To send content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about sending content to .
To send content items to your Kindle, first ensure email@example.com
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about sending to your Kindle.
Note you can select to send to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The Dallas Convention Center received over 3800 evacuees because of the unprecedented flooding caused by Hurricane Harvey. A multidisciplinary medical clinic was established onsite to address evacuee needs for medical evaluations, emergency care, chronic disease management, pharmaceuticals, durable medical equipment, and local health services integration. To operate efficiently, the Dallas Mega-Shelter Emergency Operations Center (EOC) worked with the Mega-Shelter Medical Clinic (MMC) under a fluid incident command (IC) structure that was National Incident Management System (NIMS) compliant. Iterations of MMC IC demonstrated maturations in organizational structure while supporting MMC operations that varied from rigid NIMS doctrine.
To explore the use of a fluid IC structure at a large evacuation medical shelter after Hurricane Harvey.
We observed evolutions of IC organizational charts and operational impacts.
Modifications through just-in-time iterations of the IC organizational chart were posted and reviewed with MMC IC and EOC sector chiefs. Changes in the organizational chart were noted to improve identification of logistical needs, supply delivery, coordinate with other agencies, and to make decisions for resource typing and personnel utilization. Adaptations also improved communication, which led to timely situational awareness and reporting accuracy.
MMC medical services were improved by allowing modifications and adaptations to NIMS compliant MMC IC organizational roles and duty assignments. The fluidity of IC structure with ability for just-in-time modifications directly impacted the provision of disaster medical services. Unique situational awareness, coordination of care pathways within the local innate health infrastructure, compliance with health service regulations, and personnel resource typing all contributed to and benefitted from these IC modifications. MMC and EOC IC collaboration facilitated effective communication and maintained an appropriate span of control and efficient activity reporting.
Hurricane Harvey made landfall in southeast Texas in August 2017, causing unprecedented flooding throughout the Texas coastal region. Residents of affected regions were forced to evacuate to nearby unaffected areas, including Dallas, TX, where a large shelter operation was opened for 23 days to care for those evacuees. Retrospective evaluation of pharmaceutical prescribing patterns for the evacuees who self-presented to the Megashelter Medical Clinic (MMC) established in the shelter contributes to developing evidence-based planning strategies for healthcare delivery in the post-disaster setting.
To describe the pharmacy needs of a displaced population following a large-scale evacuation after a hurricane
De-identified prescription records written and filled at a shelter pharmacy were reviewed, looking at both cost and category of medications dispensed over time.
Approximately 41% of evacuees with a total of 2,654 visits utilized the MMC clinic, resulting in 1,590 prescriptions filled with an associated cost of $78,039. The most commonly prescribed drug categories were cardiovascular (21.2%), neuropsychotropic (15.6%), infectious disease (12.5%), and endocrine (9.6%). While the most commonly dispensed were antihypertensives, diabetes treatment-related prescriptions, antibacterials, antidepressants, and NSAIDs, the costliest individual prescriptions were antiretrovirals and antipsychotics.
Prescribing patterns for the MMC differed from normal prescribing patterns of a general population. Of the prescriptions dispensed at the MMC, pharmaceutical prescription patterns suggest the immediate needs of evacuees differ from later needs. There is a greater need for chronic disease management in the early phase of shelter operations, and an increasing need for neuropsychotropic and infectious disease prescriptions over time. Understanding overall patterns of drug utilization over the duration of the shelter provides valuable insight on post-disaster medical resource utilization in evacuee populations.
After Hurricane Harvey and the flooding that ensued, 3,829 displaced persons were transported from their homes and sheltered in the Dallas Convention Center. This large general population sheltering operation was medically supported by the onsite Mega-Shelter Medical Clinic (MMC). In an altered standard of care environment, a number of multi-disciplinary medical services were provided including emergent management, acute pediatric and adult care, psychiatric/behavioral services, onsite pharmaceutical, and durable medical equipment distribution, epidemiologic surveillance, and select laboratory services.
To describe how onsite medical care in the adapted environment of a large population shelter can provide comparable services and limit the direct impact on the local medical community.
A retrospective chart review of medical records was generated for all clinical encounters at the MMC. Data were sorted by daily census, disease surveillance, medical decision making, treatment, and transport destinations.
40.7% of registered evacuees utilized the MMC accounting for a total of 2,654 clinic visits by 1,560 unique patients representing all age groups. During the sustained MMC operations, 8% of patients required emergency transport and 500 additional patient transports were arranged for clinic appointments. No deaths occurred and no iatrogenic morbidity was reported.
Medical care was provided for a large number of evacuees which mitigated the potential impact on the local medical infrastructure. The provision of medical services in a large population shelter may necessitate adaptation to the standard of care. However, despite the nontraditional clinical setting, care delivery was not compromised.
In the United States, over 50% of people have at least one chronic medical condition, access, or functional limitation. In 2017 during Hurricane Harvey, the establishment of a comprehensive multidisciplinary onsite medical clinic provided health and medical services to over 3,800 evacuees at the Dallas Mega Shelter, providing large-scale general population sheltering support to all evacuees and prioritizing family unit integrity by meeting physical, sensory, and cognitive limitations, and chronic medical conditions. The effectiveness of the Dallas Mega Shelter onsite medical operations supporting this aim is reviewed.
To utilize onsite health and medical resources to meet access and functional needs of evacuees seeking general population mass sheltering in Dallas, Texas during Hurricane Harvey.
Over 3,800 evacuees were evaluated for functional needs support services (FNSS) resulting in over 2,500 evacuee patient encounters during 21 continuous days of onsite health and medical clinic operations.1 A comprehensive array of services were available at no cost to the evacuees and were in accordance with the Federal Emergency Management Association (FEMA) published Guidance on Planning for Integration of Functional Needs Support Service in General Population Shelters.2 The goal to maintain nearly all evacuees choosing to stay in the Mega Shelter was achieved. The challenges, limitations, and risks identified are reviewed.
FNSS guidelines require all persons, regardless of limitations, when evacuated from home be provided all services necessary to allow them to remain in general population sheltering.2 This prioritization of personal choice, functional independence, and family integrity for those with comprehensive FNSS requirements presented notable challenges, including public health and safety risks impacting the wellbeing of others. Meeting these expectations must be balanced with maintaining shelter integrity.
Objectives: Prior research has identified numerous genetic (including sex), education, health, and lifestyle factors that predict cognitive decline. Traditional model selection approaches (e.g., backward or stepwise selection) attempt to find one model that best fits the observed data, risking interpretations that only the selected predictors are important. In reality, several predictor combinations may fit similarly well but result in different conclusions (e.g., about size and significance of parameter estimates). In this study, we describe an alternative method, Information-Theoretic (IT) model averaging, and apply it to characterize a set of complex interactions in a longitudinal study on cognitive decline. Methods: Here, we used longitudinal cognitive data from 1256 late–middle aged adults from the Wisconsin Registry for Alzheimer’s Prevention study to examine the effects of sex, apolipoprotein E (APOE) ɛ4 allele (non-modifiable factors), and literacy achievement (modifiable) on cognitive decline. For each outcome, we applied IT model averaging to a set of models with different combinations of interactions among sex, APOE, literacy, and age. Results: For a list-learning test, model-averaged results showed better performance for women versus men, with faster decline among men; increased literacy was associated with better performance, particularly among men. APOE had less of an association with cognitive performance in this age range (∼40–70 years). Conclusions: These results illustrate the utility of the IT approach and point to literacy as a potential modifier of cognitive decline. Whether the protective effect of literacy is due to educational attainment or intrinsic verbal intellectual ability is the topic of ongoing work. (JINS, 2019, 25, 119–133)
Objectives: A major challenge in cognitive aging is differentiating preclinical disease-related cognitive decline from changes associated with normal aging. Neuropsychological test authors typically publish single time-point norms, referred to here as unconditional reference values. However, detecting significant change requires longitudinal, or conditional reference values, created by modeling cognition as a function of prior performance. Our objectives were to create, depict, and examine preliminary validity of unconditional and conditional reference values for ages 40–75 years on neuropsychological tests. Method: We used quantile regression to create growth-curve–like models of performance on tests of memory and executive function using participants from the Wisconsin Registry for Alzheimer’s Prevention. Unconditional and conditional models accounted for age, sex, education, and verbal ability/literacy; conditional models also included past performance on and number of prior exposures to the test. Models were then used to estimate individuals’ unconditional and conditional percentile ranks for each test. We examined how low performance on each test (operationalized as <7th percentile) related to consensus-conference–determined cognitive statuses and subjective impairment. Results: Participants with low performance were more likely to receive an abnormal cognitive diagnosis at the current visit (but not later visits). Low performance was also linked to subjective and informant reports of worsening memory function. Conclusions: The percentile-based methods and single-test results described here show potential for detecting troublesome within-person cognitive change. Development of reference values for additional cognitive measures, investigation of alternative thresholds for abnormality (including multi-test criteria), and validation in samples with more clinical endpoints are needed. (JINS, 2019, 25, 1–14)
Jamestown Canyon and snowshoe hare viruses are two emerging human pathogens associated with cases of neuroinvasive disease in North America. This study aimed to identify environmental and individual risk factors for seropositivity to these arboviruses in humans and pet dogs from Québec, Canada, 2012–2014. In humans, areas with moderate densities of white-tailed deer (Odocoileus virginianus) were associated with higher odds of seropositivity compared with areas with low densities of white-tailed deer (OR 2.50, P = 0.009) and odds of seropositivity were higher in males than in females (OR 2.03, P = 0.016). Among humans reporting more than 10 mosquito bites weekly, the odds of being seropositive were 4.44 times higher (P = 0.004) for people living in hardwood forested areas. Exposure to areas with coniferous forests was identified as the main environmental risk factor for seroconversion in dogs (OR 2.39, P = 0.04). These findings may help target further public health research, diagnostic and surveillance efforts in Canada.
Periodic outbreaks of West Nile virus (WNV), Eastern equine encephalitis virus (EEEV) and to a lesser extent, California serogroup viruses (CSGV), have been reported in parts of Canada in the last decade. This study was designed to provide a broad assessment of arboviral activity in Quebec, Canada, by conducting serological surveys for these arboviruses in 196 horses, 1442 dogs and 485 humans. Sera were screened by a competitive enzyme linked immunosorbent assay and positive samples confirmed by plaque reduction neutralisation tests. The percentage of seropositive samples was 83·7%, 16·5%, 7·1% in horses, 18·8%, 0·6%, 0% in humans, 11·7%, 3·1%, 0% in adult dogs and 2·9%, 0·3%, 0% in juvenile dogs for CSGV, WNV and EEEV, respectively. Serological results in horses and dogs appeared to provide a meaningful assessment of risk to public health posed by multiple arboviruses.
The identification of specific environments sustaining emerging arbovirus amplification and transmission to humans is a key component of public health intervention planning. This study aimed at identifying environmental factors associated with West Nile virus (WNV) infections in southern Quebec, Canada, by modelling and jointly interpreting aggregated clinical data in humans and serological data in pet dogs. Environmental risk factors were estimated in humans by negative binomial regression based on a dataset of 191 human WNV clinical cases reported in the study area between 2011 and 2014. Risk factors for infection in dogs were evaluated by logistic and negative binomial models based on a dataset including WNV serological results from 1442 dogs sampled from the same geographical area in 2013. Forested lands were identified as low-risk environments in humans. Agricultural lands represented higher risk environments for dogs. Environments identified as impacting risk in the current study were somewhat different from those identified in other studies conducted in north-eastern USA, which reported higher risk in suburban environments. In the context of the current study, combining human and animal data allowed a more comprehensive and possibly a more accurate view of environmental WNV risk factors to be obtained than by studying aggregated human data alone.
Objectives: The purpose of this study was to investigate the longitudinal trajectory of self- and informant-subjective cognitive complaints (SCC), and to determine if SCC predict longitudinal changes in objective measures (OM) of cognitive function. Methods: The study included healthy and cognitively normal late middle-aged adults enriched with a family history of AD who were evaluated at up to three visits over a 4-year period. At each visit (Visit 1–3), self- and informant-SCC and OM were evaluated. Linear mixed models were used to determine if the longitudinal rate of change of self- and informant-SCC were associated with demographic variables, depressive symptoms, family history (FH), and apolipoprotein epsilon 4 (APOE4) status. The same modeling approach was used to examine the effect of Visit 1 SCC on longitudinal cognitive change after controlling for the same variables. Results: At Visit 1, more self-SCC were associated with fewer years of education and more depressive symptoms. SCC were also associated with poorer performance on cognitive measures, such that more self-SCC at Visit 1 were associated with poorer performance on memory and executive functioning measures at Visit 1, while more informant-SCC were associated with faster rate of longitudinal decline on a measure of episodic learning and memory. FH and APOE4 status were not associated with SCC. Discussion: Self- and informant-SCC showed an association with OM, albeit over different time frames in our late middle-aged sample. Additional longitudinal follow-up will likely assist in further clarifying these relationships as our sample ages and more pronounced cognitive changes eventually emerge. (JINS, 2017, 23, 617–626)
Antenatal healthy lifestyle interventions are frequently implemented in overweight and obese pregnancy, yet there is inconsistent reporting of the behaviour-change methods and behavioural outcomes. This limits our understanding of how and why such interventions were successful or not.
The current paper discusses the application of behaviour-change theories and techniques within complex lifestyle interventions in overweight and obese pregnancy. The authors propose a decision tree to help guide researchers through intervention design, implementation and evaluation. The implications for adopting behaviour-change theories and techniques, and using appropriate guidance when constructing and evaluating interventions in research and clinical practice are also discussed.
To enhance the evidence base for successful behaviour-change interventions during pregnancy, adoption of behaviour-change theories and techniques, and use of published guidelines when designing lifestyle interventions are necessary. The proposed decision tree may be a useful guide for researchers working to develop effective behaviour-change interventions in clinical settings. This guide directs researchers towards key literature sources that will be important in each stage of study development.
Widespread access to the internet is offering new possibilities for data collection in surveillance. We explore, in this study, the possibility of using an electronic tool to monitor occurrence of the tick vector of Lyme disease, Ixodes scapularis. The study aimed to compare the capacity for ticks to be identified in web-based submissions of digital images/photographs, to the traditional specimen-based identification method used by the provincial public health laboratory in Quebec, Canada. Forty-one veterinary clinics participated in the study by submitting digital images of ticks collected from pets via a website for image-based identification by an entomologist. The tick specimens were then sent to the provincial public health laboratory to be identified by the ‘gold standard’ method using a microscope. Of the images submitted online, 74·3% (284/382) were considered of high-enough quality to allow identification. The laboratory identified 382 tick specimens from seven different species, with I. scapularis representing 76% of the total submissions. Of the 284 ticks suitable for image-based species identification, 276 (97·2%) were correctly identified (Kappa statistic of 0·92, Z = 15·46, P < 0·001). This study demonstrates that image-based tick identification may be an accurate and useful method of detecting ticks for surveillance when images are of suitable quality.
Eastern equine encephalitis (EEE) is a rare but severe emerging vector-borne disease affecting human and animal populations in the northeastern United States where it is endemic. Key knowledge gaps remain about the epidemiology of EEE virus (EEEV) in areas where its emergence has more recently been reported. In Eastern Canada, viral activity has been recorded in mosquitoes and horses throughout the 2000s but cases of EEEV in humans have not been reported so far. This study was designed to provide an assessment of possible EEEV human exposure by modelling environmental risk factors for EEEV in horses, identifying high-risk environments and mapping risk in the province of Quebec, Canada. According to logistic models, being located near wooded swamps was a risk factor for seropositivity or disease in horses [odds ratio (OR) 4·15, 95% confidence interval (CI) 1·16–14·8) whereas being located on agricultural lands was identified as protective (OR 0·75, 95% CI 0·62–0·92). A better understanding of the environmental risk of exposure to EEEV in Canada provides veterinary and public health officials with enhanced means to more effectively monitor the emergence of this public health risk and design targeted surveillance and preventive measures.
Objectives: Intraindividual cognitive variability (IICV) has been shown to differentiate between groups with normal cognition, mild cognitive impairment (MCI), and dementia. This study examined whether baseline IICV predicted subsequent mild to moderate cognitive impairment in a cognitively normal baseline sample. Methods: Participants with 4 waves of cognitive assessment were drawn from the Wisconsin Registry for Alzheimer’s Prevention (WRAP; n=684; 53.6(6.6) baseline age; 9.1(1.0) years follow-up; 70% female; 74.6% parental history of Alzheimer’s disease). The primary outcome was Wave 4 cognitive status (“cognitively normal” vs. “impaired”) determined by consensus conference; “impaired” included early MCI (n=109), clinical MCI (n=11), or dementia (n=1). Primary predictors included two IICV variables, each based on the standard deviation of a set of scores: “6 Factor IICV” and “4 Test IICV”. Each IICV variable was tested in a series of logistic regression models to determine whether IICV predicted cognitive status. In exploratory analyses, distribution-based cutoffs incorporating memory, executive function, and IICV patterns were used to create and test an MCI risk variable. Results: Results were similar for the IICV variables: higher IICV was associated with greater risk of subsequent impairment after covariate adjustment. After adjusting for memory and executive functioning scores contributing to IICV, IICV was not significant. The MCI risk variable also predicted risk of impairment. Conclusions: While IICV in middle-age predicts subsequent impairment, it is a weaker risk indicator than the memory and executive function scores contributing to its calculation. Exploratory analyses suggest potential to incorporate IICV patterns into risk assessment in clinical settings. (JINS, 2016, 22, 1016–1025)
The challenges presented by traumatic injuries in low-resource communities are especially relevant in South Sudan. This study was conducted to assess whether a 3-day wilderness first aid (WFA) training course taught in South Sudan improved first aid knowledge. Stonehearth Open Learning Opportunities (SOLO) Schools designed the course to teach people with limited medical knowledge to use materials from their environment to provide life-saving care in the event of an emergency.
A pre-test/post-test study design was used to assess first aid knowledge of 46 community members in Kit, South Sudan, according to a protocol approved by the University of New England Institutional Review Board. The course and assessments were administered in English and translated in real-time to Acholi and Arabic, the two primary languages spoken in the Kit region. Descriptive statistics, t-test, ANOVA, and correlation analyses were conducted.
Results included a statistically significant improvement in first aid knowledge after the 3-day training course: t(38)=3.94; P<.001. Although men started with more health care knowledge: (t(37)=2.79; P=.008), men and women demonstrated equal levels of knowledge upon course completion: t(37)=1.56; P=.88.
This research, which may be the first of its kind in South Sudan, provides evidence that a WFA training course in South Sudan is efficacious. These findings suggest that similar training opportunities could be used in other parts of the world to improve basic medical knowledge in communities with limited access to medical resources and varying levels of education and professional experiences.
KatonaLB, DouglasWS, LenaSR, RatnerKG, CrothersD, ZondervanRL, RadisCD. Wilderness First Aid Training as a Tool for Improving Basic Medical Knowledge in South Sudan. Prehosp Disaster Med. 2015;30(6):574–578.
Voters and political candidates increasingly use social networking sites (SNSs) such as Facebook. This study uses data from an online posttest-only experiment (N = 183) in analyzing how exposure to supportive or challenging user comments on a fictional candidate's Facebook page influenced participants’ perceptions of and willingness to vote for the candidate, as well as whether candidate replies to each type of user comments affected these outcomes. Participants who viewed a page with supportive comments and “likes” reported more favorable perceptions of and greater support for the candidate, relative to participants who viewed a page with challenging comments. Thus, the appearance of interactivity between a candidate and other users on the candidate's Facebook page can shape the responses of those viewing the page. However, exposure to candidate replies to either supportive or challenging comments did not lead to significantly more favorable perceptions or a greater likelihood of voting for the candidate.
Since the publication of “A Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals” in 2008, prevention of healthcare-associated infections (HAIs) has become a national priority. Despite improvements, preventable HAIs continue to occur. The 2014 updates to the Compendium were created to provide acute care hospitals with up-to-date, practical, expert guidance to assist in prioritizing and implementing their HAI prevention efforts. It is the product of a highly collaborative effort led by the Society for Healthcare Epidemiology of America (SHEA), the Infectious Diseases Society of America (IDSA), the American Hospital Association (AHA), the Association for Professionals in Infection Control and Epidemiology (APIC), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise, including the Centers for Disease Control and Prevention (CDC), the Institute for Healthcare Improvement (IHI), the Pediatric Infectious Diseases Society (PIDS), the Society for Critical Care Medicine (SCCM), the Society for Hospital Medicine (SHM), and the Surgical Infection Society (SIS).
Since the publication of “A Compendium of Strategies to Prevent Healthcare-Associated Infections in Acute Care Hospitals” in 2008, prevention of healthcare-associated infections (HAIs) has become a national priority. Despite improvements, preventable HAIs continue to occur. The 2014 updates to the Compendium were created to provide acute care hospitals with up-to-date, practical, expert guidance to assist in prioritizing and implementing their HAI prevention efforts. They are the product of a highly collaborative effort led by the Society for Healthcare Epidemiology of America (SHEA), the Infectious Diseases Society of America (IDSA), the American Hospital Association (AHA), the Association for Professionals in Infection Control and Epidemiology (APIC), and The Joint Commission, with major contributions from representatives of a number of organizations and societies with content expertise, including the Centers for Disease Control and Prevention(CDC), the Institute for Healthcare Improvement (IHI), the Pediatric Infectious Diseases Society (PIDS), the Society for Critical Care Medicine (SCCM), the Society for Hospital Medicine (SHM), and the Surgical Infection Society (SIS).