyzed the patients’ characteristics. We compared PGHD entry counts and the proportion of continuous users for each PGHD by user type.ResultsThe total number of mPHR users was 18,265 (patients: n=16,729, 91.59%) with 3620 users having entered weight, followed by BP (n=1625), blood glucose (n=1374), CVD (n=764), metabolic syndrome (n=685), medication (n=252), insulin (n=72), and allergy (n=61). Of those 18,256 users, 3812 users had at least one PGHD measurement, of whom 175 used the PGHD functions continuously (patients: n=142, 81.14%); less than 1% of the users had used it for more than 4 years. Except for weight, BP, blood glucose, CVD, and metabolic syndrome, the number of PGHD records declined. General users’ continuous use of PGHD was significantly higher than that of patients in the blood glucose (P<.001) and BP (P=.03) functions. Continuous use of PGHD in health management (BP, blood glucose, and weight) was significantly greater among older users (P<.001) and men (P<.001). In health management (BP, weight, and blood glucose), overall chronic disease and continuous use of PGHD were not statistically related (P=.08), but diabetes (P<.001) and cerebrovascular diseases (P=.03) were significant.ConclusionsAlthough a small portion of users managed PGHD continuously, PGHD has the potential to be useful in monitoring patient health. To realize the potential, specific groups of continuous users must be identified, and the PGHD service must target them. Further evaluations for the clinical application of PGHD, feedback regarding user interfaces, and connections with wearable devices are needed.

show abstract

Section: Introductionmentioning

confidence: 99%

Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data

Park

Lee

Kim

et al. 2018

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…smartphone apps and an Internet-based program for mental health management,[47 48] and a text-messaging tool to improve postoperative care [49]. Measures of use in these studies included any use of the tools and frequency of interactions with the tools.DISCUSSIONIn this review of recent evidence, we found only 29 studies evaluating use by patient characteristics.…”

mentioning

confidence: 99%

Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review

Nouri

Adler‐Milstein

Thao

et al. 2020

Journal of the American Medical Informatics Association

View full text Add to dashboard Cite

Objective The study sought to determine which patient characteristics are associated with the use of patient-facing digital health tools in the United States. Materials and Methods We conducted a literature review of studies of patient-facing digital health tools that objectively evaluated use (eg, system/platform data representing frequency of use) by patient characteristics (eg, age, race or ethnicity, income, digital literacy). We included any type of patient-facing digital health tool except patient portals. We reran results using the subset of studies identified as having robust methodology to detect differences in patient characteristics. Results We included 29 studies; 13 had robust methodology. Most studies examined smartphone apps and text messaging programs for chronic disease management and evaluated only 1-3 patient characteristics, primarily age and gender. Overall, the majority of studies found no association between patient characteristics and use. Among the subset with robust methodology, white race and poor health status appeared to be associated with higher use. Discussion Given the substantial investment in digital health tools, it is surprising how little is known about the types of patients who use them. Strategies that engage diverse populations in digital health tool use appear to be needed. Conclusion Few studies evaluate objective measures of digital health tool use by patient characteristics, and those that do include a narrow range of characteristics. Evidence suggests that resources and need drive use.

show abstract

“…Former discharge letter interventions intended to improve information flow between hospitals and general practitioners [ 8 – 10 ]. Recently, with the evolving concept of patient-centred communication, discharge information increasingly aims to address the patient directly, also with the help of modern technology such as reminders sent to the patient via short message service [ 11 – 13 ], or letters sent electronically thus entirely replacing the conventional paper-based transmission [ 14 , 15 ]. It could be demonstrated that patient-directed discharge information significantly improved patient understanding of the reason for hospitalisation and post-discharge recommendations [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Design and preliminary evaluation of a newly designed patient-friendly discharge letter – a randomized, controlled participant-blind trial

Smolle

Schwarz

Hoffmann

et al. 2021

BMC Health Serv Res

View full text Add to dashboard Cite

Background Low health literacy has been associated with poor health outcome and impaired use of healthcare services. The hospital discharge letter represents a key source of medical information for patients and can be used to address the problem of low health literacy. The aim of this project was to develop and evaluate a new, patient-directed, version of the discharge letter. Methods Based upon two conventional discharge letters (CDL; one surgical and one medical letter), two new, patient-friendly discharge letters (PFDL) were designed following 5 key principles: short sentences, few abbreviations, large font size, avoidance of technical terms and no more than 4 pages length. Medical undergraduates were randomized into two blinded groups (CDL, PFDL) and asked to assess the assigned letter for the 3 domains structure, content and patient-friendliness. Subsections were rated on a 6-point Likert scale (1 = completely agree, 6 = completely disagree), the results of the survey were compared using the Mann-Whitney-U-Test with a p < 0.05 being the level of significance. Results In total, 74 undergraduates participated in this study. PFDL (35 participants) were rated significantly better than CDL (39 participants) regarding structure (median 1 vs. 2, p = 0.005), content (1 vs. 3, p < 0.001) and patient-friendliness (2 vs. 6, p < 0.001). Of all 17 subsections, PFDL were rated significantly better in 12 cases, and never worse than CDL. Conclusions PFDL were rated significantly better than their CDL counterparts. Medical undergraduates were considered the ideal cohort, not being medical lays and yet unbiased regarding everyday clinical practice procedures. Further tests evaluating the impact of the PFDL on patient comprehension and health literacy are necessary.

show abstract

Improving patient health engagement with mobile texting: A pilot study in the head and neck postoperative setting

Cited by 33 publications

References 21 publications

Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data

Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data

Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review

Design and preliminary evaluation of a newly designed patient-friendly discharge letter – a randomized, controlled participant-blind trial

Contact Info

Product

Resources

About