Effects of health guidance on outpatient and pharmacy expenditures: a disease- and drug-specific 3-year observational study using propensity-score matching

Effectiveness of Screening and Brief Alcohol Intervention at the Workplace: A Study Protocol for a Randomized Controlled Trial at Five Japan-Based Companies

Background

Despite evidence regarding the effectiveness of screening and brief interventions for excessive alcohol use in primary care, these tools are not a part of routine practice. It has been suggested that using these tools at the workplace may be critical to alcohol-associated harm; however, evidence for this claim is unclear. The aim of this article is to develop a study protocol which evaluates the effect of brief alcohol intervention at the workplace to reduce harmful alcohol drinking.

Methods

A randomized controlled trial involving employees (aged 20-74 years) of five Japan-based companies who were screened "positive" by Alcohol Use Disorder Identification Test (AUDIT) is on-going. Participants were randomized into "Patient Information Leaflet" (control group), "Brief Advice and Counselling," and "Five-minute Brief Advice" groups. A self-administered questionnaire was used to assess alcohol consumption, lifestyle behavior, health status, work performance, and consequences of alcohol use. Data of laboratory markers were collected from routine health checkups.

Results

A total of 351 participants were randomized into Patient Information Leaflet (n = 111), Brief Advice and Counselling (n = 128), and Five-minute Brief Advice (n = 112) groups. Participants were mostly men with a median age of 49 years. Median AUDIT score and weekly alcohol consumption were 11 points and 238 g/week, respectively. Two-thirds of the participants were manufacturing workers.

Conclusion

This study protocol developed the first trial in Japan to investigate the effect of brief alcohol intervention combined with a recommended screening tool at the workplace. Our findings can provide evidence on the effectiveness and relevance of these tools to occupational health.

Participation rate determines completion rate for specific health guidance as implemented by public health insurers

Completion rate for specific health guidance (SHG) based on specific health checkup (SHC) status in Japan is very low. This study aimed to clarify factors affecting the rate using questionnaire survey, which was conducted by mail between December 2016 and January 2017 for insurers in the Tokai Region of Japan. The subjects were 69 insurers and the collection rate was 25.1%. The SHG participation rate was 26.3%, and the SHG completion rate was even lower (23.6%) than the participation rate. The rate was significantly lower in dependents than in insured persons. Multiple regression analysis with SHG completion rate as the dependent variable indicated that only "participation rate in SHG" was positively related to completion rate. With SHG participation rate as the dependent variable, however, having an insurer who "implemented SHG," "provided a thorough explanation to the subscribers of the objectives and significance of SHC and SHG when the programs were begun," and "provided health guidance to non-obese individuals" and SHC implementation rate were positively correlated with participation rate. Multiple regression analysis using completion rates for the two types of SHG, i.e., motivational and active support, as the dependent variables indicated that SHG participation rate was a positive factor for each type. Participation rate in each type was positively correlated to "ex-post assessment of the SHG," and/or insured persons. The primary factor affecting SHG completion rates was the SHG participation rate. It is also important, however, that insurers encourage participation of subscribers, especially dependents, in SHG.

Influence of Specific Health Guidance on the Consultation Rate of Metabolic-Related Diseases

In Japan, national health expenditure is increasing each year. In particular, medical care costs for the elderly is growing at the rate of about 9% annually alongside the rapid increase of the aging population. In Japan, the specific health checkup and specific health guidance were implemented in 2008 to reduce medical costs in the medium to long term by preventing metabolic syndrome. To evaluate the influence of Specific Health Guidance on medical costs for metabolic-related or other diseases, we conducted propensity score matching and compared between those who received the Health Guidance and those who did not. The two groups were extracted from those with zero outpatient medical expenses for the five months prior to the checkup. The following were selected as variables for matching: gender, age, BMI, abdominal circumference, systolic blood pressure, HbA1c, total cholesterol, urinary protein, smoking/nonsmoking, hoping/not hoping for Health Guidance, and willing/not willing to improve one’s lifestyle habits. Finally, 50 one-to-one matches were performed between the intervention and control groups. The results of the Tobit regression analysis showed that Health Guidance significantly lowered metabolic-related medical expenses for the 26 months. However, for other diseases, no significant difference for medical expenses was evident between the two groups. The consultation rate of the intervention group after 12 months was 28% and 46% for the control group. The results suggest that the Specific Health Guidance in Japan reduced outpatient consultation for metabolic-related diseases.

Willingness to participate in accountable care organizations: health care managers' perspective

This study examines how health care managers responded to the accountable care organization (ACO). The effect of perceived benefits and barriers of the commitment to develop a strategic plan for ACOs and willingness to participate in ACOs is analyzed, using organizational social capital, health information technology uses, health systems integration and size of the health networks, geographic factors, and knowledge about ACOs as predictors. Propensity score matching and analysis are used to adjust the state and regional variations. When the number of perceived benefits is greater than the number of perceived barriers, health care managers are more likely to reveal a stronger commitment to develop a strategic plan for ACO adoption. Health care managers who perceived their organizations as lacking leadership support or commitment, financial incentives, and legal and regulatory support to ACO adoption were less willing to participate in ACOs in the future. Future research should gather more diverse views from a larger sample size of health professionals regarding ACO participation. The perspective of health care managers should be seriously considered in the adoption of an innovative health care delivery system. The transparency on policy formulation should consider multiple views of health care managers.

Assessment of text documentation accompanying uncoded diagnoses in computerized health insurance claims in Japan

Background

Uncoded diagnoses in health insurance claims (HICs) may introduce bias into Japanese health statistics dependent on computerized HICs. This study’s aim was to identify the causes and characteristics of uncoded diagnoses.

Methods

Uncoded diagnoses from computerized HICs (outpatient, inpatient, and the diagnosis procedure-combination per-diem payment system [DPC/PDPS]) submitted to the National Health Insurance Organization of Kumamoto Prefecture in May 2010 were analyzed. The text documentation accompanying the uncoded diagnoses was used to classify diagnoses in accordance with the International Classification of Diseases-10 (ICD-10). The text documentation was also classified into four categories using the standard descriptions of diagnoses defined in the master files of the computerized HIC system: 1) standard descriptions of diagnoses, 2) standard descriptions with a modifier, 3) non-standard descriptions of diagnoses, and 4) unclassifiable text documentation. Using these classifications, the proportions of uncoded diagnoses by ICD-10 disease category were calculated.

Results

Of the uncoded diagnoses analyzed (n = 363 753), non-standard descriptions of diagnoses for outpatient, inpatient, and DPC/PDPS HICs comprised 12.1%, 14.6%, and 1.0% of uncoded diagnoses, respectively. The proportion of uncoded diagnoses with standard descriptions with a modifier for Diseases of the eye and adnexa was significantly higher than the overall proportion of uncoded diagnoses among every HIC type.

Conclusions

The pattern of uncoded diagnoses differed by HIC type and disease category. Evaluating the proportion of uncoded diagnoses in all medical facilities and developing effective coding methods for diagnoses with modifiers, prefixes, and suffixes should reduce number of uncoded diagnoses in computerized HICs and improve the quality of HIC databases.

The proportion of uncoded diagnoses in computerized health insurance claims in Japan in May 2010 according to ICD-10 disease categories

Background

Uncoded diagnoses in computerized health insurance claims are excluded from statistical summaries of health-related risks and other factors. The effects of these uncoded diagnoses, coded according to ICD-10 disease categories, have not been investigated to date in Japan.

Methods

I obtained all computerized health insurance claims (outpatient medical care, inpatient medical care, and diagnosis procedure-combination per-diem payment system [DPC/PDPS] claims) submitted to the National Health Insurance Organization of Kumamoto Prefecture in May 2010. These were classified according to the disease categories of the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10). I used accompanying text documentation related to the uncoded diagnoses to classify these diagnoses. Using these classifications, I calculated the proportion of uncoded diagnoses by ICD-10 category.

Results

The number of analyzed diagnoses was 3 804 246, with uncoded diagnoses accounting for 9.6% of the total. The proportion of uncoded diagnoses in claims for outpatient medical care, inpatient medical care, and DPC/PDPS were 9.3%, 10.9%, and 14.2%, respectively. Among the diagnoses, Congenital malformations, deformations, and chromosomal abnormalities had the highest proportion of uncoded diagnoses (19.3%), and Diseases of the respiratory system had the lowest proportion of uncoded diagnoses (4.7%).

Conclusions

The proportion of uncoded diagnoses differed by the type of health insurance claim and disease category. These findings indicate that Japanese health statistics computed using computerized health insurance claims might be biased by the exclusion of uncoded diagnoses.