Large-scale implementation of the I-PASS handover system

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Title: Large-scale implementation of the I-PASS handover system at an academic medical center

Clinical Question: Is a system-wide I-PASS handover system able to be effectively implemented?

Background: Handovers (also referred to as “handoffs”) in patient care are ubiquitous and are increasing, especially in academic medicine. Errors in handovers are associated with poor patient outcomes. I-PASS (Illness Severity, Patient Summary, Action List, Situational Awareness, Synthesis by Receiver) is a handover system that is thought to improve efficiency and accuracy of handovers, however generalized roll-out within a large academic hospital remains daunting.

Study Design: Review of a single institution-wide operational change project.

Setting: Academic medical center.

Synopsis: The authors recount a 3-year system-wide I-PASS implementation at their 999-bed major academic medical center. Effectiveness was measured through surveys and direct observations. Postimplementation surveys demonstrated a generally positive response to the implementation and training processes. Direct observation over 8 months was used to assess adoption and adherence to the handover method, and results showed improvement across all aspects of the I-PASS model, although the synthesis component of the handover consistently scored lowest. The authors noted that this is an ongoing project and plan future studies to evaluate effect on quality and safety measures.

Bottom Line: Implementing a system-wide handover change process is achievable, but will need to be incorporated into organizational culture to ensure continued use.

Citation: Shahian DM, McEachern K, Rossi L, et al. Large-scale implementation of the I-PASS handover system at an academic medical center. BMJ Qual Saf. 2017; doi: 10.1136/bmjqs-2016006195.

Dr. Rankin is a hospitalist and director of the family medicine residency inpatient service at the University of New Mexico.

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Title: Large-scale implementation of the I-PASS handover system at an academic medical center

Clinical Question: Is a system-wide I-PASS handover system able to be effectively implemented?

Background: Handovers (also referred to as “handoffs”) in patient care are ubiquitous and are increasing, especially in academic medicine. Errors in handovers are associated with poor patient outcomes. I-PASS (Illness Severity, Patient Summary, Action List, Situational Awareness, Synthesis by Receiver) is a handover system that is thought to improve efficiency and accuracy of handovers, however generalized roll-out within a large academic hospital remains daunting.

Study Design: Review of a single institution-wide operational change project.

Setting: Academic medical center.

Synopsis: The authors recount a 3-year system-wide I-PASS implementation at their 999-bed major academic medical center. Effectiveness was measured through surveys and direct observations. Postimplementation surveys demonstrated a generally positive response to the implementation and training processes. Direct observation over 8 months was used to assess adoption and adherence to the handover method, and results showed improvement across all aspects of the I-PASS model, although the synthesis component of the handover consistently scored lowest. The authors noted that this is an ongoing project and plan future studies to evaluate effect on quality and safety measures.

Bottom Line: Implementing a system-wide handover change process is achievable, but will need to be incorporated into organizational culture to ensure continued use.

Citation: Shahian DM, McEachern K, Rossi L, et al. Large-scale implementation of the I-PASS handover system at an academic medical center. BMJ Qual Saf. 2017; doi: 10.1136/bmjqs-2016006195.

Dr. Rankin is a hospitalist and director of the family medicine residency inpatient service at the University of New Mexico.

 

Title: Large-scale implementation of the I-PASS handover system at an academic medical center

Clinical Question: Is a system-wide I-PASS handover system able to be effectively implemented?

Background: Handovers (also referred to as “handoffs”) in patient care are ubiquitous and are increasing, especially in academic medicine. Errors in handovers are associated with poor patient outcomes. I-PASS (Illness Severity, Patient Summary, Action List, Situational Awareness, Synthesis by Receiver) is a handover system that is thought to improve efficiency and accuracy of handovers, however generalized roll-out within a large academic hospital remains daunting.

Study Design: Review of a single institution-wide operational change project.

Setting: Academic medical center.

Synopsis: The authors recount a 3-year system-wide I-PASS implementation at their 999-bed major academic medical center. Effectiveness was measured through surveys and direct observations. Postimplementation surveys demonstrated a generally positive response to the implementation and training processes. Direct observation over 8 months was used to assess adoption and adherence to the handover method, and results showed improvement across all aspects of the I-PASS model, although the synthesis component of the handover consistently scored lowest. The authors noted that this is an ongoing project and plan future studies to evaluate effect on quality and safety measures.

Bottom Line: Implementing a system-wide handover change process is achievable, but will need to be incorporated into organizational culture to ensure continued use.

Citation: Shahian DM, McEachern K, Rossi L, et al. Large-scale implementation of the I-PASS handover system at an academic medical center. BMJ Qual Saf. 2017; doi: 10.1136/bmjqs-2016006195.

Dr. Rankin is a hospitalist and director of the family medicine residency inpatient service at the University of New Mexico.

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Variation in physician spending and association with patient outcomes

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Title: Variation in physician spending not associated with patient outcomes

Clinical Question: Is there a variation in spending between physicians in the same hospital, and does it have an effect on patient outcomes?

Background: Not much is known about the presence of variations in individual physician spending within the same hospital and it is not known if higher-spending physicians have better patient outcomes compared to peers within the same institution.

Dr. Alexander Rankin
Study Design: Retrospective data analysis.

Setting: National sample of hospitalized Medicare beneficiaries.

Synopsis: Using National Medicare data over a 4-year period, the authors showed that there is wide variation in Part B spending across physicians (hospitalists and general internists) within the same acute care hospital. This inter-physician variation is larger than the difference in spending across hospitals. Higher spending was not associated with a reduction in 30-day mortality or 30-day readmission rates.

Most current health reform policies such as value-based purchasing and 30-day readmission penalties target hospitals as entities, but based on this study there may be a role for more physician-specific reform options. Because they found no significant difference in quality outcomes based on spending, the authors postulate that there may be an opportunity for individual high-spending physicians to decrease their health care utilization without compromising care quality.

The major limitation to this study is that it is a large-scale data analysis and may not capture some of the intricacies of individualized patient care.

Bottom Line: Spending varies across physicians within the same hospital, and is not associated with differences in mortality or readmissions outcomes.

Citation: Tsugawa Y, Jha AK, Newhouse JP, Zaslavsky AM, Jena AB. Variation in Physician Spending and Association With Patient Outcomes. JAMA Intern Med. 2017. doi: 10.1001/jamainternmed.2017.0059.

Dr. Rankin is a hospitalist and director of the family medicine residency inpatient service at the University of New Mexico.

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Title: Variation in physician spending not associated with patient outcomes

Clinical Question: Is there a variation in spending between physicians in the same hospital, and does it have an effect on patient outcomes?

Background: Not much is known about the presence of variations in individual physician spending within the same hospital and it is not known if higher-spending physicians have better patient outcomes compared to peers within the same institution.

Dr. Alexander Rankin
Study Design: Retrospective data analysis.

Setting: National sample of hospitalized Medicare beneficiaries.

Synopsis: Using National Medicare data over a 4-year period, the authors showed that there is wide variation in Part B spending across physicians (hospitalists and general internists) within the same acute care hospital. This inter-physician variation is larger than the difference in spending across hospitals. Higher spending was not associated with a reduction in 30-day mortality or 30-day readmission rates.

Most current health reform policies such as value-based purchasing and 30-day readmission penalties target hospitals as entities, but based on this study there may be a role for more physician-specific reform options. Because they found no significant difference in quality outcomes based on spending, the authors postulate that there may be an opportunity for individual high-spending physicians to decrease their health care utilization without compromising care quality.

The major limitation to this study is that it is a large-scale data analysis and may not capture some of the intricacies of individualized patient care.

Bottom Line: Spending varies across physicians within the same hospital, and is not associated with differences in mortality or readmissions outcomes.

Citation: Tsugawa Y, Jha AK, Newhouse JP, Zaslavsky AM, Jena AB. Variation in Physician Spending and Association With Patient Outcomes. JAMA Intern Med. 2017. doi: 10.1001/jamainternmed.2017.0059.

Dr. Rankin is a hospitalist and director of the family medicine residency inpatient service at the University of New Mexico.

 

Title: Variation in physician spending not associated with patient outcomes

Clinical Question: Is there a variation in spending between physicians in the same hospital, and does it have an effect on patient outcomes?

Background: Not much is known about the presence of variations in individual physician spending within the same hospital and it is not known if higher-spending physicians have better patient outcomes compared to peers within the same institution.

Dr. Alexander Rankin
Study Design: Retrospective data analysis.

Setting: National sample of hospitalized Medicare beneficiaries.

Synopsis: Using National Medicare data over a 4-year period, the authors showed that there is wide variation in Part B spending across physicians (hospitalists and general internists) within the same acute care hospital. This inter-physician variation is larger than the difference in spending across hospitals. Higher spending was not associated with a reduction in 30-day mortality or 30-day readmission rates.

Most current health reform policies such as value-based purchasing and 30-day readmission penalties target hospitals as entities, but based on this study there may be a role for more physician-specific reform options. Because they found no significant difference in quality outcomes based on spending, the authors postulate that there may be an opportunity for individual high-spending physicians to decrease their health care utilization without compromising care quality.

The major limitation to this study is that it is a large-scale data analysis and may not capture some of the intricacies of individualized patient care.

Bottom Line: Spending varies across physicians within the same hospital, and is not associated with differences in mortality or readmissions outcomes.

Citation: Tsugawa Y, Jha AK, Newhouse JP, Zaslavsky AM, Jena AB. Variation in Physician Spending and Association With Patient Outcomes. JAMA Intern Med. 2017. doi: 10.1001/jamainternmed.2017.0059.

Dr. Rankin is a hospitalist and director of the family medicine residency inpatient service at the University of New Mexico.

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