A third survey of the practice of licensed psychologists during the pandemic conducted in June 2021 revealed that the rapid adoption of telepsychological service provision has continued approximately 15 months after a national public health emergency was declared. Most respondents intend to make telepsychology a permanent component of their practice going forward. Other notable findings from our survey revealed that after an initial decline in caseload reported in the early days of the pandemic, the majority of psychologists surveyed now report an increase in caseload, often necessitating the establishment of a waitlist. Respondents reported that their patients/clients are more accepting of telepsychology than in our previous survey. That said, a significant minority of psychologists expressed concerns that this technology will negatively affect their future practice. Results also indicated that psychologists are encountering greater symptom acuity among their patients associated with the pandemic, including an increase in reports of suicidal thinking or behavior.
Supplementary Information
The online version contains supplementary material available at 10.1007/s42843-021-00044-3.
We conducted a survey of licensed psychologists at two weeks and again at six months after the declaration of a national emergency related to the COVID-19 pandemic. This article describes the results of the second survey conducted approximately six months after the crisis began. The rapid shift to telepsychological services seen in the first survey in the pandemic has solidified in the second survey. More providers reported delivering a larger percentage of services via telepsychology than early in the pandemic. The majority of respondents do not anticipate resuming in-person services until after a vaccine is made available, although a consistent minority reports ongoing in-person service provision. A majority reported their patients had appropriate access to internet and telepsychological service platforms, although one-fifth of respondents reported their patients had difficulty accessing such services. Early concerns about technological or regulatory problems involved in telepsychology are no longer evident. Most respondents indicated they will continue to use telepsychological services for the delivery of some of their psychological services after the pandemic ends. Forty-five percent knew of individuals who contracted the disease, 13% knew someone who died of the disease, and 2% reported contracted the disease themselves.
Technologies used for record keeping have rapidly changed over the last 2 decades, with many providers shifting from pen and paper notes to electronic medical records (EMRs) and other cloud-based, digital solutions. This transition to electronic means of client data storage has resulted in greater efficiencies, improved integrated care, and loss prevention. However, moving to digital means of record keeping involves novel legal and ethical consequences, which have been reviewed by various authors (e.g., Devereaux and Gottlieb (2012) and the APA’s, 2007 Record Keeping Guidelines). Importantly, unexamined to date are concerns associated with data after death—specifically, when a mental health provider who uses technology for record keeping unexpectedly departs via incapacitation, death, or other unknown circumstances. These circumstances may prevent continuity of care and access to data among survivors. This article reviews the current use of digital record keeping, federal and state policies, legal and ethical standards, and provides forward-looking recommendations for professionals.
Psychosocial academic behavioral skills and college enrollment: a Psychosocial academic behavioral skills and college enrollment: a quantitative analysis using logistic and hierarchical generalized quantitative analysis using logistic and hierarchical generalized linear models linear models Elchert, Daniel Matthew. "Psychosocial academic behavioral skills and college enrollment: a quantitative analysis using logistic and hierarchical generalized linear models." PhD (Doctor of Philosophy) thesis, University of Iowa, 2018.
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