Claims and Disease Management Flashcards
Care Mangement Programs and Interventions
- Pre-Authorization
- Concurrent Review
- Case Management: coordinates care of a patient with serious illness
- Demand Management: Passive information intervention
- Disease Management: focuses on chronic conditions with certain characteristcs that make them suitable for clinical intervention
- Specialty Case Management
- Care manager responsible for coordinating patient’s care
- Financial responsibility along with service responsibility
- Population Health Management: Emphasis on wellness, prevention
- Care coordination and other intervention model enhancements: chronic care model, medical home, embedded care manager, transition models, external care manager, palliative care, care coordination demonstrations
- PCMH and P4P
- ACOs
- Non-traditional providers and care settings: Pharmacists as healthcare providers
- Advantages: There are more pharmacists than PCPs, some pharmacies are open 24/7, patients interact with their pharmacist more often.
- Non-traditional providers and care settings: Clinics
- Retail (convenient care) clinics (CCCs)
- Employer worksite clinics
- Urgent care clinics
- FQHCs
- Gaps in care and quality improvement programs
- Telemedicine, telehealth, and automated monitoring
- Bundled payment initiatives
ACO Description
- Structure and organization of ACO’s
- ACO: a network of doctors and hospitals responsible for caring for patients
- To be allowed to share savings with CMS, must report on quality metrics and surpass savings hurdle rate
- A Medicare Shared Savings Program (MSSP) ACO will manage health care needs (not financially at risk for drug utilization) of 5,000+ Medicare beneficiaries for at least 3 years
- ACOs are not limited to Medicare
- ACO model overlooks some key learnings of DM programs
- Need data analytics, as close to real-time as possible
- Economics. For there to be a net savings, cost must be less than savings
- Plan the number of interactions, with which patients
Ways in which provider group-based ACOs are expected to generate savings
- Care Coordination
- Reducing the need for tests via access to integrated records and consistent management by the physician
- Developing a network of efficient providers
- Focusing on quality, which will result in fewer unnecessary services.
- Reducing duplication of services
- Preventing medical errors
Priniciples for establishing a patient-centered medical home (PCMH)
- Personal physician for each patient
- Physician-directed medical practice
- Whole person orientation
- Care coordinated and integrated across all elements of health care system
- Quality and safety
- Enhanced access through open schedule, expanded hours, and E-visits
- Reimbursement structure to support and encourage this model of care
Types of interventions conducted by pharmacists
- Drug Utilzation Review (DUR) - manage price by subsituting lower-cost alternatives and manage utilization by requiring prior authorization for certain drugs
- Medication Therapy Management (MTM) - aim to improve medication use and reduce adverse events for beneficiaries with mutliple drugs. Required by Part D.
- Pharmacist-delivered care management programs - pharmacists collaborate with PCPs. Focus on drug adherence, which is measured one of two ways
- Medication possession ratio = Number of days supply in the patient’s possession / Number of days during the measurement period the patient could have had the drug
- Portion of days covered (PDC) = Number of days of coverage / Total number of days in the measurement period
Benefits of being designated an FQHC
- Reimbursement for services provided under Medicare and Medicaid
- Medical malpractice coverage
- Eligibility to purchase medications for outpatients at reduced cost
- Access to National Health Service Corps
- Access to the Vaccine for Children Program
- Eligibliity for various other federal grants and programs
Three factors to resolve inconsistency between health improvements and financial savings
- A better understanding of economics of DM programs
- Rigorous measurement of financial outcomes
- Reconciliation between program savings and cost increase trends
Describe the Risk Management Economic Model
- Examine link between DM program risk, cost, and savings.
- Quantify savings at different points in the risk distribution.
- Components:
- Risk stratification
- Prevalence of different chronic diseases
- Chronic disease cost
- Payer risk
- Targeting and risk
- Estimated event cost
- Contract rate
- Engagement rate
- Member re-stratification rates
Designing a DM Program - Metrics that should be explicitly recognized
- Number and risk-intensity of members to be targeted
- Types of interventions to be used
- Number of staff, their cost, and other program costs
- Methodology for contacting and enrolling members
- Rules for integrating program with rest of care system
- Timing and numbers of members to be contacted
- Predicted behavior absent intervention and predicted effectiveness at modifying that behavior
Chronic diseases addressed by disease management programs
- Ischemic heart disease
- Heart failure
- Chronic obstructive pulmonary disease (COPD)
- Asthma
- Diabetes
Characteristics of chronic conditions that make them suitable for disease management programs
- Disesase remains the rest of the patient’s life
- Mangeable with pharmaceutical therapy and lifestyle
- Patient can take responsibility for their own condition
- Average cost sufficiently high to warrant expenditure
- Expected cost of non-adherent patient is high
Describe DM ROI Calculations
- In other applications, return expressed on a Net basis.
- In Disease Management express return in gross terms.
- Program cost (denominator)
- Direct costs (salaries of internal staff; vendor fees)
- Indirect costs of internal support
- Management costs
- Overhead and other allocated costs
- Set-up costs: one-time expenses
- Savings due to the program (numerator)
- Savings result from decreased resource utilization
Components of an MTM program for Part D
- Performing or obtaining necessary assessments of the patient’s health status
- Formulating a medication treatment plan
- Selecting, initiating, modifying, or administering medication therapy
- Monitoring and evaluating the patient’s response to therapy
- Performing a comprehensive medication review to identify, resolve, and prevent medication-related problems
- Documenting the care delivered and communicating essential information to the patient’s other primary care providers
- Providing verbal and written education to enhance understanding of medications
- Coordinating MTM services with other health care management services
Possible reasons why DM studies show improved clinical outcomes but not cost savings
- The measurement of financial outcomes is not stable enough, or measurement techniques are not sensitive enough, to detect positive financial outcomes
- Programs are either not focused on financial outcomes or not structured to optimize financial outcomes
- Program sponsors do not understand the economics of DM programs and therefore do not optimize the programs for financial return
- Improvements in quality of care do not always lead to lower costs.
What is Opportunity Analysis
- Demonstrates improvements that could result from applying evidence-based CM programs
- Apply programs to members likely to achieve the Triple Aim (advancing health of populations, improving individual patients experiences, reducing per capita health care costs)
- Several basic components are required:
- Knowledge of member benefit design
- Information on any evidence-based care management programs
- Eligibility and claims data for the prior 2 or 3 years
- While an Opportunity Analysis is retrospective, the results are applied prospectively to identify members meeting the profile of opportunity population
Member Stratification For Opportunity Analysis vs. Care Management
- Care Management program planning follows one of several typical models:
- Model 1: Run a predictive model stratifying members by their risk score.
- Disadv: prevalence of members who are minimally intervenable
- Disadv: operation problems if population is very diverse in term of conditions and needs
- Model 2: A condition-specific model.
- Prevalence of co-morbidities means ultimately need to address all conditions of the high risk population
- Model 3: A rules-based approach.
- Often relies on clinicians for identifying candidates; but clinicians are not good at identifying candidates.
- Model 1: Run a predictive model stratifying members by their risk score.
- Opportunity analysis addresses a number of shortcomings with these models.
- It maintains stratification of model 1, but assigns lower priority to less intervenable patients
- favors programs targeting members with common risk profiles.
Designing a Program (a.k.a. The Opportunity Analysis Process)
- Analytics
- Group conditions by intervention type
- Also consider comorbidities
- Requires further drill down analysis
- Further segmentation by cost and frequency
- Searching the Evidence Base
- Step 1: Search for relevant publications
- Step 2: Assess the quality of evidence
- Step 3: Determine generalizability
- Step 4: Develop a suggested program
- Weighing the Economics
- Expected cost per risk-ranked patient
- The cost of alternative treatment from which we derive potential savings.
- The expected accuracy of our identification algorithm
- Apply a timing factor
- Not all patients offered a program will engage, due to:
- Difficulty reaching the patient
- Cognitive impairment
- Unwillingness to cede hope of recovery
Implementing a Program Following Opportunity Analysis
- Develop a predictive model to populate the risk distribution
- Establish a production analysis and reporting unit
- Determine the number of care managers required
- Develop a budget accounting for all required resources
- Hire and train care managers to conduct interventions
- Develop a plan. Estimate numbers of patients identified, engaged, and transferred
- Roll out intervention and enroll first patients
- On an ongoing basis, track outcome and modify as necessary
The Value of Opportunity Analysis (a.k.a. Reasons for taking this alternative, more structured approach)
- Clinicians are not particularly good at identifying high-risk patients
- The economics of program planning cannot be ignored
- Resources are devoted to patients where they can have the most beneficial effect.
- Understanding which sub-populations are intervenable and the value of that intervention
- Plan for the number of patients, the number of care-givers, and the estimated financial return
- Provides a specific plan with targets for comparing actual outcomes
What is a Propensity Score?
- Summarizes mutliple characteristics into a single value, allowing matches on the score rather than directly on characteristics.
- The score should not be the only criterion on which members are matched
- Disadvantage: it controls only for observable and not unobservable variables (e.g. willingness to change behavior)
General Approach to Propensity Score Matching
- Run logistic regression to create a propensity score
- Assign a value of 1 to participants (the treatment group) and 0 to nonparticipants
- ln[p/(1-p)]=a+B*X +e. p is the probability of the member being in the treatment group, p/(1-p) is the odds ratio
- Solve for p, propensity score. p= (ea+B*X)/(1+ea+B*X)
- Match each participant based on propensity score
- A target member may be matched to one or many comparison members
- Important considerations for matching include:
- With or without replacement decision
- What determines closeness of a match
- What constitutes a satisfactory percentage of matched members
- There is a trade-off between the number of matches and closeness of the score.
- Testing the Results
- Testing for bias is difficult because propensity score only adjusts for observable variables
- Models should use the minimum number of variables necessary
- Validate that the matched sample adjusts for observed differences
Propensity Score Matching Methods
- Nearest neighbor matching - the first member of the comparison population with the closest propensity score is selected, with or without replacement
- Caliper matching - a match is made if the member and match’s propensity scores are within a fixed distance
- Mahalanobis metric matching - this metric is used to measure the dissimilarity between two vectors
- Stratification matching - observations are stratified and then matched by stratum
Compare propensity scores and risk adjustment
- Similarity: Both reduce the effect of multiple risk factors (such as age/sex/diagnosis) to a single score, using multiple regression
- Diff: Propensity score is usually based on a wider range of independent variables, but risk score takes into account more detailed diagnosis variables.
- Diff: Risk adjustment uses entire population, propensity matching can result in many members being discarded
Describe the Actuarially-Adjusted Historical Control Methodology
- Objective criteria define inclusion in reference or intervention population
- Trend is derived from “index” population
- Methodology is “open group”, comparable population selected each period using same selection criteria
- Savings are not directly measured, but derived as difference between actual and projected cost
Issues related to determining and controlling exposure for a disease management study
- Managed vs. Measured populations - populations need not be the same
- Eligible members - eligibility is first determined for health plan membership, then for DM services
- Member month counts - category determined monthly
- Chronic and non-chronic (index) members - assignment determined monthly
- Excluded members
- Measured and non-measured members
- Outcomes should be measured for all targeted members to avoid bias in results
Conditions that would exclude a member from a disease management program
- ESRD
- Transplants
- HIV/AIDs or mental health
- Members who are institutionalized
- Members with catastrophic claims
- Members eligible for other management programs
Challenges when calculating disease management savings
- Applying the proper trend rate - trend must be risk adjusted
- Demonstrating equivalence between the baseline and measurement periods - must account for the change in mix of new, continuing, and terminating members
Leading indicators of savings for EHM programs
- Identification, stratification, and targeting (outreach)
- Program enrollment and use of tools
- Continuing engagement or program completion
- Behavior change
- Behavior maintenance
- Process of care
- Medication adherence
- Achieving clinical targets
- Patient activation
- Satisfaction with EHM
- Well-being
Lagging indicators of savings for EHM programs
- Functional status
- Quality of life and well-being
- Absenteeism and presenteeism
- Morbidity (ER, hospital, procedures)
- Healthcare claims cost
When should an EHM model be used in place of measurement for savings calculations?
- When population is less than 25,000 members
- When fully adjudicated medical and pharmacy claims are not available
- When frequency of reporting is more frequent than annual
- Additional comments on model building
- Build the model using factors similar to those in the studies upon which the model is based
- Model as much of the population as possible
- Determine what savings to model (e.g. health care savings, absenteeism, presenteeism)
Two key questions in Care Management
- Will this drive better clinical outcomes for the member?
- How much money can we save by doing this?
Ways vendors can impact medical cost (in context of care management)
- Utilization management
- Assess medical necessity/appropriateness of care, etc.
- Site of care
- Shift some types of care to less expensive venues
- Diagnosis or patient type
- Savings measured on all covered care to patient, not a subset
- Severity/downcoding
- Identify and reverse inappropriate upcoding
Methods to measure Medical Savings Initiative
- Pre/Post analysis
- Participating/nonparticipating analysis
- Regression/trend line analysis
- Matched cohort analysis
- Propensity score matching
- Coarsened exact matching
Considerations/Adjustments for Care Management populations
- Scope
- Trend
- Risk adjustment
- Overlap
- Delay in claim impact
- Episodic care
- Seasonality
- Class of Claims
- Care shifting
- Credibility
HINT: STRODES CCC
Forms of Reimbursement to Care Management Vendor
- Fee paid per eligible PMPM
- Capitation - payer pays vendor a fixed PMPM, vendor takes on all risk
- Risk Share - vendor awarded a percentage of savings achieved
Four main program components of palliative care program
- Patient identification through predictive analytics
- Specially trained nurses/social workers performing in-home and telephonic visits
- Caregiver support
- Goals-of-care discussions and documentation of plans