Patient and Provider Experiences With a Digital App to Improve Compliance With Enhanced Recovery After Surgery (ERAS) Protocols: Mixed Methods Evaluation of a Canadian Experience.

BACKGROUND: Of all the care provided in health care systems, major surgical interventions are the costliest and can carry significant risks. Enhanced Recovery After Surgery (ERAS) is a bundle of interventions that help improve patient outcomes and experience along their surgical journey. However, given that patients can be overwhelmed by the multiple tasks that they are expected to follow, a digital application, the ERAS app, was developed to help improve the implementation of ERAS. OBJECTIVE: The objective of this work was to conduct a thorough assessment of patient and provider experiences using the ERAS app. METHODS: Patients undergoing colorectal or gynecological oncology surgery at 2 different hospitals in the province of Alberta, Canada, were invited to use the ERAS app and report on their experiences using it. Likewise, care providers were recruited to participate in this study to provide feedback on the performance of this app. Data were collected by an online survey and using qualitative interviews with participants. NVivo was used to analyze qualitative interview data, while quantitative data were analyzed using Excel and SPSS. RESULTS: Overall, patients found the app to be helpful in preparation for and recovery after surgery. Patients reported having access to reliable unbiased information regarding their surgery, and the app provided them with clarity of actions needed along their surgical journey and enhanced the self-management of their care. Clinicians found that the ERAS app was easy to navigate, was simple for older adults, and has the potential to decrease unnecessary visits and phone calls to care providers. Overall, this proof-of-concept study on the use of a digital health app to accompany patients during their health care journey has shown positive results. CONCLUSIONS: This is an important finding considering the massive investment and interest in promoting digital health in health care systems around the world.

Excess deaths during the COVID-19 pandemic in Alberta, Canada.

Objectives: To determine if there was excess mortality in Alberta, Canada during the coronavirus disease 2019 (COVID-19) pandemic, to confirm if excess mortality affected all age groups equally, and to determine what proportions of excess deaths were directly related to COVID-19 and non-pharmaceutical drug poisoning. Methods: Weekly all-cause data used to estimate excess mortality were modelled against the pre-pandemic period (January 2015-February 2020). Age-adjusted weekly mortality rates for March 2020 to December 2021 were compared with the preceding 5 years. Results: From March 2020 to December 2021, there was an 11% excess mortality rate, corresponding to an average of 265 monthly excess deaths (maximum >30%). COVID-19-related deaths (n=3202) accounted for 54.9% of total excess deaths (n=5833) that occurred in the 22-month period. The increase in all-cause excess deaths was proportionately higher, and with significantly greater numbers, in younger age groups. Significant increases in monthly drug poisoning deaths occurred from March 2020 to April 2021, with a total of 1819 deaths. Eight hundred and 25 excess drug poisoning deaths, representing 25.4% of total all-cause excess deaths, occurred, mainly among those aged 25-60 years. Overall, 54.9% of all excess deaths were directly related to COVID-19 and 25.4% were related to drug poisoning. Conclusions: There was a significant increase in all-cause mortality during the COVID-19 pandemic. Although older adults are more likely to die of COVID-19, a massive increase in non-COVID-19-related mortality was observed among younger people. These factors should be considered in public policy decisions on epidemic/pandemic management.

Depression--a common disorder across a broad spectrum of neurological conditions: a cross-sectional nationally representative survey.

OBJECTIVE: To estimate the prevalence of depression across a range of neurological conditions in a nationally representative sample. METHODS: The data source was the Survey of Living with Neurological Conditions in Canada (SLNCC), which accrued its sample by selecting participants from the Canadian Community Health Survey. The point prevalence of depression was estimated by assessment of depressive symptoms with the Patient Health Questionnaire, Brief (Patient Health Questionnaire, 9-item). RESULTS: A total of n=4408 participated in the SLNCC. The highest point prevalence of depression (>30%) was seen in those with traumatic brain injury and brain/spinal cord tumors. Depression was also highly prevalent (18-28%) in those with (listed from highest to lowest) Alzheimer's disease/dementia, dystonia, multiple sclerosis, Parkinson's disease, stroke, migraine, epilepsy and spina bifida. The odds ratios for depression, with the referent group being the general population, were significant (from highest to lowest) for migraine, traumatic brain injury, stroke, dystonia and epilepsy. CONCLUSIONS: All neurological conditions included in this study are associated with an elevated prevalence of depression in community populations. The conditions with the highest prevalence are traumatic brain injury and brain/spinal cord tumors.

Prevalence and risk factors for suicidal ideation in a multiple sclerosis population.

OBJECTIVE: To estimate the prevalence, incidence and determinants of suicidal ideation in the multiple sclerosis (MS) population. METHODS: A sample of 188 subjects were randomly selected from a community-based MS clinic registry and participated in as many as 13 interviews over 6 months. Thoughts of "being better off dead" or of "harming oneself" were assessed using item 9 on the Patient Health Questionnaire, Brief (PHQ-9). RESULTS: At baseline, the 2-week period prevalence of suicidal ideation was 8.3%. Over the course of 6 months, 22.1% of respondents reported having such thoughts at least once. Survival analysis incorporating baseline PHQ-8 scores as a covariate confirmed that being age 65 and over (HR=4.3, 95% CI 1.7-11.3) and having lower quartile self-efficacy ratings (HR=3.5, 95% CI 1.5-8.2) predicted suicidal ideation. Lower levels of task-oriented coping (treated as a continuous variable) also predicted suicidal ideation after adjustment for depressive symptoms (p=0.015), as did self-reported bladder or bowel symptoms (HR=2.6, 95% CI 1.1-6.0) and difficulties with speaking and swallowing (HR=2.9, 95% CI 1.3-6.8). Associations with MS symptoms were not confounded by depressive symptoms. CONCLUSION: This study identified several potentially modifiable factors that may be useful for preventing suicide in people with MS.

Point prevalence and correlates of depression in a national community sample with multiple sclerosis.

OBJECTIVE: The prevalence of depression in multiple sclerosis (MS) is known to be elevated, but nearly all available studies have estimated period prevalence. The objective of this study was to estimate the point prevalence of depression in a representative community sample using the Patient Health Questionnaire, Brief (PHQ-9). METHODS: The data source for this study was the Survey of Living with Neurological Conditions in Canada, which was derived from a representative sample of household residents. RESULTS: The sample included 630 respondents with MS. With application of the standard PHQ-9 cut point (10+), the prevalence of depression was 26.0% (95% confidence interval 18.9%-33.0%). Depressed subjects had lower quality of life; an increased frequency of suicidal ideation; and more often reported a negative disease course, high stress, low social support and stigmatization. CONCLUSIONS: This study adds to the existing literature by providing point prevalence data: in any 2-week period, about one quarter of community residents with MS experience substantial levels of depressive symptoms.

Encoding and decoding of pain expressions: a judgement study.

The communication of pain requires a sufferer to encode and transmit the experience and an observer to decode and interpret it. Rosenthal's (1982) model of communication was applied to an analysis of the role of facial expression in the transmission of pain information. Videotapes of patients with shoulder pain undergoing a series of movements of the shoulder were shown to a group of 5 judges. Observers and patients provided ratings of the patients' pain on the same verbal descriptor scales. Analyses addressed relationships among patients' pain reports, observers' judgements of patients' pain and measures of patients' facial expressions based on the Facial Action Coding System. The results indicated that although observers can make coarse distinctions among patients' pain states, they (1) are not especially sensitive, and (2) are likely to systematically downgrade the intensity of patients' suffering. Moreover, observers appear to make insufficient use of information that is available in patients' facial expression. Implications of the findings for pain patients and for training of health-care workers are discussed as are directions for future research.