Impact of ICD-9-CM to ICD-10-CM coding transition on trauma hospitalization trends among young adults in 12 states

Abstract Background We aimed to estimate the impact of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding transition on traumatic injury-related hospitalization trends among young adults across a geographically and demographically diverse group of U.S. states. Methods Interrupted time series analyses were conducted using statewide inpatient databases from 12 states and including traumatic injury-related hospitalizations in adults aged 19–44 years in 2011–2017. Segmented regression models were used to estimate the impact of the October 2015 coding transition on external cause of injury (ECOI) completeness (percentage of hospitalizations with a documented ECOI code) and on population-level rates of injury-related hospitalizations by nature, intent, mechanism, and severity of injury. Results The transition to ICD-10-CM was associated with a drop in ECOI completion in the transition month (− 3.7%; P < .0001), but there was no significant change in the positive trend in ECOI completion from the pre- to post-transition periods. There were significant increases post-transition in the measured rates of hospitalization for traumatic brain injury (TBI), unintentional injury, mild injury (injury severity score (ISS) < 9), and injuries caused by drowning, firearms, machinery, other pedestrian, suffocation, and unspecified mechanism. Conversely, there were significant decreases in October 2015 in the rates of hospitalization for assault, injuries of undetermined intent, injuries of moderate severity (ISS 9–15), and injuries caused by fire/burn, other pedal cyclist, other transportation, natural/environmental, and other specified mechanism. A significant increase in the percentage of hospitalizations classified as resulting from severe injury (ISS > 15) was observed when the general equivalence mapping maximum severity method for converting ICD-10-CM codes to ICD-9-CM codes was used. State-specific results for the outcomes of ECOI completion and TBI-related hospitalization rates are provided in an online supplement. Conclusions The U.S. transition from ICD-9-CM to ICD-10-CM coding led to a significant decrease in ECOI completion and several significant changes in measured rates of injury-related hospitalizations by injury intent, mechanism, nature, and severity. The results of this study can inform the design and analysis of future traumatic injury-related health services research studies that use both ICD-9-CM and ICD-10-CM coded data. Level of evidence II (Interrupted Time Series)

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Influence of Government Price Regulation on the Price, Volume and Spending of Antibiotics in China: A Controlled Interrupted Time Series Study

International Journal of Health Policy and Management ◽

10.34172/ijhpm.2020.113 ◽

2020 ◽

Author(s):

Haishaerjiang Wushouer ◽

Zhenhuan Luo ◽

Xiaodong Guan ◽

Luwen Shi

Keyword(s):

Time Series ◽

Interrupted Time Series ◽

Price Regulation ◽

Chinese Government ◽

Positive Trend ◽

Daily Cost ◽

Average Hospital ◽

Intervention Point ◽

The Impact ◽

Average Daily Cost

Background: Chinese government established maximum retail prices for antibiotics listed in China’s National Reimbursement List in February 2013. This study aimed to analyze the impact of pharmaceutical price regulation on the price, volume and spending of antibiotics in China. Methods: An interrupted time series design with comparison series was used to examine impacts of the policy changes on average daily cost, monthly hospital purchase volume and spending of the 11 price-regulated antibiotics and 40 priceunregulated antibiotics in 699 hospitals. One intervention point was applied to assess the impact of policy. Results: After government price regulation, compared to price-unregulated antibiotics, the average daily cost of the price-regulated group declined rapidly (β=-5.68, P<.001). The average hospital monthly purchase spending of priceregulated antibiotics also decreased rapidly (β=-0.49, P<.010) and a positive trend change (β=0.04, P<.001) in average hospital spending of price-unregulated antibiotics was found. Conclusion: Government regulation can reduce the prices and spending of price-regulated antibiotics. To control increasing expenditure, besides price caps regulation, factors determining drug utilization also need to be considered in policy designing.

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The effect of lockdown on the COVID-19 epidemic in Brazil: evidence from an interrupted time series design

Cadernos de Saúde Pública ◽

10.1590/0102-311x00213920 ◽

2020 ◽

Vol 36 (10) ◽

Author(s):

Lucas Silva ◽

Dalson Figueiredo Filho ◽

Antônio Fernandes

Keyword(s):

Time Series ◽

Interrupted Time Series ◽

Positive Trend ◽

Interrupted Time Series Analysis ◽

Observation Window ◽

Social Distancing ◽

Epidemic Curve ◽

Incidence And Mortality ◽

Before And After ◽

The Impact

In response to the COVID-19 pandemic, governments worldwide have implemented social distancing policies with different levels of both enforcement and compliance. We conducted an interrupted time series analysis to estimate the impact of lockdowns on reducing the number of cases and deaths due to COVID-19 in Brazil. Official daily data was collected for four city capitals before and after their respective policies interventions based on a 14 days observation window. We estimated a segmented linear regression to evaluate the effectiveness of lockdown measures on COVID-19 incidence and mortality. The initial number of new cases and new deaths had a positive trend prior to policy change. After lockdown, a statistically significant decrease in new confirmed cases was found in all state capitals. We also found evidence that lockdown measures were likely to reverse the trend of new daily deaths due to COVID-19. In São Luís, we observed a reduction of 37.85% while in Fortaleza the decrease was 33.4% on the average difference in daily deaths if the lockdown had not been implemented. Similarly, the intervention diminished mortality in Recife by 21.76% and Belém by 16.77%. Social distancing policies can be useful tools in flattening the epidemic curve.

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The Impact of Lockdown in England on Daily Confirmed Cases of COVID-19 and Related Deaths Compared to Sweden: A Comparative Interrupted Time Series Analysis

SSRN Electronic Journal ◽

10.2139/ssrn.3629457 ◽

2020 ◽

Author(s):

Moaath Mustafa Ali ◽

Yazan Samhouri ◽

Marwa Sabha ◽

Lynna Alnimer

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Interrupted Time Series ◽

Interrupted Time Series Analysis ◽

Series Analysis ◽

The Impact

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Correction to: Measuring the impact of the Afordable Care Act Medicaid expansion on access to primary care using an interrupted time series approach

Health Research Policy and Systems ◽

10.1186/s12961-021-00740-y ◽

2021 ◽

Vol 19 (1) ◽

Author(s):

Elizabeth A. Brown ◽

Brandi M. White ◽

Walter J. Jones ◽

Mulugeta Gebregziabher ◽

Kit N. Simpson

Keyword(s):

Primary Care ◽

Time Series ◽

Interrupted Time Series ◽

Medicaid Expansion ◽

Time Series Approach ◽

Access To Primary Care ◽

The Impact

An amendment to this paper has been published and can be accessed via the original article.

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Does admission prevalence change after reconfiguration of inpatient services? An interrupted time series analysis of the impact of reconfiguration in five centres

BMC Health Services Research ◽

10.1186/s12913-021-06070-7 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Joanne Martin ◽

Edwin Amalraj Raja ◽

Steve Turner

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Emergency Admission ◽

Interrupted Time Series ◽

Interrupted Time Series Analysis ◽

Emergency Admissions ◽

Series Analysis ◽

Inpatient Services ◽

The Impact ◽

Admission Prevalence

Abstract Background Service reconfiguration of inpatient services in a hospital includes complete and partial closure of all emergency inpatient facilities. The “natural experiment” of service reconfiguration may give insight into drivers for emergency admissions to hospital. This study addressed the question does the prevalence of emergency admission to hospital for children change after reconfiguration of inpatient services? Methods There were five service reconfigurations in Scottish hospitals between 2004 and 2018 where emergency admissions to one “reconfigured” hospital were halted (permanently or temporarily) and directed to a second “adjacent” hospital. The number of emergency admissions (standardised to /1000 children in the regional population) per month to the “reconfigured” and “adjacent” hospitals was obtained for five years prior to reconfiguration and up to five years afterwards. An interrupted time series analysis considered the association between reconfiguration and admissions across pairs comprised of “reconfigured” and “adjacent” hospitals, with adjustment for seasonality and an overall rising trend in admissions. Results Of the five episodes of reconfiguration, two were immediate closure, two involved closure only to overnight admissions and one with overnight closure for a period and then closure. In “reconfigured” hospitals there was an average fall of 117 admissions/month [95% CI 78, 156] in the year after reconfiguration compared to the year before, and in “adjacent” hospitals admissions rose by 82/month [32, 131]. Across paired reconfigured and adjacent hospitals, in the months post reconfiguration, the overall number of admissions to one hospital pair slowed, in another pair admissions accelerated, and admission prevalence was unchanged in three pairs. After reconfiguration in one hospital, there was a rise in admissions to a third hospital which was closer than the named “adjacent” hospital. Conclusions There are diverse outcomes for the number of emergency admissions post reconfiguration of inpatient facilities. Factors including resources placed in the community after local reconfiguration, distance to the “adjacent” hospital and local deprivation may be important drivers for admission pathways after reconfiguration. Policy makers considering reconfiguration might consider a number of factors which may be important determinants of admissions post reconfiguration.

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Recession and risk of suicide in Denmark during the 2009 global financial crisis: an ecological register-based study

Scandinavian Journal of Public Health ◽

10.1177/14034948211013270 ◽

2021 ◽

pp. 140349482110132

Author(s):

Agnieszka Konieczna ◽

Sarah Grube Jakobsen ◽

Christina Petrea Larsen ◽

Erik Christiansen

Keyword(s):

Time Series ◽

Financial Crisis ◽

Time Series Analysis ◽

Suicide Rate ◽

Global Financial Crisis ◽

Interrupted Time Series ◽

Interrupted Time Series Analysis ◽

Series Analysis ◽

Prevention Programmes ◽

The Impact

Aim: The aim of this study is to analyse the potential impact from the financial crisis (onset in 2009) on suicide rates in Denmark. The hypothesis is that the global financial crisis raised unemployment which leads to raising the suicide rate in Denmark and that the impact is most prominent in men. Method: This study used an ecological study design, including register data from 2001 until 2016 on unemployment, suicide, gender and calendar time which was analysed using Poisson regression models and interrupted time series analysis. Results: The correlation between unemployment and suicide rates was positive in the period and statistically significant for all, but at a moderate level. A dichotomised version of time (calendar year) showed a significant reduction in the suicide rate for women (incidence rate ratio 0.87, P=0.002). Interrupted time series analysis showed a significant decreasing trend for the overall suicide rate and for men in the pre-recession period, which in both cases stagnated after the onset of recession in 2009. The difference between the genders’ suicide rate changed significantly at the onset of recession, as the rate for men increased and the rate for women decreased. Discussion: The Danish social welfare model might have prevented social disintegration and suicide among unemployed, and suicide prevention programmes might have prevented deaths among unemployed and mentally ill individuals. Conclusions: We found some indications for gender-specific differences from the impact of the financial crises on the suicide rate. We recommend that men should be specifically targeted for appropriate prevention programmes during periods of economic downturn.

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