scholarly journals Large Scale Survey Research with Older Adults/Persons with Disabilities in a Public Health Crisis

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1019-1019
Author(s):  
Sarah Dys ◽  
Hannah Huebner ◽  
Norma Carrillo-Van Tongeren ◽  
Courtney Sirk ◽  
Harold Urman ◽  
...  
Keyword(s):  
Public Health ◽  
Older Adults ◽  
Data Collection ◽  
Large Scale ◽  
Technical Assistance ◽  
People With Disabilities ◽  
Training Data ◽  
Field Staff ◽  
Persons With Disabilities ◽  
Health Crisis

Abstract Best practice for measuring quality improvement and consumer satisfaction of health and human services for older adults and people with disabilities relies on in-person survey administration. This poster highlights adaptation strategies undertaken across three large-scale evaluation studies of program/service delivery conducted during the COVID-19 pandemic, necessitating a departure from in-person techniques: 1) Integrated Satisfaction Measurement for the Program of All-Inclusive Care for the Elderly (I-SAT-PACE), 2) National Core Indicators- Aging and Disabilities/Intellectual and Developmental Disabilities (NCI-AD/IDD), and 3) Assisted Living Resident Quality of Life (AL-QOL). Data collection for these projects occurred from September 2020 to August 2021, providing an opportunity to showcase project adaptation over the course of the pandemic. Using project implementation examples across 15 states and approximately 10,100 participants, we discuss implications for successful survey coordination, interviewer training, data collection, and participant/stakeholder engagement during a public health emergency. Strategies included pivoting to phone, Zoom, and paper-based data collection and increasing technical assistance for field staff and participants. Project teams were able to increase access to participation by implementing multimodal survey delivery, mitigate coronavirus exposure, continue collecting older adults and people with disabilities’ experiences, and compare results based on method of delivery. Technology barriers, field staff dropout, need for larger sample sizes, and inclusion of participants with dementia, hearing, and speech impairments present important tradeoffs to consider. These examples indicate it is possible to administer hybrid data collection methods across populations with varying cognitive and physical abilities without compromising data quality.

Toolkit for Epidemiologic Response to an Acute Chemical Release

2016 ◽  
Vol 10 (4) ◽  
pp. 631-632 ◽  
Author(s):  
Mary Anne Duncan ◽  
Maureen F. Orr
Keyword(s):  
Public Health ◽  
Large Scale ◽  
Technical Assistance ◽  
Local Health ◽  
Toxic Substances ◽  
Public Health Action ◽  
Public Health Agencies ◽  
Chemical Release ◽  
State And Local ◽  
The Many

AbstractWhen a large chemical incident occurs and people are injured, public health agencies need to be able to provide guidance and respond to questions from the public, the media, and public officials. Because of this urgent need for information to support appropriate public health action, the Agency for Toxic Substances and Disease Registry (ATSDR) of the US Department of Health and Human Services has developed the Assessment of Chemical Exposures (ACE) Toolkit. The ACE Toolkit, available on the ATSDR website, offers materials including surveys, consent forms, databases, and training materials that state and local health personnel can use to rapidly conduct an epidemiologic investigation after a large-scale acute chemical release. All materials are readily adaptable to the many different chemical incident scenarios that may occur and the data needs of the responding agency. An expert ACE team is available to provide technical assistance on site or remotely. (Disaster Med Public Health Preparedness. 2016;10:631–632)

scholarly journals PERANAN ILO MELALUI PROYEK PROPEL (PROMOTING RIGHTS AND OPPORTUNITIES FOR PEOPLE WITH DISABILITIES IN EMPLOYMENT THROUGH LEGISLATION)-INDONESIA DALAM MEMPROMOSIKAN HAK KESEMPATAN KERJA BAGI PARA PENYANDANG DISABILITAS DI INDONESIA

2017 ◽  
Vol 1 (2) ◽  
pp. 140-151
Author(s):  
Fitria Budi Widya Hanny
Keyword(s):  
Labor Unions ◽  
Technical Assistance ◽  
People With Disabilities ◽  
Employment Opportunities ◽  
Policy Makers ◽  
Persons With Disabilities ◽  
Reduction Techniques ◽  
Online Searches ◽  
The Government ◽  
Data Collection Technique

This study aims to determine the role and efforts of the ILO in promoting the rights of persons with disabilities employment opportunities in Indonesia in 2012-2014. This study used qualitative methods, with the data collection technique literature (online searches, interviews, documentation). As for analyzing the data, researchers used data reduction techniques. The results showed that the role carried out by the ILO through PROPEL project-Indonesia in promoting the rights of persons with disabilities employment opportunities in Indonesia serves as a platform and means. ILO helps, socialize, approach, providing technical assistance and recommend solutions or policies in dealing with disability issues against the government, employers and labor unions in Indonesia. The conclusion from this study is the ILO has contributed to promoting the rights of persons with disabilities employment opportunities in Indonesia, is viewed from many policy makers began raising the issue of disability in providing employment opportunities to Indonesian people with disabilities and priorities Disability Bill for the Government of Indonesia today.

scholarly journals Model of Entrepreneurship for People with Disabilities

2018 ◽  
Vol 54 ◽  
pp. 06008
Author(s):  
S Eko Putro Widoyoko ◽  
Budi Setiawan ◽  
Khabib Sholeh ◽  
Muh. Ibnu Shina
Keyword(s):  
Armed Conflict ◽  
Technical Assistance ◽  
People With Disabilities ◽  
Policy Recommendations ◽  
Persons With Disabilities ◽  
Business Plans ◽  
New Business ◽  
Entrepreneurial Activities ◽  
Theoretical Foundations

Persons with disabilities are often regarded as unproductive citizens, unable to carry out their duties and responsibilities so that their rights are ignored. Indonesia is a country that has various risks of disability due to various causes, such as prolonged armed conflict, chronic diseases and natural disasters in various areas such as earthquakes, flash floods, landslides and so on. People with disabilities are under-represented in the workforce, often facing discrimination by employers, and often not served and protected effectively. To support the active participation of people with disabilities in society and the economy, this paper aims to explore the role of entrepreneurs with disabilities and the entrepreneurship model of people with disabilities in the study area. We explore entrepreneurial activities between people with disabilities, theoretical foundations, provide entrepreneurial benefits and challenges for people with disabilities, and propose policy recommendations for models of entrepreneurship development with disabilities. Development of entrepreneurship programs for people with disabilities is needed to combat these barriers, promote empowerment and facilitate economic independence for people with disabilities. This model includes courses on how to write business plans, one-on-one business guides, technical assistance, new business grants, and assistance from business incubators.

Key Considerations for Preventing Suicide in Older Adults

Crisis ◽  
2011 ◽  
Vol 32 (2) ◽  
pp. 106-109 ◽  
Author(s):  
Annette Erlangsen ◽  
Merete Nordentoft ◽  
Yeates Conwell ◽  
Margda Waern ◽  
Diego De Leo ◽  
...  
Keyword(s):  
Public Health ◽  
Older Adults ◽  
Large Scale ◽  
Expert Panel ◽  
Later Life ◽  
Public Health Care ◽  
Care Planning ◽  
International Expert ◽  
Health Care Planning ◽  
Wide Range

Background: The number of older adults is growing rapidly. This fact, combined with the high rates of suicide in later life, indicates that many more older adults will die by their own hands before rigorous trials can be conducted to fully understand the best approaches to prevent late life suicide. Aims: To disseminate key considerations for interventions addressing senior suicidal behavior. Methods: An international expert panel has reviewed and discussed key considerations for interventions against suicide in older adults based on existing evidence, where available, and expert opinion. Results: A set of new key considerations is divided into: universal, selective, and indicated prevention as well as a section on general considerations. Conclusions: The suggestions span a wide range and are offered for consideration by local groups preparing new interventions, as well as large scale public health care planning.

scholarly journals (A169) Strategic National Stockpile: American Preparedness to a Domestic Biological Attack

2011 ◽  
Vol 26 (S1) ◽  
pp. s59-s59
Author(s):  
A.E. Piombino
Keyword(s):  
Public Health ◽  
Emergency Preparedness ◽  
Large Scale ◽  
Technical Assistance ◽  
Lessons Learned ◽  
Department Of Health ◽  
The Us ◽  
Control And Prevention ◽  
Public Health Emergency Preparedness ◽  
Strategic National Stockpile

This session offers an overview of the Strategic National Stockpile (SNS) and the Cities Readiness Initiative (CRI), including CHEM PACK. Managed by the US Department of Health and Human Services Centers for Disease Control and Prevention (CDC), “push-packs” of this critical federal cache of pharmaceuticals and medical materiel are at sites located throughout the country. The CDC's CRI is a federally funded program designed to compliment the SNS and enhance preparedness in the nation's largest cities and Metropolitan Statistical Areas (MSA) where more than 50% of the US population resides. Through CRI, state and large metropolitan public health departments continue refining plans to respond to a large-scale bioterrorism attack by dispensing antibiotics to the entire population of an identified MSA with 48 hours. The SNS Technical Assistance Review (TAR) will be reviewed, as well as best practices and lessons learned from successful public health emergency preparedness and response programs throughout the US.

scholarly journals Trained Cohorts of University Students are a Useful Resource for Conducting Dietary Surveys in Mongolia

2017 ◽  
Vol 38 (2) ◽  
pp. 267-272 ◽  
Author(s):  
Sabri Bromage ◽  
Holly Ya-Fan Chung ◽  
Hannah Bonville ◽  
Jeannie Choi Sprenger ◽  
Rebecca Lander ◽  
...  
Keyword(s):  
Public Health ◽  
Data Collection ◽  
University Students ◽  
Large Scale ◽  
Low Cost ◽  
Dietary Assessment ◽  
Population Based ◽  
Local Public Health ◽  
Diet Records ◽  
Dietary Surveys

Background: Population-based dietary assessment is important for informing national nutrition policy. The developing country setting presents challenges for robust implementation of dietary surveys, yet effective nutrition interventions are often urgently required. Objective: To develop and evaluate a low-cost approach to epidemiologic dietary assessment in Mongolia, involving the use of large cohorts of local public health and medical students as research assistants for collecting diet records. Methods: From 2011 to 2016, over 200 Mongolian medical and public health university students were trained to collect paired summer and winter 3-day weighed diet records from urban and rural study populations across the geographic expanse of Mongolia. Students were supervised during data collection, and their performance and experience during training and data collection were qualitatively evaluated from their own perspectives as well as those of the investigators. Results: Students collected detailed and thorough diet records and generally reported positive feedback regarding training and data collection. Frequent supervision of students during data collection proved to be extremely worthwhile. While rural participants were amenable to having students follow them, students faced several challenges in assessing the diets of urban participants. These challenges may best be addressed by separately training these participants beforehand. Conclusions: With adequate training and supervision, university students may be a useful and cost-effective resource for large-scale dietary surveys in regions where their use would be practical and culturally appropriate. Further research is warranted to study how well this approach may be adapted outside Mongolia and to other dietary assessment methods and technologies.

scholarly journals Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance

10.2196/21209 ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. e21209
Author(s):  
Niloofar Jalali ◽  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Plinio Pelegrini Morita
Keyword(s):  
Public Health ◽  
Older Adults ◽  
Internet Of Things ◽  
Activity Pattern ◽  
Smart Home ◽  
Large Scale ◽  
Public Health Surveillance ◽  
Activity Patterns ◽  
Health Surveillance ◽  
Easy Access

Background One of the main concerns of public health surveillance is to preserve the physical and mental health of older adults while supporting their independence and privacy. On the other hand, to better assist those individuals with essential health care services in the event of an emergency, their regular activities should be monitored. Internet of Things (IoT) sensors may be employed to track the sequence of activities of individuals via ambient sensors, providing real-time insights on daily activity patterns and easy access to the data through the connected ecosystem. Previous surveys to identify the regular activity patterns of older adults were deficient in the limited number of participants, short period of activity tracking, and high reliance on predefined normal activity. Objective The objective of this study was to overcome the aforementioned challenges by performing a pilot study to evaluate the utilization of large-scale data from smart home thermostats that collect the motion status of individuals for every 5-minute interval over a long period of time. Methods From a large-scale dataset, we selected a group of 30 households who met the inclusion criteria (having at least 8 sensors, being connected to the system for at least 355 days in 2018, and having up to 4 occupants). The indoor activity patterns were captured through motion sensors. We used the unsupervised, time-based, deep neural-network architecture long short-term memory-variational autoencoder to identify the regular activity pattern for each household on 2 time scales: annual and weekday. The results were validated using 2019 records. The area under the curve as well as loss in 2018 were compatible with the 2019 schedule. Daily abnormal behaviors were identified based on deviation from the regular activity model. Results The utilization of this approach not only enabled us to identify the regular activity pattern for each household but also provided other insights by assessing sleep behavior using the sleep time and wake-up time. We could also compare the average time individuals spent at home for the different days of the week. From our study sample, there was a significant difference in the time individuals spent indoors during the weekend versus on weekdays. Conclusions This approach could enhance individual health monitoring as well as public health surveillance. It provides a potentially nonobtrusive tool to assist public health officials and governments in policy development and emergency personnel in the event of an emergency by measuring indoor behavior while preserving privacy and using existing commercially available thermostat equipment.

scholarly journals Understanding User Behavior Through the Use of Unsupervised Anomaly Detection: Proof of Concept Using Internet of Things Smart Home Thermostat Data for Improving Public Health Surveillance (Preprint)

2020 ◽  
Author(s):  
Niloofar Jalali ◽  
Kirti Sundar Sahu ◽  
Arlene Oetomo ◽  
Plinio Pelegrini Morita
Keyword(s):  
Public Health ◽  
Older Adults ◽  
Internet Of Things ◽  
Activity Pattern ◽  
Smart Home ◽  
Large Scale ◽  
Public Health Surveillance ◽  
Activity Patterns ◽  
Health Surveillance ◽  
Easy Access

BACKGROUND One of the main concerns of public health surveillance is to preserve the physical and mental health of older adults while supporting their independence and privacy. On the other hand, to better assist those individuals with essential health care services in the event of an emergency, their regular activities should be monitored. Internet of Things (IoT) sensors may be employed to track the sequence of activities of individuals via ambient sensors, providing real-time insights on daily activity patterns and easy access to the data through the connected ecosystem. Previous surveys to identify the regular activity patterns of older adults were deficient in the limited number of participants, short period of activity tracking, and high reliance on predefined normal activity. OBJECTIVE The objective of this study was to overcome the aforementioned challenges by performing a pilot study to evaluate the utilization of large-scale data from smart home thermostats that collect the motion status of individuals for every 5-minute interval over a long period of time. METHODS From a large-scale dataset, we selected a group of 30 households who met the inclusion criteria (having at least 8 sensors, being connected to the system for at least 355 days in 2018, and having up to 4 occupants). The indoor activity patterns were captured through motion sensors. We used the unsupervised, time-based, deep neural-network architecture long short-term memory-variational autoencoder to identify the regular activity pattern for each household on 2 time scales: annual and weekday. The results were validated using 2019 records. The area under the curve as well as loss in 2018 were compatible with the 2019 schedule. Daily abnormal behaviors were identified based on deviation from the regular activity model. RESULTS The utilization of this approach not only enabled us to identify the regular activity pattern for each household but also provided other insights by assessing sleep behavior using the sleep time and wake-up time. We could also compare the average time individuals spent at home for the different days of the week. From our study sample, there was a significant difference in the time individuals spent indoors during the weekend versus on weekdays. CONCLUSIONS This approach could enhance individual health monitoring as well as public health surveillance. It provides a potentially nonobtrusive tool to assist public health officials and governments in policy development and emergency personnel in the event of an emergency by measuring indoor behavior while preserving privacy and using existing commercially available thermostat equipment.

scholarly journals Electronic Data Management in Public Health and Humanitarian Crises. Upgrades, Scalability and Impact of ODK

2020 ◽  
Author(s):  
Michael Marks ◽  
Sham Lal ◽  
Hannah Brindle ◽  
Pierre-Stéphane Gsell ◽  
Matthew MacGregor ◽  
...  
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Clinical Research ◽  
Data Management ◽  
Open Source ◽  
Large Scale ◽  
World Health ◽  
Electronic Data ◽  
Diverse Range ◽  
Health And Social Care

Abstract BackgroundODK provides software and standards that are popular solutions for off-grid electronic data collection and are the basis of related products like CommCare, Enketo, Ona, SurveyCTO and KoBoToolbox. In combination with the use of statistical analysis software such as R, these tools provide fully open-source options for off-grid use in public health data collection, management, analysis and reporting.ResultsNew functions were developed to facilitate the use of ODK, Enketo and R in large scale data collection, aggregation, monitoring and near-real-time analysis during clinical research in health emergencies. We present open-source enhancements to ODK that include a built-in audit-trail, a framework and companion app for biometric registration of ISO/IEC 19794-2 fingerprint templates, enhanced performance features, better scalability for studies featuring millions of data form submissions, increased options for parallelisation of research projects, and pipelines for automated management and analysis of data. We also developed novel encryption protocols for enhanced web-form security in Enketo. During the 2018-2020 Ebola epidemic in the North Kivu & Ituri regions of Democratic Republic of Congo, ODK, Enketo and R were leveraged to support the DRC Ministère de la Santé RDC and World Health Organization in their efforts to administer an experimental vaccine (VSV-Zebov-GP) as part of their strategy to control the transmission of infection. Against the backdrop of a complex and challenging epidemic response, our enhanced platform of open tools was used to collect and manage data from more than 280,000 eligible study participants who received VSV under informed consent. These data were used to determine whether the VSV-Zebov-GP was safe and effective and to guide daily field operations.ConclusionsWe present open source developments that make electronic data management during clinical research and health emergencies more viable and robust. These developments will also enhance and expand the functionality of a diverse range of data collection platforms (Ona, KoBoToolbox etc.) that are based on the ODK software and standards.FundingThis research is funded by the Department of Health and Social Care using UK Aid funding and is managed by the NIHR (PR-OD-1017-20001).

scholarly journals The Association Between Online Social Network Support and Fear of COVID-19 Among Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 296-296
Author(s):  
Andrew Steward ◽  
Matthew Schilz ◽  
Kaipeng Wang ◽  
M Pilar Ingle ◽  
Carson de Fries ◽  
...  
Keyword(s):  
Public Health ◽  
Older Adults ◽  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Online Social Network ◽  
Convenience Sample ◽  
Health Crisis ◽  
Network Support ◽  
Social Network Support

Abstract Public health concerns related to the COVID-19 health crisis are particularly salient among older adults. Fear surrounding COVID-19 has also been associated with increased spread, morbidity, and mortality of the disease. Prior to the pandemic, loneliness and social isolation were already a concern for older adults, and the pandemic further constrained how older adults may socially connect with others because of public health safety precautions. Online social networks are a valuable form of support for older adults, and usage of online social networks during the pandemic may have expanded. Thus, the purpose of this study is to examine the association between online social networks and fear of COVID-19 among older adults. A convenience sample (n = 239) of adults 60+ years of age in the U.S. completed a 20-minute, online survey. The independent variable utilized the Lubben Social Network Scale (four items), focusing on online support. The dependent variable was measured by the Fear of COVID-19 scale (eight items). Results of ordinary least squares regression show that increased online social network support was significantly associated with decreased fear of COVID-19 (p < 0.05), while holding constant age, sex, race, marital status, education, whether a respondent lives alone, and self-rated health. Findings highlight the importance of online social networks for older adults during the COVID-19 crisis. Existing online networks which engage older adults should be expanded, and efforts should be made to provide older adults with online forms of social support who may experience barriers or inequities related to accessing technology.

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