| Literature DB >> 35098430 |
Ruth Kieran1, Catherine Murphy2, Eileen Maher2, Jemma Buchalter2, Sue Sukor2, Scheryll Alken2.
Abstract
BACKGROUND: Virtual clinics were introduced to our practice in March 2020. We aimed to assess outcomes from virtual clinics and to assess staff views on them and their barriers to implementation nationally.Entities:
Keywords: COVID-19; Oncology; Telemedicine; Virtual clinic
Year: 2022 PMID: 35098430 PMCID: PMC8801271 DOI: 10.1007/s11845-021-02892-w
Source DB: PubMed Journal: Ir J Med Sci ISSN: 0021-1265 Impact factor: 1.568
Patient demographics
| Scheduled ( | Attended ( | ||
|---|---|---|---|
| Age | (Years, median, range) | 61 (22–84) | 62 (22–84) |
| Cancer | Gynaecological | 22 (40%) | 18 (36%) |
| Breast | 8 (15%) | 6 (13%) | |
| Testicular | 7 (13%) | 7 (15%) | |
| Prostate | 6 (11%) | 6 (13%) | |
| Renal | 2 (4%) | 2 (4%) | |
| Lymphoma | 2 (4%) | 2 (4%) | |
| Lung | 3 (8%) | 3 (8%) | |
| Gastrointestinal | 2 (4%) | 2 (4%) | |
| Sarcoma | 1 (2%) | 1 (2%) | |
| Gender | Male | 18 (34%) | 17 (36%) |
| Female | 35 (66%) | 30 (64%) | |
| Time since diagnosis | (Months, median, range) | 27 (2–170) | 23 (2–170) |
| Disease status | No evidence of disease | 34 (64%) | 29 (62%) |
| Hormonal therapy | 16 (30%) | 14 (28%) | |
| Subsequent recurrence/progression | 14 (26%) | 13 (28%) | |
| Intended visit purpose | Essential clinic exam | 19 (36%) | 17 (36%) |
| Results of tumour markers | 25 (47%) | 22 (47%) | |
| Results of radiology imaging | 13 (25%) | 12 (26%) | |
| Clinic duration | (minutes, median, range) | 18 (4–141)* | 18 (4–141)* |
*Times not recorded for 5 patients, times recorded of > 2 h with no explanation for long duration (n = 3) excluded from analysis. No significant differences between “scheduled” and “attended” for any field
Surveyed doctor demographics
| Medical experience† | < 5 years | 6 (19%) |
|---|---|---|
| 5–7 years | 13 (42%) | |
| 8–10 years | 10 (32%) | |
| 10 + years | 2 (6%) | |
| Virtual clinic experience (% of outpatient encounters in 2020) | < 5% | 1 (3%) |
| 5–20% | 1 (3%) | |
| 20–50% | 12 (38%) | |
| > 50% | 18 (56%) | |
| Patient type† | Pre-screened, mostly simple | 24 (77%) |
| Not pre-screened, included complex cases | 7 (23%) | |
| Currently working† | Designated cancer centre | 21 (68%) |
| Other oncology unit | 7 (23%) | |
| Outside Ireland* | 3 (10%) | |
| Visit times† (in comparison to a similar in-person clinic) | More than 10 min longer | 0 |
| 5–10 min longer | 1 (3%) | |
| 1–5 min longer | 2 (7%) | |
| Similar | 1 (3%) | |
| 1–5 min shorter | 14 (45%) | |
| 5–10 min shorter | 8 (26%) | |
| More than 10 min shorter | 5 (16%) | |
| “I brought patients for follow-up back sooner” † | Agree/strongly agree | 13 (42%) |
| Neither agree nor disagree | 2 (6%) | |
| Disagree/strongly disagree | 16 (52%) | |
| “I could communicate well during the virtual visit” † | Agree/strongly agree | 21 (67%) |
| Neither agree nor disagree | 5 (16%) | |
| Disagree/strongly disagree | 5 (16%) | |
| “Virtual clinics were better in quality overall as an outpatient visit” † | Agree/strongly agree | 7 (23%) |
| Neither agree nor disagree | 3 (10%) | |
| Disagree/strongly disagree | 21 (67%) | |
*These doctors had been employed in Ireland until the July 2020 changeover, so their views were included
†Missing responses = 1
Barriers to successful virtual clinics
| Assessment | Any assessment issue | 26 (81%) |
| Performance status more difficult to assess | 23 (74%) | |
| Lack of exam to assess treatment response | 21 (68%) | |
| Lack of exam to assess drug toxicity | 17 (55%) | |
| Lack of a collateral history from family | 8 (26%) | |
| Communication | Any communication issue | 20 (63%) |
| Difficulty contacting patients | 9 (28%) | |
| Patient hearing | 7 (23%) | |
| Need to repeat information to relatives | 11 (35%) | |
| Need for translator | 13 (42%) | |
| Investigations | Difficulty accessing bloods/x-rays | 12 (40%) |
| Resources | Any resource issue | 15 (48%) |
| No suitable physical space | 7 (23%) | |
| Inadequate time scheduled | 6 (19%) | |
| More frequent interruptions | 7 (23%) | |
| Access to care | • Patients should receive support to facilitate communication. If spending on translator services after the introduction of virtual clinics is lower, it may suggest that some patients are being disadvantaged Monitor how far in advance of clinics patients are notified and if they receive a “text reminder” • Proactive visit planning and monitoring if virtual clinic lists are being screened for appropriateness. This could consider: o When the patient was last seen in-person o If they have previously indicated they do not want their care to be virtual o If they have communication or technological barriers o If the patient is likely to need care that can only be provided in-person o If investigations have been requested, that the results are available • Monitor waiting times for those who need in-person follow-up after virtual clinics • Monitor referrals to the emergency department from virtual clinics |
| Financial impact/service efficiency | • Monitor “did not attend” rate: the HSE target for this is < 10%, but a lower target may be appropriate in the virtual setting, because of the extra burden on clinical staff in attempting to contact patients • High “did not attend” rates in those who consistently attend face-to-face appointments may suggest technological barriers play a role • Monitor virtual clinic start and end times, and impact on staff overtime pay |
| Experience | • Patient feedback, input from advocacy groups, patient-reported outcome measures • Monitor patient complaint rates, closely investigate those involving virtual clinics • Staff feedback: some centres have optimized workflow by assigning virtual reviews to registrars/nurse practitioners, while consultants see more complicated in-person patients. Feedback should be sought from those with recent high-volume experience • Assess if virtual clinics are being conducted in appropriate settings, with dedicated time and space |
| Effectiveness | • Audit against guidelines—where surveillance recommendations include tumour markers/physical examinations, are these being followed, or are radiological investigations requested more frequently than expected • Indicators suggesting sub-optimal assessments, e.g. dayward cancellations because of falling performance scores/toxicity that had not been detected in a recent virtual clinic • Indicators suggesting sub-optimal communication, e.g. chemotherapy deferrals because patients had not taken premedications, patients/families contacting secretaries post-clinic to gain clarification on information given • Long-term quality metrics, e.g. number of patients “lost to follow-up”, number of patients referred to smoking cessation/screening for clinical trials |