Geographic Access to Health Care for Rural Medicare Beneficiaries

Chan, Leighton; Hart, L. Gary; Goodman, David C.

doi:10.1111/j.1748-0361.2006.00022.x

Cited by 398 publications

(370 citation statements)

References 26 publications

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“…Whether radiation therapy to the bones was administered is available, but we do not have an indication of whether an individual had bone pain. Access to care is difficult to measure directly with administrative databases, but previous literature, 41,42 has indicated that rural residents may not have as many services available to them as urban residents. As such, we can calculate the proportion of our study subjects who are rural verses urban.…”

Section: Resultsmentioning

confidence: 99%

Towards using administrative databases to measure population-based indicators of quality of end-of-life care: testing the methodology

et al. 2006

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This study is concerned with methods to measure population-based indicators of quality end-oflife care. Using a retrospective cohort approach, we assessed the feasibility, validity and reliability of using administrative databases to measure quality indicators of end-of-life care in two Canadian provinces. The study sample consisted of all females who died of breast cancer between 1 January 1998 and 31 December 2002, in Nova Scotia or Ontario, Canada. From an initial list of 19 quality indicators selected from the literature, seven were determined to be fully measurable in both provinces. An additional seven indicators in one province and three in the other province were partially measurable. Tests comparing administrative and chart data show a high level of

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Section: Resultsmentioning

confidence: 99%

Towards using administrative databases to measure population-based indicators of quality of end-of-life care: testing the methodology

et al. 2006

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“…The USDA reports that rural residents are more likely than urban residents to delay seeking or not seek medical care. 29 Chan et al 30 examined access to medical services based on a 30-minute travel standard. For rural residents, > 25% of the residents had travel times that exceeded the standard, and for emergency care, the travel time exceeded 75 minutes for one quarter of rural residents.…”

Section: Rural Ipv Disparitymentioning

confidence: 99%

Rural Disparity in Domestic Violence Prevalence and Access to Resources

Peek‐Asa

Wallis²,

Harland³

et al. 2011

Journal of Women's Health

214

231

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Objective: Intimate partner violence (IPV) against women is a significant health issue in the United States and worldwide. The majority of studies on IPV have been conducted in urban populations. The objectives of this study are to determine if prevalence, frequency, and severity of IPV differ by rurality and to identify variance in geographic access to IPV resources. Methods: A cross-sectional clinic-based survey of 1478 women was conducted to measure the 1-year prevalence of physical, sexual, and psychologic IPV. IPV intervention programs in the state were inventoried and mapped, and the distance to the closest program was estimated for each participant based on an innovative algorithm developed for use when only ZIP code location is available. Results: Women in small rural and isolated areas reported the highest prevalence of IPV (22.5% and 17.9%, respectively) compared to 15.5% for urban women. Rural women reported significantly higher severity of physical abuse than their urban counterparts. The mean distance to the nearest IPV resource was three times greater for rural women than for urban women, and rural IPV programs served more counties and had fewer on-site shelter services. Over 25% of women in small rural and isolated areas lived > 40 miles from the closest program, compared with < 1% of women living in urban areas. Conclusions: Rural women experience higher rates of IPV and greater frequency and severity of physical abuse yet live much farther away from available resources. More IPV resources and interventions targeting rural women are needed.

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“…Travel time from the candidate's residence to their transplant center at initial listing (and at transplantation if transplanted) was determined using distance from zip code to zip code according to an algorithm developed by Dr. David Goodman (15,16). Patients were categorized by quartile of travel time at initial listing, and at transplantation, respectively.…”

Section: Exposure Measures: Ses Distance To Center and Inter-dsa Trmentioning

confidence: 99%

The Interplay of Socioeconomic Status, Distance to Center, and Interdonor Service Area Travel on Kidney Transplant Access and Outcomes

Axelrod¹,

Dzebisashvili²,

Schnitzler³

et al. 2010

Clinical Journal of the American Society of Nephrology

198

186

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Geographic Access to Health Care for Rural Medicare Beneficiaries

Cited by 398 publications

References 26 publications

Towards using administrative databases to measure population-based indicators of quality of end-of-life care: testing the methodology

Towards using administrative databases to measure population-based indicators of quality of end-of-life care: testing the methodology

Rural Disparity in Domestic Violence Prevalence and Access to Resources

The Interplay of Socioeconomic Status, Distance to Center, and Interdonor Service Area Travel on Kidney Transplant Access and Outcomes

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