Archive for the ‘Care Management’ Category

HINfographic: Care Coordination Trends: Oversight of Complex Comorbid Spans Continuum

May 17th, 2017 by Melanie Matthews

Care coordinators organize patient care activities and share information among vested participants to achieve safer and more effective care, per the Agency for Healthcare Research and Quality (AHRQ). And for 86 percent of respondents to the 2016 Care Coordination survey by the Healthcare Intelligence Network, care coordination takes place across all care settings, including the patient's home.

A new infographic by HIN examines patient care coordination touchpoints, patients by diagnoses prioritized for care coordination and care coordination touchpoint frequency and reimbursement models.

2016 Healthcare Benchmarks: Care CoordinationCare coordination involves deliberately organizing patient care activities and sharing information among all participants concerned with a patient's care to achieve safer and more effective care, as defined by the Agency for Healthcare Research and Quality (AHRQ).

2016 Healthcare Benchmarks: Care Coordination examines care coordination settings, strategies, targeted populations, supporting technologies, results and ROI, based on responses from 114 healthcare organizations to the September 2016 Care Coordination survey by the Healthcare Intelligence Network.

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Top 2017 Chronic Care Management Modes and 13 More CCM Trends

May 2nd, 2017 by Patricia Donovan

Availability of chronic care management rose 14 percent from 2015 to 2017, according to new metrics from the Healthcare Intelligence Network.

The majority of chronic care management (CCM) outreach is conducted telephonically, say 88 percent of respondents to a 2017 Chronic Care Management survey by the Healthcare Intelligence Network (HIN), followed by face-to-face visits (65 percent) and home visits (44 percent).

This preference for telephonic CCM has remained unchanged since 2015, when HIN first canvassed healthcare executives on chronic care management practices. More than one hundred healthcare companies completed the 2017 CCM survey.

In addition, the April 2017 CCM survey captured a 14 percent increase in chronic care management programs over the two-year-span: from 55 percent in 2015 to 69 percent in 2017. Three-fourths of 2017 responding CCM programs target either Medicare beneficiaries or individuals with chronic comorbid conditions, with management of care transitions the top CCM component for 86 percent of programs.

In terms of reimbursement, payment levels for CCM services remained steady at 35 percent from 2015 to 2017. However, HIN's second comprehensive CCM survey determined that 32 percent of respondents currently bill Medicare using CMS Chronic Care Management codes introduced in 2015.

Forty percent of these Medicare CCM participants believe CMS’s 2017 program changes will reduce administrative burden associated with CCM, the survey documented.

Other metrics from HIN's 2017 CCM survey include the following:

  • A diagnosis of diabetes remains the leading criterion for CCM admission, said 92 percent;
  • Use of healthcare claims as the top tool for identifying or risk-stratifying individuals for CCM continues at 2015’s 70-percent levels;
  • Seventy percent of respondents target individuals with behavioral health diagnoses for CCM interventions;
  • Patient engagement remains the top challenge of chronic care management, with just under one-third of 2017 respondents reporting this obstacle
  • Responsibilities of RN care managers for CCM rose over two years, with 43 percent of 2017 respondents assigning primary CCM responsibility to these professionals (up from 29 percent in 2015); and
  • Two-thirds of respondents observed a drop in hospitalizations that they attribute to chronic care management.

Download an executive summary of 2017 Chronic Care Management survey results.

HINfographic: Social Determinants of Health: Screenings Abound, But Support Services Scarce

April 26th, 2017 by Melanie Matthews

Social determinants of health like food insecurity, unsafe neighborhoods and even loneliness can impact quality of life and population health. Although more than two-thirds of healthcare organizations now screen populations for social determinants of health (SDOH) as part of ongoing care management, one-third are challenged by a lack of supportive services, according to the December 2016 SDOH survey by the Healthcare Intelligence Network.

A new infographic by HIN examines priority populations for SDOH screening, the greatest SDOH need and SDOH integration and tools.

2017 Healthcare Benchmarks: Social Determinants of HealthInitiatives such as CMS' Accountable Health Communities Model and other population health platforms encourage healthcare organizations to tackle the broad range of social, economic and environmental factors that shape an individual's health. To underscore the need to address social determinants of health, Healthy People 2020 included "Create social and physical environments that promote good health for all" among its four overarching goals for the decade.

In one measure of their impact, 2015 research by Brigham Young University found that the social determinants of loneliness and social isolation are just as much a threat to longevity as obesity.

2017 Healthcare Benchmarks: Social Determinants of Health documents the efforts of more than 140 healthcare organizations to assess social, economic and environmental factors in patients and to begin to redesign care management to account for these factors.

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Touting ‘Magic’ of Home Visits, Sun Health Dispels 5 Care Transition Management Myths

April 4th, 2017 by Patricia Donovan


With an average of 299 warm, sunny days a year, Phoenix is a mecca for senior transplants. However, as Phoenix-based Sun Health knows well, when an aging population relocates far from their adult children, there's a danger that if some of them experience cognitive decline or other health issues, no one will notice.

That's one reason home visits are the cornerstone of Sun Health's Care Transitions Management program. Visiting recently discharged patients at home not only tracks the individual's progress with the hospitalization-related condition, but also pinpoints any social determinants of health (SDOH) that inhibit optimum health.

"There are a number of social determinants of health that, if not addressed, could adversely impact the medical issue," explains Jennifer Drago, FACHE, executive vice president of population health for the Arizona non-profit organization. Ms. Drago outlined the program during A Leading Care Transitions Model: Addressing Social Health Determinants Through Targeted Home Visits, a March 2017 webinar now available for replay.

Identifying social determinants of health (SDOH) such as medication affordability, transportation, health literacy and social isolation are so important to Sun Health that SDOHs form the critical fifth pillar of its Care Transitions Program. Modeled on the Coleman Care Transitions Intervention®, SDOH identification and support balance Coleman's four pillars of education, medication reconciliation, physician follow-up visits, and personalized plan of care.

The belief that organizations can effectively execute transitions of care programs pre-discharge or by phone only is one of five care transition myths Ms. Drago dispelled during the webinar. "You will have an impact [with phone calls], but it won't be as great as a program incorporating dedicated staff and that home visit. I can't tell you the magic that happens in a home visit."

That "magic" contributed to Sun Health's stellar performance in CMS's recently concluded Community-Based Care Transitions Program demonstration. Sun Health was the national demo's top performer, achieving a 56 percent reduction in Medicare 30-day readmissions—from 17.8 percent to 7.81 percent—as compared to the 14.5 percent readmission rate of other demonstration participants.

Sun Health's multi-stepped intervention begins with a visit to the patient's hospital bedside. "Patients are a captive audience while in the hospital," explained Ms. Drago. That scripted bedside encounter, which boosted patients' receptivity to the program, addresses not only the reason for the hospitalization (hip replacement, for example) but also co-occuring chronic conditions, she continued.

"The thing that will have the greatest chance of going out of whack or out of sync in their recovery period is their chronic disease, because they're probably not eating the same, they're more sedentary, and their medications likely have been disrupted."

Ms. Drago went on to present some of the intervention's tools, including care plans, daily patient check-ins, and the science behind her organization's care transitions scripts.

After sharing six key lessons learned from care transitions management, Ms. Drago noted that while her organization participated as a mission-based endeavor, others could model Sun Health's intervention and benefit from those readmissions savings. She also shared a video on the Sun Health Care Transitions Program:

Listen to an interview with Jennifer Drago on the science behind care transition management.

How a Data Dive Makes a Difference in ACO Care Coordination Efficiency

March 30th, 2017 by Patricia Donovan

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UTSACN used data analytics to trim its home health network from more than 1,200 agencies to 20 highly efficient home health providers.

How does UT Southwestern Accountable Care Network (UTSACN) use information to inform and advance care coordination programming? As UT Southwestern's Director of Care Coordination Cathy Bryan explains, a closer look at doctors' attitudes toward a Medicare home health form initiated a retooling of the ACO's home health approach.

We realized our home health spend was two times the national average. When we reviewed just the prior 12 months, we identified more than 1,200 unique agencies that serviced at least one of our patients. With this huge number of disparate home health agencies, it was difficult to get a handle on the problem.

Our primary care doctors told us they found the CMS 485 Home Health Certification and Plan of Care form to be too long. The font on the form is four-point type; it's complex, so they don't understand it. However, because they don't want a family member or patient to call them because they took away their home care, they often sign the form without worrying about it.

As we began looking at these findings, we wondered what they really told us. Are some agencies better than others, and how do we begin to create a narrow network or preferred network for home care? We knew we couldn't work with 1,200 agencies efficiently; even 20 agencies is a lot to work with.

We began to analyze the claims. My skilled analyst created an internal efficiency score. She risk-adjusted various pieces of data, like average length of stay. For home health, there were a number of consecutive recertifications. We looked at average spend per recertification, and the number of patients they had on each agency. We risk-adjusted this data, because some agencies may actually get sicker patients because they have higher skill sets within their nursing staff.

We created a risk-adjusted efficiency score based on claims. We narrowed down the list by only looking at agencies with 80 percent or higher efficiency. That left us with about 80 agencies; we then narrowed our search to 90 percent efficiency and above, and still had 44. That was still too many, so we cross-walked these with CMS Star ratings to narrow it even more. Finally, after looking at our geographic distribution for agencies that serviced at least 20 patients, we eliminated those with one and two patients. We sought agencies that had some population moving through them.

Ultimately, we reduced our final home health network to about 20 agencies that were not creating a lot of additional spend, and not holding patients on service for an incredibly long period of time.

Source: Advanced Care Coordination: Bridging the Gap Between Appropriate Levels of Care and Care Plan Adherence for ACO Attributed Lives

advanced care coordination

During Advanced Care Coordination: Bridging the Gap Between Appropriate Levels of Care and Care Plan Adherence for ACO Attributed Lives, a 2016 webinar available for replay, Cathy Bryan, director, care coordination at UT Southwestern, shares how her organization’s care coordination model manages utilization while achieving its mission of bridging the gap from where patients are to where they need to be to adhere to their care plan.

Infographic: Chronic Migraine Patients

March 1st, 2017 by Melanie Matthews

Chronic migraine patients have impaired socioeconomic status, reduced quality of life and reduced workplace productivity, according to a new study released by the Headache & Migraine Policy Forum. Moreover, chronic migraine patients commonly have other comorbid conditions that complicate their medical treatment.

The Headache & Migraine Policy Forum has released a new infographic based on the study's findings. The infographic examines the prevalence of chronic migraine patients, healthcare spending on migraine patients and the leading comorbidities associated with migraine patients.

EHR and Clinical Documentation Effectiveness

Centralized Care Management to Reduce Readmissions and Avoidable ED Visits in High-Risk PopulationsWhen AMITA Health set out to devise a more efficient method of moving its highest-risk Medicare beneficiaries across its care continuum, the newly minted Medicare Shared Savings Program (MSSP) accountable care organization (ACO) abandoned its siloed approach in favor of an enterprise-wide human-centric model of care.

Centralized Care Management to Reduce Readmissions and Avoidable ED Visits in High-Risk Populations describes how the nine-hospital system inventoried, reexamined and revamped its care management resources, ultimately implementing a centralized care management model that would support the Institute for Healthcare Improvement's Triple Aim goals.

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Infographic: Evidence-based Guidelines for Managing Low-Back Pain

February 15th, 2017 by Melanie Matthews

Evidence-based Guidelines for Managing Low-Back Pain

The complexity and intensity of treatment for lower back pain may vary depending on how likely it is that the patient will have a good, functional outcome, according to a new infographic by BMJ Publishing Group.

The infographic provide care pathways for patients by expected outcome.

When success in a fee-for-value reimbursement framework calls for a care coordination vision focused on the highest-risk, highest-cost patients, an organization must be able to identify this critical population.

2016 Healthcare Benchmarks: Stratifying High-Risk Patients captures the latest tools and practices employed by healthcare organizations across the care continuum as they risk-stratify patients and health plan members in preparation for care management.

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3 Priority Populations for Home Visits and 10 More House Calls Benchmarks

February 14th, 2017 by Patricia Donovan

More than half of home visits include screening for social determinants of health.

More than half of home visits include screening for social determinants of health.

Which patients should healthcare providers visit at home? A new survey on home visits identified three key populations that should receive home-based care management: the frail elderly and homebound (69 percent); the medically complex (69 percent); and individuals recently discharged from the hospital (68 percent).

In stratifying patients for these home visits, 62 percent rely on care manager referrals.

These were just two findings from the 2017 Home Visits survey conducted by the Healthcare Intelligence Network. Nearly three quarters of the survey's 107 respondents visit targeted patients at home, an intervention that can illuminate health-related, socioeconomic or safety determinants that might go undetected during an office visit.

Who's conducting these home visits? In more than half of responding programs, a registered nurse handles the visit, although on rare occasions, patients may open their door to a primary care physician (4 percent), pharmacist (4 percent) or community paramedic (3 percent).

Once inside the home, the visit is first and foremost about patient and caregiver education, say 81 percent of respondents, with an emphasis on medication reconciliation (80 percent). Fifty-nine percent also screen at-home patients for social and economic determinants of health, factors that can have a huge impact on an individual's health status.

Patient engagement, including obtaining consent for home visits, tied with funding and reimbursement issues tied as the top challenges associated with in-home patient visits.

How to know if home visits are working? The most telling success indicator is a reduction in 30-day hospital readmission rates, say 83 percent of survey respondents, followed by a drop in hospital and ER utilization (64 percent). Seventy percent of survey respondents reported either a drop in readmissions or in ER visits.

Here are a few more metrics derived from HIN's 2017 Home Visits survey:

  • Eighty-five percent of respondents believe that the use of in-home technology enhances home visit outcomes.
  • Fifteen percent report home visits ROI of between 2:1 and 3:1.
  • Eighty percent have seen clients’ self-management skills improve as a result of home visits.

Download an executive summary of results from HIN's 2017 Home Visits Survey.

AMITA Health Places Patient at Center of Care Management Redesign

February 2nd, 2017 by Patricia Donovan
AMITA Health care management redesign

AMITA Health's care management redesign began in one patient unit on one floor.

In rolling out a new connected care management strategy across its nine-hospital system, AMITA Health aimed to keep its target patient population at the heart of the initiative—unit by unit, floor by floor. Here, Susan Wickey, vice president, quality and care management at AMITA Health, shares one of the guiding principles of the Medicare Shared Savings Program Accountable Care Organization (MSSP ACO).

The key component for us in our redesign was making sure that the patient was at the center of everything we did. With that in mind, we developed structured processes and programs that would span the care continuum while retaining the patient at the center. We wanted to establish relationship-based care with the patient and the primary care physician. We wanted to be able to use available data to help drive our decisions. We wanted to ensure that our patients had regular access to care, and that we leveraged what we currently had in place.

Our congestive heart failure clinic was key in this process. Navigating through the care continuum is not an easy process for many of our patients. We wanted to make sure we could help them through that, and construct some processes for them to be able to navigate. We wanted to make sure we were continuing to build the health literacy of our patients and our families. We wanted to establish interventions for the most vulnerable population of patients. We wanted to make sure we had a dedicated, multidisciplinary team to help us. We had psychiatrists, dieticians, pharmacists, primary care physicians and physician champions along the way to help us.

We began implementation very slowly, starting with a specific cohort of patients on one specific unit. This cohort was small; the number of people touching the cohort at the time was small. As we went along, we were able to define problem areas where we needed to intervene, quickly readjust and then go down the right path.

Slowly, over a period of time, we were able to add additional floors in our acute care hospitals, which then meant adding additional staff. Those additional staff then became the super users who helped us roll out the program on the next floor.

Source: Centralized Care Management to Reduce Readmissions and Avoidable ED Visits in High-Risk Populations

Centralized Care Management to Reduce Readmissions and Avoidable ED Visits in High-Risk Populations

Centralized Care Management to Reduce Readmissions and Avoidable ED Visits in High-Risk Populations describes how the nine-hospital system inventoried, reexamined and revamped its care management resources, ultimately implementing a centralized care management model.

Social Determinants of Health: Does Technology Connect or Isolate?

January 12th, 2017 by Patricia Donovan
social isolation

Only half of Americans with two or more chronic conditions actually go online.

Social determinants are areas of health that involve an individual’s social and environmental condition as well as experiences that directly impact health and health status. Here, Dr. Randall Williams, chief executive officer, Pharos Innovations, examines why, contrary to popular thought, technology advances may actually increase the gap between social connectedness and social isolation for certain populations.

In the age of the Internet, technology itself may become a barrier to being connected with others through social interactions. The Pew Research Center has done some nice work on health and the Internet. It turns out that three quarters of adults in the United States go online. That's probably not all that surprising, but what's more nuanced in this data is that the Internet access of individuals in the United States actually differs, depending on whether or not those individuals suffer from chronic health conditions.

It turns out that of Americans who have two or more chronic conditions, which by the way represents the vast majority of the Medicare population, only half go online. As it turns out, the very same groups that suffer most from social determinants of health, and not just from social isolation, also have the highest rates of chronic disease. And according to this research, they are the ones most likely to NOT have access to the Internet. This is called the Internet Divide.

We might be encouraged by the prevalence and penetration of mobile technologies, and maybe those would be the great bridge over the Internet Divide. Unfortunately, that may not be the case yet. According to this same Pew research, 90 percent of Americans who don't have a chronic condition actually own a cellphone. However, if you do have two or more chronic conditions, that number drops down pretty dramatically to 70 percent. That finding is a bit better than Internet access, but certainly not ubiquitous. If you look at those who have a cellphone, only 23 percent of them actually access text-messaging technologies on their cellphones, and smartphone apps fall well below that.

Source: Social Determinants and Population Health: Redesigning Care Management to Bridge Clinical and Non-Medical Services

social determinants of health

In Social Determinants and Population Health: Redesigning Care Management to Bridge Clinical and Non-Medical Services, care teams will learn that by asking patients the right questions and listening carefully to their responses, they can begin to identify and address social determinants, dramatically impacting patient outcomes as well as their own financial success under value-based care.