Plain Language Abstract Submission Form

Introduction

Please upload a structured plain language abstract (instructions HERE) summarizing the proposed research study. We are accepting applications for research proposals that fall under one of the following key purposes: (1) Observational, comparative effectiveness research; or (2) Clinical research studies, including provider and patient recruitment into Phase 3 and Phase 4 randomized trials.

Initial Eligibility & Feasibility Review: Once received, a representative from the LTC Data Cooperative team will conduct an initial review (three business days) to ensure that the proposed study aligns with approved research categories and is feasible with the EHR data available.
- If the proposed research does NOT meet the criteria for eligibility or feasibility, the abstract will be returned to the researcher with feedback. Researchers may request a meeting with the LTC Data Cooperative team to discuss and potentially resubmit.
Internal Content Review: If the proposal does meet the criteria for eligibility and feasibility, the plain language abstract will go into an internal content review period. The abstract will be reviewed by a team of experts who will ensure the abstract is readable to the provider community. The abstract will be returned to the researcher with proposed edits and comments within five business days.
Application Submission: The researcher will receive approval to submit a full application HERE with their updated plain language abstract (with the proposed edits and comments resolved), along with a data request form to complete. Future publications based on LTC Data Cooperative data must align with the study objectives, design, and key measures and outcomes described in the final version of the Plain Language Abstract, per the Publications Policy.

NOTE: Please do NOT submit an application until your plain language abstract has been reviewed and approved. If you have questions on the application and review process, available data, or appropriate types of research, we are happy to set up a brief call to discuss. Please email us at LTCDataCooperative@AHCA.org to schedule a time.

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* Project Title

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* Researcher's Information

Principle Investigator *

Institution

Email Address *

Phone Number

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* Which of the following categories of research does your project fall under?

Observational, comparative effectiveness research (i.e. comparing outcomes for residents who were or were not exposed to a particular treatment (drug, test, or care regimen) or who were exposed to different treatments intended to address the same clinical condition)

Clinical research study that tests and evaluates interventions in post-acute and long-term care facilities, such as a pragmatic trial

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* Deadlines: If you have any deadlines we should be aware of, please note them here. Please refer to the timelines on our website here for turnaround time for a letter of support and plan accordingly.

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* Plain Language Abstract Upload: Please upload a plain language structured abstract here (750 words max). The audience for this abstract is nursing home providers who have expertise in the long-term care policy and practice environment and are not formally trained in research. They will review the abstract and provide feedback which will be reviewed by the LTC Data Cooperative Research Review Committee, who makes the final decision on your application.

The abstract should clearly and succinctly describe the study in plain language and include the section headings below:

Background and importance. What are you trying to demonstrate and how will it help providers improve resident care?

Specific aims.

Study design, stated briefly in plain language.

Study population. If you only need data on a subset of nursing homes and/or residents, state that here.

Intervention, if applicable.

Key measures and outcomes. Example: “We will compare the rates of antibiotic prescriptions and urinalyses between nursing homes that did vs. did not receive antibiotic stewardship training.”

The EHR data elements you are requesting and why. Example: “We will use medication administration records (MAR), vital signs, and diagnoses that are linked to MDS data and Medicare claims to look at antibiotic prescribing and hospitalizations for residents with dementia.”

Provider engagement. If you have engaged, or will engage, nursing home providers in your study, and how. For intervention studies, specify whether you have already recruited nursing homes for participation. Please note that we ask all researchers to present at one or more of our quarterly provider town halls, to get feedback on study design, discuss interpretation of preliminary results, and collaborate with providers.

Implications for providers, such as: Potential impact on practice and/or policy; Alignment with nursing home provider priorities; Acceptability, i.e. how likely are providers to adopt the intervention and/or findings?; Feasibility, i.e. how practical is the intervention and/or findings under current conditions? and; Any costs, burden, or risks for providers, residents, or other key stakeholders.

Abstracts with overly technical academic language or failing to include the above elements will be returned for revisions.

PDF, DOC, DOCX file types only.

Choose File

Plain Language Abstract Upload: Please upload a plain language structured abstract here (750 words max). The audience for this abstract is nursing home providers who have expertise in the long-term care policy and practice environment and are not formally trained in research. They will review the abstract and provide feedback which will be reviewed by the LTC Data Cooperative Research Review Committee, who makes the final decision on your application.The abstract should clearly and succinctly describe the study in plain language and include the section headings below: Background and importance. What are you trying to demonstrate and how will it help providers improve resident care? Specific aims. Study design, stated briefly in plain language. Study population. If you only need data on a subset of nursing homes and/or residents, state that here. Intervention, if applicable. Key measures and outcomes. Example: “We will compare the rates of antibiotic prescriptions and urinalyses between nursing homes that did vs. did not receive antibiotic stewardship training.” The EHR data elements you are requesting and why. Example: “We will use medication administration records (MAR), vital signs, and diagnoses that are linked to MDS data and Medicare claims to look at antibiotic prescribing and hospitalizations for residents with dementia.” Provider engagement. If you have engaged, or will engage, nursing home providers in your study, and how. For intervention studies, specify whether you have already recruited nursing homes for participation. Please note that we ask all researchers to present at one or more of our quarterly provider town halls, to get feedback on study design, discuss interpretation of preliminary results, and collaborate with providers. Implications for providers, such as: Potential impact on practice and/or policy; Alignment with nursing home provider priorities; Acceptability, i.e. how likely are providers to adopt the intervention and/or findings?; Feasibility, i.e. how practical is the intervention and/or findings under current conditions? and; Any costs, burden, or risks for providers, residents, or other key stakeholders. Abstracts with overly technical academic language or failing to include the above elements will be returned for revisions.

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* Optional: Specific Aims Upload. If you have a corresponding specific aims page for this project, we encourage you to upload it here separately. Please note that this specific aims page will be used for reference only, and that your data use agreement will reflect the aims included in the final version of your plain language abstract.

PDF, DOC, DOCX file types only.

Choose File