Additional Information:
https://www.raconline.org/funding/3791?utm_source=racupdate&utm_medium=email&utm_campaign=update072215
Description:
Data Across Sectors for Health: Empowering Communities Through Shared Data and Information would provide grants to community collaborations and initiatives that have used shared data and information to increase their capacity for planning, implementing, and evaluating health improvement activities.
These community collaborations would be part of a nationwide learning collaborative that would create and share models, and document barriers, solutions, lessons learned, best practices, promising innovations, sustainable examples, and opportunities for replication.
Proposed projects should support sharing, linking, and combining data to create, maintain, or expand an existing implementation of health information technology that leverages clinical encounter data.
Projects should be designed to improve community health and well-being and result in benefits at the individual, family, and community levels.
A site to track announcements of diabetes related research opportunities.
Friday, July 31, 2015
Research and Methods in Health Statistics - DHHS CDC
Additional Information:
http://www.grants.gov/web/grants/view-opportunity.html?oppId=278051
Description:
Research and Methods in Health Statistics Purpose This initiative invites investigator-initiated research grant applications for projects involving the development and testing of statistical and survey methodology relevant to the conduct, analysis and reporting of health surveys and vital records. Existing NCHS data sets alone or in conjunction with other data sets may be used to develop and test new survey methodology, statistical analytical approaches or methods of displaying data. Individual stand-alone projects relevant to the collection, analysis, or display of data are acceptable under this announcement. The R03 mechanism is intended to support small research projects that can be carried out in a short period of time with limited resources. It can be used to support different types of projects including: secondary analysis of existing data; small, self-contained research projects; pilot and feasibility studies; development and testing of statistical and survey methodology; and the development and testing of new survey technology. SURVEY AND STATISTICAL METHODOLOGY: Health research using individual and provider surveys and vital statistics is facing both new and ongoing challenges. In recent years, survey response rates have been falling raising concerns about possible bias in the resulting data. New concerns about confidentiality have been raised which may influence cooperation in survey response. Technological developments have opened up new data collection opportunities but questions remain about the validity and reliability of the data obtained through these new approaches. The increasingly rapid availability of health-related data from non-traditional sources such as website visits and other types of transactions has spurred the demand for rapid information dissemination but what is the accuracy and reliability of data from these sources? The expense and time involved in collecting new data argue for exploring ways to link data sets to obtain maximum use of existing data. Researchers have long been concerned about the accuracy of self-reported data. New methods of collecting biomarker data have made it possible to include specimen collection in traditional surveys, but how accurate are these new methods? How do they relate to self-reported data? Increasingly, there is a demand for providing data in easily understood, eye-catching possibly interactive formats. Examples of topics of interest under this announcement include but are not limited to: o the development and refinement of innovative techniques for measurement of biomarkers in survey research including the collection of biological specimens such as urine or blood, or other physical measures such as heart rate, senses, blood pressure, height and weight; o the development and refinement of summary measures of health; o the development and refinement of measures of health insurance access and use; o the development and improvement of sampling strategies for subpopulations of interest including minority populations, people with specific rare diseases or conditions, specific socioeconomic statuses, or people with only cell phones; o the development and improvement of methods of analysis for small areas or small subpopulations; o the development and improvement of techniques to avoid disclosure of confidential data in public use data sets; o the examination of characteristics of the interview situation that may affect the collection of unbiased data, the assessment of the sources of bias and the impact of biased data on results; o the validation of various sources of data including vital records and electronic health records; o new ways of presenting analytical results to a variety of audiences; o research exploring new data sets available from NCHS including the NHANES National Youth Fitness Survey (NNYFS) http://www.cdc.gov/nchs/nnyfs.htm; NHANES oversample of Asian Americans http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm; o NHIS sexual orientation data http://www.cdc.gov/nchs/nhis/nhis_questionnaires.htm http://www.cdc.gov/nchs/data/nhsr/nhsr077.pdf; o U.S. fetal death data http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm http://www.cdc.gov/nchs/fetal_death.htm; o birth data files including multistate data for selected items exclusive to the 2003 revision of the U.S. Standard Certificate of Live Birth http://www.cdc.gov/nchs/data/nvsr/nvsr62/nvsr62_04.pdf http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm; o Native Hawaiian Pacific Islander NHIS survey http://www.cdc.gov/nchs/nhis/nhpi.html ; o NCHS linked data sets http://www.cdc.gov/nchs/data_access/data_linkage_activities.htm; o NHANES genetic data http://www.cdc.gov/nchs/nhanes/genetics/genetic_types.htm#restricted . Research proposals need not be limited to the examples given above. It is anticipated that many questions will derive from previous or current research. It may be cost-effective to design methodological studies to be carried out in conjunction with ongoing research projects. Applicants are referred to the NCHS website for information on the many other data sets available from NCHS. http://www.cdc.gov/nchs/
http://www.grants.gov/web/grants/view-opportunity.html?oppId=278051
Description:
Research and Methods in Health Statistics Purpose This initiative invites investigator-initiated research grant applications for projects involving the development and testing of statistical and survey methodology relevant to the conduct, analysis and reporting of health surveys and vital records. Existing NCHS data sets alone or in conjunction with other data sets may be used to develop and test new survey methodology, statistical analytical approaches or methods of displaying data. Individual stand-alone projects relevant to the collection, analysis, or display of data are acceptable under this announcement. The R03 mechanism is intended to support small research projects that can be carried out in a short period of time with limited resources. It can be used to support different types of projects including: secondary analysis of existing data; small, self-contained research projects; pilot and feasibility studies; development and testing of statistical and survey methodology; and the development and testing of new survey technology. SURVEY AND STATISTICAL METHODOLOGY: Health research using individual and provider surveys and vital statistics is facing both new and ongoing challenges. In recent years, survey response rates have been falling raising concerns about possible bias in the resulting data. New concerns about confidentiality have been raised which may influence cooperation in survey response. Technological developments have opened up new data collection opportunities but questions remain about the validity and reliability of the data obtained through these new approaches. The increasingly rapid availability of health-related data from non-traditional sources such as website visits and other types of transactions has spurred the demand for rapid information dissemination but what is the accuracy and reliability of data from these sources? The expense and time involved in collecting new data argue for exploring ways to link data sets to obtain maximum use of existing data. Researchers have long been concerned about the accuracy of self-reported data. New methods of collecting biomarker data have made it possible to include specimen collection in traditional surveys, but how accurate are these new methods? How do they relate to self-reported data? Increasingly, there is a demand for providing data in easily understood, eye-catching possibly interactive formats. Examples of topics of interest under this announcement include but are not limited to: o the development and refinement of innovative techniques for measurement of biomarkers in survey research including the collection of biological specimens such as urine or blood, or other physical measures such as heart rate, senses, blood pressure, height and weight; o the development and refinement of summary measures of health; o the development and refinement of measures of health insurance access and use; o the development and improvement of sampling strategies for subpopulations of interest including minority populations, people with specific rare diseases or conditions, specific socioeconomic statuses, or people with only cell phones; o the development and improvement of methods of analysis for small areas or small subpopulations; o the development and improvement of techniques to avoid disclosure of confidential data in public use data sets; o the examination of characteristics of the interview situation that may affect the collection of unbiased data, the assessment of the sources of bias and the impact of biased data on results; o the validation of various sources of data including vital records and electronic health records; o new ways of presenting analytical results to a variety of audiences; o research exploring new data sets available from NCHS including the NHANES National Youth Fitness Survey (NNYFS) http://www.cdc.gov/nchs/nnyfs.htm; NHANES oversample of Asian Americans http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm; o NHIS sexual orientation data http://www.cdc.gov/nchs/nhis/nhis_questionnaires.htm http://www.cdc.gov/nchs/data/nhsr/nhsr077.pdf; o U.S. fetal death data http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm http://www.cdc.gov/nchs/fetal_death.htm; o birth data files including multistate data for selected items exclusive to the 2003 revision of the U.S. Standard Certificate of Live Birth http://www.cdc.gov/nchs/data/nvsr/nvsr62/nvsr62_04.pdf http://www.cdc.gov/nchs/data_access/Vitalstatsonline.htm; o Native Hawaiian Pacific Islander NHIS survey http://www.cdc.gov/nchs/nhis/nhpi.html ; o NCHS linked data sets http://www.cdc.gov/nchs/data_access/data_linkage_activities.htm; o NHANES genetic data http://www.cdc.gov/nchs/nhanes/genetics/genetic_types.htm#restricted . Research proposals need not be limited to the examples given above. It is anticipated that many questions will derive from previous or current research. It may be cost-effective to design methodological studies to be carried out in conjunction with ongoing research projects. Applicants are referred to the NCHS website for information on the many other data sets available from NCHS. http://www.cdc.gov/nchs/
Monday, July 27, 2015
Evidence for Action: Investigator-Initiated Research to Build a Culture of Health
Additional Information:
http://www.rwjf.org/en/library/funding-opportunities/2015/evidence-for-action-investigator-initiated-research-to-build-a-culture-of-health.html?rid=GCwK8mvlIypq6d4XQxCigg&et_cid=308227
Description:
Evidence for Action: Investigator-Initiated Research to Build a Culture of Health is a national program of RWJF that supports the Foundation’s commitment to building a Culture of Health in the United States. The program aims to provide individuals, organizations, communities, policymakers, and researchers with the empirical evidence needed to address the key determinants of health encompassed in the Culture of Health Action Framework. In addition, Evidence for Action will also support efforts to assess outcomes and set priorities for action. It will do this by encouraging and supporting creative, rigorous research on the impact of innovative programs, policies and partnerships on health and well-being, and on novel approaches to measuring health determinants and outcomes.
Approximately $2.2 million will be awarded annually. We expect to fund between five and 12 grants each year for periods of up to 30 months. We anticipate that this funding opportunity will remain open for at least a period of three years; however, decisions about modifications to the program and the duration of the program will be made by RWJF at its sole discretion.
http://www.rwjf.org/en/library/funding-opportunities/2015/evidence-for-action-investigator-initiated-research-to-build-a-culture-of-health.html?rid=GCwK8mvlIypq6d4XQxCigg&et_cid=308227
Description:
Purpose
Total Awards
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