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Record W4200167513 · doi:10.1111/cen.14661

Patient experience of telemedicine for osteoporosis care during the COVID‐19 pandemic

2021· letter· en· W4200167513 on OpenAlexaboutno aff
Alicia Jones, Peter R. Ebeling, Helena Teede, Frances Milat, Amanda Vincent

Bibliographic record

VenueClinical Endocrinology · 2021
Typeletter
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsnot available
FundersNational Health and Medical Research Council
KeywordsTelemedicineMedicineOsteoporosisPandemicFamily medicineHealth careTelephone interviewCoronavirus disease 2019 (COVID-19)Medical emergencyDiseaseInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

In response to the coronavirus disease 2019 (COVID-19) pandemic, expansion of telemedicine (telephone and video) billing numbers in March 2020 led to the rapid, widespread implementation of telemedicine across Australia, with minimal consumer involvement in service development. Osteoporosis predominantly affects older people, who are also at risk of more severe COVID-19. In response to reports that osteoporosis treatments were delayed during the COVID-19 pandemic, a number of professional societies released statements discouraging delaying certain therapies and underlying the importance of continuing best practice osteoporosis care.1, 2 In March 2020, osteoporosis clinics at our tertiary health service in Melbourne, Australia, moved to a telemedicine model of care. This study evaluated the patient experience of telemedicine for osteoporosis care and the impact on osteoporosis management. We invited patients attending osteoporosis clinics between 1 April 2020 and 28 February 2021, to complete an anonymous online survey, adapted from previous studies, regarding satisfaction and concerns using telemedicine, and changes to their management during the COVID-19 pandemic.3, 4 The clinics manage post-menopausal and secondary osteoporosis and include a paediatric transition service. We excluded patients aged <18 years, unable to consent, no mobile phone, and non-English speaking patients. The hospital's Human Research Ethics Committee approved the study (RES-20-0000-546L). Of 904 patients attending the clinics, 700 patients were eligible and sent text message invitations to the survey, and 129 completed surveys. The mean (SD) age was 61.6 (1.57) years and 77.3% were female. Most consultations were via telephone (89%). Only 15.5% of patients had previously used telemedicine. Although 83% used a smartphone, tablet or computer daily, only 56% rated themselves as confident with computers/technology. Most patients were satisfied with telemedicine, 70% thought it adequately addressed their needs, 72% thought it was convenient, and 83% thought the system was easy to use. However, 30% were concerned about inadequate treatment using telemedicine, and 19% thought the quality of care differed from in-person consultations. This differs from a study of telemedicine for osteoporosis in Canada before the COVID-19 pandemic, where only 5% thought the quality of care differed.4 Reasons given for the lack of satisfaction included communication barriers (missing body language cues, hearing difficulties), difficulty accessing paperwork such as referrals or prescriptions, and uncertainty about how to contact the clinician/clinic if they had further questions. Figure 1 shows patients' preferences for telemedicine or in-person consultations. If offered again, 68% of patients would use telemedicine for osteoporosis, while 22% would not. Using multiple logistic regression analysis, neither age, sex, nor confidence with technology was associated with either the overall preference for telemedicine or in-person consultations, or the likelihood of using telemedicine again. Unlike an international survey of clinicians, where 62% delayed osteoporosis imaging and 43% had difficulty arranging osteoporosis treatment during the COVID-19 pandemic, a minority of our patients had changes to their management.5 Only 11% of patients delayed blood tests or treatment, and 9% delayed imaging, likely reflecting the lower burden of COVID-19 in Australia. Limitations of our study include that it is single-centre and the low response rate. The findings may not be applicable to other cohorts, where the value of remote, out-of-hospital care in the form of telemedicine may differ. This includes countries with a greater COVID-19 burden, rural health services, and areas with poor telephone/internet access. Finally, due to the clinics sampled, our cohort was relatively young, which may influence the experience of telemedicine. Among patients treated at an Australian tertiary health service for osteoporosis, most had a positive experience with telemedicine. Although telemedicine was preferred to in-person consultation for travel and waiting time, only 27% prefer the overall experience of telemedicine. There was no association between age, sex, or confidence with technology, and preferences for telemedicine. Lack of personal interaction and system factors contributed to dissatisfaction with telemedicine; future studies should explore other contributing factors. Coproduction with consumers is needed to optimise telemedicine services for osteoporosis. Alicia R. Jones is the recipient of a National Health and Medical Research Council postgraduate research scholarship (Grant no. 1169192). The authors declare that there are no conflict of interests. Data are available from the corresponding author on reasonable request. Data are available from the corresponding author on reasonable request.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.306
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.134
GPT teacher head0.448
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2021
Admission routes1
Has abstractyes

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