A dissertation presented to the Faculty of Health, Durban University of Technology, for the Masters Degree in Technology: Chiropractic, 2009. / Background: The International Classification of Diseases (ICD) provides codes to classify diseases in such a manner, that every health condition is assigned to a unique category. Some of the most common diagnoses made by chiropractors are not included in the ICD-10 coding system, as it is mainly medically orientated and does not accommodate these diagnoses. This can potentially lead to reimbursement problems for chiropractors in future and create confusion for medical aid schemes as to what conditions chiropractors actually diagnose and treat. Aim: To determine the level of compliancy of chiropractors, in South Africa, to the ICD-10 coding procedure and the factors that may influence the use of correct ICD-10 codes. As well as to determine whether the ICD-10 diagnoses chiropractors commonly submit to the medical aid schemes, reflect the actual diagnoses made in practice. Method: The study was a retrospective survey of a quantitative nature. A self-administered questionnaire was e-mailed and posted to 380 chiropractors, practicing in South Africa. The electronic questionnaires were sent out four times at two week intervals for the duration of eight weeks; and the postal questionnaires sent once. A response rate of 16.5% (n = 63) was achieved. Raw data was received from the divisional manager of the coding unit of Discovery Health (Pty) Ltd. in the form of an excel spreadsheet containing the most common ICD-10 diagnoses made by chiropractors in South Africa, for the period June 2006 to July 2007, who had submitted claims to the Medical Scheme. The spreadsheet also contained depersonalised compliance statistics of chiropractors to the ICD-10 system from July 2006 to October 2008. SPSS version 15 was used for descriptive statistical data analysis (SPSS Inc., Chicago, Ill, USA). Results: The age range of the 63 participants who responded to the questionnaire was 26 to 79 years, with an average of 41 years. The majority of the participants were male (74.6%, n = 47). KwaZulu-Natal had 25 participants (39.6%), Gauteng 17 (26.9%), Western Cape 12 (19%), Eastern Cape four (6.3%), Free State and Mpumalanga two (3.1%) each and North West one (1.5%). The mean knowledge score for ICD-10 coding was 43.5%, suggesting a relatively low level of knowledge. The total percentage of mistakes for electronic claims was higher for both the primary and unlisted claims (3.93% and 2.18%), than for manual claims iv (1.57% and 1.59%). The total percentage of mistakes was low but increased marginally each year for both primary claims (1.43% in 2006; 1.99% in 2007; 2.33% in 2008) and unlisted claims (0% in 2006; 2.61% in 2007; 3.07% in 2008). CASA members were more likely to be aware of assistance offered, in terms of ICD-10 coding through the medical schemes and the association (p = 0.131), than non-members. There was a non-significant trend towards participants who had been on an ICD-10 coding course (47.6%; n = 30), having a greater knowledge of the ICD-10 coding procedures (p = 0.147). Their knowledge was almost 10% higher than those who had not been on a course (52.4%; n = 33). Most participants (38.1%; n = 24) did not use additional cause codes when treating cases of musculoskeletal trauma, nor did they use multiple codes (38.7%; n = 24) when treating more than one condition in the same patient. Nearly 70% of participants (n = 44) used the M99 code in order to code for vertebral subluxation and the majority (79.4%; n = 50) believed the definition of subluxation used in ICD-10 coding to be the same as that which chiropractors use to define subluxation. According to the medical aid data, the top five diagnoses made by chiropractors from 2006 to 2007 were: Low back pain, lumbar region, M54.56 (8996 claims); Cervicalgia, M54.22 (6390 claims); Subluxation complex, cervical region, M99.11 (2895 claims); Other dorsalgia, multiple sites in spine, M54.80 (1524 claims) and Subluxation complex, sacral region, M99.14 (1293 claims). According to the questionnaire data, the top five diagnoses (Table 4.24) were: Lumbar facet syndrome, M54.56 (25%); Lumbar facet syndrome, M99.13 (23.3%); Cervical facet syndrome, M99.11 (21.7%); Cervicogenic headache, G44.2 (20%) and Cervicalgia, M54.22 (20%). Conclusion: The sample of South African chiropractors were fairly compliant to the ICD-10 coding system. Although the two sets of data (i.e. from the medical aid scheme and the questionnaire) regarding the diagnoses that chiropractors make on a daily basis correlate well with each other, there is no consensus in the profession as to which codes to use for chiropractic specific diagnoses. These chiropractic specific diagnoses (e.g. facet syndrome) are however, the most common diagnoses made by chiropractors in private practice. Many respondents indicated that because of this they sometimes use codes that they know will not be rejected, even if it is the incorrect code. For more complicated codes, the majority of respondents indicated that they did not know how to or were not interested in submitting the correct codes to comply with the level of specificity required by the medical aid schemes. The challenge is to make practitioners aware of the advantages of correct coding for the profession.

A dissertation presented to the Faculty of Health, Durban University of Technology, for the Masters Degree in Technology: Chiropractic, 2009. / Background: The International Classification of Diseases (ICD) provides codes to classify diseases in such a manner, that every health condition is assigned to a unique category. Some of the most common diagnoses made by chiropractors are not included in the ICD-10 coding system, as it is mainly medically orientated and does not accommodate these diagnoses. This can potentially lead to reimbursement problems for chiropractors in future and create confusion for medical aid schemes as to what conditions chiropractors actually diagnose and treat. Aim: To determine the level of compliancy of chiropractors, in South Africa, to the ICD-10 coding procedure and the factors that may influence the use of correct ICD-10 codes. As well as to determine whether the ICD-10 diagnoses chiropractors commonly submit to the medical aid schemes, reflect the actual diagnoses made in practice. Method: The study was a retrospective survey of a quantitative nature. A self-administered questionnaire was e-mailed and posted to 380 chiropractors, practicing in South Africa. The electronic questionnaires were sent out four times at two week intervals for the duration of eight weeks; and the postal questionnaires sent once. A response rate of 16.5% (n = 63) was achieved. Raw data was received from the divisional manager of the coding unit of Discovery Health (Pty) Ltd. in the form of an excel spreadsheet containing the most common ICD-10 diagnoses made by chiropractors in South Africa, for the period June 2006 to July 2007, who had submitted claims to the Medical Scheme. The spreadsheet also contained depersonalised compliance statistics of chiropractors to the ICD-10 system from July 2006 to October 2008. SPSS version 15 was used for descriptive statistical data analysis (SPSS Inc., Chicago, Ill, USA). Results: The age range of the 63 participants who responded to the questionnaire was 26 to 79 years, with an average of 41 years. The majority of the participants were male (74.6%, n = 47). KwaZulu-Natal had 25 participants (39.6%), Gauteng 17 (26.9%), Western Cape 12 (19%), Eastern Cape four (6.3%), Free State and Mpumalanga two (3.1%) each and North West one (1.5%). The mean knowledge score for ICD-10 coding was 43.5%, suggesting a relatively low level of knowledge. The total percentage of mistakes for electronic claims was higher for both the primary and unlisted claims (3.93% and 2.18%), than for manual claims iv (1.57% and 1.59%). The total percentage of mistakes was low but increased marginally each year for both primary claims (1.43% in 2006; 1.99% in 2007; 2.33% in 2008) and unlisted claims (0% in 2006; 2.61% in 2007; 3.07% in 2008). CASA members were more likely to be aware of assistance offered, in terms of ICD-10 coding through the medical schemes and the association (p = 0.131), than non-members. There was a non-significant trend towards participants who had been on an ICD-10 coding course (47.6%; n = 30), having a greater knowledge of the ICD-10 coding procedures (p = 0.147). Their knowledge was almost 10% higher than those who had not been on a course (52.4%; n = 33). Most participants (38.1%; n = 24) did not use additional cause codes when treating cases of musculoskeletal trauma, nor did they use multiple codes (38.7%; n = 24) when treating more than one condition in the same patient. Nearly 70% of participants (n = 44) used the M99 code in order to code for vertebral subluxation and the majority (79.4%; n = 50) believed the definition of subluxation used in ICD-10 coding to be the same as that which chiropractors use to define subluxation. According to the medical aid data, the top five diagnoses made by chiropractors from 2006 to 2007 were: Low back pain, lumbar region, M54.56 (8996 claims); Cervicalgia, M54.22 (6390 claims); Subluxation complex, cervical region, M99.11 (2895 claims); Other dorsalgia, multiple sites in spine, M54.80 (1524 claims) and Subluxation complex, sacral region, M99.14 (1293 claims). According to the questionnaire data, the top five diagnoses (Table 4.24) were: Lumbar facet syndrome, M54.56 (25%); Lumbar facet syndrome, M99.13 (23.3%); Cervical facet syndrome, M99.11 (21.7%); Cervicogenic headache, G44.2 (20%) and Cervicalgia, M54.22 (20%). Conclusion: The sample of South African chiropractors were fairly compliant to the ICD-10 coding system. Although the two sets of data (i.e. from the medical aid scheme and the questionnaire) regarding the diagnoses that chiropractors make on a daily basis correlate well with each other, there is no consensus in the profession as to which codes to use for chiropractic specific diagnoses. These chiropractic specific diagnoses (e.g. facet syndrome) are however, the most common diagnoses made by chiropractors in private practice. Many respondents indicated that because of this they sometimes use codes that they know will not be rejected, even if it is the incorrect code. For more complicated codes, the majority of respondents indicated that they did not know how to or were not interested in submitting the correct codes to comply with the level of specificity required by the medical aid schemes. The challenge is to make practitioners aware of the advantages of correct coding for the profession.

This thesis deals with the enforcement of claims coming from public health insurance by VZP ČR. The work is divided into theoretical and practical part. The theoretical part describes the reasons for the claims on public health insurance, their findings through the administrative procedure and the legal possibilities of enforcement. It also contains a description of the bankruptcy and criminal proceedings. In the practical part is an analysis of enforcement of claims by VZP ČR from 2012 to 2015. The work also includes the definition of the organizational structure of the VZP ČR. In the final part of the thesis we identified shortcomings in the current working with claims by the VZP ČR.

京都大学 / 新制・課程博士 / 博士(医学) / 甲第23758号 / 医博第4804号 / 新制||医||1056(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 今中 雄一, 教授 川上 浩司, 教授 小濱 和貴 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

京都大学 / 0048 / 新制・論文博士 / 博士(医学) / 乙第13363号 / 論医博第2205号 / 新制||医||1045(附属図書館) / (主査)教授 妹尾 浩, 教授 今中 雄一, 教授 川上 浩司 / 学位規則第4条第2項該当 / Doctor of Medical Science / Kyoto University / DFAM

The purpose of this study was to explore, from readily available data, the best predictors of medical claims costs at Ball State University (BSU). Multiple regression equations were developed to predict BSU's medical claims costs from selected demographic and health-related measures among 1,799 BSU employees. The predictors were chosen from data previously collected during the three-year study period: July 1, 1995 to June 30, 1998. Regression equations were developed for the entire BSU population and the high-cost population. The linear composite of number of emergency room visits, number of chronic health problems, gender and age predicted 17.86% of the variation in transformed medical claims costs for the entire BSU population. The linear composite of age, number of emergency room visits and gender predicted 9.95% of the variation in transformed medical claims costs for high-cost BSU employees. Logistic regression, performed on the entire BSU population, did not differentiate low and highcost employees well: only 15.0% of high-cost employees were classified correctly. / Fisher Institute for Wellness

Le coût des biomédicaments impacte lourdement le fardeau financier déjà important imposé par la polyarthrite rhumatoïde (PR) à la société. Le but de ce travail était de rechercher les motivations de la prescription des médicaments biosimilaires en rhumatologie, tout particulièrement pour prendre en charge les patients atteints de PR. Les travaux effectués ont permis d’estimer les économies annuelles réalisables en France avec le médicament biosimilaire de l’infliximab à 13,6 millions d’EUR, pour la seule prise en charge de la PR. Par ailleurs, une enquête menée auprès des rhumatologues et pharmaciens a permis d’identifier les principaux enjeux liés à l’utilisation de ces médicaments. Enfin, le suivi de leur utilisation en région Grand Est entre 2015 et 2016 rend compte de leur utilisation encore modeste. La mise sur le marché régulière de médicaments biosimilaires, combinée à l’expérience croissante des acteurs et aux dispositifs d’incitation mis en place, devraient permettre de faire progresser la part d’utilisation de ces médicaments dans les prochaines années, et de s’assurer qu’ils tiennent bien leurs engagements sur le plan des économies réalisées. / Biological drugs are associated with high procurement costs and heavily impact the financial burden imposed by rheumatoid arthritis on society. The purpose of this work was to investigate the benefits of using biosimilar drugs in rheumatoid arthritis patients. This work showed the introduction of biosimilar infliximab could lead to substantial annual cost savings of up to €13.6 million nationally, to treat rheumatoid arthritis patients only. Moreover, a biosimilar survey involving rheumatologists and pharmacists allowed us to identify the main issues at stake. Finally, the monitoring of their use in Grand Est region between 2015 and 2016 account for their relatively low utilization rate. The regular launch of new biosimilar medicines, together with growing experience of healthcare players and incentive policies, should allow to increase biosimilar uptake in the future, and also to make sure they meet well their commitments in terms of savings generated.