Using a Simple Prescription Gap to Determine Warfarin Discontinuation Can Lead to Substantial Misclassification.

BACKGROUND: Warfarin remains widely used and a key comparator in studies of other direct oral anticoagulants. As longer-than-needed warfarin prescriptions are often provided to allow for dosing adjustments according to international normalized ratios (INRs), the common practice of using a short allowable gap between dispensings to define warfarin discontinuation may lead to substantial misclassification of warfarin exposure. We aimed to quantify such misclassification and determine the optimal algorithm to define warfarin discontinuation. METHODS: We linked Medicare claims data from 2007 to 2014 with a multicenter electronic health records system. The study cohort comprised patients ≥65 years with atrial fibrillation and venous thromboembolism initiating warfarin. We compared results when defining warfarin discontinuation by (1) different gaps (3, 7, 14, 30, and 60 days) between dispensings and (2) having a gap ≤60 days or bridging larger gaps if there was INR ordering at least every 42 days (60_INR). Discontinuation was considered misclassified if there was an INR ≥2 within 7 days after the discontinuation date. RESULTS: Among 3,229 patients, a shorter gap resulted in a shorter mean follow-up time (82, 95, 117, 159, 196, and 259 days for gaps of 3, 7, 14, 30, 60, and 60_INR, respectively; p < 0.001). Incorporating INR (60_INR) can reduce misclassification of warfarin discontinuation from 68 to 4% (p < 0.001). The on-treatment risk estimation of clinical endpoints varied significantly by discontinuation definitions. CONCLUSION: Using a short gap between warfarin dispensings to define discontinuation may lead to substantial misclassification, which can be improved by incorporating intervening INR codes.

Using an Ontology to Facilitate More Accurate Coding of Social Prescriptions Addressing Social Determinants of Health: Feasibility Study.

BACKGROUND: National Health Service (NHS) England supports social prescribing in order to address social determinants of health, which account for approximately 80% of all health outcomes. Nevertheless, data on ongoing social prescribing activities are lacking. Although NHS England has attempted to overcome this problem by recommending 3 standardized primary care codes, these codes do not capture the social prescribing activity to a level of granularity that would allow for fair attribution of outcomes to social prescribing. OBJECTIVE: In this study, we explored whether an alternative approach to coding social prescribing activity, specifically through a social prescribing ontology, can be used to capture the social prescriptions used in primary care in greater detail. METHODS: The social prescribing ontology, implemented according to the Web Ontology Language, was designed to cover several key concepts encompassing social determinants of health. Readv2 and Clinical Terms Version 3 codes were identified using the NHS Terms Browser. The Royal College of General Practitioners Research Surveillance Centre, a sentinel network of over 1000 primary care practices across England covering a population of more than 4,000,000 registered patients, was used for data analyses for a defined period (ie, January 2011 to December 2019). RESULTS: In all, 668 codes capturing social prescriptions addressing different social determinants of health were identified for the social prescribing ontology. For the study period, social prescribing ontology codes were used 5,504,037 times by primary care practices of the Royal College of General Practitioners Research Surveillance Centre as compared to 29,606 instances of use of social prescribing codes, including NHS England's recommended codes. CONCLUSIONS: A social prescribing ontology provides a powerful alternative to the codes currently recommended by NHS England to capture detailed social prescribing activity in England. The more detailed information thus obtained will allow for explorations about whether outputs or outcomes of care delivery can be attributed to social prescriptions, which is essential for demonstrating the overall value that social prescribing can deliver to the NHS and health care systems.

Association of Diagnostic Coding-Based Frailty and Outcomes in Patients With Heart Failure: A Report From the Veterans Affairs Health System.

Background The aim of this study was to determine whether frailty is associated with increased admission and mortality risk in the setting of heart failure. Methods and Results This retrospective cohort analysis included patients treated within the Veterans Affairs Health System who had International Classification of Diseases, Ninth Revision (ICD-9) codes for heart failure on 2 or more dates over a 2-year period. The clinical variables identifiable in claims data, such as demographic variables and markers of physical and cognitive dysfunction, were used to identify patients meeting the frailty phenotype. Of 388 785 extracted patients with coding of heart failure between 2015 and 2018, 163 085 patients (41.9%) with ejection fraction (EF) measurement were included in the present analysis (38.3% with reduced EF and 61.7% with preserved EF). There were 16 660 patients (10.2%) who were identified as frail (9.1% in heart failure with reduced EF and 10.9% in heart failure with preserved EF). Frail patients were older, more often depressed, and were likely to have been admitted in the previous year. One-year all-cause mortality rate was 9.7% and 28.1%, and admission rate was 58.1% and 79.5% for nonfrail and frail patients, respectively. Frailty was associated with mortality and admission risk compared with the nonfrail group (adjusted odds ratio [OR], 1.71; 95% CI, 1.65-1.77 for mortality; adjusted OR, 1.29; 95% CI, 1.24-1.34 for admission) independent of EF. Conclusions Frailty based on diagnostic coding was associated with particularly higher risk of mortality despite adjustment for known clinical variables. Our findings underscore the importance of nontraditional parameters in the prognostic assessment.

Coding in the World of COVID-19: Non-Face-to-Face Evaluation and Management Care.

Almost all medical care in the United States is delivered with the provider and patient in immediate proximity; this model is referred to as face-to-face care. Medical services can be apportioned as procedural care (eg, surgery, radiology, or laboratory testing and others) or cognitive care, also known as Evaluation and Management (E/M) services, in which the provider formulates an assessment and plan after obtaining information from the patient's history, examination, and diagnostic tests.Providing a medical opinion and plan using the telephone as the technology that links the provider and the patient is an example of a non-face-to-face E/M service. Common Procedural Terminology (CPT) codes and the details for how to provide telephone services have been available for decades but have not been reimbursed and therefore were rarely used. In recent years, as new technologies have evolved, there has been slow and steady acceptance that non-face-to-face E/M care can be an adjunct to or replacement for some face-to-face E/M services. These technologies and the descriptors for associated CPT and Healthcare Common Procedure Coding System (HCPCS) codes were introduced over the past few years and have become known by the generic term telehealth. They have been slowly incorporated into medical practice. Most of these services were introduced in the consumer retail market, in which the cost was borne directly by the patient, or as private contract services, in which the cost was borne by the consulting hospital, such as with telestroke services. In both the consumer retail model and private contract model, the care delivered usually did not involve CPT or HCPCS coding. The adoption of telehealth has been slow, in part because of the initial costs and several regulatory constraints, as well as the reluctance of patients, providers, and the insurance industry to change the concept that medical care could only be delivered when the patient and their provider were in physical proximity.After the COVID-19 pandemic reached the United States, the US Department of Health & Human Services issued a public health emergency and declared a Section 1135 Waiver that lifted many of the administrative constraints. With the need for near-absolute social distancing, this perfect storm has resulted in the immediate adoption of telemedicine, at least for the duration of the pandemic, for cognitive care to be delivered using communication technologies that are already in place. This article discusses the most common forms of non-face-to-face E/M care and the proper coding elements necessary to provide these services.

Improving the quality of clinical coding and payments through student doctor-coder collaboration in a tertiary haematology department.

Hospitals within the UK are paid for services provided by 'Payment-by-Results'. In a system that rewards productivity, effective collaboration between coders and clinicians is crucial. However, clinical coding is frequently error prone and has been shown to impact negatively on departmental revenue. Our aim was to increase the median number of diagnostic codes per sickle cell inpatient admission at Guy's Hospital by 3. Three interventions were implemented using the Plan, Do, Study, Act structure. This consisted of student doctors searching for diagnoses along with comorbidities that clinical coders had missed, distributing laminated cards with common clinical codes and implementing discharge pro formas. Through auditing, student doctors generated a total of £58 813 over 16 weeks. We observed an increase in the median number of codes by ≥2 additional codes. We improved coding accuracy where we identified errors in an average of 32.5% of admissions each month, improving the quality of patient documentation. We have demonstrated student doctor involvement in clinical coding as a potentially sustainable means of achieving accurate payment for services provided; increasing departmental revenue. We are the first to report the efficacy of student-coder collaboration in improving the accuracy of clinical coding.

Coding and Legal Issues in Obstetric and Gynecologic Ultrasound.

This article addresses coding and liability related to obstetric and gynecologic ultrasound examinations. The coding section includes an overview of general concepts, highlighting the differences between coding in hospital-owned facilities and provider-owned clinics. It also addresses the importance of correct International Classification of Diseases, 10th edition, coding, emphasizing the use of the most specific applicable codes. This section discusses proper coding and applicable parameters for early pregnancy and gynecologic ultrasound examination. The liability section addresses common errors leading to litigation in obstetric and gynecologic ultrasound practice. Examples are given demonstrating how such errors lead to liability actions.

Assessment of obesity prevalence and validity of obesity diagnoses coded in claims data for selected surgical populations: A retrospective, observational study.

In many types of surgery, obesity may influence patient selection, prognosis, and/or management. Quantifying the accuracy of the coding of obesity and other prognostic factors is important for the design and interpretation of studies of surgical outcomes based on administrative healthcare data. This study assessed the validity of obesity diagnoses recorded in insurance claims data in selected surgical populations.This was a retrospective, observational study. Deidentified electronic health record (EHR) and linked administrative claims data were obtained for US patients age ≥20 years who underwent a qualifying surgical procedure (bariatric surgery, total knee arthroplasty [TKA], cardiac ablation, or hernia repair) in 2014Q1-2017Q1 (first = index). Patients' body mass index (BMI) as coded in the claims data (error-prone measure) during the index procedure or 180d pre-index was compared with their measured BMI as recorded in the EHR (criterion standard) to estimate the sensitivity and positive predictive value (PPV) of obesity diagnosis codes.Among patients who underwent bariatric surgery (N = 1422), TKA (N = 8670), cardiac ablation (N = 167), or hernia repair (N = 5450), obesity was present in 98%, 63%, 52%, and 54%, respectively, based on measured BMI. PPVs of obesity diagnosis codes were high: 99.3%, 96.0%, 92.8%, and 94.1% in bariatric surgery, TKA, cardiac ablation, and hernia repair, respectively. The sensitivity of obesity diagnoses was: 99.8%, 46.2%, 41.3%, and 42.3% in bariatric surgery, TKA, cardiac ablation, and hernia repair, respectively. Among false-positive patients diagnosed as obese but with measured BMI <30, the proportion with a BMI ≥28 was 40.0%, 67.6%, 60.7%, and 65.8% for bariatric surgery, TKA, cardiac ablation, and hernia repair, respectively.Our data indicate that obesity is highly prevalent in many surgical populations, obesity diagnosis codes have high PPVs, but also obesity is generally undercoded in claims data. Quantifying the validity of diagnosis codes for obesity and other important prognostic factors is important for the design and interpretation of studies of surgical outcomes based on administrative data. Further research is needed to determine the extent to which undercoding of BMI and obesity can be addressed through the use of proxies that may be better documented in claims data.

Decreases In Readmissions Credited To Medicare's Program To Reduce Hospital Readmissions Have Been Overstated.

Medicare's Hospital Readmissions Reduction Program (HRRP) has been credited with lowering risk-adjusted readmission rates for targeted conditions at general acute care hospitals. However, these reductions appear to be illusory or overstated. This is because a concurrent change in electronic transaction standards allowed hospitals to document a larger number of diagnoses per claim, which had the effect of reducing risk-adjusted patient readmission rates. Prior studies of the HRRP relied upon control groups' having lower baseline readmission rates, which could falsely create the appearance that readmission rates are changing more in the treatment than in the control group. Accounting for the revised standards reduced the decline in risk-adjusted readmission rates for targeted conditions by 48 percent. After further adjusting for differences in pre-HRRP readmission rates across samples, we found that declines for targeted conditions at general acute care hospitals were statistically indistinguishable from declines in two control samples. Either the HRRP had no effect on readmissions, or it led to a systemwide reduction in readmissions that was roughly half as large as prior estimates have suggested.

Real-time management of incident learning reports in a radiation oncology department.

PURPOSE: The optimal approach to managing incident learning system (ILS) reports remains unclear. Here, we describe our experience with prospective coding of events reported to the ILS with comparisons of risk scores on the basis of event type and process map location. METHODS AND MATERIALS: Reported events were coded by type, origin, and method of discovery. Events were given a risk priority number (RPN) and near-miss risk index (NMRI) score. We compared workflow versus near-miss events with respect to origin and detection in the process map and by risk scores. A χ2 test was used to compare the differences between workflow and near-miss events. A comparison of RPN scores was done by independent t test. RESULTS: During 2016, 1351 events were reported. Of these events, 1300 (96.2%) were workflow and 51 (3.8%) near-miss events. Workflow events were more likely to both originate (1041 of 1300 events; 81.2%) compared with near-miss events (31 of 51 events; 62.7%; P = .005) and be detected in pre-treatment (997 of 1300 events; 76.7%) compared with near-miss events (24 of 51 events; 47%; P < .001). Average occurrence (scale: 1-10) was 6.14 for workflow versus 3.33 for near-miss events (P < .001), average severity was 2.94 versus 7.35 (P < .001), and average detectability was 1.33 versus 4.67 (P < .001). Mean overall RPN was 22.4 for workflow versus 108.4 for near-miss events (P = .07) and mean NMRI was 1.16 versus 3.19, respectively. Events that originated and were detected in treatment delivery had the greatest mean overall RPN (38.2 and 32.1, respectively) and NMRI scores (1.62 and 1.6, respectively). CONCLUSIONS: Our experience demonstrates that workflow event reports are far more common than near-misses and that near-miss events are more likely to both originate and be discovered in later treatment phases. The frequency of workflow reports highlights the imperative need for safety and operational teams to work collaboratively to maximize the benefit of ILS. We suggest a potential utility of the RPN system to guide mitigation strategies for future near-miss events.

A National Survey of Medical Coding and Billing Training in United States Dermatology Residency Programs.

BACKGROUND: Due to frequent changes in medical coding systems, billing for outpatient visits through Evaluation and Management (E & M) services has become increasingly complicated. As a result, physicians often bill improperly, costing the United States health care system billions of dollars annually. Despite the importance of proper documentation, medical coding and billing is largely ignored during residency training. OBJECTIVE: Assess the exposure to and quality of medical coding and billing training in dermatology residency programs. METHODS: A questionnaire was distributed to dermatology programs in the United States consisting of questions pertaining to didactic education for, experience with, and resident knowledge of medical coding and billing. RESULTS: 138/443 dermatology residents participated (31.2% response rate). 79% of residents reported receiving some type of formal training. Nearly 89% reported personally billing patient visits to some degree, with 41.3% billing for 100% of outpatient visits. Over 75% of residents were able to answer basic billing questions and 70% correctly billed a patient visit when given a complex clinical scenario. Despite these results, only 37% of residents reported feeling confident in their billing abilities. Lastly, 94.9% of respondents believed medical coding and billing should be integrated into dermatology training curriculums. CONCLUSIONS: The majority of dermatology residents have opportunities to learn medical coding and billing through didactics and clinical experiences. Many residents were able to answer correctly questions that tested their basic knowledge of E&M coding. These results are encouraging and reflect the recognition of the importance of medical coding and billing training during residency. J Drugs Dermatol. 2018;17(6):678-682.

Coding for Behavioral Neurology and Psychiatry.

Medical coding is highly technical, and proper use of both Current Procedural Terminology (CPT) and the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) is difficult because of the considerable detail of the code definitions, the changes implemented yearly, and the vast change a few years ago with the transition to ICD-10-CM. Although basic office visit and hospital visit Evaluation and Management (E/M) codes have not changed in decades, new cognitive care codes have been added to the cognitive codes that fall under E/M. Accuracy in documentation is essential as the basis for precision in coding, which will result in both best practice and proper payment from payers.

The impact of three discharge coding methods on the accuracy of diagnostic coding and hospital reimbursement for inpatient medical care.

BACKGROUND: Coding of diagnoses is important for patient care, hospital management and research. However coding accuracy is often poor and may reflect methods of coding. This study investigates the impact of three alternative coding methods on the inaccuracy of diagnosis codes and hospital reimbursement. METHODS: Comparisons of coding inaccuracy were made between a list of coded diagnoses obtained by a coder using (i)the discharge summary alone, (ii)case notes and discharge summary, and (iii)discharge summary with the addition of medical input. For each method, inaccuracy was determined for the primary, secondary diagnoses, Healthcare Resource Group (HRG) and estimated hospital reimbursement. These data were then compared with a gold standard derived by a consultant and coder. RESULTS: 107 consecutive patient discharges were analysed. Inaccuracy of diagnosis codes was highest when a coder used the discharge summary alone, and decreased significantly when the coder used the case notes (70% vs 58% respectively, p < 0.0001) or coded from the discharge summary with medical support (70% vs 60% respectively, p < 0.0001). When compared with the gold standard, the percentage of incorrect HRGs was 42% for discharge summary alone, 31% for coding with case notes, and 35% for coding with medical support. The three coding methods resulted in an annual estimated loss of hospital remuneration of between £1.8 M and £16.5 M. CONCLUSION: The accuracy of diagnosis codes and percentage of correct HRGs improved when coders used either case notes or medical support in addition to the discharge summary. Further emphasis needs to be placed on improving the standard of information recorded in discharge summaries.

The effect of template-based sequential (TBS) coding on an NHS plastic surgical practice.

INTRODUCTION: Clinical coding is often a mystery to us surgeons, but in actuality, it has a huge bearing on the financial sustainability of our services. Given the rapid innovations in plastic surgical procedures, clinical coders often struggle to decipher the extent of surgery. Meeting midway is the way forward here. METHODS: In a prospective audit over a six-month period, we analysed data from 2586 patients in our practice: a combination of general plastic surgery and specialist facial reanimation services. This involved comparing data from the first three months where coding was performed by clinical coders based on operating notes per se (phase I) and the subsequent three months when the operating surgeon filled in the OPCS 4.7 (version 2014) codes at the time of completing the operating notes; the clinical coders then vetted this information (phase II) as part of a sequential TBS coding system. RESULTS: In terms of outpatient income, there was a 3% increase in facial palsy income and 6% increase in general plastic services, but the most significant improvement was in terms of procedural income per case. General plastic surgery cases saw an increase of 49%, while facial palsy income increased by 58% over the same period. Greater insight into OPCS and HRG codes also allowed for the calculation of the actual tariffs for specific procedures. CONCLUSIONS: Having the operating surgeon as the primary coder, using a template, with subsequent vetting by the clinical coders, improves data capture, and this in turn increases income. Future recommendations include the use of proforma-based operating notes for workhorse procedures.

Codability of industry and occupation information from cancer registry records: Differences by patient demographics, casefinding source, payor, and cancer type.

INTRODUCTION: Industry and occupation (I&O) information collected by cancer registries is useful for assessing associations among jobs and malignancies. However, systematic differences in I&O availability can bias findings. METHODS: Codability by patient demographics, payor, identifying (casefinding) source, and cancer site was assessed using I&O text from first primaries diagnosed 2011-2012 and reported to California Cancer Registry. I&O were coded to a U.S. Census code or classified as blank/inadequate/unknown, retired, or not working for pay. RESULTS: Industry was codable for 37% of cases; 50% had "unknown" and 9% "retired" instead of usual industry. Cases initially reported by hospitals, covered by preferred providers, or with known occupational etiology had highest codable industry; cases from private pathology laboratories, with Medicaid, or diagnosed in outpatient settings had least. Occupation results were similar. CONCLUSIONS: Recording usual I&O for retirees and improving linkages for reporting entities without patient access would improve I&O codability and research validity.

The History and Impact of Molecular Coding Changes on Coverage and Reimbursement of Molecular Diagnostic Tests: Transition from Stacking Codes to the Current Molecular Code Set Including Genomic Sequencing Procedures.

Changes in coding and coverage generate an uncertain reimbursement environment for molecular pathology laboratories. We analyzed our experience with two representative molecular oncology tests: a T-cell receptor (TCR) ß rearrangement test and a large (467-gene) cancer next-generation sequencing panel, the Columbia Combined Cancer Panel (CCCP). Before 2013, the TCR ß test was coded using stacked current procedural terminology codes and subsequently transitioned to a tier 1 code. CCCP was coded using a combination of tier 1 and 2 codes until 2015, when a new Genomic Sequencing Procedure code was adopted. A decrease in reimbursement of 61% was observed for the TCR ß test on moving from stacking to tier 1 codes. No initial increase in total rejection rate was observed, but a subsequent increase in rejection rates in 2015 and 2016 was noted. The CCCP test showed a similar decrease (48%) in reimbursement after adoption of the new Genomic Sequencing Procedure code and was accompanied by a sharp increase in rejection rates both on implementation of the new code and over time. Changes in coding can result in substantial decreases in reimbursement. This may be a barrier to patient access because of the high cost of molecular diagnostics. Revisions to the molecular code set will continue. These findings help laboratories and manufacturers prepare for the financial impact and advocate appropriately.