| Literature DB >> 34581521 |
Jong Il Park1, Hwa Young Lee2, Hyunah Kim3, Jisan Lee4,5, Jiwon Shinn6, Hun-Sung Kim6,7.
Abstract
Various digital healthcare devices and apps, such as blood glucose meters, blood pressure monitors, and step-trackers are commonly used by patients; however, digital healthcare devices have not been widely accepted in the medical market as of yet. Despite the various legal and privacy issues involved in their use, the main reason for its poor acceptance is that users do not use such devices voluntarily and continuously. Digital healthcare devices generally do not provide valuable information to users except for tracking self-checked glucose or walking. To increase the use of these devices, users must first understand the health data produced in the context of their personal health, and the devices must be easy to use and integrated into everyday life. Thus, users need to know how to manage their own data. Medical staff must teach and encourage users to analyze and manage their patient-generated healthcare data, and users should be able to find medical values from these digital devices. Eventually, a single customized service that can comprehensively analyze various medical data to provide valuable customized services to users, and which can be linked to various heterogeneous digital healthcare devices based on the integration of various health data should be developed. Digital healthcare professionals should have detailed knowledge about a variety of digital healthcare devices and fully understand the advantages and disadvantages of digital healthcare to help patients understand and embrace the use of such devices.Entities:
Keywords: Delivery of Health Care; Nurses; Pharmacists; Quality of Health Care; Wearable Electronic Devices
Mesh:
Year: 2021 PMID: 34581521 PMCID: PMC8476935 DOI: 10.3346/jkms.2021.36.e253
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 2.153
Fig. 1Repetitive vicious cycle structure of the use of digital healthcare and avoidance alternative.
When creating a single digital healthcare devices or app, it must be designed so that each of these steps can be carried out from the beginning. Therefore, collaboration between medical staff and industry professionals and active intervention by medical staff from the beginning is important.
Digital healthcare studies that did not demonstrate significant effects
| Author | Year | Study period | Disease | Study design | Outcome |
|---|---|---|---|---|---|
| Widmer et al. | 2017 | 180 days | Cardiac rehabilitation | RCT | Improved weight loss ( |
| DHI (n = 37) vs. control (n = 34) | Non-significant in CV-related hospitalization & ER visit ( | ||||
| Kim et al. | 2019 | 1–3 months | Obstructive sleep apnea | RCT | Body weight reduction compared to control |
| App + wearable (n = 15) vs. app only (n = 15) vs. control (n = 13) | No change in sleep-related health outcome | ||||
| Sung et al. | 2019 | Gestational DM | RCT | No difference in glycemic index decreased BMI ( | |
| DHI (n = 11) vs. control (n = 10) | |||||
| Anand et al. | 2016 | 1 year | Myocardial infarction | RCT | No difference in MI score ( |
| DHI (n = 169) vs. control (n = 174) | No difference in fully adjusted model ( | ||||
| McElroy et al. | 2016 | After cardiac surgery | Prospective study | Similar readmission rate (7.4% vs. 9.9%, | |
| DHI (n = 27) vs control (n = 416) | |||||
| Haung et al. | 2019 | 12 weeks | DM | RCT | Improved awareness of medication adherence ( |
| App (n = 22) vs. control (n = 19) | No improvement in clinical outcomes (HbA1C, lipid profile, BMI) | ||||
| Suman et al. | 2019 | 3–12 months | Non-specific back pain | Cluster randomized trial | No difference in back pain relief |
| DHI (n = 331) vs. control (n = 448) | No difference in social cost | ||||
| Koehler et al. | 2011 | 26 months | Chronic heart failure | RCT | No effect on all-cause mortality ( |
| DHI (n = 354) vs. control (n = 356) | No effect on cardiovascular death ( | ||||
| Stukus et al. | 2018 | 6 months | Child asthma (6–21 years) | RCT | No difference in ER or urgent care visit |
| DHI (n = 98) vs. control (n = 95) | No difference in hospitalization ( |
RCT = randomized controlled trial, DHI = digital health intervention (such as app or digital healthcare devices and so on), CV = cardiovascular, ER = emergency room, DM = diabetes mellitus, BMI = body mass index.
Reasons why users do not use digital healthcare constantly
| Problems | Possible solutions | ||
|---|---|---|---|
| Before purchase of digital healthcare devices | |||
| Lack of interest in healthcare | Need for healthcare management education | ||
| - Lack of understanding of chronic diseases | Education on the necessity of checking in daily life | ||
| Lack of motivation for health improvement | Promoting social consensus on necessity | ||
| - Good access to hospital | |||
| - Hassle, troublesome | |||
| Lack of expectations | |||
| Not desperately needed | |||
| Uneasy about depending on it | |||
| When to purchase a digital healthcare devices | |||
| Burden of purchase cost | Alternative ways of documenting health information and managing illnesses | ||
| Difficulty in the registration process before use | |||
| Difficulty learning how to use | |||
| Digital healthcare devices in use | |||
| Difficult to use/operate | Secure evidence | ||
| Busy, troublesome, annoying | Training and securing digital healthcare professionals | ||
| Continuously check and monitor results | Need of a group of operational experts | ||
| Feedback quality is poor | Education on self-health management | ||
| Service is perceived as spam | Providing immediate service | ||
| No feedback that could cause behavior change | User interface/user experience design | ||
| Over time, the same pattern is no longer new | Discarding existing unnecessary things | ||
| Poor digital literacy | Continuous content upgrade | ||
| Fear of personal information exposure | From invasive to non-invasive check | ||
| Do not understand the service | From intermittent to continuous check | ||
| Need a constant helper | Strengthening the security system | ||
| The question of whether the data is reliable (result) | Paradoxically, aiming at a point in time that can be managed without system help | ||
| Doesn't fit user's style (Inhuman message/service) | |||
| Low reliability | |||
Fig. 2Integrated digital healthcare devices linkage solution.
One type of medical data does not provide adequate information about health conditions. It is necessary to use a variety of digital healthcare devices and to simplify the use of the app. It is also necessary to prepare an integrative system that can properly collect and analyze various data.