All GH Specialty Flashcards
Considerations when selecting risk characteristics to use in a risk classification system
- The [R]elationship between the risk characteristics and expected outcomes. Rates are considered equitable for a given risk characteristic if differences in rates reflect material differences in expected costs
- [C]ausality: the risk characteristic should be related to expected outcomes, but it is not necessary to establish a cause and effect relationship
- [O]bjectivity: select risk characteristics that are capable of being objectively determined
- [P]racticality: reflect the trade-offs between practical and other relevant considerations
- [A]pplicable law: considers whether the law limits the choice of risk characteristics
- [I]ndustry practices: consider usual and customary risk classification practices for the given situation
- [B]usiness practices: consider limitations created by business practices for the given situation
CRAP BIO
ASOP #12
Broad areas in the risk-identification process
- Risk identification tools
- Risk identification techniques
- Assessment of the nature of the risks
> Quantifiable risks can be modeled
> Unquantifiable risks can often be analyzed by the groups that identify them - Recording risks in a risk register: the register details all of the risks faced by the organization. It should be constantly updated to reflect the changing nature of risks and the evolving environment
Sweeting Ch. 8
Criteria for selecting drug-diagnosis pairs for a hybrid model
- Select drugs with patterns of [N]on-discretionary prescribing
- Avoid drugs where there are [I]ncentives for over-prescribing
- Avoid drugs where there are [V]ariations in prescribing across providers, practices, and areas
- Carefully consider selection of [H]igh-cost drugs. In some cases, including the drug in the model may reduce the incentives for insurers to strive for greater efficiency
- Avoid drugs indicated for [M]ultiple diagnoses
- Avoid drugs indicated for [d]iagnoses not included in the HHS-HCC model
- Carefully consider selection of drugs in an area exhibiting a rapid rate of [T]echnological change (which could make cost predictions inaccurate when based on previous years of data)
MINT PHD
GHS-120-17
Formulas for calculating HHS-HCC risk scores
- Calculation of predicted plan liabilities for individuals: the total PLRS is the sum of the incremental predicted plan liabilities (coefficients) from the relevant model (based on the enrollee’s age and cost sharing level)
> For adults and children, this is the sum of the age/sex, HCC, and disease interaction coefficients
> For infants, this is the sum of the maturity/disease-severity category and additive sex coefficients
> Some individuals are eligible for reduced cost sharing. An induced demand factor is multiplied by the above sum to determine the final PLRS for them - Calculation of plan averages PLRS: this is the plan’s weighted average of individual PLRSs, where the weights are enrollment months. All plan enrollees are counted in the numerator, but only billable plan enrollees (parents and three oldest children) are counted in the denominator
GHS-119-17
Considerations when performing services related to risk evaluation
- Information about the financial strength, risk profile, and risk environment of the organization. For example, the nature and complexity of the risks faced by the organization, and the degree to which the organization’s different risks interact with one another
- Information about the organization’s risk management system, including:
> The risk tolerance of the org
> The risk appetite of the org
> The components of the org’s ERM control cycle
> The knowledge and experience of management and the board of directors regarding risk assessment and risk management
> The actual execution of the org’s ERM control cycle - The relationship between the organization’s financial strength, risk profile, and risk environment and the organization’s risk management system
- The intended purpose and uses of the actuarial work product
ASOP #46
Description of propensity score matching
- Propensity score matching is a technique used for making a participant (intervention) group comparable to a non-participant group. It can control for observable variables such as age, gender, and geography, but it does not control for important unobservable influences such as willingness to change behavior
- Each member in the participant group is matched with a member of the non-participant group based on propensity scores
- The propensity score, p, is the probability that the member will be in the participant group
> IT is calculated using logistic regression based on that member’s values for the independent variables (such as age and gender)
> This process reduces a large number of variables to a single score
> Members with similar scores can then be matched, even if they are not matched exactly on the independent variables
> There should still be relatively close matches on those other variables
Duncan Ch. 11
Steps in the process for CMS to assign beneficiaries to an ACO
- Step 1 - the beneficiary is assigned to a participating ACO when:
> The beneficiary has at least one primary care service furnished by a PCP, and
> More primary care services are furnished by PCPs at the participating ACO than from the same types of providers at any other ACO - Step 2: for a beneficiary who has not received any primary care services from a PCP, the beneficiary is assigned to the participating ACO if:
> The beneficiary received at least one primary care service from a specialist physician utilized in assignment at the participating ACO, and
> More primary care services are furnished by specialist physicians utilized in assignment at a participating ACO than from any other ACO
Duncan Ch. 22 (Risk)
Regulatory action levels for health RBC ratios
- Company Action Level (ratio between 150% and 200%) - requires that a company submit a corrective action plan
- Regulatory Action Level (ratio between 100% and 150%) - allows the commissioner to examine the company and issue an order specifying corrective actions
- Authorized Control Level (ratio between 70% and 100%) - allows the commissioner to place the company under regulatory control if deemed to be in the best interest of policyholders and creditors
- Mandatory Control Level (ratio less than 70%) - requires the commissioner to take regulatory control of the company
Due to a trend test, insurers who have an RBC ratio between 200% and 300% and a combined ratio greater than 105% could trigger a company action level event
CRAM
Skwire Ch. 39
Lagging indicators of savings for EHM programs
- Functional [S]tatus
- Quality of life and [W]ell-being
- [A]bsenteeism and presenteeism
- [M]orbidity
- [H]ealthcare claims costs
WHAMS
GHS-125-19
Responsibilities of the CRO
- [I]dentifying and quantifying risks
- [M]anaging the ERM process
- [A]nalyzing risk strategically
- Facilitating the [A]ctivities of the risk management team
- Being a [L]iaison for the CEO, CFO, senior management, and middle management
- Developing organizational [P]&Ps
- Working on [C]oncept development and implementation
- [T]racking key risks
- Facilitating continuous risk [A]ssessment
CAT IMPALA
GHS-123-18
Common features of Medicare prospective payment systems
- A system of [A]verages: providers cannot expect to make a profit on each case, but efficient providers can make a reasonable return on average
- Increased [C]omplexity: DRGs are more complicated than a system based on per diem payments
- [R]elative weights: associated with each patient group to reflect the average resources used by efficient providers
- Conversion [F]actor (base price): the dollar amount for a unit of services. Is multiplied by the relative weight to determine payment
- [O]utliers: unusual cases that require above-average resources and receive extra payments
- [U]pdates: the conversion factor and relative weights are adjusted annually to reflect new technologies and changing practice patterns
- Access and [Q]uality: policymakers monitor PPSs and survey patients to ensure that beneficiaries have adequate access to high quality care and that providers are compensated adequately
QUA CORF
Duncan Ch. 6 (Risk)
Commercially-available diagnosis-based grouper models
- Diagnosis Related Groups: used extensively by CMS and some commercial payers to ensure consistent reimbursement of hospitals for patients with the same risk profile
- Hierarchical Condition Categories (HCCs)
> CMS_HCCs: developed as a health adjuster for Medicare health plans
> HHS-HCCs: developed for risk normalization for ACA plans - Clinical Risk Groups: classifies members of the population based on their burden of chronic medical conditions
- Optum (Impact Pro): primarily used for predicting high risk patients for care coordination
- Chronic Illness and Disability Payment System: developed for adjusting capitated payments for Medicaid beneficiaries
- DxCG Intelligence: uses patient-level information to profile the range and intensity of medical problems for a given population
- Symmetry: the Symmetry Episode grouper technology is the basis for Optum’s predictive and risk adjustment models
- The Johns Hopkins Adjusted Clinical Groups System: patient demographics merged with diagnoses and pharmacy information to produce a series of risk factors and scores. Primarily used for care management
- Milliman Advanced Risk Adjusters (MARA): developed by actuaries and healthcare consultants to provide a set of risk adjustment models that predict risk at a more detailed level than was traditionally available
- SCIO Prospective Financial Risk Model: all-encounter model used to predict risk scores prospectively
- Risk- and severity-adjustment methodologies for measuring inpatient quality care (Truven Health Analytics): created to address mortality, complications, readmissions, and length of stay
- Wakely Risk Assessment model: a transparent, high-performance, and open-code risk assessment model for a commercial population
- Agency for Healthcare Research and Quality (AHRQ) Clinical Classification Software (CCS): diagnosis and procedure categorization scheme
Duncan Ch. 5 (Risk)
Additional challenges faced by CO-OPs when they began operations
- To meet regulatory requirements on short deadlines, CO-OPs had to outsource critical functions such as claims adjudication, customer call centers, and provider networks
- CO-OPs had to decide whether to offer platinum-level coverage, which has lower cost sharing and therefore attracts consumers with significant health needs. Half of the CO-OPs studient offered these plans initially, but then later reversed this decision
- CO-OPs were at a pricing disadvantage since they did not have historical claims data with which to price. And many of them did not have experienced actuaries on staff
- CO-OPs may also be at a disadvantage in the risk adjustment program. To be successful with risk adjustment, an insurer must record every diagnosis of every member, but this is a challenge for CO-OPs who have not yet built the data capacity needed
GHS-122-18
Required disclosures for communications subject to ASOP #46 on risk evaluations in ERM
- The results of the [E]Conomic capital model, their intended use, and any known limitations of the model
- The results of the [S]tress and scenario tests, their intended use, and any known limitations of these tests
- The methodologies and [S]ources of information for identifying and evaluating emerging risks
- Any material [C]hanges in the system, process, methodology, or assumptions from those previously used
- Significant [A]ssumptions used in the risk evaluation and interdependencies among risks and statistical distributions
- The [R]isks included in the risk evaluation and their relative significance, as well as known material risks not included and the rationale for not including them
- Whether and how the modeled future economic conditions have been reviewed and tested for [R]easonableness
SCARERS
ASOP #46
Considerations when developing, reviewing, or maintaining risk evaluation models
Whether models are fit for the purpose:
- The degree to which the models need to be reproducible and [A]daptable to new risks
- The [S]ophistication of the models in proportion to the materiality of the risks they cover
- The practical considerations for the models, including [U]sability, reliability, and cost efficiency
- The statistical and theoretical [L]imitations of the models
- The quality of the [D]ata underlying the models
- The appropriateness of the methodologies used for the model validation and [C]alibration
- The appropriateness of the methodologies used for modeling [D]ependencies among risks
- The appropriateness of the [C]ash flow and discounting methods used in the models
Whether the assumptions are appropriate:
- Whether the assumptions are [S]upportable and appropriately documented
- Whether the assumptions are regularly [R]evisited to determine their appropriateness
- Whether the assumptions regarding anticipated [M]anagement actions are supportable and appropriately documented
CUD SCALD
MRS
ASOP #46
Ways in which provider group-based ACOs are expected to generate savings
- Implementing care coordination to manage the care of the patients who need additional services
- Reducing the need for tests via access to integrated medical records and consistent management by the physician
- Developing a network of efficient providers for referrals and limiting the use of less efficient and more expensive providers
- Focusing on quality, which will result in fewer unnecessary services, and emphasizing preventative services will lead to savings as population health improves
- Reducing duplication of services
- Preventing medical errors
Duncan Ch. 3
Types of clinics that can be used to provide basic health care
- Retail convenient care clinics - many pharmacies, hospitals, and grocery chains have opened retail clinics staffed by nurse practitioners. These clinics offer care on a walk-in basis for common, non-urgent illnesses and are generally open during evenings and on weekends.
- Employer worksite clinics - these are most common at very large employers. They may cover various types of care, such as preventative services, acute care, primary care, pharmacy, disease management, and wellness
- Urgent care clinics - freestanding centers that are staffed by a full range of clinicians, who are directed by physicians. They are generally open longer than physician practices and they offer a full range of ambulatory services, including many that are offered at hospital emergency departments
- Federally qualified health centers (FQHCs) - these are designated by the federal government to provide health care to the underserved and uninsured. An example is a community health center.
CURE
Duncan Ch. 3
Subfactors scored in the S&P analysis of an insurer’s ERM
- Risk management [C]ulture: the analysis of this subfactor focuses on the importance of ERM in all key aspects of the insurer’s business operations and corporate decision-making
- Risk [C]ontrols: this subfactor analyzes the processes and procedures insurers employ to manage their key risk exposures within certain general categories
- [E]merging risk management: this subfactor analyzes how the insurer addresses risks that are not a current threat to creditworthiness, but could become a threat in the future. it also assesses the insurer’s level of preparedness if those emerging risks materialize
- Risk [M]odels: the analysis of this subfactor focuses on assessing the robustness, consistency, and completeness of the insurer’s risk models
- [S]trategic risk management: this subfactor assesses the insurer’s program to optimize risk-adjusted returns and to evaluate and prioritize strategic options on a level playing field
MC SEC
GHS-121-18
Definitions related to risk used in the S&P analysis of ERM
- Risk appetite: the framework that establishes the risks that the insurer wishes to acquire, avoid, retain, and/or reduce
- Risk preferences: qualitative risk appetite statements that guide the insuerer in the selection of risks
- Risk tolerances: quantitative risk appetite statements that guide the insurer in the selection of risks. These statements typically specify maximum acceptable losses and are often probabilistic in nature
- Risk limits: quantitative boundaries that constrain specific risk-taking activities
GHS-121-18
Reasons that CO-OPs failed
- Some were unable to sign up a sifficient number of customers to enable them to cover their fixed costs
- For most CO-OPs, enrollment was relatively strong, but revenue was insufficient to offset higher-than-expected claims costs
- For CO-OPs with very high enrollment, they lacked the capacity to provide good service and they had cash flow problems. They had to rely on federal solvency loans to pay claims, but these loans were limited after Congress slashed program funding
- Payments from the ACA premium stabilization programs came much later than when costs were incurred. The payments for the 2014 plan year didn’t come until September 2015, which was too long to wait for one CO-OP that therefore went insolvent
- Lower than expected payments from the risk corridor program was the breaking point for one CO-OP
GHS-122-18
Definition, requirements, and goals of an Own Risk and Solvency Assessment (ORSA)
- Definition: a confidential internal self-assessment of the risk associated with an insurer’s current business plan and the sufficiency of capital resources to support those risks
- Requirements for an insurer subject to ORSA:
> Conduct an ORSA at least annually to assess the adequacy of its risk management framework and solvency position
> Internally document the process and results of the assessment
> Provide a confidential high-level ORSA summary report annually to the lead state commissioner if the insurer is a member of an insurance group and, upon request, to the domiciliary state regulator - Primary goals of ORSA:
> Foster an effective level of ERM at all insurers, through which each insurer identifies, assesses, monitors, prioritizes, and reports on its material and relevant risks, using appropriate techniques and in a manner that is adequate to support risk and capital decisions
> Provide a group-level perspective on risk and capital as a supplement to the existing legal entity view
DRG
GHS-116-19
Approaches for defining coverage periods for health reinsurance
- “Losses occurring during”: claims are covered only if they occur during the agreement year, regardless of the effective date of risks accepted by the insurer. It is most commonly used for excess arrangements
- “Risk attaching”: provides that the reinsurance period for each underlying risk from the insurer coincides with the insurer’s policy year. Is commonly used for proportional reinsurance
GHS-117-16
Processes included in the ERM control cycle
- Risks are [I]dentified
- Risks are [E]valuated
- Risk appetites are [C]hosen
- Risk [L]imits are set
- Risks are [A]ccepted or avoided
- Risk [M]itigation activities are performed
- Actions are taken when risk limits are [B]reached
ICE BALM
ASOP #46
How ERM differs from traditional risk management
- Traditional health care risk management examines risks individually
> This approach maintains that risks are best managed within functional silos and that shareholder value is maximized through risk transfer
> But this approach fails to appreciate relationships among risks. And it lacks the optimization of collective risk management through an enterprise approach - ERM uses common metrics across risk domains to determine the effectiveness of risk management approaches. With an integrated enterprise-wide view of risk, the risk manager focuses on opportunities as well as risks
GHS-123-18
Key information to include in an ORSA Summary Report
- The basis of accounting and the date or time period that the numerical information represents
- The scope of the ORSA conducted
- A short summary of material changes to the ORSA from the prior year
GHS-116-19
Risk adjustment approaches for updating benchmarks to the performance years for Medicare ACO
- For newly-assigned beneficiaries: the ACO’s CMS-HCC prospective risk scores are recalculated to adjust for changes in severity and case mix
- For continuously assigned beneficiaries: for each performance year, the risk ratio is calculated as the ratio of the HCC score for that year relative to benchmark year 3. An overall risk ratio is calculated as a weighted average of the ratios for the different Medicare enrollment types
> When the risk ratio is greater than one, demo risk scores are used. This is done to negate some of the effect of diagnosis-driven increases in risk scores.
> When the risk ratio is less than one, HCC ratios are applied
Duncan Ch. 22 (Risk)
Practical issues with applying risk adjustment models
- Risk transfer models generally assume that risk and cost are correlated, so a 1% increase in risk is assumed to increase costs by 1%. But not all cost-risk relationships are linear. As a result, these models overcompensate some plans and undercompensate others
- The Medicare Payment Advisory Commission (MedPAC) identified the following issues related to MEdicare HCCs:
> Although the CMS-HCC risk adjusters map diagnosis codes to 189 HCCs, only 70 HCCs are actually [U]sed for risk scoring
> There is considerable [V]ariation within HCCs in terms of patient severity and experience
> Certain [R]acial groups and income levels are likely to be higher consumers of healthcare, but this is not reflected in the model
> Because the model only uses [O]ne year of data for determining risk scores, for some chronic conditions the model under-predicts since the patient doesn’t have a claim each year
> The standard model does not include a factor for the [N]umber of conditions. But MedPAC has found that this factor would lead to more accurate predictions - Several issues exist in ACA risk adjustment
UV RON
Duncan Ch. 21 (Risk)
Purposes of an internal economic capital model
- To determine how much [C]apital a firm should hold to protect it against adverse events
- To [P]rice new products and decide how to allocate capital across business lines
- To assess the amount of [E]conomic capital that should be held over time
- To assess the impact of changes in [I]nvestment strategy and capital structure
- To look at how an organization copes in the face of [E]xtreme events
- To help measure [P]erformance
- To carry out [D]ue diligence for corporate transactions
- To provide information on the financial state of the organization to a [R]egulator
DICE PREP
Sweeting Ch. 18
Calculation of risk charge for disability income
The risk charege is the sum of:
1. A factor multiplied by earned premium. The factors vary by coverage
Coverage Type $0-50 M $50 M +
Non-Canc. Ind 35% 15%
Other Ind 25.00% 7.00%
Group LT 15% 3.00%
Group ST 5.00% 3.00%
> In applying factors, both individual products are combined and both group products are combined, but the individual and group products are not combined with one another
> For each of individual and group, the largest factor is applied first
2. 5% of claim reserves
Skwire Ch. 39
Examples of criteria that indicate negative scores for ERM subfactors
- Risk management culture: ERM is not practiced, or is practiced inconsistently, across the enterprise, with limited Board participation
- Risk controls: the insurer does not consistently identify and monitor its key risk exposures
- Emerging risk management: the insurer doesn’t have processes for identifying and evaluating emerging risks
- Risk models: the insurer doesn’t use risk models or the risk models fail to capture major risks
- Strategic risk management: the insurer does not optimize risk-adjusted returns, and risk/reward analysis is not adequately reflected in decision making
GHS-121-18
Key processes for transitioning to ERM
- Setting management [O]bjectives: these should relate to organizational strategy, operations, reporting, and compliance
- Achieving [S]tructure and organization: the risk committee should be formed, responsibilities should be defined, and performance metrics should be established
- Employing [M]ethods, information, and reports: this includes the event identification process and the enhancement of risk response decisions
- Establishing the [I]nformation technology infrastructure to ensure prompt communication throughout the organization
- [R]ecognizing roles and responsibilities: determining who is responsible for responding to risks, mitigating risk, and carrying out the strategic plan
- [M]onitoring: this ongoing activity is undertaken at all levels of the organization to ensure early identification of risk
MM… SORI
GHS-123-18
Considerations when performing risk treatment activities
- Information about the financial strength, risk profile, and risk environment of the organization. This includes various items such as:
> The financial flexibility of the organization
> The nature, scale, and complexity of the risks faced by the organization
> The organization’s strategic cgoals
> The degree to which the organization’s different risks interact with one another - Information about the organization’s own risk management system. This also includes various items, such as:
> The risk tolerance and risk appetite of the org
> The components and execution of the org’s ERM control cycle
> The knowledge and experience of management regarding risk assessment and risk management - The relationship between the org’s financial strength, risk profile, and risk environment and the org’s risk management system
- The intended purpose and uses of the actuarial work product
ASOP #47
Principles for developing grouper models
These principles guided the development of the Diagnostic Cost Groups, but they are universal and continue to be promoted in other publications
- Diagnostic categories should be clinically [M]eaningful
- Diagnostic categories should predict medical [E]xpenditures
- Diagnostic categories should have adequate [S]ample sizes to permit stable estimates
- [H]ierarchies should be used to characterize the illness level within each disease process
- Diagnostic classification should encourage [S]pecific coding
- Diagnostic classification should not reward coding [P]roliferation
- Providers should not be penalized for recording [A]dditional diagnoses
- The classification system should be internally [C]onsistent
- The diagnostic system should assign [A]ll codes (ICD-9/10)
- [D]iscretionary diagnostic categories should be excluded
SHE’S MADCAP
Duncan Ch. 5 (Risk)
Questions to answer when building a clinical identification algorithm
A clinical identification algorithm is a set of rules that is applied to a claims data set to identify the conditions present in the population
- Where are all the diagnoses recorded?
- What is the source of the diagnosis (claims, medical charts, etc.)?
- If the source is claims, what claims should be considered (IP, OP, lab, etc)?
- If the claim contains more than one diagnosis, how many diagnoses will be considered for identification?
- Over what time span, and how often, will a diagnosis have to appear in claims for that diagnosis to be incorporated?
- What procedures may be useful for determining the severity of a diagnosis?
- What prescription drugs may be used to identify conditions?
Duncan Ch. 4 (Risk)
HHS considerations when selecting drug-diagnosis pairs to include in a hybrid HHS-HCC model
- [E]mpirical considerations: a wide range of exploratory data analysis was performed to determine pairs to consider. Then stepwise regression was used to determine which drug classes added the most predictive power to the existing model
- [C]linical considerations: doctors and pharmacists were consulted to provide deeper insights into the medical links between health conditions and the drug groups being considered, and to identify the potential for gaming for each drug being considered
- Additional considerations:
> Imposing medical [R]estrictions based on days’ supply or number of prescriptions in order to trigger a drug indication
> Whether to [S]plit certain drug classes or restrict a drug-diagnosis interaction to certain drugs within a class
> HHS examined different [M]odels that include imputation-only versus imputation and severity approaches
> [P]rophylactic use of drugs: drugs are sometimes used in persons at risk of disease but who do not actually have the disease
> Multiple [I]ndications for drugs: drug classes are often indicated for multiple diagnoses
ME SCRIP
GHS-120-17
Types of demographic (mortality and longevity) and non-life insurance risk
- Level risk (for life insurance) or underwriting risk (for non-life insurance): risk that the average level of claims of a particular population will differ from what was assumed
- Volatility risk: risk of claims differing from assumed due to volatility in a small population
- Catastrophe risk: risk of large losses due to some significant event (such as natural disaster)
- Trend risk: risk that claims rates will change unexpectedly from current levels
Sweeting Ch. 7
Considerations for designing an economic capital model
- Must agree on what the model will be used for
- Must agree on what risks will be modeled
- Must decide which approach to use
> Factor table: requires a certain amount of capital to be held for each unit of a particular activity
> Deterministic approach: stress test that considers the amount a firm would lose under different scenarios
> Stochastic approach: use a stochastic, parametric, or empirical model to produce a large number of simulated results - Decide whether the model will be run on an enterprise-wide basis, or whether individual models will be run for each business line with the results being combined later
- Consider what output is required from the model
UR BOA
Sweeting Ch. 18
ASOP definition of enterprise risk management
ERM is the discipline by which an organization in any industry assesses, controls, exploits, finances, and monitors risks from all sources for the purpose of increasing the organization’s short- and long-term value to its stakeholders
ASOP #46
Goals of risk adjustment for the Arizona Medicaid program
- Align [P]ayment with the relative health risk of members at each health plan
- Be accurate and unbiased
> [A]ccurate: should be a relatively high correlation between the projected cost of the population and the actual cost
> [U]nbiased: the methodology should not overcompensate for some risk factors at the expense of others - Be as [S]imple as possible while accomplishing other goals
- [M]inimize the administrative burden of developing and implementing the methodology
- Be [B]udget neutral
BUS MAP
Duncan Ch. 13 (Risk)
Examples of favorable indicators when determining individual risk control scores for major risks
- Risk identification: insurer has a comprehensive process of identifying all risk exposures
- Risk measurement and monitoring: insuerer monitors all significant risks on a regular basis, using multiple measures
- Risk standards and limits: insurer has clearly documented comprehensive risk limits, risk standards, and early warning systems for risk taking and risk management
- Risk management: insurer has formal programs in place and uses multiple strategies to proactively manage the risks within tolerances
- Risk limit enforcement: insurer has clear processes to correct a breach of risk limits and to respond to early warning limits within a prescribed time limit
- Risk learning: insurer has a defined process to analyze and learn from past losses, near-misses, and successes
GHS-121-18
Phases of an ERM process
- Assessment: educate all appropriate staff about the ERM concept and why it is the right approach
- Define the organization’s goals and objectives
- Define the organization’s risk tolerance, which is the amount of risk exposure the organization is willing to bear.
- Event identification: identify all events that could affect the achievement of goals. Differentiate between risks (with potential for a negative impact) and opportunities (may have a positive impact)
> Causes of risk include people, processes in place, and management decisions
> Risk events include a loss of assets, business interruption, and fraud and abuse - Risk assessment: evaluate all potential events to determine their impact and likelihood of occurrence. Prioritize risks based on their potential impact
- Risk response: identify, evaluate, and develop options to deal with risk. The categories of risk handling solutions are risk avoidance, acceptance, reduction, and sharing
- Take a portfolio view of risk. This allows leadership to catalog all risks and look at the totality of organizational risk. It also involves understanding how corporate objectives and risks interrelate and affect the achievement of goals
TARA PIG
GHS-123-18
ORSA includes ongoing processes to support
- Risk identification and [P]rioritization
- Risk [M]easurement
- Articulation of risk [A]ppetite and tolerances
- Implementation of risk [L]imits and controls
- Development of risk mitigation [S]trategies
- Capital [A]dequacy assessment
- [G]overnance and risk reporting
GLAM ASP
Understand ORSA Before Implementing It
Domains of risk recognized by ERM
- [O]perational: risk related to the organization’s core business, including its systems and practices. Examples include clinical services and outpatient care
- [F]inancial: risks related to the organization’s ability to earn, raise, or access capital, as well as costs associated with its transfer of risk. Examples include bonds and insurance premiums
- [H]uman: risks related to recruiting, retaining, and managing the organization’s workforce. Examples include employee turnover and absenteeism
- [S]trategic: risks related to the ability of the organization to grow and expand. Examples include joint ventures and customer satisfaction
- Legal or [R]egulatory: risks related to health care statutory and regulatory compliance, licensure, and accreditation. Examples include HIPAA compliance and OSHA regulations
- [T]echnological: risk associated with biomedical and information technologies, equipment, devices, and telemedicine. Examples include clinical information systems and off-site monitoring of critical care units
FROTHS
GHS-123-18
Guidelines for the S&P ERM Scores
1 – Very Strong – positive score for all subfactors and economic capital model is assessed either good or superior
2 – Strong – the risk management culture, risk controls, and strategic risk management subfactors are scored positive, one or both of the other two subfactors is scored neutral, no subfactor is scored negative
3 – Adequate with strong risk control – the risk control subfactor is scored positive, the strategic risk management subfactor is scored neutral, and no subfactor is scored negative
4 – Adequate – the risk controls and risk management culture subfactors are scored at least neutral, but overall the insurer doesn’t satisfy the requirement for adequate with strong risk control
5 – Weak – one or both of the risk controls and risk management culture subfactors are scored negative
GHS-121-18
S&P approach for scoring an insurer’s risk controls subfactor
- The risk controls of each of the insurer’s material risks are scored first. The major risks, which each receive an individual risk control score, are the following general categories:
> Credit risk
> Interest rate risk
> Market risk
> Insurance risk
> Operational risk - The individual risk controls scores then determine the overall risk controls score, as follows:
> Positive: risk controls of material risks are predominantly scored positive, and no risk controls of an individual risk is scored negative
> Negative: one or more risk controls of material risks is scored negative
> Neutral: all other combinations - Each risk’s relative importance to the insurer’s overall risk profile determines its weight in the overall score
GHS-121-18
Examples of criteria that indicate positive scores for ERM subfactors
- Risk management culture: ERM is well-entrenched in the organization with a formal ERM framework, an independent and well-staffed ERM department, and active Board participation
- Risk controls: the insurer has identified all material risks from all sources and frequently monitors its risk exposures with multiple metrics
- Emerging risk management: the insurer has well-established processes for identifying and monitoring emerging risks, analyzing their significance, and preparing for and/or mitigating them
- Risk models: the insurer’s risk models capture all material risks and risk interrelations in aggregating exposures
- Strategic risk management: the insurer has a track record of consistently using a risk v. reward decision-making framework to optimize risk-adjusted returns at an enterprise level
GHS-121-18
Reasons the ACA was enacted
- Increase the quality and affordability of health insurance
- Lower the uninsured rate by expanding public and private insurance coverage
- Reduce the costs of healthcare for individuals and the government
Duncan Ch. 21 (Risk)
Conditions that would exclude a member from a disease management program
- End-stage renal disease (ESRD): this condition is excluded because management of the condition may delay cost, but it cannot ultimately reduce or postpone those costs
- Transplants: claims are high up to a period shortly after the transplant, at which point the claims are reduced and stabilized
- HIV, AIDS, mental health: privacy issues make it difficult or impossible for a vendor to receive complete data feeds, or manage the member
- Members who are institutionalized: these members may not be reachable, or may not benefit from disease management interventions
- Members with catastrophic claims: these members are not manageable by the DM program, and are often subject to management by another program
- Members who are eligible for other management programs
Duncan Ch. 12
General considerations when designing, performing, or reviewing a capital adequacy assessment
- The insurer’s risk [P]rofile and capital
- The business and risk [D]rivers
- The insurer’s plans and [S]trategies
- The timing and variability of projected liability and asset related cash [F]lows
- The timing and [I]ntensity of future calls on capital, and the ability to replenish capital
- [E]xisting or accessible resources
- The effect of [C]hanges in the risk profile
- Correlation, concentration, diversification, and interdependence between risks ([R]elationships)
- Projections of future [E]conomic conditions
- Parameter [U]ncertainty
- The [M]ethodology used to assess the adequacy of capital
- The insurer’s specifics regarding risks [I]dentified: definition of, metrics used, identification process, relevant reports, and limitations of tools to evaluate
- The insurer’s risk [A]ppetite and tolerance
- Prior capital [A]dequacy assessments, including underlying assumptions
UP FIR ACADEMIES
ASOP #55
Types of systemic risk
- [F]inancial infrastructure: e.g., a bank unable to pay back loans from other banks
- [L]iquidity risk: can become systemic if run on banks occurs
- [C]ommon market positions: feedback risk is the risk that a change in an investment’s price will result in further changes in the same direction. This could impact all investors who have a common investment position
- [E]xposure to a common counter-party: risk that a relatively small failure will cascade through several layers of investors
CLEF
Sweeting Ch. 7
Benefits of adding prescription drug utilization to the HHS-HCC risk adjustment model
- [I]mputing missing diagnoses: drug util data may capture the existence of some conditions that are missing in diagnoses entered on medical claims, particularly for chronic conditions
- [S]everity indicator for a specific diagnosis: the presence of certain drugs can indicate the severity of illness for some HCCs
- More timely, standardized [D]ata: drug data can be available more quickly than medical data, is often more complete, is often easier to access, and is more standardized because it does not vary with provider coding patterns
- [M]itigates the financial disincentive to prescribe expensive medications: a risk adjustment model that incorporates prescription drug utilization will compensate plans that cover high-cost medications, reducing the incentive for plans to restrict access to these medications
DIMS
GHS-120-17
Considerations related to stress and scenario testing
- The extent to which various stress tests reflect similar or different degrees of [A]dversity
- Any items in the organization’s business plan that describe how the organization will function during an [E]xtreme event
- That an extreme event scenario may be a single event or a [S]eries of events
- How actions of various stakeholders and markets during extreme events may differ from those during “[N]ormal” times
- Whether assumed [I]nterdependencies are appropriate under the stress or scenario testing assumptions
- How to define situations that result in a [N]on-quantifiable risk
- Some stress and scenario tests will be [H]ypothetical situations for which the actuary will not need to determine whether the scenario is realistic
HI ANNES
ASOP #46
Types of drug grouper models
- Therapeutic class groupers: group drugs into a hierarchy of therapeutic classes, e.g. American Hospital Formulary Service and Generic Product Identifier
- Drug-based risk adjustment models: infer the member’s diagnosis from the therapeutic class of drugs the member uses, and generate a relative risk score, e.g. Medicaid Rx, Pharmacy Risk Groups, and Rx Groups
Duncan Ch. 5 (Risk)
Structure of Medicare ACOs
- An ACO is a network that is either physician-practice based or hospital based that shares the responsibility for providing care to patients
- The MSSP has two models of gainsharing:
> One-sided: ACO and CMS share 50/50 in gains
> Two-sided: ACO shares in more, but also shares in losses - The ACO must meet certain requirements to be allowed to share savings with CMS:
> The ACO must meet certain quality standards in the following domains: patient/caregiver experience, care coordination/patient safety, preventative health, and at-risk population
> Savings must surpass a hurdle rate, which ranges between 2% for the largest ACOs and 4% for smaller ACOs - The ACO must manage all of the medical health care needs of at least 5,000 Medicare beneficiaries for at least 3 years
- Patients do not enroll in the ACO, they are “attributed” to an ACO because they have received the plurality of their primary care from an ACO provider
> The patient is assigned to a PCP who is accountable for providing quality care, reducing util, and convincing the patient not to seek care outside the ACO network
Duncan Ch. 22 (Risk)
Description of the actuarially-adjusted historical control method
- Objective criteria are used to determine which members will be included in the baseline and intervention populations
> This is an open group method, since the populations are not identical. A closed group (or cohort) method uses the exact same population in both periods
> But the populations are comparable, and assumed to be equivalent, because the same selection criteria is used in each period - Savings are not directly measured. They are derived as the difference between
> An estimated statistic projected from the baseline period. The key component is the health care trend factor used for this projection.
> The actual statistic from the measurement period - Formulas for calculating savings:
> Savings = [ChrUtilpy * (1 + tr) - ChrUtilact] * ChrMbrs * Cost/Svc
> Trend rate comes form the health plan’s non-chronic population
> Savings PMPM = savings / member months
Duncan Ch. 12
Components of the ACA risk adjustment methodology
- HHS-HCC risk adjustment model uses in individual’s demographic and diagnoses to predict medical expense risk. A risk score is then calculated as a relative measure of how costly that individual is anticipated to be to the plan
- Risk transfer formula: averages all individual risk scores in a covered plan, makes certain adjustments, and calculates the funds transferred between plans
GHS-119-17
Uses of reinsurance for medical coverages other than major medical
- [F]ixed benfits medical and surgical products: reinsurance is rarely purchased for claims protection, but quota share coinsurance may be purchased to support growth
- [S]pecific or dread disease products: reinsurance is rarely used since most insurers retain all the risk on these policies
- [A]ccident and AD&D coverages: except for very large coverages, reinsurance is rarely used. Some reinsurers offer coverage for accidents on a portfolio basis, similar to catastrophe reinsurance
- [M]edicare Supplement: reinsurance is attractive for an insurer that no longer wants to retain the risk or manage the product. Quota share coinsurance is sometimes used because this product is relatively capital intensive. Fronting is also used
- [C]ritical illness: coinsurance has been used, with the reinsurers providing expertise and product design advice
- [D]ental and vision coverages: many group insurance plans offer these coverages and then use coinsurance to transfer the risk to reinsurers that specialize in these coverages
- [O]ther uses of reinsurance include captive reinsurers for employee benefits, stop loss for providers, securitizations of health insurance, and capital relief provided by a portfolio reinsurance agreement
MOC FADS
GHS-117-16
Reasons for reinsuring accident and health products
- To [T]ransfer risk (primary)
- To enable an insurer to [O]ffer products in a specific market in which it lacks expertise. This allows the insurer to provide a broad range of products
- To share the financial [L]oad. This is sometimes done for products that require large amounts of capital such as individual LTC
LOT
GHS-117-16
Models typically used to stratify members in a care management program
- Stratify members according to the predictive risk [S}core - but at the top of that list are many members who represent a low opportunity for cost savings. Additionally there is a diverse mix of conditions and demographics that make it hard to select an appropriate intervention.
- [C]ondition-specific model - focus on members with a specific condition, such as diabetes. But any program targeted at a specific condition may miss the greater opportunity of addressing the co-morbid conditions of that population
- [R]ules-based approach - clinicians use a set of rules to identify patients for care management. But the literature suggests that clinicians are not particularly good at identifying patients for management. Also, regression to the mean is likely.
Opportunity analysis is designed to address the shortcomings of these models.
SRC
Duncan Ch. 9
Economic capital and risk optimization measures
Definition of economic capital: the additional value of funds needed to cover potential outgoings, falls in asset values, and rises in liabilities at some given risk tolerance over a specified time horizon
- Risk-adjusted return on capital (ra) = risk-adjusted return / economic capital. Is well suited for comparing different lines of business within a firm
- Economic income created (EIC) = (ra - rh) * EC, where rh is the hurdle rate of return and EC is the economic capital. Is the rate of return that each unit of a product sold must earn to cover the additional amount of risk it generates
- Shareholder value (SV) = EC * (ra - rg) /(rh - rg), where rg is the rate of growth of the cash flows. Represents the discounted present value of all future cash flows
- Shareholder value added (SVA) = EC * [(ra - rg) /(rh - rg) - 1] = SV - EC
Sweeting Ch. 18
External sources of clinical identification algorithms
- HEDIS (NCQA) has algorithms for identifying some conditions (e.g., asthma, HBP, and diabetes)
- The Population Health Alliance: publishes a journal that evaluates many different types of intervention programs. Code sets for identification are frequently provided in these articles
- CMS: Chronic Conditions Data Warehouse (CCW) provides researchers with Medicare and Medicaid data. A section of the CCW provides condition algorithms for more than 60 chronic or potentially disabling conditions
- Quality reporting and improvement organizations
- Grouper models: commercially available models that identify member conditions and score them for relative risk and cost
- Literature: articles will sometimes report the codes that are used for analysis
Duncan Ch. 4 (Risk)
Considerations in choosing whether to use modeled or measured savings for EHM calculations
- Measured savings are not accurate for small populations, so models should be used for them. A common cutoff point is 25,000 members
- Measured savings calculations require full-adjudicated claims data. But savings models require only data typically generated through the program, such as demographics, participation, risk factors, disease, or gaps in care
- Measured savings are generally calculated annually, while modeled savings can be run with any desired frequency
- Measured savings inherently incorporate the organization’s specific data. Modeled savings calculations must incorporate this data to be as accurate
- Measured savings are validated (or audited) by a third party. Modeled savings are developed based on published evidence or studies
GHS-125-19
Major publishers of health care quality measures
- National Quality Forum (NQF): has the lead responsibility in the US for determining which heatlh care quality measures should be recognized as national standards. Operates under a three-part mission to improve the quality of healthcare by:
> Building consensus on national priorities and goals for performance improvement
> Endorsing national consensus standards for measuring and publicly reporting on performance
> Promoting the attainment of national goals through education and outreach programs - Agency for Healthcare Research and Quality: developed a set of QIs (Quality Indicators) which use hospital data to highlight potential quality concerns. The QIs include IP, prevention, patient safety, and pediatric indicators
- Joint Commission: the primary accrediting body for hospitals, nursing homes, and other care facilities
- CMS: works with health care providers to develop measures of quality. Has the ability and the funding to sponsor various quality initiatives
- Hospital Quality Alliance: formed to develop performance measures of hospital care. One of its products is the “Hospital Compare” website
- Measures Applications Partnership: a public-private partnership convened by the NQF to provide input on the selection of performance measures for public reporting and performance-based payment programs
- American Medical Association Physician Consortium for Performance Improvement: a physician-led consortium focused on clinical quality improvement and patient safety
Duncan Ch. 4 (Risk)
Considerations when selecting a risk adjustment model
- Intended [U]se: consider the degree to which the model was designed to estimate what the actuary is trying to measure
- [I]mpact on program: consider whether th risk adjustment system may cause changes in behavior because of underlying incentives
- Model [V]ersion: if a new version of a previously-utilized model is used, consider the materiality of changes to the model
- [P]opulation and program: consider if the population and program to which the model is being applied are consistent with those used to develop the model
- [T]iming of data collection, measurement, and estimation: consider the impact of timing differences between when the model is developed and when it is applied
- [T]ransparency: consider whether the model provides an appropriate level of transparency for the intended use
- [P]redictive ability: consider the predictive ability of the model and the characteristics of the various common predictive performance measures
- Reliance on [E]xperts: consider whether the individuals incorporating their specialized knowledge into the model are experts in risk adjustment
- [P]ractical considerations: consider practical limitations, such as the cost of the model, the actuary’s familiarity with the model, and its availability
PUP PIT VET
ASOP #49
The ACA risk transfer formula
The revenue transfer process applies the difference between two quantities: premium with risk selection minus premium without risk selection.
Primary approaches for reinsurance of major medical policies
Coinsurance is rarely used today, stop loss is common
1. Quota share coinsurance
2. Specific stop loss or excess
3. Aggregate stop loss or excess: reinsurance is usually not for 100% of excess claims. The ceding company is required to keep a portion of claims to ensure appropriate claims handling
4. Combined specific and aggregate stop loss or excess
> Ceding companies often purchase specific and aggregate stop loss as a single package
> The cost of each coverage is affected by the other. For example, a lower specific attachment point will result in lower aggregate reinsurance claims
5. Carve out coverages
GHS-117-16
Basel Committee definitions of types of operational risks
- [I]nternal fraud: acts which involve at least one internal party and that are intended to defraud, misappropriate property, or circumvent the law
- [E]xternal fraud: acts by a third party that are intended to defraud misappropriate property, or circumvent the law. Examples include theft and fraudulent insurance claims
- Employment practices and [W]orkplace safety: the risk related to employee relations workplace safety, and diversity and discrimination
- [C]lients, products, and business practices: losses may arise from a failure to meet a professional obligation to specific clients. The firm must ensure that products sold are suitable for the clients to whom they are sold
- [D]amage to physical assets: the risk that an organization will suffer financial losses due to some form of physical damage to its property
- [B]usiness disruption and system failures: the risk that an external event will affect the physical ability of a firm to carry on business at its normal place of work
- [E]xecution, delivery, and process management: the risk of a failure in a process. This might lead at best to embarrassment, and at worst to litigation
WEB DICE
Sweeting Ch. 7
Key metrics in the design of disease management programs
- The number and [R]isk-intensity of members to be targeted - the number must be large enough to produce savings that offset implementation costs, but not so large that marginal costs exceed marginal savings
- Types of [I]nterventions to be used in the program - such as mail or automated outbound dialing
- The number of nurses and other [S]taff needed for the program, and program costs
- The methodology for contacting and [E]nrolling members
- The [R]ules for integrating the program with the rest of the care management system
- The [T]iming and number of contacts, enrollments, and interventions
- The [P]redicted behavior of the target population if there were no intervention, and the predicted effectiveness of the intervention at modifying that behavior
STRIPER
Duncan Ch. 8
Types of people risk
- [I]ndirect employment-related risks: the risk that the wrong people are employed, retained, or promoted
- [A]dverse selection: the risk that the demand for insurance will be positively correlated with the risk of loss
- [M]oral hazard: the risk that people who are insured will be less likely to avoid risk
- [A]gency risk: the risk that a party that is appointed to act on behalf of another will instead act on its own behalf
- [B]ias: type of systemic risk
> Deliberate bias can arise if key risks are intentionally omitted or downplayed
> Unintentional bias may occur due to overconfidence in one’s ability to complete a difficult task
AB AMI
Sweeting Ch. 7
Adaptions made to CMS-HCCs to develop HHS-HCCs
- Prediction [Y]ear: the CMS-HCC risk adjustment model is prospective, but the HHS-HCC risk adjustment model is concurrent
- [P]opulation: the CMS-HCCs were developed using data from the elderly and disabled Medicare populations. The HHS-HCCs were modified to reflect medical conditions and cost patterns for commercial poulations
- Type of [S]pending
> The CMS-HCCs are set up to predict non-drug medical spending, while the HHS-HCCs predict the sum of medical and drug spending
> The CMS-HCCs predict Medicare provider payments while the HHS-HCCs predict commercial insurance payments
SPY
GHS-119-17