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Pain in commonly found in working population. The working population who aged from 15 to 64 is the largest portion of population in Hong Kong. Also, the prevalence of chronic pain in this population group is high. The issue requires special attention. Researches demonstrated pain affects a person in a multidimensional way. Pain induces negative effects to both the physical and psychological aspects. The levels of depression, anxiety, stress are increased and quality of life is decreased in people with chronic pain. They are interrelated to pain. As pain induced discomforts, people adopted self-initiated treatments as treatment. Pharmacological and non-pharmacological pain management interventions are commonly used. Although people used different ways to relieve the pain, they tend to bear the pain to work or take sick leave. This contributes to the work loss to the whole society.
Pain service in Hong Kong is scarce in the public and private sectors. It takes months for a pain sufferer to be arranged for a pain clinic follow-up. It is possible for the pain get worsen while waiting for the pain service. The pain can be difficult to treat afterwards. As self-initiated treatments are welcomed by the pain sufferers, pain education can be focused on empowering the pain sufferers on their pain knowledge and self-management techniques. The pain self-efficacy can be enhanced. The pain sufferers can be benefited from lowering the pain intensity and negative emotions. It can be a solution to develop an online pain management programme to ease the service demand.
Limited studies are found for online pain management programmes to improve the pain self-efficacy and self-management techniques. In order to fill the knowledge gap and service gap, the present study aims to evaluate an online pain management programme (ePain) in improving the self-efficacy, reduction of pain intensity, decreased levels of depression, anxiety and stress, and improving quality of life in pain management in adults with chronic pain. Participants are randomised to the intervention group or the control group.
Participants will register in ePain for an individual account. Then they will finish the the pre-test questionnaire. They will be randomized to either the intervention group or control group. ePain will be accessed by the participants in the intervention group. The control group will remain their regular activities. The participants in both groups will need to complete the pre-test (Week 1), process evaluation (Week 3), post-assessment (Week 6) and follow-up assessment (Week 12). Same questionnaire will be used in the assessments. Demographic data will be collected in Week 1. At Week 1, 3, 6 and 12, pain situation and pain self-efficacy will be collected. Data of negative emotions and quality of life will be collected at Week 1, 6 and 12. The control group will undergo the same assessment as the intervention group.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention group | Experimental | ePain will be accessible by the intervention group. |
|
| Control group | No Intervention | No intervention will be applied to control group and they can download an educational pamphlet only. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ePain | Other | Electronic pain management programme (ePain) |
|
| Measure | Description | Time Frame |
|---|---|---|
| Pain self-efficacy | Changes from baseline to Week 3, Week 6 and Week 12 in pain self-efficacy using the Pain Self-Efficacy Questionnaire | Baseline, Week 3, Week 6 and Week 12 |
| Measure | Description | Time Frame |
|---|---|---|
| Pain situations | Changes from baseline to Week 3, Week 6 and Week 12 in pain situations using the Chinese version of Brief Pain Inventory (BPI-C) | Baseline, Week 3, Week 6 and Week 12 |
| Negative emotions |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Mimi Tse, PhD | The Hong Kong Polytechnic University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| School of Nursing | Hung Hom | Kowloon | Hong Kong |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32448387 | Derived | Tang SK, Tse MMY, Leung SF, Fotis T. The effectiveness of an electronic pain management programme for the working population with chronic pain: study protocol for a randomized controlled trial. Trials. 2020 May 24;21(1):421. doi: 10.1186/s13063-020-04348-5. |
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| ID | Term |
|---|---|
| D059350 | Chronic Pain |
| ID | Term |
|---|---|
| D010146 | Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
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Self-efficacy theory of behavioral change is adopted to guide the conceptual framework and development of the intervention. It was first introduced by Bandura in 1977. In the theory, self-efficacy would increase when a person participates actively in the activities to gain experience. There are two expectations in the model. The efficacy expectations of the person would contribute to the person's behaviour. The person performs the behaviour and would expect the outcomes and this is outcome expectations. The theory has been discussed for how to apply in health promotion. As the theory integrates self-efficacy and self-regulatory elements, people are benefited from the improved health outcomes which is resulted from the health behaviours.
Changes from baseline to Week 6 and Week 12 in depression, anxiety and stress levels using the Depression Anxiety Stress Scale (DASS-21)
| Baseline, Week 6 and Week 12 |
| Changes in level of quality of life | Changes from baseline to Week 6 and Week 12 in quality of life using the World Health Organization Quality of Life Instruments (WHOQOL-BREF) | Baseline, Week 6 and Week 12 |
| Feedback | Open ended questions developed by the research team to collect comments of using ePain, including the user experience, webpage design, usefulness of ePain and items for improvement | Week 6 |