Staff Hours Research Articles

Remotely triggered door and real‐time monitoring for bear cage traps

AbstractWe modified the bear cage trap with a low‐cost remotely triggered trap door and fitted the trap with a motion activated camera that relayed bear captures to researchers in real time. We built 4 modified bear cage traps and used them to capture free‐ranging American black bears (Ursus americanus) during summer 2020 on MPG Ranch in western Montana, USA. Lacking data on bear confinement time in traps from previous studies, we compared the amount of time that bears were confined in our modified traps with estimated confinement time had the same bears in our study been captured in traditional traps that were physically checked once daily at 0900, once daily at 1200, or twice daily at 0900 and 1600. We captured bears 30 times during 195 trap nights. The camera system relayed photos of all captures in real time and the remotely triggered door release was 100% successful. When we evaluated all bear captures and recaptures (n = 30), mean bear confinement time in our modified traps (4.92 hrs) was significantly lower than estimated mean confinement time had the same bears been captured in traditional traps that were checked once daily at 0900 (14.95 hrs), once daily at 1200 (10.73 hrs), or twice daily at 0900 and 1600 (7.01 hrs). For bears that were recaptured during regular trap monitoring hours (0700–1800) and remotely released without immobilization (n = 12), mean confinement time in our modified traps was <1 hr. By remotely monitoring traps, we saved an estimated US $6,580 or $13,624 in gas and staff hours during 3 months of trapping, had we physically checked traps once or twice daily, respectively. Our modified traps minimized animal confinement time, eliminated unnecessary animal immobilizations, and helped us maximize time and resource efficiencies. Our findings are relevant to bear research and management, and the technology we used can be adapted for trapping other wildlife species.

Comparing the Efficiency of Online and Field-Based Outreach for the Recruitment of Black and Latino Sexual Minority Men into an HIV Prevention Implementation Trial.

Rates of HIV diagnoses among young Black and Latino sexual minority men (SMM) have continued to increase since 2011; meanwhile, overall rates in the USA have decreased. Despite their importance, academic and medical institutions have often struggled to engage and recruit racial and ethnic minority SMM in HIV prevention services and research. The current study compares the success of two strategies for recruiting racial and ethnic minority SMM. Recruitment occurred in the context of a larger implementation study testing the effectiveness of a substance use and HIV prevention intervention among SMM at high risk for HIV infection. SMM (n = 778) were reached through either (1) field-based outreach conducted by two local community-based organizations (CBOs) delivering the intervention or (2) online recruitment coordinated by the trial's academic research partner. Field-based recruitment reached a significantly larger proportion of Black (42.9% vs. 18.2% reached online) and Latino individuals (40.3% vs. 28.1% reached online). Although online recruitment reached a greater proportion of SMM who met trial eligibility criteria (58.4% vs. 35.3% for field-based outreach; χ2(1) = 38.471, p < .001), a greater proportion of eligible participants identified through field-based outreach actually enrolled into the study trial (30.9% vs. 18.8% for online recruitment; χ2(1) = 7.82, p < .01). As a result, field-based recruitment required fewer recruitment staff hours (2.62 per enrolled participant) than online recruitment (3.46 recruitment staff hours per enrolled participant). Findings illustrate the potential for field-based, CBO-executed recruitment to reach Black and Latino SMM and for CBOs to successfully enroll those identified as eligible. Future prevention and implementation research should routinely engage community partners in the development of study recruitment strategies in a manner that can inform outreach and marketing efforts for HIV prevention research and prevention. Clinicaltrials.gov = NCT03488914.

Who is Using What, Where? An Analysis of Stakeholder Usage of Services and Collections during the COVID-19 Pandemic

In this column, we will share the results of our analysis of stakeholders’ usage of the library’s services and collections during three phases: pre-pandemic, the start of the pandemic, and during the pandemic. The period covered (August 2019 through April 2021) includes three different operational models – from entirely closed (with all services available only remotely online) to reduced staffing and hours with safety restrictions in place, including no book check-outs (the stacks were closed), to the current model of reopened stacks with reduced staffing hours and social distancing restrictions. In addition, we will share insights from our decisions regarding the library’s budget, operations, and outreach. Finally, we will provide the limitations to this study including the benefits and challenges of collecting personal identifiable information (PII), non-PII, and OpenAthens data.

521 Supporting research through the development of self-service tools and operational transparency.

OBJECTIVES/GOALS: The Informatics Program in the Wake Forest CTSI is experiencing rapid growth. To accommodate an influx of both staff and clinical investigators this program Invests resources in self-service tools to increase researcher capabilities Automates resource intensive activities Creates transparency of operational processes for researchers. METHODS/STUDY POPULATION: Self-service tools (immediate/automated) The i2b2 tool queries clinical data for feasibility numbers and cohort identification; and provides demographic breakdowns of patient sets The Data Puller tool pulls identified patient data (with IRB approval) The SKAN NLP tool pulls aggregate numbers from over 3 million clinical notes Automation A custom-built tracking system automates parts of tracking requests for data and checking IRB protocols Operational transparency The Data Request Dashboard shows requesters information about their request and where it is in the process of being fulfilled The Data Quote tool was constructed leveraging the integrated CTSA informatics network and uses details of the request to estimate how long it will take to complete. RESULTS/ANTICIPATED RESULTS: i2b2 has had over 300 unique users each year; 80% are faculty or research staff, 20% are clinicians or students. From 2017-2021 there have been an average of 300 i2b2 queries and 45 Data Puller pulls each month. SKAN has had 58 unique users since its implementation in late 2020, averaging 5 new users per month. The automated data request tracking system took approximately 30 staff hours to create and saves an average of 4 hours of staff time per week. It also decreases human error by pulling/pushing information directly between systems. The Informatics program has received positive feedback from researchers who use the Data Request Dashboard. The Data Quote Tool is being used to give standardized quotes to researchers. DISCUSSION/SIGNIFICANCE: Investing resources in developing and implementing self-service tools and operational transparency ultimately reduces overall resource consumption, saving staff and investigator time and effort. This enables the Informatics program to maintain a high standard of service while experiencing rapid growth.

Creating a Process for the Implementation of Tiered Huddles in a Veterans Affairs Medical Center.

ABSTRACTIntroductionIn 2019, the Veteran’s Health Administration began its journey in pursuit of becoming an enterprise-wide High Reliability Organization (HRO). Improving the delivery of safe, high quality patient care is a central focus of HROs. Requisite to meeting this goal is the timely identification and resolution of problems. This is best achieved by empowering and engaging both clinical and non-clinical staff across the healthcare organization through the promotion of robust collaboration and communication between various disciplines. Improved care coordination and increased accountability are two important subsequent outcomes. One method for accomplishing this is through the implementation of tiered huddles.Materials and MethodsAn extensive review of the current literature from 2013 until June 2021 was conducted for evidence highlighting the experiences of other healthcare organizations during implementation of huddles. Following the review, a tiered huddle proposal was developed and presented to the executive leadership team of a healthcare system for approval. Pilot testing of the tiered huddle implementation plan began in October 2021 over a 12-week period with three services. On average, the pilot services had between three to four tiers from frontline staff to the executive level of leadership.ResultsOver the 12-week period, out of the possible 120 tiered huddles that could have been conducted, 68% (n = 81) were completed. Of the tiered huddles conducted, 99% (n = 80) started and ended on time. During the pilot test, seven issues were identified by frontline staff: coordination of pre-procedural coronavirus testing, equipment/computer issues, rooms out of service, staffing levels, and lack of responsiveness from other departments. Issues related to staffing, unresponsiveness from other departments, and equipment concerns required elevation to a higher-level tier with no issues remaining open. Delays in patient care, or prolongation of shift hours for staff because of tiered huddles, was low at 2.5% (n = 2). For the duration of the pilot test, a total of 75 minutes accounted for shifts being extended among five staff members.ConclusionsThe success of this initiative demonstrates the importance of thoughtfully creating a robust process when planning for the implementation of tiered huddles. The findings from this initiative will be of immense value with the implementation of tiered huddles across our healthcare system. We believe that this approach can be used by other healthcare institutions along their journey to improving patient safety and quality.

Flow impacts of hot/cold zone infection control procedures during the COVID-19 pandemic in the emergency department.

BackgroundThe COVID-19 pandemic forced emergency departments (EDs) to change operations to minimize nosocomial infection risk. Many EDs cohort patients using provincial screening tools at triage. Despite cohorting, staff exposures occurred in the ‘cold zone’ due to lack of personal protective equipment (PPE) use with patients deemed low risk, resulting in staff quarantines. The cohorting strategy was perceived to lengthen time to physician initial assessment and ED length of stay times in our ED without protecting staff well enough due to varying PPE use. The objective of this study was to assess the impact of hot/cold zones for patient cohorting during a viral pandemic on ED length of stay.MethodsWe conducted an interrupted time series analysis 3 weeks before and after the removal of hot/cold zone care space cohorting in our ED. In the before period, staff did not routinely wear full PPE to see cold zone patients. After removal, staff wore full PPE to see almost all patients. We collected data on ED length of stay, physician initial assessment times, arrival-to-room times, patient volumes, Canadian Triage Acuity Score (CTAS), admissions, staff hours of coverage, as well as proportions of patients on droplet/contact precautions and COVD-19 positive patients. The primary outcome was median ED length of stay.ResultsAfter the removal of the hot/cold divisions, there was a decrease in the adjusted median ED length of stay by 24 min (95% CI 14; 33). PPE use increased in the after arm of the study. The interrupted time series analysis suggested a decrease in median ED length of stay after removal, although the change in slope and difference did not reach statistical significance.ConclusionCohorted waiting areas may provide a safety benefit without operational compromise, but cohorting staff and care spaces is likely to compromise efficiency and create delays.Supplementary InformationThe online version contains supplementary material available at 10.1007/s43678-022-00278-0.

Eating Disorder Day Programs: Is There a Best Format?

The use of a Day Program (DP) format (i.e., intensive daily treatment with no overnight admission) has been shown to be an effective treatment for eating disorders (EDs). The disadvantages, however, include higher cost than outpatient treatment (including costs of meals and staff), greater disruption to patients’ lives, and the use of a highly structured and strict schedule that may interrupt the development of patients’ autonomy in taking responsibility for their recovery. This study investigated whether reducing costs of a DP and the disruption to patients’ lives, and increasing opportunity to develop autonomy, impacted clinical outcomes. Three sequential DP formats were compared in the current study: Format 1 was the most expensive (provision of supported dinners three times/week and extended staff hours); Format 2 included only one dinner/week and provision of a take-home meal. Both formats gave greater support to patients who were not progressing well (i.e., extended admission and extensive support from staff when experiencing feelings of suicidality or self-harm). Format 3 did not provide this greater support but established pre-determined admission lengths and required the patient to step out of the program temporarily when feeling suicidal. Fifty-six patients were included in the analyses: 45% were underweight (body mass index (BMI) < 18.5), 96.4% were female, 63% were given a primary diagnosis of anorexia nervosa (or atypical anorexia nervosa), and mean age was 25.57 years. Clinical outcomes were assessed using self-reported measures of disordered eating, psychosocial impairment, and negative mood, but BMI was recorded by staff. Over admission, 4- and 8-week post-admission, and discharge there were no significant differences between any of the clinical outcomes across the three formats. We can tentatively conclude that decreasing costs and increasing the opportunities for autonomy did not negatively impact patient outcomes, but future research should seek to replicate these results in other and larger populations that allow conclusions to be drawn for different eating disorder diagnostic groups.

Nursing Home Alzheimer's Special Care Units: Geographic Location Matters.

Limited data suggest nursing home (NH) Alzheimer's special care units (ASCUs) may improve care and outcomes among residents with dementia. Unfortunately, information describing NH characteristics related to presence of ASCUs is lacking, especially whether location and neighborhood resources influence their presence. We examined locations of NHs with ASCUs and assessed whether neighborhood socioeconomic deprivation, region, and levels of rurality were associated with NH ASCUs. Cross-sectional. Contiguous United States; we used 2017 LTCfocus and NH Compare data to identify free-standing NHs and obtain addresses (N= 13,207 NHs). NH ZIP+4 codes were linked to the Area Deprivation Index (ADI) (within-state ranking of neighborhood deprivation). The 9 census-defined regions of the United States and Rural Urban Continuum codes categorized location. Descriptive analyses and binary logistic regression models, adjusting for NH characteristics, examined associations between NH ASCUs and location. Nearly 15% of NHs had ASCUs. In adjusted models, odds of NH ASCUs were 58% to 69% lower in Pacific, Middle Atlantic, and Southern regions compared with the East North Central region (P values <.001). Odds of NH ASCUs increased 25% to 47% as rurality increased relative to NHs in the most metropolitan areas (P < .01); however, odds of NH ASCUs decreased 63% in the most rural areas (P < .001). ADI was not significantly associated with NH ASCUs. For-profit NHs had 42% lower and chain-affiliated NHs 34% higher odds of ASCUs (P < .001). NHs with higher total staffing hours had 29% higher odds of ASCUs; odds of ASCUs were 46% lower in NHs with more RN staffing hours (P < .001). Using a robust sample, region, rurality, ownership, and nursing hours significantly predicted NH ASCUs whereas ADI did not. Geographically tailored interventions should be considered to promote use of NH-based ASCUs.

The Impact of Nursing Staffs' Working Conditions on the Quality of Care Received by Older Adults in Long-Term Residential Care Facilities: A Systematic Review of Interventional and Observational Studies.

Background: Little documentation exists on relationships between long-term residential care facilities (LTRCFs), staff working conditions and residents’ quality of care (QoC). Supporting evidence is weak because most studies examining this employ cross-sectional designs. Methods: Systematic searches of twelve bibliographic databases sought experimental and longitudinal studies, published up to May 2021, focusing on LTRCF nursing staff’s working conditions and the QoC they provided to older adults. Results: Of the 3577 articles identified, 159 were read entirely, and 11 were retained for inclusion. Higher nursing staff hours worked per resident per day (HPRD) were associated with significant reductions in pressure sores and urinary tract infections. Overall staff qualification levels and numbers of RNs had significant positive influences on QoC. Conclusions: To the best of our knowledge, this systematic review is the first to combine cohort studies with a quasi-experimental study to explore associations between LTRCF nursing staff’s working conditions and older adult residents’ QoC. Human factors (including HPRD, staff turnover, skill mix, staff ratios) and the specific working contribution of RNs had overwhelmingly significant influences on QoC. It seems essential that LTRCF supervisory and decision-making bodies should promote optimal working conditions for nursing staff because these have such a direct impact on residents’ QoC.

Assessing Physicians’ Recall Bias of Work Hours With a Mobile App: Interview and App-Recorded Data Comparison

BackgroundPrevious studies have shown inconsistencies in the accuracy of self-reported work hours. However, accurate documentation of work hours is fundamental for the formation of labor policies. Strict work-hour policies decrease medical errors, improve patient safety, and promote physicians’ well-being.ObjectiveThe aim of this study was to estimate physicians’ recall bias of work hours with a mobile app, and to examine the association between the recall bias and physicians’ work hours.MethodsWe quantified recall bias by calculating the differences between the app-recorded and self-reported work hours of the previous week and the penultimate week. We recruited 18 physicians to install the “Staff Hours” app, which automatically recorded GPS-defined work hours for 2 months, contributing 1068 person-days. We examined the association between work hours and two recall bias indicators: (1) the difference between self-reported and app-recorded work hours and (2) the percentage of days for which work hours were not precisely recalled during interviews.ResultsApp-recorded work hours highly correlated with self-reported counterparts (r=0.86-0.88, P<.001). Self-reported work hours were consistently significantly lower than app-recorded hours by –8.97 (SD 8.60) hours and –6.48 (SD 8.29) hours for the previous week and the penultimate week, respectively (both P<.001). The difference for the previous week was significantly correlated with work hours in the previous week (r=–0.410, P=.01), whereas the correlation of the difference with the hours in the penultimate week was not significant (r=–0.119, P=.48). The percentage of hours not recalled (38.6%) was significantly higher for the penultimate week (38.6%) than for the first week (16.0%), and the former was significantly correlated with work hours of the penultimate week (r=0.489, P=.002)ConclusionsOur study identified the existence of recall bias of work hours, the extent to which the recall was biased, and the influence of work hours on recall bias.

Community Engagement and Human-Centered Design: Lessons From HEARS in Inclusive Recruitment of Older Adults

Within hearing care, significant disparities persist despite the highly prevalent nature of age-related hearing loss and relatively few trials include representation of racial/ethnic minorities. HEARS is an affordable, accessible hearing care intervention delivered by older adult peer mentors. The HEARS randomized controlled trial (NCT03442296) is a community-engaged RCT with an embedded human-centered design practitioner. Recruitment efforts occurred over 18 months in partnership with 13 affordable housing and social centers. The cohort (n=151) includes 43% (n=65) who self-identify as African American and 63.6% (n=96) with <$25,000 annual household income. The cohort represents the largest to-date of African American and low-income older adults with hearing loss. Recruitment efforts entailed 470.5 staff hours and $4,917.26 in supplies, equating to 1.4 hours and $14.13 per 1 individual screened and 3.1 hours and $32.56 for 1 participant randomized. Community-engaged research, partnered with human-centered design, may offer critical approaches to increasing representation within behavioral intervention trials.

The Resource Costs of Maintaining Learner Utilization of a Simulation Center During the COVID-19 Pandemic.

Despite advances in online education during the COVID-19 pandemic, its impact on surgical simulation remains unclear. The aim of this study was to compare the costs and resources required to maintain simulation training in the pandemic and to evaluate how it affected exposure of medical students to simulation during their surgical clerkship. The number of learners, contact hours, staff hours, and costs were collected from a multi-departmental simulation center of a single academic institution in a retrospective fashion. Utilization and expenditure metrics were compared between the first quarter of academic years 2018-2020. Statistical analysis was performed to evaluate potential differences between overall resource utilization before and during the pandemic, and subgroup analysis was performed for the resources required for the training of the third-year medical students. The overall number of learners and contact hours decreased during the first quarter of the academic year 2020 in comparison with 2019 and 2018. However, the staff hours increased. In addition, the costs for PPE increased for the same periods of time. In the subgroup analysis of the third-year medical students, there was an increase in the number of learners, as well as in the staff hours and in the space required to perform the simulation training. Despite an increase in costs and resources spent on surgical simulation during the pandemic, the utilization by academic entities has remained unaffected. Further studies are required to identify potential solutions to lower simulation resources without a negative impact on the quality of surgical simulation.

Coronavirus Disease Contact Tracing Outcomes and Cost, Salt Lake County, Utah, USA, March-May 2020.

Outcomes and costs of coronavirus disease (COVID-19) contact tracing are limited. During March–May 2020, we constructed transmission chains from 184 index cases and 1,499 contacts in Salt Lake County, Utah, USA, to assess outcomes and estimate staff time and salaries. We estimated 1,102 staff hours and $29,234 spent investigating index cases and contacts. Among contacts, 374 (25%) had COVID-19; secondary case detection rate was ≈31% among first-generation contacts, ≈16% among second- and third-generation contacts, and ≈12% among fourth-, fifth-, and sixth-generation contacts. At initial interview, 51% (187/370) of contacts were COVID-19–positive; 35% (98/277) became positive during 14-day quarantine. Median time from symptom onset to investigation was 7 days for index cases and 4 days for first-generation contacts. Contact tracing reduced the number of cases between contact generations and time between symptom onset and investigation but required substantial resources. Our findings can help jurisdictions allocate resources for contact tracing.

Staffing, teamwork and scope of practice: Analysis of the association with patient safety in the context of rehabilitation.

AimsTo describe the organization of nursing services (staffing, scope of practice, teamwork) and its association with medication errors and falls, in rehabilitation units.BackgroundThe healthcare system is greatly impacted by the ageing population and the complexity of care associated with chronic diseases. It is therefore necessary to have enough staff who are using their full scope of practice and who are operating in a favourable working environment. However, these conditions are not always met, which can lead to threats to patient safety.DesignA correlational descriptive study.MethodsStaffing data and reported safety incidents were collected by shift from 01 October 2019 until 15 January 2020 in five rehabilitation units. In addition, a total of 75 nursing staff members responded to a missed care and teamwork survey. Descriptive analysis and logistic regression analysis were performed.ResultsThe mean staff hours per patient shift was 1.39 (SD = 0.60). The teams reported a global missed care score as ‘rarely missed’ at 1.14 (SD = 0.07) and a moderate teamwork score at 3.36 (SD = 0.58) on a five‐point scale. The safety incidents decreased 10‐fold with a predominance of bachelor compared with technician nurses and decreased by 67% when there was an increase of 1 h of care per patient shift.ConclusionsThis study showed that the organization of nursing services in the observed rehabilitation units is characterized by a moderate staffing intensity, a moderate perception of teamwork level and a relatively low level of missed care. It indicated the key role of the staffing in reducing the risk of occurrence of safety incidents. Future research specific to rehabilitation hospitals are greatly needed to improve patient outcomes in this setting.ImpactNurse Managers should consider all the aspects of the organization of nursing services (staffing, scope of practice and teamwork) in their efforts to improve patient safety in rehabilitation settings. A central finding of this study is that the staffing intensity, the proportion of bachelor prepared nurses and the proportion of agency staff were positively associated with a reduction of safety incidents.

Changing landscape of nursing homes serving residents with dementia and mental illnesses.

Nursing homes (NHs) are serving an increasing proportion of residents with cognitive issues (e.g., dementia) and mental health conditions. This study aims to: (1) implement unsupervised machine learning to cluster NHs based on residents' dementia and mental health conditions; (2) examine NH staffing related to the clusters; and (3) investigate the association of staffing and NH quality (measured by the number of deficiencies and deficiency scores) in each cluster. 2009-2017 Certification and Survey Provider Enhanced Reporting (CASPER) were merged with LTCFocUS.org data on NHs in the United States. Unsupervised machine learning algorithm (K-means) clustered NHs based on percent residents with dementia, depression, and serious mental illness (SMI, e.g., schizophrenia, anxiety). Panel fixed-effects regressions on deficiency outcomes with staffing-cluster interactions were conducted to examine the effects of staffing on deficiency outcomes in each cluster. We identified 110,463 NH-year observations from 14,671 unique NHs using CASPER data. Three clusters were identified: low dementia and mental illnesses (Postacute Cluster); high dementia and depression, but low SMI (Long-stay Cluster); and high dementia and mental illnesses (Cognitive-mental Cluster). From 2009 to 2017, the number of Postacute Cluster NHs increased from 3074 to 5719, while the number of Long-stay Cluster NHs decreased from 6745 to 3058. NHs in Long-stay/Cognitive-mental Clusters reported slightly lower nursing staff hours in 2017. Regressions suggested the effect of increasing staffing on reducing deficiencies is statistically similar across NH clusters. For example, 1 hour increase in registered nurse hours per resident day was associated with -0.67 (standard error [SE] = 0.11), -0.88 (SE=0.12), and -0.97 (SE=0.15) deficiencies in Postacute Cluster, Long-stay Cluster, and Cognitive-mental Cluster, respectively. Unsupervised machine learning detected a changing landscape of NH serving residents with dementia and mental illnesses, which requires assuring staffing levels and trainings are suited to residents' needs.

Virtual Interviewing for Pediatric Emergency Medicine Fellowship-A National Survey.

This study aimed to evaluate both applicant and interviewer satisfaction with the virtual interviewing process for pediatric emergency medicine (PEM) fellowship in hopes to improve the fellowship interviewing process. It was proposed that fellowship programs and applicants would prefer virtual interviews over traditional interviews. A survey developed in collaboration with UT Southwestern PEM fellowship leaders and national PEM leaders was sent to all PEM fellowship applicants and programs at the conclusion of the 2020 interview season and rank list submission. The applicant survey obtained information on ease of virtual interviews and whether applicants felt that they obtained adequate information from virtual interviews to make informed program selections. Program director surveys collected data on thoughts and feelings about virtual interviews and obstacles encountered during the recruitment season. Both surveys asked about costs for interviews and interview type preference. A response rate of 49% from applicants and 47% from programs was obtained. Virtual interview days were similar in the amount of time and staff hours used compared with traditional days. Applicants spent less on virtual interviews compared with those who underwent traditional interviews (average $725 vs $4312). Programs received more applications than the prior year and spent less money during the virtual cycle. The majority of the applicants (90%) were comfortable with the virtual interview platform, and most (66%) agreed that virtual interviews provided adequate information to determine program rank. Geography was the number 1 rank determining factor. Programs and applicants preferred a form of in-person interviews. Virtual interviews provide cost savings for both applicants and programs. Despite this, both parties prefer a form of in-person interviews.

Association between nursing home staff turnover and infection control citations.

To describe the association between nursing home staff turnover and the presence and scope of infection control citations. Secondary data for all US nursing homes between March 31, 2017, through December 31, 2019 were obtained from Payroll-Based Journal (PBJ), Nursing Home Compare, and Long-Term Care: Facts on Care in the US (LTC Focus). We estimated the association between nurse turnover and the probability of an infection control citation and the scope of the citation while controlling for nursing home fixed effects. Our turnover measure is the percent of the facility's nursing staff hours that were provided by new staff (less than 60 days of experience in the last 180 days) during the 2 weeks prior to the health inspection. We calculated turnover for all staff together and separately for registered nurses, licensed practical nurses (LPNs), and certified nursing assistants. We linked nursing homes standard inspection surveys to 650 million shifts from the PBJ data. We excluded any nursing home with incomplete or missing staffing data. Our final analytic sample included 12,550 nursing homes with 30,536 surveys. Staff turnover was associated with an increased likelihood of an infection control citation (average marginal effect [AME]=0.12 percentage points [pp]; 95% confidence interval [CI]: 0.05, 0.18). LPN (AME=0.06 pp; 95% CI: 0.01, 0.11) turnover was conditionally associated with an infection control citation. Conditional on having at least an isolated citation for infection control, staff turnover was positively associated with receiving a citation coded as a "pattern" (AME=0.21 pp; 95% CI: 0.10, 0.32). Conditional of having at least a pattern citation, staff turnover was positively associated with receiving a widespread citation (AME=0.21 pp; 95% CI: 0.10, 0.32). Turnover was positively associated with the probability of an infection control citation. Staff turnover should be considered an important factor related to the spread of infections within nursing homes.

Impact of the COVID-19 pandemic on the Australian residential aged care facility (RACF) workforce

Objective: We conducted a survey to understand the challenges faced by the staff of residential aged care facilities (RACF), during the COVID-19 pandemic. Background: In the current pandemic, the RACF workforce has been required to work under stressful conditions, with immense mental and physical pressures, resulting in anxiety and stress felt towards their jobs. Study design and methods: We electronically surveyed both clinical and non-clinical staff at public and private RACFs in Australia in June and August 2020. The survey asked a mix of open-ended and closed questions about preparedness for the pandemic, information flow, experience with personal protective equipment (PPE), management of suspected COVID cases, restrictions on visitors, and impact on RACF staff personal and home life. Quantitative data were analysed in SPSS; qualitative data using content analysis. Results: We received 371 responses: 198 from clinical staff and 168 from non-clinical staff. Respondents were between 20–71 years old, and 87% were female most commonly from Victoria (28%) or New South Wales (28%). The majority (80%) felt that Australian RACFs were well-prepared for the pandemic and 87% agreed that relevant healthcare authorities were contactable for information needed. A total of 37% reported challenges in estimating and ordering appropriate quantities of protective equipment. Ninety percent of facilities reported screening residents for possible symptoms and 77% introduced precautions or quarantine measures to protect residents. Most participants (98%) reported their RACF implemented restrictions on visitor access and 43% reported unfair or abusive treatment by family or friends of the residents. Commonly reported personal impacts included: workload increase, stress, emotional toll, family issues and fatigue. Support from colleagues as well as training, de-brief sessions and frequent meetings were identified as helpful facilitators during this time. Conclusion: We identified a wide range of practices and coping strategies among Australian RACFs. Whilst a majority of respondents reported coping well, a large proportion reported struggling both mentally and physically. Factors reported as helpful by the respondents may assist RACFs in planning for future pandemics. Implications for research, policy and practice: Understanding the challenges faced by all levels of staff within RACFs may aid decision-makers on a range of different levels – researchers, aged care providers, local/regional/state health departments and national leaders within government to help inform the development of interventions that may help the sector to recover, as well as prepare for potential future outbreaks. Of particular importance, are interventions or initiatives that focus on supporting the physical and mental health of staff i.e. those that prevent or minimise worker fatigue, emotional burnout and stress. What is already known about the topic? Nursing staff in Australian RACFs did not feel prepared for the COVID outbreak in their workplace. Early in 2020, RACF nurses experienced a greater overall workload and some had their staff hours reduced by their employers due to financial constraints caused by the outbreak. What this paper adds This paper offers a comprehensive insight into how RACF staff coped both individually and as part of the facility overall during the COVID crisis. It identified that a commonly reported source of stress was first-hand verbal abuse from family or friends of residents in response to visitor and lockdown restrictions implemented by the authorities. The paper highlighted that whilst the majority of respondents felt that RACFs were well prepared for managing residents during the pandemic, some facilities experienced significant problems with workloads, PPE and human resourcing. Furthermore, the survey showed that on an individual level, some staff experienced significant mental and physical stress during the outbreak.

Where to start? A new citizen science, remote sensing approach to map recreational disturbance and other degraded areas for restoration planning

This UN Decade on Ecosystem Restoration highlights the capacity of restoration to mitigate trends in biodiversity loss and land degradation. However, many managers lack the tools they need to systematically and comprehensively identify degraded sites to prioritize restoration efforts given limited resources. We developed a novel, inexpensive, low‐tech approach for training and engaging citizen scientists to identify recreational impacts and other degraded areas within a defined unforested area. The mapping process follows four phases: (1) Landscape scans by citizen scientists using Google Earth Pro imagery; (2) A second scan of all marked sites based on high resolution aerial photography; (3) Compilation of basic information about the degraded sites; (4) Addition of associated soil type and plant communities. In the 12,375 ha McDowell Sonoran Preserve (Scottsdale, Arizona), we detected 67 new sites not previously identified by land managers, using an estimated 305 citizen scientist hours and only 30 staff hours. Each site has accompanying information including distance from nearest access point, cause of degradation, and plant and soils detail. After completion, we conducted independent field visits of 33% of the detected sites and verified degradation in all cases. We found that the remotely sensed approach provided better perspective to accurately measure the scale and original source of degradation compared with field visits. The approach can be conducted over a short period of time using citizen scientists, allows managers to undertake landscape level restoration prioritization and planning, and, if repeated, can be used to monitor changes in degradation and restoration over time.

Comparison of home ambulatory type 2 polysomnography with a portable monitoring device and in-laboratory type 1 polysomnography for the diagnosis of obstructive sleep apnea in children.

To compare type 2 polysomnography (T2PSG) to the gold standard type 1 in-laboratory polysomnography (T1PSG) for diagnosing obstructive sleep apnea (OSA) in children; validate home T2PSG in children with suspected OSA. Eighty-one participants (ages 6-18) with suspected OSA had simultaneous T1PSG and T2PSG in the sleep laboratory, 47 participants (ages 5-16) had T1PSG in the sleep laboratory and T2PSG performed at home. Sleep scientists staged and scored polysomnography data, and pediatric sleep physicians assigned a diagnosis of normal or OSA. Participant demographics, polysomnography variables, and diagnoses were compared using chi-square and Fisher's exact tests for nominal variables, t test for continuous variables and Cohen's kappa to assess concordance. Acceptable recordings were obtained for every home T2PSG. When T1PSG and T2PSG were simultaneous, correlation between the number of arousals, respiratory disturbance index, and sleep stages was excellent. T2PSG at home demonstrated less stage 2 sleep, more rapid eye movement sleep, and higher sleep efficiency. Comparison of home T2PSG to T1PSG for diagnosing OSA showed a false-positive rate of 6.6% and false-negative rate of 3% for those performed at home. T2PSG in the home is feasible with excellent concordance with T1PSG for the purposes of diagnosing OSA in children aged 5-18 years. Home T2PSG may be more representative of a "normal" night for children and could benefit those suspected of having OSA by reducing waiting times for laboratory PSG, improving access to PSG and possibly reducing costs of investigating and treating OSA. Withers A, Maul J, Rosenheim E, O'Donnell A, Wilson A, Stick S. Comparison of home ambulatory type 2 polysomnography with a portable monitoring device and in-laboratory type 1 polysomnography for the diagnosis of obstructive sleep apnea in children. J Clin Sleep Med. 2022;18(2):393-402.