Publications by authors named "Bridget Hahm"

Introduction/objectives: Americans, including veterans, living in rural areas experience higher rates of food insecurity than the general population in the United States, but rural veteran food insecurity remains an understudied subject. Due to a lack of data on the subject, this project aimed to use geographic information systems (GIS) mapping of proxy variables for rural veteran food insecurity in order to identify areas of high vulnerability where future research could be targeted.

Methods: Key factors which may indicate vulnerability to rural veteran food insecurity were identified in a review of the literature.

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Background: The Department of Veterans Affairs (VA) employs numerous strategies to address food insecurity among rural veterans. This manuscript discusses findings from a quality improvement project examining factors impacting food insecurity among rural veterans.

Methods: Qualitative interviews were conducted with VA expert informants (n = 30) who worked in national program offices addressing veteran food insecurity, site visit participants (n = 57) at three VA Medical Centers (VAMCs), and rural veterans who screened positive for food insecurity at the VAMC sites (n = 10).

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Background: The responsibility of care for Veterans and Service Members (V/SMs) with traumatic brain injury (TBI) often defaults to informal family caregivers. Caregiving demands considerable knowledge, skill, and support to facilitate the health and well-being of V/SMs and themselves. Persistent and common TBI caregiver issues include strain, depression, and anxiety.

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Food security among rural veteran populations is an understudied subject. This study uses qualitative data from 106 semi-structured interviews conducted with staff from programs at the United States Department of Veterans Affairs (VA) and other federal agencies, staff from non-governmental organizations (NGOs), food security researchers, and food insecure veterans to identify the barriers to and facilitators for rural veteran food security. Barriers identified included external, structural barriers that exist in rural areas; internal barriers to using food assistance, such as feeling stigmatized; and barriers related to other social determinants of health, including a lack of education, employment, or housing stability.

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Study Design: A 5-year longitudinal, retrospective, cohort study.

Objectives: Develop a prediction model based on electronic health record (EHR) data to identify veterans with spinal cord injury/diseases (SCI/D) at highest risk for new pressure injuries (PIs).

Setting: Structured (coded) and text EHR data, for veterans with SCI/D treated in a VHA SCI/D Center between October 1, 2008, and September 30, 2013.

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Complementary and integrative health (CIH) approaches have been recommended in national and international clinical guidelines for chronic pain management. We set out to determine whether exposure to CIH approaches is associated with pain care quality (PCQ) in the Veterans Health Administration (VHA) primary care setting. We followed a cohort of 62,721 Veterans with newly diagnosed musculoskeletal disorders between October 2016 and September 2017 over 1-year.

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Background: Veteran community reintegration (CR) has been defined as participation in community life, including employment or other productive activities, independent living, and social relationships. Veteran CR is a Veterans Health Administration priority, as a substantial proportion of veterans report difficulties with veteran CR following discharge from military service.

Objective: Enhancing Veteran Community Reintegration Research (ENCORE) is a project funded by Veterans Health Administration's Health Service Research and Development Service.

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Prior research has demonstrated disparities in general medical care for patients with mental health conditions, but little is known about disparities in pain care. The objective of this retrospective cohort study was to determine whether mental health conditions are associated with indicators of pain care quality (PCQ) as documented by primary care clinicians in the Veterans Health Administration (VHA). We used natural language processing to analyze electronic health record data from a national sample of Veterans with moderate to severe musculoskeletal pain during primary care visits in the Fiscal Year 2017.

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The lack of a reliable approach to assess quality of pain care hinders quality improvement initiatives. Rule-based natural language processing algorithms were used to extract pain care quality (PCQ) indicators from documents of Veterans Health Administration primary care providers for veterans diagnosed within the past year with musculoskeletal disorders with moderate-to-severe pain intensity across 2 time periods 2013 to 2014 (fiscal year [FY] 2013) and 2017 to 2018 (FY 2017). Patterns of documentation of PCQ indicators for 64,444 veterans and 124,408 unique visits (FY 2013) and 63,427 veterans and 146,507 visits (FY 2017) are described.

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Background: Patient falls are the most common adverse events reported in hospitals. Although it is well understood that the physical hospital environment contributes to nearly 40% of severe or fatal hospital falls, there are significant gaps in the knowledge about the relationship between inpatient unit design and fall rates. The few studies that have examined unit design have been conducted in a single hospital (non-Veterans Health Administration [VHA]) or a small number of inpatient units, limiting generalizability.

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Background: Numerous studies of community reintegration (CR) in traumatic brain injury (TBI) have been conducted in civilian populations, but research is limited in veteran and military service member populations. Little is known about how knowledge from civilian studies translates into veterans' experiences and needs. The US Department of Veterans Health Administration (VHA) recognizes the distinctive health care needs of post-9/11 veteran and military service members, particularly with TBI, including the need to bridge health and rehabilitation-related services from acute care and inpatient settings to veteran and military service members' homes and communities to facilitate CR.

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The goal of this study was to apply sociotechnical probabilistic risk assessment to prioritize risks and prevention strategies for serious injurious falls of residents in nursing homes. Risk modeling teams consisted of 26 clinical and nonclinical staff from three Department of Veterans Affairs community living centers and one state Veteran's nursing home. Participants met in groups several times to identify and assign probabilities to provider and resident at-risk behaviors and equipment failures.

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The capacity of electronic health records (EHRs) to capture desired information depends on the practices of health care providers. These practices have not been well studied in relation to post-traumatic stress disorder (PTSD). This qualitative study investigated how providers write EHR notes on PTSD through 38 interviews with providers working at five Veterans Affairs (VA) hospitals across the United States of America.

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Objectives: We determined whether statistical text mining (STM) can identify fall-related injuries in electronic health record (EHR) documents and the impact on STM models of training on documents from a single or multiple facilities.

Methods: We obtained fiscal year 2007 records for Veterans Health Administration (VHA) ambulatory care clinics in the southeastern United States and Puerto Rico, resulting in a total of 26 010 documents for 1652 veterans treated for fall-related injury and 1341 matched controls. We used the results of an STM model to predict fall-related injuries at the visit and patient levels and compared them with a reference standard based on chart review.

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Objective: The objective of the study was to identify which components of a system-wide safe patient handling (SPH) program reduced musculoskeletal injury (MSI) due to patient handling among nurses.

Methods: The 3-year longitudinal study from 2008 to 2011 used a pretest-posttest design. The study was conducted in the Veterans Health Administration, and all medical centers participated.

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Background: Health care workers, such as nurses, nursing aides, orderlies, and attendants, who manually move patients, are consistently listed in the top professions for musculoskeletal injuries (MSIs) by the Bureau of Labor Statistics. These MSIs are typically caused by high-risk patient caregiving activities. In 2008, a safe patient handling (SPH) program was implemented in all 153 Veterans Administration Medical Centers (VAMCs) throughout the United States to reduce patient handling injuries.

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Background: Pneumonia is a leading cause of death in persons with spinal cord injuries and disorders (SCI/D), but little is known about guideline-based management for this disease in persons with SCI/D.

Objectives: The goal of this study was to describe guideline-based medical care for community-acquired pneumonia (CAP) in veterans with SCI/D.

Methods: A retrospective medical record review was conducted at 7 Department of Veterans Affairs (VA) medical centers where veterans with SCI/D and CAP between 2005 and 2008 were included.

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Objectives: Few empirical studies have examined the disaster preparedness and response practices of individuals with spinal cord injuries and/or disorders (SCI/D) and the healthcare providers who serve them. This study was conducted to understand the experiences of Veterans Health Administration (VHA) providers and Veterans with SCI/D in recent natural disasters, and to identify lessons learned for disaster preparedness and response in the context of SCI/D.

Design: Semi-structured interviews were conducted with providers and Veterans recruited through seven VHA facilities that had sustained a disaster since 2003.

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A large veteran's hospital participated in a year-long collaborative project across 9 hospitals to reduce serious injury from falls in acute care, targeting medical-surgical units. The primary objective of this project was to develop and test a set of interventions (bundles) to prevent serious physical injury (fractures and hemorrhagic bleeds) from patient falls. The interventions were implemented using tests of change on 2 medical-surgical units focused on engaging unit-based staff and combining innovations for vulnerable populations at greatest risk for injury if they fall.

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