| Literature DB >> 33751731 |
Yan Han1, Yang Lu2,3, Dengyu Wang1, Mingshan Ran4, Qidong Ren1, Duo Xie3, Tipu Z Aziz5, Luming Li3,6,7,8, James Jin Wang2.
Abstract
OBJECTIVES: Due to the impact of COVID-19 epidemic, face-to-face follow-up treatments for patients with chronic pain and implanted spinal cord stimulation (SCS) devices are forced to be delayed or stopped. This has led to more follow ups being done remotely. Meanwhile, with the development of 4G/5G networks, smartphones, and novel devices, remote programming has become possible. Here, we investigated the demand and utility of remote follow-ups including remote programming for SCS for patients with chronic pain.Entities:
Keywords: COVID-19; Chronic pain; remote programming; spinal cord stimulation; telemedicine
Mesh:
Year: 2021 PMID: 33751731 PMCID: PMC8250774 DOI: 10.1111/ner.13382
Source DB: PubMed Journal: Neuromodulation ISSN: 1094-7159
Figure 1Introduction of the remote system. The remote system consists of three parts: the physician client, the server, and the patient client. A well-trained physician’s computer is connected to the server station, which is meanwhile connected to the patients smartphone. The IPG in the patient is externally activated and connected to the smartphone via Bluetooth. The physician interface is shown on the upper right side, and the patient interface on the PINS App is shown on the bottom right side. [Color figure can be viewed at wileyonlinelibrary.com]
Characteristics of Study Participants (n = 64).
| Age (years), mean ± SEM | 58.6 ± 1.6 |
|---|---|
| Sex, | |
| Male | 36 (56.2) |
| Female | 28 (43.8) |
| Education status, | |
| Less than high school | 41 (64.1) |
| Completed high school | 12 (18.7) |
| More than high school | 11 (17.2) |
| Marital status, | |
| Married | 53 (82.8) |
| Single/widowed/divorced | 11 (17.2) |
| Employment status, n (%) | |
| Unemployed | 54 (84.4) |
| Part-time | 1 (1.6) |
| Full-time | 9 (14.1) |
| Annual household income, | |
| Less than ¥10,000 | 20 (31.3) |
| ¥10,000–¥50,000 | 29 (45.3) |
| ¥50,000–¥100,000 | 10 (15.6) |
| ¥100,000–¥200,000 | 2 (3.1) |
| More than ¥200,000 | 3 (4.7) |
| Health insurance, | |
| Available | 59 (92.2) |
| Unavailable | 5 (7.8) |
| Causes for chronic pain, | |
| Pain associated with spinal cord damage | 19 (29.7) |
| Failed back surgery syndrome (FBSS) | 16 (25.0) |
| Neuropathic pain secondary to peripheral nerve damage | 5 (7.8) |
| Brachial plexopathy | 5 (7.8) |
| Failed neck surgery syndrome (FNSS) | 4 (6.3) |
| Phantom limb pain | 4 (6.3) |
| Post-herpetic neuralgia (PHN) | 3 (4.7) |
| Amputation pain | 2 (3.1) |
| Post-syphilitic neuralgia | 2 (3.1) |
| Complex regional pain syndrome (CRPS) | 1 (1.6) |
| Painful diabetic neuropathy (PDN) | 1 (1.6) |
| Post-traumatic pain | 1 (1.6) |
| Perineal pain | 1 (1.6) |
| Pain history (years), mean ± SEM | 9.8 ± 1.2 |
| Post implantation improvement score (0–10), mean ± SEM | 5.1 ± 0.3 |
| Baseline VAS score (0–10), mean ± SEM | 8.2 ± 0.1 |
| Post implantation VAS score (0–10), mean ± SEM | 2.2 ± 0.1 |
| Pain relief, mean ± SEM | 72.8% ± 1.7% |
Demand for Remote Follow-ups (n = 64).
| Residence, | |
|---|---|
| Urban | 38 (59.4) |
| Rural | 26 (40.6) |
| Daily life independency score (0–10), mean ± SEM | 5.2 ± 0.4 |
| Standard follow-ups | |
| Total times so far, mean ± SEM | 1.8 ± 0.2 |
| Frequency (months), mean ± SEM | 2.2 ± 0.1 |
| Distance to hospital (km), mean ± SEM | 786.5 ± 178.1 |
| Traffic time (hours), mean ± SEM | 8.2 ± 1.2 |
| Estimated costs (¥), mean ± SEM | 1670.0 ± 155.5 |
| Estimated costs/year (¥), mean ± SEM | 6679.9 ± 621.9 |
| Cost/annual income ratio, mean ± SEM | 35.0% ± 5.0% |
| Number of accompanying individuals, | |
| 0 | 10 (15.6) |
| 1 | 46 (71.9) |
| ≥2 | 8 (12.5) |
| Total time consumed, | |
| Within 1 day | 15 (23.4) |
| 2 days | 14 (21.9) |
| 3 days | 8 (12.5) |
| 4 days | 5 (7.8) |
| ≥4 days | 22 (34.4) |
| Demands for remote programming (0–10), mean ± SEM | 7.0 ± 0.4 |
Estimated costs were nonmedical costs including costs of travel and accommodation for follow-ups, which were calculated according to the location of hospitals and participants’ address, self-reported number of accompanying individuals, and self-reported total time consumed (medical costs in hospitals not included). Estimate costs/year were calculated assuming four follow-up visits per year according to the average follow-up frequency.
Practicability and Acceptability of Remote Follow-Ups.
| Use of mobile phones and computers in daily life, | ||
|---|---|---|
| None | 1 (1.6) | |
| Either | 37 (57.8) | |
| Both | 26 (40.6) | |
| Assistance availability for remote follow-ups, | ||
| Available | 53 (82.8) | |
| Unavailable | 11 (17.2) | |
| Experiences of remote communication with physicians | ||
| Frequency, | ||
| Never | 2 (3.1) | |
| Sometimes | 40 (62.5) | |
| Often | 22 (34.4) | |
| Satisfaction, | ||
| Excellent | 21 (35.0) | |
| Fair | 37 (61.7) | |
| Poor | 2 (3.3) | |
| Experiences of remote programming via App | ||
| Frequency, | ||
| Never | 12 (18.7) | |
| Sometimes | 43 (67.2) | |
| Often | 9 (14.1) | |
| Times, mean ± SEM | 2.5 ± 0.3 | |
| Satisfaction, | ||
| Excellent | 17 (32.7) | |
| Fair | 33 (63.5) | |
| Poor | 2 (3.8) | |
| Total time consumed (hours), mean ± SEM | 0.8 ± 0.1 | |
| Experiences of network/equipment failure, | ||
| Never | 38 (61.3) | |
| Sometimes | 21 (33.9) | |
| Often | 3 (4.8) | |
| Demands for being accompanied, | ||
| Necessary | 39 (60.9) | |
| Unnecessary | 25 (39.1) | |
| Preferred ways of remote follow-ups, | ||
| Emails and local hospital accordingly | 11 (17.2) | |
| Calls and local hospital accordingly | 30 (46.9) | |
| Video calls and local hospital accordingly | 14 (21.9) | |
| Video calls and remote programming directly | 28 (43.8) | |
| Preferred location for remote follow-ups, | ||
| Home | 51 (79.7) | |
| Community hospitals | 12 (18.8) | |
| Hospitals in capital cities (%) | 8 (12.5) | |