Hospices' Preparation and Practices for Quality Measurement

Hanson, Laura C.; Schenck, Anna P.; Rokoske, Franziska; Abernethy, Amy P.; Kutner, Jean S.; Spence, Carol; Person, Judi Lund

doi:10.1016/j.jpainsymman.2009.09.003

Cited by 19 publications

(18 citation statements)

References 8 publications

(2 reference statements)

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“…Examples include timely referrals to palliative care, reduced emergency department admissions, decreased length of stay in hospital, and an increase in the proportion of deaths at home or in a non-acute care facility. [35][36][37][38] Given this background of less than optimal support for family caregivers and limited interventions to assist this population, we aimed to develop guidelines for the psychosocial and bereavement support of family caregivers of palliative care patients. The primary target audience for the guidelines were multidisciplinary health care professionals commonly involved in caring for adult patients receiving specialist palliative care (home, hospital, hospice) throughout Australia.…”

Section: Introductionmentioning

confidence: 99%

Guidelines for the Psychosocial and Bereavement Support of Family Caregivers of Palliative Care Patients

Hudson

Remedios

Zordan

et al. 2012

Journal of Palliative Medicine

162

182

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Section: Introductionmentioning

confidence: 99%

Guidelines for the Psychosocial and Bereavement Support of Family Caregivers of Palliative Care Patients

Hudson

Remedios

Zordan

et al. 2012

Journal of Palliative Medicine

162

182

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“…Hospices vary in their capacity to collect and use quality data. Hanson and colleagues 15 found hospices that were smaller, in rural settings, and those with for-profit tax status were less prepared to implement quality improvement. Identifying a few usable and feasible quality measures could be a step towards increasing the ability of hospice providers to use quality measure to improve care.…”

Section: Resultsmentioning

confidence: 99%

Quality Measures for Hospice and Palliative Care: Piloting the PEACE Measures

Schenck

Rokoske

Durham

et al. 2014

Journal of Palliative Medicine

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Background: The Carolinas Center for Medical Excellence launched the PEACE project in 2006, under contract with the Centers for Medicare & Medicaid Services (CMS), to identify, develop, and pilot test quality measures for hospice and palliative care programs. Objectives: The project collected pilot data to test the usability and feasibility of potential quality measures and data collection processes for hospice and palliative care programs. Settings/subjects: Twenty-two hospices participating in a national Quality Improvement Collaborative (QIC) submitted data from 367 chart reviews for pain care and 45 chart reviews for nausea care. Fourteen additional hospices completed a one-time data submission of 126 chart reviews on 60 potential patient-level quality measures across eight domains of care and an organizational assessment evaluating structure and processes of care. Design: Usability was assessed by examining the range, variability and size of the populations targeted by each quality measure. Feasibility was assessed during the second pilot study by surveying data abstractors about the abstraction process and examining the rates of missing data. The impact of data collection processes was assessed by comparing results obtained using different processes. Results: Measures shown to be both usable and feasible included: screening for physical symptoms on admission and documentation of treatment preferences. Methods of data collection and measure construction appear to influence observed rates of quality of care. Conclusions:We successfully identified quality measures with potential for use in hospices and palliative care programs. Future research is needed to understand whether these measures are sensitive to quality improvement interventions.

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“…Most palliative care organizations have limited, if any, experience in collection and management of robust data [5]. In these data-naïve settings, a first and critical step is to determine which data to collect.…”

Section: Taking the First Step In A Data-naïve Environmentmentioning

confidence: 99%

The Value of Data Collection within a Palliative Care Program

et al. 2011

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Collecting reliable and valid data is an increasing expectation within palliative care. Data remain the crux for demonstrating value and quality of care, which are the critical steps to program sustainability. Parallel goals of conducting research and performing quality assessment and improvement can also ensure program growth, financial health, and viability in an increasingly competitive environment. Mounting expectations by patients, hospitals, and payers and inevitable pay-for-performance paradigms have transitioned data collection procedures from novel projects to expected standard operation within usual palliative care delivery. We present types of data to collect, published guides for data collection, and how data can inform quality, value, and research within a palliative care organization. Our experiences with the Quality Data Collection Tool (QDACT) in the Carolinas Palliative Care Consortium to collect data on quality have led to valuable lessons learned in creating a data collection system. Suggested steps in forming data-sharing collaborations and building data collection procedures are shared.

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Hospices' Preparation and Practices for Quality Measurement

Cited by 19 publications

References 8 publications

Guidelines for the Psychosocial and Bereavement Support of Family Caregivers of Palliative Care Patients

Guidelines for the Psychosocial and Bereavement Support of Family Caregivers of Palliative Care Patients

Quality Measures for Hospice and Palliative Care: Piloting the PEACE Measures

The Value of Data Collection within a Palliative Care Program

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