| Literature DB >> 29270224 |
James M DuBois1, John T Chibnall2, Emily E Anderson3, Heidi A Walsh1, Michelle Eggers1, Kari Baldwin1, Kelly K Dineen4.
Abstract
BACKGROUND: Unnecessary invasive procedures risk harming patients physically, emotionally, and financially. Very little is known about the factors that provide the motive, means, and opportunity (MMO) for unnecessary procedures.Entities:
Keywords: Medical misconduct; Mixed methods; Standard of practice; Unnecessary procedures
Year: 2017 PMID: 29270224 PMCID: PMC5735893 DOI: 10.1186/s13037-017-0144-y
Source DB: PubMed Journal: Patient Saf Surg ISSN: 1754-9493
The number and kind of deviations, procedures performed, and patient characteristics
| Deviations from Standard of Care | Procedure Performed | ||
| Deviations >1 type | 73.4% | Invasive cardiology | 26.6% |
| Deviations in >1 environment | 48.1% | Spinal fusion/surgery | 15.2% |
| Repeated unnecessary procedures | 97.5% | Other surgery | 31.6% |
| Period of unnecessary procedures | Infusion | 11.4% | |
| < 1 year to <2 years | 7.6% | Other | 15.2% |
| 2 to <5 years | 39.2% | Patient Characteristics | |
| 5 + years | 53.2% | No. of patients: >30a | 56.3% |
| Dollar amount billed | Patient age | ||
| < 100,000 | 5.1% | Adult | 22.8% |
| 100,000–500,000 | 6.3% | Senior | 21.5% |
| 500,001–1 million | 3.8% | Child | 2.5% |
| 1,000,001–2 million | 7.6% | General, mixed population | 53.2% |
| > 2 million | 45.6% | Women explicitly targeted | 2.5% |
| Unknown | 31.6% | Racial minority explicitly targeted | 3.8% |
| Medicare billed | 73.4% | ||
| Cases involve patient deaths | 31.6% | ||
aInformation on number of patients unavailable in 15 cases. The denominator used here is 64
Individual and environmental characteristics
| Physician Description | Significant personal problems | 11.4% | |
| Age > 49 years old | 48.1% | Poor professional skills | 12.7% |
| Gender: Male | 96.2% | Claimed cases as uniquely difficult | 12.7% |
| Born outside the US | 27.8% | Relationship to Industrya | |
| Trained outside the US | 40.5% | Gifts | 3.8% |
| Specialty | Consulting/Authorship/Speaking | 8.9% | |
| Internal/General | 8.9% | Grants for education or research | 3.8% |
| OB/GYN | 3.8% | Ownership interest | 8.9% |
| Psychiatry/Neurology | 1.3% | Physician owned distributorship | 2.5% |
| Pediatrics/Family | 5.1% | Other relationship to industry | 11.4% |
| Anesthesiology | 6.3% | Workplace | |
| Other surgery/emergency/ENT | 7.6% | Non-Academic, Private Practice | 92.4% |
| Urology | 3.8% | Physician practice size | |
| Cardiology/Interventional | 26.6% | Solo | 17.7% |
| Neurosurgery | 10.1% | Small (2–3 physicians) | 12.7% |
| Orthopedics/Surgery | 10.1% | Large (≥ 4 physicians) | 55.7% |
| Oncology | 6.3% | Other/Unknown | 13.9% |
| Other | 10.1% | Physician ownership | |
| Board certified | 70.9% | Solo | 29.1% |
| Antisocial personality traits | 48.1% | Joint | 13.9% |
| Engaged in unrelated illegal actions | 21.5% | Employee | 45.6% |
| Evidence of severe mental illness | 1.3% | Other/Unknown Motive | 11.4% |
| Substance addiction | 2.5% | Accomplice involved | 57.0% |
aRelationships to industry means that reports on the unnecessary procedures mentioned such relationships. The cases investigated occurred before the Physician Payments Sunshine Act was effective, so no publicly available database of relationships existed. Total percent with any kind of relationship was 24.1%
Response to unnecessary procedures: whistleblowers, investigation, fraud charges, consequences
| Whistleblowers | Specific Fraud Charges | ||
| Missed opportunity to blow whistle | 35.4% | False claims | 34.2% |
| Whistleblower ignored | 25.3% | Anti-Kickback | 13.9% |
| Whistleblower type | Stark law | 2.5% | |
| Patient | 16.5% | Exclusion statute | 5.1% |
| Peer/Physician colleague | 19.0% | Civil monetary penalties law | 12.7% |
| Nurse or other staff | 10.1% | Other federal fraud or abuse law | 15.2% |
| Other | 36.7% | Title 18 federal/criminal charges | 35.4% |
| None/Unknown | 17.7% | State criminal charges | 15.2% |
| Investigation | Consequencesa | ||
| Board investigation | 72.2% | Loss of licensure | 55.7% |
| Criminal investigation | 64.6% | Financial penalties | 70.9% |
| Civil proceedings | 57.0% | Prison/Probation or service | 31.6% |
| Others were found guilty | 34.2% | Mandated treatment or education | 20.3% |
| Discontinued practicing medicine | 58.2% | ||
| Loss of job/professional options | 73.4% | ||
| Increased oversight/monitoring | 30.4% | ||
aIn 2 cases the physician died prior to sentencing
Frequencies and definitions of the apparent motives
| Financial gain | Performing unnecessary procedures generated significant revenue well beyond standard medical practice. E.g., literature highlighted that the physician billed >$1 million for unnecessary spinal fusion surgeries. | 92.4% |
| Personality disorder | Literature provided evidence of 2 or more DSM-V criteria for a diagnosis of antisocial personality disorder. E.g., physician arrested for unrelated matters, continued performing unnecessary procedures after a patient death, and showed a lack of remorse. | 48.1% |
| Poor problem solving | Unnecessary procedures appeared due to poor knowledge of standards of practice or deficient clinical skills. | 11.4% |
| Ambition | Unnecessary procedures appeared motivated by career ambition, e.g., to enhance stature in the field or within the institution. | 3.8% |
| Mental illness | Literature mentioned diagnosis with a severe mental illness such as bipolar disorder, schizophrenia, or major depression, and this appeared to play a causal role in the unnecessary procedures. | 1.3% |
| Carelessness | Evidence that unnecessary procedures occurred due to carelessness rather than intentional fraud or incompetence. | 1.3% |
| Substance abuse | Substance use disorder appeared to causally contribute to the performance of unnecessary procedures, e.g., by impairing judgment or creating an increased need for cash to support addiction. | 0% |
| Stress | Significant personal stress such as bankruptcy or divorce appeared to impair decision making. | 0% |
| Retaliation | Unnecessary procedures appeared motivated by the perception that the system is unjust or in retaliation against an institution for causing personal harm. | 0% |
| None | No motive could be identified or reasonably inferred. | 2.5% |
Frequency and definitions of variables that provided opportunity
| Lack of oversighta | The environment did not afford the ordinary oversight of Centers for Medicare and Medicaid Services- or Joint Commission-mandated processes or Internal Auditing for billing. E.g., physician owned small outpatient surgery center. | 40.5% |
| Oversight failure | Oversight mechanisms existed or should have existed, but were so deficient that opportunity for unnecessary procedures was established. E.g., unnecessary procedures were performed for 5 years amidst complaints. | 39.2% |
| Corrupt moral climate | A corrupt moral climate contributed to the unnecessary procedures, e.g., institutional officials collaborated in or encouraged the procedures. This variable was not used in addition to oversight failure, but it could be a cause of a lack of oversight. | 26.6% |
| Vulnerable patients | Patients belonged to a protected class (e.g., children or older adults) or had cognitive deficits, and this appeared to create opportunity for unnecessary procedures. | 20.3% |
| Financial conflict of interest | The physician had relationship to industry (e.g., consulting contracts) and this appeared to contribute to unnecessary procedures. | 13.9% |
| Ambiguous norms | The standard of practice was not well established, and this “gray area” created opportunity for unnecessary procedures. | 5.1% |
| Other | An environmental factor, not listed above, appeared to create opportunity for unnecessary procedures. | 3.8% |
| Conflicting roles | The physician played conflicting roles, e.g., treating physician and chair of the patient care review committee, and this created opportunity for unnecessary procedures. | 0% |
| None | No environmental factor presenting opportunity could be identified or reasonably inferred. | 13.9% |
a80% (63/79) of cases involved either a lack of oversight or oversight failure, that is, some form of oversight problem
Cluster analysis results (N = 79)
| Clustering Variables | Clusters | V | n | ||||
|---|---|---|---|---|---|---|---|
| 1 ( | 2 ( | 3 ( | 4 ( | 5 ( | |||
| Traits/Motives | |||||||
| Financial gain | 100%(21) | 66.7%(6) | 100%(17) | 81.8%(9) | 95.2%(20) | .42 | 73 |
| Personality disorder | 100%(21) | 22.2%(2) | 11.8%(2) | 45.5%(5) | 38.1%(8) | .67 | 38 |
| Poor problem solving | 0% | 100%(9) | 0% | 0% | 0% | .99 | 9 |
| Ambition | 0% | 0% | 5.9%(1) | 0% | 9.5%(2) | .22 | 3 |
| Environmental factors | |||||||
| Oversight deficits | 100%(21) | 77.8%(7) | 82.4%(14) | 0% | 100%(21) | .83 | 63 |
| Corrupt moral climate | 0% | 0% | 0% | 0% | 100%(21) | .99 | 21 |
| Financial COI | 0% | 0% | 47.1%(8) | 0% | 14.3%(3) | .53 | 11 |
| Ambiguous norms | 0% | 0% | 17.6%(3) | 9.1%(1) | 0% | .33 | 4 |
| Summary of Clusters | 1 | 2 | 3 | 4 | 5 | ||
| Financial gain | H | M | H | M | H | ||
| Suspected antisocial | H | M | L | M | M | ||
| Poor problem-solving | – | H | – | – | – | ||
| Ambition | – | – | L | – | L | ||
| Oversight deficits | H | M | M | – | H | ||
| Corrupt moral climate | – | – | – | – | H | ||
| Financial COI | – | – | M | – | L | ||
| Ambiguous norms | – | – | M | L | – | ||
| Seriousness rating | 54.4 (7.9) | 51.9(8.2) | 45.6(11.7) | 50.9(7.9) | 47.9(10.8) | ||
aCramer’s V was used to test the association of these nominal variables. Values above .35 are particularly important in discriminating among clusters, which is reinforced by p-values of < .05 for those Vs; values < .35 indicate weak relationships that did not discriminate significantly
Percentage is percent of cases within the cluster. The raw number of cases representing a variable appears in parentheses
H High (84–100%), M Medium (17–83%), L Low (1–16%); − = Absent