| Literature DB >> 35646381 |
Siyu Zhou1, Kai Li2, Astushi Ogihara3, Xiaohe Wang1.
Abstract
Objective: This study aimed to investigate the perceptions of traditional Chinese medicine doctors about wearable devices and diagnostic instruments and explore the factors that influence them.Entities:
Keywords: Wearable device; grounded theory; perceptions; pulse diagnosis; traditional Chinese medicine
Year: 2022 PMID: 35646381 PMCID: PMC9134401 DOI: 10.1177/20552076221102246
Source DB: PubMed Journal: Digit Health ISSN: 2055-2076
Results of factor analysis after rotation.
| Categories | Items | 1 | 2 | 3 |
|---|---|---|---|---|
| Reliability | Reliability in accuracy (TCM diagnostic instruments) | 0.833 | ||
| Reliability in accuracy (wearable devices) | 0.830 | |||
| Reliability in principles (TCM diagnostic instruments) | 0.789 | |||
| Reliability in principles (wearable devices) | 0.744 | |||
| Convenience | Ease of use (TCM diagnostic instruments) | 0.693 | ||
| Ease of use (wearable devices) | 0.665 | |||
| Degree of comfort (TCM diagnostic instruments) | 0.654 | |||
| Degree of comfort (wearable devices) | 0.552 | |||
| Benefits evaluation | Efficiency diagnosis (TCM diagnostic instruments) | 0.747 | ||
| Efficiency diagnosis (wearable devices) | 0.668 | |||
| Misdiagnosis rate (TCM diagnostic instruments) | 0.534 | |||
| Misdiagnosis rate (wearable devices) | 0.506 |
TCM doctors’ information.
| ID | Gender | Age | Title | Working years | Wearable device | TCM diagnostic instrument |
|---|---|---|---|---|---|---|
| Doctor 1 | Male | 55 | Chief | 32 | Smart wristband | Pulse diagnosis instrument |
| Doctor 2 | Male | 49 | Associate chief | 15 | Smart wristband | Pulse diagnosis instrument; Meridian diagnosis instrument |
| Doctor 3 | Female | 59 | Chief | 35 | Smart wristband | Pulse diagnosis instrument |
| Doctor 4 | Male | 36 | Associate chief | 11 | Smart wristband | Pulse diagnosis instrument; Meridian diagnosis instrument |
| Doctor 5 | Male | 39 | Associate chief | 12 | Smart wristband | Pulse diagnosis instrument |
| Doctor 6 | Male | 76 | Chief | 54 | Smart wristband | Pulse diagnosis instrument |
| Doctor 7 | Male | 42 | Associate chief | 15 | Smart wristband; Smart watch | Pulse diagnosis instrument |
| Doctor 8 | Male | 67 | Chief | 37 | Smart wristband | Pulse diagnosis instrument |
| Doctor 9 | Male | 41 | Associate chief | 16 | Smart wristband; Smart watch | Pulse diagnosis instrument |
| Doctor 10 | Female | 35 | Attending | 10 | Smart wristband | Pulse diagnosis instrument |
Coding and categorization of TCM doctor data.
| Selective coding | Axial coding-TCM doctors |
|---|---|
| Proprioceptive effect Carrying convenience Comfortable feeling Convenient operation Interface humanity | 1. Digital technology has facilitated the miniaturization
and weight reduction of diagnostic instruments. |
| Sense of trust Principle of the machine Instrument accuracy Instrument durability Reference to diagnosis | 4. TCM diagnostic instruments used motion capture technology
to imitate TCM diagnostic procedures. |
| Suitable population Age distinction Disease differentiation | 8. There are differences in the application of wearable
devices in different age groups. |
| Machine usage scenario Daily life Educational institution Primary medical institutions | 10. Wearable devices are suitable for health monitoring in
daily life. |
| Combination of TCM and ICT Integration of TCM and wearable functions Interpretation of the diagnosis results | 13. The miniaturization and light weight of TCM diagnostic
instruments are helpful for the application of TCM diagnosis
in daily life. |
Scores of reliability, convenience, and benefits evaluation.
| Item | Reliability | Convenience | Benefits evaluation | |||
|---|---|---|---|---|---|---|
| Reliability in accuracy | Reliability in principles | Ease of use | Degree of comfort | Efficiency diagnosis | Misdiagnosis rate | |
| Wearable devices | 2.5 ± 0.9 | 3.0 ± 0.9 | 3.4 ± 0.9 | 3.9 ± 0.8 | 3.2 ± 0.7 | 3.2 ± 0.6 |
| TCM diagnostic instruments | 2.8 ± 0.9 | 3.5 ± 0.5 | 2.8 ± 0.6 | 2.6 ± 0.6 | 3.4 ± 0.7 | 3.5 ± 0.7 |
The univariate analysis of reliability, convenience, and benefits evaluation.
| Items | Score of wearable devices | Score of TCM diagnostic instruments | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reliability |
| Convenience |
| Benefits evaluation |
| Reliability |
| Convenience |
| Benefits evaluation |
| |
| Gender | ||||||||||||
| Male | 2.8 ± 0.8 | 0.12 | 3.6 ± 0.8 | 0.03 | 3.2 ± 0.5 | 0.14 | 3.1 ± 0.5 | 0.02 | 2.6 ± 0.5 | <0.01 | 3.4 ± 0.6 | 0.13 |
| Female | 2.7 ± 0.9 | 3.5 ± 0.8 | 3.2 ± 0.6 | 3.2 ± 0.6 | 2.7 ± 0.6 | 3.4 ± 0.5 | ||||||
| Age | ||||||||||||
| <30 | 3.7 ± 0.3 | <0.01 | 4.3 ± 0.4 | <0.01 | 3.6 ± 0.3 | <0.01 | 3.2 ± 0.5 | <0.01 | 2.7 ± 0.5 | <0.01 | 3.5 ± 0.5 | <0.01 |
| 30–39 | 3.2 ± 0.5 | 4.1 ± 0.6 | 3.5 ± 0.4 | 3.4 ± 0.5 | 2.8 ± 0.6 | 3.6 ± 0.4 | ||||||
| 40–49 | 2.6 ± 0.4 | 3.6 ± 0.6 | 3.2 ± 0.5 | 3.1 ± 0.4 | 2.7 ± 0.4 | 3.5 ± 0.5 | ||||||
| 50–59 | 1.5 ± 0.5 | 2.2 ± 0.6 | 2.4 ± 0.5 | 3.0 ± 0.6 | 2.5 ± 0.6 | 3.2 ± 0.7 | ||||||
| ≥60 | 1.5 ± 0.3 | 2.7 ± 0.4 | 2.6 ± 0.4 | 2.6 ± 0.5 | 2.2 ± 0.5 | 3.0 ± 0.6 | ||||||
| Type of hospital | ||||||||||||
| Comprehensive | 2.9 ± 0.8 | 0.82 | 3.8 ± 0.7 | 0.01 | 3.4 ± 0.5 | 0.31 | 3.2 ± 0.5 | 0.82 | 2.7 ± 0.5 | 0.88 | 3.5 ± 0.5 | 0.67 |
| Primary | 2.6 ± 0.8 | 3.4 ± 0.9 | 3.1 ± 0.5 | 3.1 ± 0.5 | 2.6 ± 0.5 | 3.4 ± 0.6 | ||||||
| Specialty | ||||||||||||
| Internal | 2.6 ± 0.8 | 0.71 | 3.5 ± 0.9 | 0.34 | 3.2 ± 0.5 | 0.27 | 3.1 ± 0.6 | <0.01 | 2.6 ± 0.5 | 0.31 | 3.3 ± 0.6 | <0.01 |
| Surgeon | 2.9 ± 0.8 | 3.8 ± 0.8 | 3.2 ± 0.6 | 3.3 ± 0.5 | 2.8 ± 0.5 | 3.5 ± 0.5 | ||||||
| Title | ||||||||||||
| Resident | 3.5 ± 0.5 | <0.01 | 4.2 ± 0.4 | <0.01 | 3.5 ± 0.3 | <0.01 | 3.2 ± 0.5 | <0.01 | 2.7 ± 0.5 | <0.01 | 3.4 ± 0.5 | <0.01 |
| Attending | 3.2 ± 0.5 | 4.2 ± 0.6 | 3.5 ± 0.3 | 3.4 ± 0.4 | 2.8 ± 0.5 | 3.7 ± 0.4 | ||||||
| Associate chief | 2.5 ± 0.5 | 3.6 ± 0.6 | 3.3 ± 0.5 | 3.1 ± 0.4 | 2.7 ± 0.4 | 3.4 ± 0.5 | ||||||
| Chief | 1.6 ± 0.4 | 2.4 ± 0.6 | 2.5 ± 0.5 | 2.8 ± 0.6 | 2.4 ± 0.5 | 3.1 ± 0.7 | ||||||
Correlation analyses of reliability, convenience, and benefits evaluation.
| Wearable devices | TCM diagnostic instruments | ||||||
|---|---|---|---|---|---|---|---|
| Reliability | Convenience | Benefits evaluation | Reliability | Convenience | Benefits evaluation | ||
| Reliability | 1 | Reliability | 1 | ||||
| Convenience | 0.82** | 1 | Convenience | 0.68** | 1 | ||
| Benefits evaluation | 0.70** | 0.75** | 1 | Benefits evaluation | 0.62** | 0.49** | 1 |
**p < 0.01.
The binary logistic regression analysis of reliability, convenience, and benefits evaluation.
| Items | Score of wearable devices | Score of TCM diagnostic instruments | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reliability OR (95%CI) |
| Convenience OR (95%CI) |
| Benefits evaluation OR (95%CI) |
| Reliability OR (95%CI) |
| Convenience OR (95%CI) |
| Benefits evaluation OR (95%CI) |
| |
| Gender | 0.12 | 0.33 | 0.3 | 0.19 | 0.04 | 0.38 | ||||||
| Female | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | ||||||
| Male | 1.5 (0.8–2.9) | 1.3 (0.7–2.3) | 1.4 (0.8–2.1) | 0.7 (0.5–1.1) | 0.5 (0.3–0.9) | 0.8 (0.5–1.2) | ||||||
| Age | 0.02 | 0.77 | <0.01 | 0.67 | <0.01 | <0.01 | ||||||
| ≥40 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | ||||||
| <40 | 4.1(1.2–14.2) | 1.2 (0.3–4.4) | 9.1 (2.5–33.3) | 0.7 (0.3–2.4) | 12.8 (3.3–29.9) | 2.6 (1.7–4.1) | ||||||
| Type of hospital | <0.01 | <0.01 | <0.01 | 0.72 | 0.78 | 0.58 | ||||||
| Comprehensive | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | ||||||
| Primary | 3.2 (1.7–5.8) | 3.7 (2.1–6.7) | 3.5 (2.1–6.1) | 1.1 (0.7–1.6) | 0.9 (0.4–1.7) | |||||||
| Specialty | 0.51 | 0.04 | 0.91 | 0.81 | 0.08 | 0.01 | ||||||
| Internal | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | ||||||
| Surgeon | 0.8 (0.4–1.4) | 1.9 (1.1–3.6) | 0.9 (0.5–1.6) | 1.1 (0.6–1.5) | 0.5 (0.3–1.1) | 0.5 (0.3–0.8) | ||||||
| Title | <0.01 | <0.01 | 0.58 | 0.02 | <0.01 | 0.63 | ||||||
| High | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | ||||||
| Low | 10.1 (3.2–38.1) | 4.5 (1.1–20.7) | 1.4 (0.3–5.3) | 3.9 (1.2–12.5) | 0.2 (0.1–0.5) | 0.7 (0.2–2.1) | ||||||
Framework of ethical principles.
| Moral principle/concept | Definition | Intrinsic concepts | Effects on diagnosis |
|---|---|---|---|
| 1. Proprioceptive effect | The experience of using wearable devices and TCM diagnostic instrument. |
Carrying convenience Comfortable feeling Convenient operation Interface humanity | Support Health data record Patient's willingness to wear Inhibit Health data privacy |
| 2. Sense of trust | The trustworthy in using wearable devices and TCM diagnostic instruments. |
Principle of the machine Accuracy of evaluation Durability of the instrument Reference to diagnosis | Support Auxiliary diagnosis Inhibit Palpation experience |
| 3. Suitable population | The applicable objects for wearable devices and TCM diagnostic instruments. |
Age group of the population Symptoms of the population | Support Personalized diagnosis Inhibit Emergency diagnosis |
| 4. Machine usage scenario | The use scenarios of wearable devices and TCM diagnostic instrument. |
Daily life Stages to be used | Support Daily health monitoring Cultivation of TCM graduate |
| 5. Combination of TCM and ICT | The degree of integration of TCM and ICT. |
Integration of TCM and wearable functions Interpretation of the diagnosis results | Support Daily collection of TCM data Patient notification of diagnosis |
ICT: information communication technology; TCM: traditional Chinese medicine.