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Background: The Swedish Primary Health Care (PHC) system has, like in other European countries, undergone a gradual transition towards marketization and privatization, most distinctly through a 2010 choice reform. The reform led to an overall but regionally heterogenous expansion of private PHC providers in Sweden, and with evidence also pointing to possible inequities in various aspects of PHC provision. Evidence on the reform's impact on population-level primary health care performance and equity in performance remains scarce. The present study therefore aimed to examine whether the increase in private provision after the reform impacted on population-average rates of avoidable hospitalizations, as well as on corresponding socioeconomic inequities. Methods: This register-based study used a multiple-group interrupted time-series design for the study period 2001-2017, with the study population (N = 51 million observations) randomly drawn from the total Swedish population aged 18-85 years. High, medium, and low implementing comparison groups were classified by tertiles of increase in private PHC providers after the reform. PHC performance was measured by avoidable hospitalizations, and socioeconomic position by education and income. Interrupted time series analysis based on individual-level data was used to estimate the reform impact on avoidable hospitalization risk, and on inequities through the Relative Index of Inequality (RII). Results: All three comparisons groups displayed decreasing risk of avoidable hospitalizations but increasing socioeconomic inequities across the study period. Compared to regions with little change in provision after the reform, regions with large increase in private provision saw a steeper decrease in avoidable hospitalizations after the reform (relative risk (95%): 1.6% (1.1; 2.1)), but at the same time steeper increase in inequities (by education: 2.0% (0.1%; 4.0); by income: 2.2% (-0.1; 4.3)). Conclusions: The study suggests that the

Background: The Swedish Primary Health Care (PHC) system has, like in other European countries, undergone a gradual transition towards marketization and privatization, most distinctly through a 2010 choice reform. The reform led to an overall but regionally heterogenous expansion of private PHC providers in Sweden, and with evidence also pointing to possible inequities in various aspects of PHC provision. Evidence on the reform's impact on population-level primary health care performance and equity in performance remains scarce. The present study therefore aimed to examine whether the increase in private provision after the reform impacted on population-average rates of avoidable hospitalizations, as well as on corresponding socioeconomic inequities. Methods: This register-based study used a multiple-group interrupted time-series design for the study period 2001-2017, with the study population (N = 51 million observations) randomly drawn from the total Swedish population aged 18-85 years. High, medium, and low implementing comparison groups were classified by tertiles of increase in private PHC providers after the reform. PHC performance was measured by avoidable hospitalizations, and socioeconomic position by education and income. Interrupted time series analysis based on individual-level data was used to estimate the reform impact on avoidable hospitalization risk, and on inequities through the Relative Index of Inequality (RII). Results: All three comparisons groups displayed decreasing risk of avoidable hospitalizations but increasing socioeconomic inequities across the study period. Compared to regions with little change in provision after the reform, regions with large increase in private provision saw a steeper decrease in avoidable hospitalizations after the reform (relative risk (95%): 1.6% (1.1; 2.1)), but at the same time steeper increase in inequities (by education: 2.0% (0.1%; 4.0); by income: 2.2% (-0.1; 4.3)). Conclusions: The study suggests that the

Robust evidence from health policy research has the potential to inform policy-making, but studies have suggested that methodological shortcomings are abundant. We aimed to identify common methodological weaknesses in pharmaceutical pricing policy analyses. A systematic review (SR) of studies examining pharmaceutical pricing policies served as basis for the present analysis. We selected all studies that were included in the SR (n = 56), and those that were excluded from the SR due to ineligible study designs only (n = 101). Risk of bias was assessed and specific study design issues were recorded to identify recurrent methodological issues. Sixty-one percent of studies with a study design eligible for the SR presented with a high risk of bias in at least one domain. Potential interference of co-interventions was a source of possible bias in 53% of interrupted time series studies. Failing to consider potential confounders was the primary cause for potential bias in difference-in-differences, regression, and panel data analyses. In 101 studies with a study design not eligible for the SR, 32% were uncontrolled before-after studies and 23% were studies without pre-intervention data. Some of the methodological issues encountered may be resolved during the design of a study. Awareness among researchers on methodological issues will help improve the rigor of health policy research in general.

Despite advances in maternal and neonatal health over the past few decades, a disproportionate amount of adverse birth outcomes (e.g., stillbirth, low birth weight [LBW], and preterm birth [PTB]) still occur in low- and middle-income countries. In the Democratic Republic of the Congo (DRC), health officials have been exploring ways to expand pharmacovigilance (PV) capabilities for the detection of adverse maternal and neonatal health outcomes and also striving to learn more about the impact of the COVID-19 pandemic on neonatal health outcomes. In response, this dissertation utilized a PV study – conducted from July 1, 2019 to January 31, 2021 in Kinshasa, DRC – in conjunction with external surveillance data and data from the literature to address these subjects. Chapter 1 provides a broad summary of the current state of maternal and neonatal health both generally and in the context of the DRC. Chapter 2 assesses the equivalency of alternative data sources (in the form of archival medical records and enhanced monitoring data) to external surveillance data for the detection of maternal and neonatal health outcomes; the results generally indicated that such alternative data sources could serve as suitable PV tools for the monitoring of adverse birth outcomes in Kinshasa, DRC. Chapter 3 utilizes natural experimental methods to investigate the impact of the COVID-19 pandemic on selected neonatal health outcomes; the results revealed that the stillbirth rate appeared to remain stable while the LBW and PTB rates seemed to decline slightly after the imposition of COVID-19 mitigation measures in Kinshasa, DRC. Chapter 4 employs systematic review and meta-analysis methodology to examine the relationship between COVID-19 mitigation measures and neonatal health outcomes in sub-Saharan Africa; despite issues concerning high heterogeneity, the results generally suggested no change in stillbirth, LBW, or PTB after the imposition of COVID-19 mitigation measures among multi-national

BACKGROUND: Opioid overdose fatalities are preventable with timely administration of naloxone, an opioid antagonist, during an opioid overdose event. Syringe service programs have pioneered naloxone distribution for potential bystanders of opioid overdose. The objective of this study was to pilot test a multi-component implementation strategy-the systems analysis and improvement approach for naloxone (SAIA-Naloxone)-with the goal of improving naloxone distribution by syringe service programs. METHODS: Two syringe service programs participated in a 6-month pilot of SAIA-Naloxone, which included (1) analyzing program data to identify gaps in the naloxone delivery cascade, (2) flow mapping to identify causes of attrition and brainstorm programmatic changes for improvement, and (3) conducting continuous quality improvement to test and assess whether modifications improve the cascade. We conducted an interrupted time series analysis using 52 weeks of data before and 26 weeks of data after initiating SAIA-Naloxone. Poisson regression was used to evaluate the association between SAIA-Naloxone and the weekly number of participants receiving naloxone and number of naloxone doses distributed. RESULTS: Over the course of the study, 11,107 doses of naloxone were distributed to 6,071 participants. Through SAIA-Naloxone, syringe service programs prioritized testing programmatic modifications to improve data collection procedures, proactively screen and identify naloxone-naïve participants, streamline naloxone refill systems, and allow for secondary naloxone distribution. SAIA-Naloxone was associated with statistically significant increases in the average number of people receiving naloxone per week (37% more SPP participants; 95% CI, 12% to 67%) and average number of naloxone doses distributed per week (105% more naloxone doses; 95% CI, 79% to 136%) beyond the underlying pre-SAIA-Naloxone levels. These initial increases were extended by ongoing positive changes over tim

Background: The Belgian government has taken several measures to increase the uptake of biosimilars in past years. However, no formal evaluation of the impact of these measures has been made yet. This study aimed to investigate the impact of the implemented measures on biosimilar uptake. Methods: An interrupted time series analysis was performed using an autoregressive integrated moving average (ARIMA) model with the Box-Jenkins method. All data were expressed as defined daily doses (DDD) per month/quarter and obtained from the Belgian National Institute for Health and Disability Insurance (NIHDI). Three molecules were included in the analysis: etanercept (ambulatory), filgrastim (hospital), and epoetin (hospital). A significance level of 5% was used for all analyses. Results: In the ambulatory care, the effect of a financial prescriber incentive of 2019 was investigated. After this intervention, 44.504 (95% CI −61.61 to −14.812; P < 0.001) fewer etanercept biosimilar DDDs were dispensed monthly than expected in the absence of the intervention. Two interventions were modelled for biosimilars in the hospital setting. The first intervention of 2016 includes prescription targets for biosimilars and monitoring of hospitals on adequate tendering. The second intervention involves an information campaign on biosimilars. After the first intervention, a small decrease in quarterly epoetin biosimilar uptake of 449.820 DDD (95% CI −880.113 to −19.527; P = 0.05) was observed. The second intervention led to a larger increase in quarterly epoetin biosimilar uptake of 2733.692 DDD (95% CI 1648.648–3818.736; P < 0.001). For filgrastim, 1809.833 DDD (95% CI 1354.797–2264.869; P < 0.001) more biosimilars were dispensed immediately after the first intervention and 151.639 DDD (95% CI −203.128 to −100.150; P < 0.001) fewer biosimilars each quarter after the first intervention. An immediate and sustained increase of 700.932 DDD (95% CI 180.536–1221.328; P = 0.016) in quarterly biosimila, SCOPUS: ar.j, info:eu-repo/semantics/published

BackgroundLong-lasting insecticidal nets (LLINs) are the main vector control tool for pregnant women, but their efficacy may be compromised, in part, due to pyrethroid resistance. In 2017, the Ugandan Ministry of Health embedded a cluster randomized controlled trial into the national LLIN campaign, where a random subset of health subdistricts (HSDs) received LLINs treated with piperonyl butoxide (PBO), a chemical synergist known to partially restore pyrethroid sensitivity. Using data from a small, non-randomly selected subset of HSDs, this secondary analysis used quasi-experimental methods to quantify the overall impact of the LLIN campaign on pregnancy outcomes. In an exploratory analysis, differences between PBO and conventional (non-PBO) LLINs on pregnancy outcomes were assessed.MethodsBirth registry data (n = 39,085) were retrospectively collected from 21 health facilities across 12 HSDs, 29 months before and 9 months after the LLIN campaign (from 2015 to 2018). Of the 12 HSDs, six received conventional LLINs, five received PBO LLINs, and one received a mix of conventional and PBO LLINs. Interrupted time-series analyses (ITSAs) were used to estimate changes in monthly incidence of stillbirth and low birthweight (LBW; <2500 g) before-and-after the campaign. Poisson regression with robust standard errors modeled campaign effects, adjusting for health facility-level differences, seasonal variation, and time-varying maternal characteristics. Comparisons between PBO and conventional LLINs were estimated using difference-in-differences estimators.ResultsITSAs estimated the campaign was associated with a 26% [95% CI: 7-41] reduction in stillbirth incidence (incidence rate ratio (IRR) = 0.74 [0.59-0.93]) and a 15% [-7, 33] reduction in LBW incidence (IRR=0.85 [0.67-1.07]) over a 9-month period. The effect on stillbirth incidence was greatest for women delivering 7-9 months after the campaign (IRR=0.60 [0.41-0.87]) for whom the LLINs would have covered most of their p

BackgroundLong-lasting insecticidal nets (LLINs) are the main vector control tool for pregnant women, but their efficacy may be compromised, in part, due to pyrethroid resistance. In 2017, the Ugandan Ministry of Health embedded a cluster randomized controlled trial into the national LLIN campaign, where a random subset of health subdistricts (HSDs) received LLINs treated with piperonyl butoxide (PBO), a chemical synergist known to partially restore pyrethroid sensitivity. Using data from a small, non-randomly selected subset of HSDs, this secondary analysis used quasi-experimental methods to quantify the overall impact of the LLIN campaign on pregnancy outcomes. In an exploratory analysis, differences between PBO and conventional (non-PBO) LLINs on pregnancy outcomes were assessed.MethodsBirth registry data (n = 39,085) were retrospectively collected from 21 health facilities across 12 HSDs, 29 months before and 9 months after the LLIN campaign (from 2015 to 2018). Of the 12 HSDs, six received conventional LLINs, five received PBO LLINs, and one received a mix of conventional and PBO LLINs. Interrupted time-series analyses (ITSAs) were used to estimate changes in monthly incidence of stillbirth and low birthweight (LBW; <2500 g) before-and-after the campaign. Poisson regression with robust standard errors modeled campaign effects, adjusting for health facility-level differences, seasonal variation, and time-varying maternal characteristics. Comparisons between PBO and conventional LLINs were estimated using difference-in-differences estimators.ResultsITSAs estimated the campaign was associated with a 26% [95% CI: 7-41] reduction in stillbirth incidence (incidence rate ratio (IRR) = 0.74 [0.59-0.93]) and a 15% [-7, 33] reduction in LBW incidence (IRR=0.85 [0.67-1.07]) over a 9-month period. The effect on stillbirth incidence was greatest for women delivering 7-9 months after the campaign (IRR=0.60 [0.41-0.87]) for whom the LLINs would have covered most of their p

BackgroundAfter coronavirus disease 2019 (COVID-19) shelter-in-place (SIP) orders, viral suppression (VS) rates initially decreased within a safety-net human immunodeficiency virus (HIV) clinic in San Francisco, particularly among people living with HIV (PLWH) who are experiencing homelessness. We sought to determine if proactive outreach to provide social services, scaling up of in-person visits, and expansion of housing programs could reverse this decline.MethodsWe assessed VS 24 months before and 13 months after SIP using mixed-effects logistic regression followed by interrupted time series (ITS) analysis to examine changes in the rate of VS per month. Loss to follow-up (LTFU) was assessed via active clinic tracing.ResultsData from 1816 patients were included; the median age was 51 years, 12% were female, and 14% were experiencing unstable housing/homelessness. The adjusted odds of VS increased 1.34 fold following institution of the multicomponent strategies (95% confidence interval [CI], 1.21-1.46). In the ITS analysis, the odds of VS continuously increased 1.05 fold per month over the post-intervention period (95% CI, 1.01-1.08). Among PLWH who previously experienced homelessness and successfully received housing support, the odds of VS were 1.94-fold higher (95% CI, 1.05-3.59). The 1-year LTFU rate was 2.8 per 100 person-years (95% CI, 2.2-3.5).ConclusionsThe VS rate increased following institution of the multicomponent strategies, with a lower LFTU rate compared with prior years. Maintaining in-person care for underserved patients, with flexible telemedicine options, along with provision of social services and permanent expansion of housing programs, will be needed to support VS among underserved populations during the COVID-19 pandemic.

Reference pricing (RP) is an insurance design that can be used to incentivize patients to use low-price settings. While RP is not intended to affect overall utilization, it could unintentionally reduce utilization. We examined whether utilization was reduced when a large employer adopted RP for selected elective surgeries, including inpatient joint replacement surgery and outpatient cataract surgery, colonoscopy, and arthroscopic surgery. Data included a treatment group subject to RP implementation and a comparison group that was not. We applied autoregressive integrated moving average analysis as comparison-population interrupted time-series analysis to determine whether there were procedure reductions following RP implementation. We find no evidence of short-term decreases (within 3 months of RP implementation). However, we find very modest declines of approximately 14 (20%) fewer arthroscopic knee surgeries 6 months after RP implementation and 129 (17.2%) fewer colonoscopies 8 months after RP implementation. There were no declines in the other procedures examined.

PurposePrescription drug monitoring programs (PDMPs) have been established to combat the opioid epidemic, but there is no data on their efficacy in children. We hypothesized that a statewide PDMP mandate would be associated with fewer opioid prescriptions in pediatric surgical patients.MethodsPatients < 18 undergoing inguinal hernia repair, orchiopexy, orchiectomy, appendectomy, or cholecystectomy at a tertiary children's hospital were included. The primary outcome, discharge opioid prescription, was compared for 10 months pre-PDMP (n = 158) to 10 months post-PDMP (n = 228). Interrupted time series analysis was performed to determine the effect of the PDMP on opioid prescribing.ResultsOver the 20-month study period, there was an overall decrease in the rate of opioid prescriptions per month (- 3.6% change, p < 0.001). On interrupted time series analysis, PDMP implementation was not associated with a significant decrease in the monthly rate of opioid prescriptions (1.27% change post-PDMP, p = 0.4). However, PDMP implementation was associated with a reduction in opioid prescriptions of greater than 5 days' supply (- 2.7% per month, p = 0.03).ConclusionOpioid prescriptions declined in pediatric surgical patients over the study time period. State-wide PDMP implementation was associated with a reduction in postoperative opioid prescriptions of more than 5 days' duration.

PurposePrescription drug monitoring programs (PDMPs) have been established to combat the opioid epidemic, but there is no data on their efficacy in children. We hypothesized that a statewide PDMP mandate would be associated with fewer opioid prescriptions in pediatric surgical patients.MethodsPatients < 18 undergoing inguinal hernia repair, orchiopexy, orchiectomy, appendectomy, or cholecystectomy at a tertiary children's hospital were included. The primary outcome, discharge opioid prescription, was compared for 10 months pre-PDMP (n = 158) to 10 months post-PDMP (n = 228). Interrupted time series analysis was performed to determine the effect of the PDMP on opioid prescribing.ResultsOver the 20-month study period, there was an overall decrease in the rate of opioid prescriptions per month (- 3.6% change, p < 0.001). On interrupted time series analysis, PDMP implementation was not associated with a significant decrease in the monthly rate of opioid prescriptions (1.27% change post-PDMP, p = 0.4). However, PDMP implementation was associated with a reduction in opioid prescriptions of greater than 5 days' supply (- 2.7% per month, p = 0.03).ConclusionOpioid prescriptions declined in pediatric surgical patients over the study time period. State-wide PDMP implementation was associated with a reduction in postoperative opioid prescriptions of more than 5 days' duration.

Rationale aims and objectives: Appropriate treatment of pediatric fever in rural areas remains a challenge and maybe partly due to inadequate supervision of licensed drug sellers. This study assessed the effectiveness of peer-supervision among drug sellers on the appropriate treatment of pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age in the intervention (Luuka) and comparison (Buyende) districts, in East-Central Uganda. Methods: Data on pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age was abstracted from drug shop sick child registers over a 12-month period; 6 months before and 6 months after the introduction of peer-supervision. Interrupted time series were applied to determine the effectiveness of the peer-supervision intervention on the appropriate treatment of pneumonia, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age attending drug shops in East Central Uganda. Results: The proportion of children treated appropriately for pneumonia symptoms was 10.84% (P < .05, CI = [1.75, 19.9]) higher, for uncomplicated malaria was 1.46% (P = .79, CI = [-10.43, 13.36]) higher, and for non-bloody diarrhea was 4.00% (P < .05, CI = [-7.95, -0.13]) lower in the intervention district than the comparison district, respectively.Post-intervention trend results showed an increase of 1.21% (P = .008, CI = [0.36, 2.05]) in the proportion appropriately treated for pneumonia symptoms, no difference in appropriate treatment for uncomplicated malaria, and a reduction of 1% (P < .06, CI = [-1.95, 0.02]) in the proportion of children appropriately treated for non-bloody diarrhea, respectively. Conclusions: Peer-supervision increased the proportion of children less than 5 years of age that received appropriate treatment for pneumonia symptoms but not for uncomplicated malaria and non-bloody diarrhea. Implementation of community-le

Rationale aims and objectives: Appropriate treatment of pediatric fever in rural areas remains a challenge and maybe partly due to inadequate supervision of licensed drug sellers. This study assessed the effectiveness of peer-supervision among drug sellers on the appropriate treatment of pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age in the intervention (Luuka) and comparison (Buyende) districts, in East-Central Uganda. Methods: Data on pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age was abstracted from drug shop sick child registers over a 12-month period; 6 months before and 6 months after the introduction of peer-supervision. Interrupted time series were applied to determine the effectiveness of the peer-supervision intervention on the appropriate treatment of pneumonia, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age attending drug shops in East Central Uganda. Results: The proportion of children treated appropriately for pneumonia symptoms was 10.84% (P < .05, CI = [1.75, 19.9]) higher, for uncomplicated malaria was 1.46% (P = .79, CI = [-10.43, 13.36]) higher, and for non-bloody diarrhea was 4.00% (P < .05, CI = [-7.95, -0.13]) lower in the intervention district than the comparison district, respectively.Post-intervention trend results showed an increase of 1.21% (P = .008, CI = [0.36, 2.05]) in the proportion appropriately treated for pneumonia symptoms, no difference in appropriate treatment for uncomplicated malaria, and a reduction of 1% (P < .06, CI = [-1.95, 0.02]) in the proportion of children appropriately treated for non-bloody diarrhea, respectively. Conclusions: Peer-supervision increased the proportion of children less than 5 years of age that received appropriate treatment for pneumonia symptoms but not for uncomplicated malaria and non-bloody diarrhea. Implementation of community-le

Rationale aims and objectives: Appropriate treatment of pediatric fever in rural areas remains a challenge and maybe partly due to inadequate supervision of licensed drug sellers. This study assessed the effectiveness of peer-supervision among drug sellers on the appropriate treatment of pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age in the intervention (Luuka) and comparison (Buyende) districts, in East-Central Uganda. Methods: Data on pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age was abstracted from drug shop sick child registers over a 12-month period; 6 months before and 6 months after the introduction of peer-supervision. Interrupted time series were applied to determine the effectiveness of the peer-supervision intervention on the appropriate treatment of pneumonia, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age attending drug shops in East Central Uganda. Results: The proportion of children treated appropriately for pneumonia symptoms was 10.84% (P < .05, CI = [1.75, 19.9]) higher, for uncomplicated malaria was 1.46% (P = .79, CI = [-10.43, 13.36]) higher, and for non-bloody diarrhea was 4.00% (P < .05, CI = [-7.95, -0.13]) lower in the intervention district than the comparison district, respectively.Post-intervention trend results showed an increase of 1.21% (P = .008, CI = [0.36, 2.05]) in the proportion appropriately treated for pneumonia symptoms, no difference in appropriate treatment for uncomplicated malaria, and a reduction of 1% (P < .06, CI = [-1.95, 0.02]) in the proportion of children appropriately treated for non-bloody diarrhea, respectively. Conclusions: Peer-supervision increased the proportion of children less than 5 years of age that received appropriate treatment for pneumonia symptoms but not for uncomplicated malaria and non-bloody diarrhea. Implementation of community-le

In 2016, the CareLink New Mexico behavioral health homes program began enrolling Medicaid recipients with the goal of increasing care coordination, improving access to services, and decreasing long-term costs of care for adults with serious mental illness (SMI) and children with severe emotional disturbance (SED). To evaluate these aims, a retrospective interrupted time series study using Medicaid claims data was designed. First, a comparable subset of non-enrolled individuals was selected from the pool of Medicaid recipients with SMI or SED using propensity score matching. Then, segmented regression was applied to three outcomes: total Medicaid charges, number of outpatient behavioral health claims, and incurring emergency care claims. Finally, difference-in-difference contrasts were estimated to compare the enrolled individuals’ outcomes to their own baseline and to the trajectory of non-enrolled individuals. Enrollment resulted in decreased rate of increase in costs, decreased behavioral health claims, and decreased probability of emergency health care for enrollees.

Rationale aims and objectives: Appropriate treatment of pediatric fever in rural areas remains a challenge and maybe partly due to inadequate supervision of licensed drug sellers. This study assessed the effectiveness of peer-supervision among drug sellers on the appropriate treatment of pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age in the intervention (Luuka) and comparison (Buyende) districts, in East-Central Uganda. Methods: Data on pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age was abstracted from drug shop sick child registers over a 12-month period; 6 months before and 6 months after the introduction of peer-supervision. Interrupted time series were applied to determine the effectiveness of the peer-supervision intervention on the appropriate treatment of pneumonia, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age attending drug shops in East Central Uganda. Results: The proportion of children treated appropriately for pneumonia symptoms was 10.84% (P < .05, CI = [1.75, 19.9]) higher, for uncomplicated malaria was 1.46% (P = .79, CI = [-10.43, 13.36]) higher, and for non-bloody diarrhea was 4.00% (P < .05, CI = [-7.95, -0.13]) lower in the intervention district than the comparison district, respectively.Post-intervention trend results showed an increase of 1.21% (P = .008, CI = [0.36, 2.05]) in the proportion appropriately treated for pneumonia symptoms, no difference in appropriate treatment for uncomplicated malaria, and a reduction of 1% (P < .06, CI = [-1.95, 0.02]) in the proportion of children appropriately treated for non-bloody diarrhea, respectively. Conclusions: Peer-supervision increased the proportion of children less than 5 years of age that received appropriate treatment for pneumonia symptoms but not for uncomplicated malaria and non-bloody diarrhea. Implementation of community-le

In 2016, the CareLink New Mexico behavioral health homes program began enrolling Medicaid recipients with the goal of increasing care coordination, improving access to services, and decreasing long-term costs of care for adults with serious mental illness (SMI) and children with severe emotional disturbance (SED). To evaluate these aims, a retrospective interrupted time series study using Medicaid claims data was designed. First, a comparable subset of non-enrolled individuals was selected from the pool of Medicaid recipients with SMI or SED using propensity score matching. Then, segmented regression was applied to three outcomes: total Medicaid charges, number of outpatient behavioral health claims, and incurring emergency care claims. Finally, difference-in-difference contrasts were estimated to compare the enrolled individuals’ outcomes to their own baseline and to the trajectory of non-enrolled individuals. Enrollment resulted in decreased rate of increase in costs, decreased behavioral health claims, and decreased probability of emergency health care for enrollees.

Humanity's impact on the environment is increasing, as are strategies to conserve biodiversity, but a lack of understanding about how interventions affect ecological and conservation outcomes hampers decision-making. Time series are often used to assess impacts, but ecologists tend to compare average values from before to after an impact; overlooking the potential for the intervention to elicit a change in trend. Without methods that allow for a range of responses, erroneous conclusions can be drawn, especially for large, multi-time-series datasets, which are increasingly available. Drawing on literature in other disciplines and pioneering work in ecology, we present a standardised framework to robustly assesses how interventions, like natural disasters or conservation policies, affect ecological time series.

BACKGROUND: The impact of social media, with its speed, reach and accessibility, in interventions aimed to improve adherence to guidelines such as assessment of Pain, Agitation/Sedation and Delirium (PAD) in intensive care is not described. Therefore, the primary objective of this quality improvement study was to evaluate the impact of a multifaceted intervention including audit and feedback of quality indicators (QI) via Facebook-groups, educational events, and engagement of opinion leaders on adherence to PAD-guidelines in four ICUs. METHODS: A quasi-experimental interrupted time series study with eight monthly data points in the two phases Before and Intervention was designed. Proportion of nursing shifts with documented PAD-assessment (PAD-QIs) were retrieved from the electronical medical chart from included adult ICU patient-stays in four participating ICUs. Difference between the two time-periods was assessed using generalized mixed model for repeated measures with unstructured covariance matrix, and presented as Beta (B) with 95% confidence interval (CI). RESULTS: Finally, 1049 ICU patient-stays were analysed; 534 in Before and 515 in Intervention. All three PAD-QIs significantly increased in Intervention by 31% (B=30.7, 95%CI [25.7 to 35.8]), 26% (B=25.8, 95%CI [19.4 to 32.2]), and 34% (B=33.9, 95%CI [28.4 to 39.4]) in pain, agitation/sedation and delirium, respectively. CONCLUSION: A multifaceted intervention including use of Facebook-groups was associated with improved guideline-adherence in four ICUs, as measured with process PAD-QIs of PAD assessment. Further research on use of social media to improve guideline adherence is warranted, particularly as social distancing impacts clinical education and training and new approaches are needed.

Rationale aims and objectives: Appropriate treatment of pediatric fever in rural areas remains a challenge and maybe partly due to inadequate supervision of licensed drug sellers. This study assessed the effectiveness of peer-supervision among drug sellers on the appropriate treatment of pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age in the intervention (Luuka) and comparison (Buyende) districts, in East-Central Uganda. Methods: Data on pneumonia symptoms, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age was abstracted from drug shop sick child registers over a 12-month period; 6 months before and 6 months after the introduction of peer-supervision. Interrupted time series were applied to determine the effectiveness of the peer-supervision intervention on the appropriate treatment of pneumonia, uncomplicated malaria, and non-bloody diarrhea among children less than 5 years of age attending drug shops in East Central Uganda. Results: The proportion of children treated appropriately for pneumonia symptoms was 10.84% (P < .05, CI = [1.75, 19.9]) higher, for uncomplicated malaria was 1.46% (P = .79, CI = [-10.43, 13.36]) higher, and for non-bloody diarrhea was 4.00% (P < .05, CI = [-7.95, -0.13]) lower in the intervention district than the comparison district, respectively.Post-intervention trend results showed an increase of 1.21% (P = .008, CI = [0.36, 2.05]) in the proportion appropriately treated for pneumonia symptoms, no difference in appropriate treatment for uncomplicated malaria, and a reduction of 1% (P < .06, CI = [-1.95, 0.02]) in the proportion of children appropriately treated for non-bloody diarrhea, respectively. Conclusions: Peer-supervision increased the proportion of children less than 5 years of age that received appropriate treatment for pneumonia symptoms but not for uncomplicated malaria and non-bloody diarrhea. Implementation of community-le

Humanity's impact on the environment is increasing, as are strategies to conserve biodiversity, but a lack of understanding about how interventions affect ecological and conservation outcomes hampers decision-making. Time series are often used to assess impacts, but ecologists tend to compare average values from before to after an impact; overlooking the potential for the intervention to elicit a change in trend. Without methods that allow for a range of responses, erroneous conclusions can be drawn, especially for large, multi-time-series datasets, which are increasingly available. Drawing on literature in other disciplines and pioneering work in ecology, we present a standardised framework to robustly assesses how interventions, like natural disasters or conservation policies, affect ecological time series.

Governments have implemented social distancing measures to address the ongoing COVID-19 pandemic. The measures include instructions that individuals maintain social distance when in public, school closures, limitations on gatherings and business operations, and instructions to remain at home. Social distancing may have an impact on the volume and distribution of crime. Crimes such as residential burglary may decrease as a byproduct of increased guardianship over personal space and property. Crimes such as domestic violence may increase because of extended periods of contact between potential offenders and victims. Understanding the impact of social distancing on crime is critical for ensuring the safety of police and government capacity to deal with the evolving crisis. Understanding how social distancing policies impact crime may also provide insights into whether people are complying with public health measures. Examination of the most recently available data from both Los Angeles, CA, and Indianapolis, IN, shows that social distancing has had a statistically significant impact on a few specific crime types. However, the overall effect is notably less than might be expected given the scale of the disruption to social and economic life.

Increasing sport participation by hosting elite sport events is a muchdebated policy. This study evaluated the effect of hosting elite sport events on sport participation against the background of a shift in focus towards targeting recreational sport participation. We included 10 international elite sport events organised between 2000 and 2017 in the city of Rotterdam, the Netherlands. Sport-specific participation in the pastyear was obtained from abiannual cross-sectional survey. Per event, interrupted time series analyses were employed using 3 pre- and post-event measures. Data were summarised by means of random-effects metaanalyses. We tested for group differences to evaluate if events organised in the period with amore explicit aim to target recreational sport participation, and associated policies, had alarger impact. Three events concerning cycling, table tennis and gymnastics were followed by an increase in sport-specific participation 1-year after the event was organised, whereas the korfball event was followed by adecrease. The pooled effect of the 10 events did not show any change in sport-specific participation (0.2%-point (95% CI: −0.3; 0.8)). Significant group differences by period were found. More recent events targeting sport participation were followed by an increase in sport-specific participation (1.1%-point (95% CI: 0.0; 2.1)), but not for other events (−0.3%-point (95% CI: −0.6; 0.1)). No group differences were found for the number of visitors and location. Hosting elite sport events that explicitly target sport participation may increase sport participation among citizens. Longitudinal data following individuals over time are needed to support this finding.

Governments have implemented social distancing measures to address the ongoing COVID-19 pandemic. The measures include instructions that individuals maintain social distance when in public, school closures, limitations on gatherings and business operations, and instructions to remain at home. Social distancing may have an impact on the volume and distribution of crime. Crimes such as residential burglary may decrease as a byproduct of increased guardianship over personal space and property. Crimes such as domestic violence may increase because of extended periods of contact between potential offenders and victims. Understanding the impact of social distancing on crime is critical for ensuring the safety of police and government capacity to deal with the evolving crisis. Understanding how social distancing policies impact crime may also provide insights into whether people are complying with public health measures. Examination of the most recently available data from both Los Angeles, CA, and Indianapolis, IN, shows that social distancing has had a statistically significant impact on a few specific crime types. However, the overall effect is notably less than might be expected given the scale of the disruption to social and economic life.

According to the World Health Organization, dengue is the most critical and most rapidly spreading mosquito-borne viral disease in the world and is responsible for the infection of an estimated 380 million people across the globe annually. There is no cure for dengue, makingprevention key to disrupting the rapid progression of this disease into the world's population.Recent scientific advances target the mosquito's ability to carry and transmit viral diseases. The method motivating this research injects a safe, naturally occurring bacterium called Wolbachia into the mosquito population responsible for the spread of dengue and other arboviruses including Zika, chikungunya, and yellow fever. When successfully introduced into the mosquito population, Wolbachia prevents these viruses from replicating, which reduces the potential of transmission to humans.This dissertation addresses the statistical evaluation of the impact of studies of such mosquito-based interventions. Collecting reliable evidence for mosquito-borne interventions is often expensive and logistically prohibitive. The Cluster Randomized Test-Negative Designdiscussed in this thesis addresses many of the barriers to such vital research. In this trial setting and several variations, I propose and evaluate estimators of intervention impact. These results can be used to better inform policies and protect vulnerable populations.

Trends and underlying patterns should be identified in the timely distribution of road traffic offenses to increase traffic safety. In this study, a time series analysis was used to study the incidence rate of road traffic violations on Iranian rural roads. Road traffic volume and offenses data from March 2011 to October 2019 were aggregated. Interrupted time series were used to evaluate the impact of increasing fuel cost in June of 2013 and July of 2014 and the currency devaluation of Rial vs. US dollars in July of 2017 on trends and patterns, traffic volume, and number of offenses. A change-point detection (CPD) analysis was also used to identify singular changes in the frequency of traffic offenses. Results show a general decline in the number of overtaking and speeding offenses of −24.31% and −13.23%, respectively, due to the first increase in fuel cost. The second increase only reduced overtaking by 20.97%. In addition, Iran’s currency devaluation reduced the number of overtaking offenses by 26.39%. Modeling a change-point detection and a Mann-Kendall Test of traffic offenses in Iran, it was found that the burden of violations was reduced.

Governments have implemented social distancing measures to address the ongoing COVID-19 pandemic. The measures include instructions that individuals maintain social distance when in public, school closures, limitations on gatherings and business operations, and instructions to remain at home. Social distancing may have an impact on the volume and distribution of crime. Crimes such as residential burglary may decrease as a byproduct of increased guardianship over personal space and property. Crimes such as domestic violence may increase because of extended periods of contact between potential offenders and victims. Understanding the impact of social distancing on crime is critical for ensuring the safety of police and government capacity to deal with the evolving crisis. Understanding how social distancing policies impact crime may also provide insights into whether people are complying with public health measures. Examination of the most recently available data from both Los Angeles, CA, and Indianapolis, IN, shows that social distancing has had a statistically significant impact on a few specific crime types. However, the overall effect is notably less than might be expected given the scale of the disruption to social and economic life.

Assessing the impact of complex interventions on measurable health outcomes is a growing concern in health care and health policy. Interrupted time series (ITS) designs borrow from traditional case-crossover designs and function as quasi-experimental methodology that enables researchers to retrospectively analyze the impact of an intervention. Statistical models used to analyze ITS data a priori restrict the interruption's effect to a predetermined time point or censor data for which the intervention effects may not be fully realized, and neglect changes in the temporal dependence and variability. In addition, current methods limit the analysis to one hospital unit or entity and are not well specified for discrete outcomes (e.g., patient falls). This dissertation develops novel ITS methods based on segmented regression that address the aforementioned limitations. We propose the 'Robust-ITS' model, a single-unit model able to estimate (rather than merely assume) the lagged effect of an intervention on a health outcome. Robust-ITS accounts for plausible differences in the mean, temporal dependence and variability of an outcome pre- and post-intervention. Next, we develop the 'Robust Multiple ITS' model as an extension of Robust-ITS for multi-unit data. Alongside Robust Multiple ITS, we propose the 'supremum Wald test', able to formally test for the existence of a change point across unit specific mean functions. Lastly, we present the 'Generalized Robust ITS' model, appropriate for outcomes whose underlying distribution belongs to the family of exponential distributions. Generalized Robust ITS expands the available methodology to adequately model multi-unit binary, count and rate ITS. The methods proposed allow researchers to test for the existence of and estimate the change point, borrow information across units in multi-unit settings, and test for differences in the mean function and correlation structure pre- and post-intervention. Throughout, the methodology is il

Background Bikesharing is a versatile intervention, that enables cheap and convenient cycling for urban populations, and according to recent literature, has a positive impact on health, safety and the economy. Many of these impacts are based on the assumption of a modal shift induced by bikesharing, i.e. implementing a Bicycle Sharing System (BSS) will increase population cycling. However, the evidence is inconclusive. The aim of this study was to evaluate if the intervention of implementing a BSS increases cycling. The study was conducted using bicycle count data from Helsinki between 2014 to 2018. Methods A controlled interrupted time series design was used in combination with segmented regression as the method. An intervention series and a control series were analysed separately. The slopes (trend) and intercepts (level) of pre-intervention (2014&2015) segments were compared with post-intervention segments (2016-2018). The same analysis was performed in both intervention series and control series. ResultsThe results from the intervention series showed an increase of 105% in the level of the outcome after the implementation of the intervention. Simultaneously, the control series showed that the underlying trend of cycling remained largely unchanged during the whole study period (level increased by 3%). Stratified analysis supported these results in both intervention and control series. Conclusion The analysis of the intervention series revealed, that the level of the outcome increased sharply after the intervention, implying that the intervention had an immediate effect. However, the lack of statistical significance in the analysis of the slopes made it impossible to determine if the effect was sustained.

Background: Decreases in circulatory/respiratory morbimortality after the January-2006 Spanish partial smoke-free law have been found using designs without control groups, such as single-group interrupted time series (ITS), which are prone to biases. The aim was to reassess the law’s impact on mortality using ITS designs with robustness checks. Methods: A comprehensive cohort of people aged ≥25 in each calendar-year of 2002–2007, living in 13 of 18 Spanish regions, was followed up between 01/2002 and 12/2007. The law included a smoking ban in indoor public and workplaces, allowing exceptions in catering, hospitality and leisure venues, and other interventions. Post-law changes in monthly coronary/respiratory mortality were estimated using segmented regression, adjusting for relevant covariates, including seasonality, extreme temperatures, influenza incidence and air pollution. The validity of results was assessed using control outcomes, hypothetical law dates, and non-equivalent control groups, analysing their results as difference-in-differences (DID) designs. Results: Significant immediate post-law decreases in coronary, respiratory and non-tobacco-related mortality were observed among people aged ≥70. A significant immediate post-law decrease in respiratory mortality (−12.7%) was also observed among people age 25–69, although this was neutralized by a subsequent upward trend before 1.5 years. More favourable post-law changes in coronary/respiratory mortality among the target (people aged 25–69) than control groups (people aged ≥70 or women aged ≥80) were not identified in DID designs. Establishing hypothetical law dates, immediate decreases began in February/March 2005 with maxima between April and July 2005. Conclusions: After robustness checks, the results do not support a clear positive impact of the 2006 Spanish smoke-free law on short-term coronary/respiratory mortality. The favourable immediate changes observed pre- and post-law could derive mainly from the

Assessing the impact of complex interventions on measurable health outcomes is a growing concern in health care and health policy. Interrupted time series (ITS) designs borrow from traditional case-crossover designs and function as quasi-experimental methodology that enables researchers to retrospectively analyze the impact of an intervention. Statistical models used to analyze ITS data a priori restrict the interruption's effect to a predetermined time point or censor data for which the intervention effects may not be fully realized, and neglect changes in the temporal dependence and variability. In addition, current methods limit the analysis to one hospital unit or entity and are not well specified for discrete outcomes (e.g., patient falls). This dissertation develops novel ITS methods based on segmented regression that address the aforementioned limitations. We propose the 'Robust-ITS' model, a single-unit model able to estimate (rather than merely assume) the lagged effect of an intervention on a health outcome. Robust-ITS accounts for plausible differences in the mean, temporal dependence and variability of an outcome pre- and post-intervention. Next, we develop the 'Robust Multiple ITS' model as an extension of Robust-ITS for multi-unit data. Alongside Robust Multiple ITS, we propose the 'supremum Wald test', able to formally test for the existence of a change point across unit specific mean functions. Lastly, we present the 'Generalized Robust ITS' model, appropriate for outcomes whose underlying distribution belongs to the family of exponential distributions. Generalized Robust ITS expands the available methodology to adequately model multi-unit binary, count and rate ITS. The methods proposed allow researchers to test for the existence of and estimate the change point, borrow information across units in multi-unit settings, and test for differences in the mean function and correlation structure pre- and post-intervention. Throughout, the methodology is il

Background Bikesharing is a versatile intervention, that enables cheap and convenient cycling for urban populations, and according to recent literature, has a positive impact on health, safety and the economy. Many of these impacts are based on the assumption of a modal shift induced by bikesharing, i.e. implementing a Bicycle Sharing System (BSS) will increase population cycling. However, the evidence is inconclusive. The aim of this study was to evaluate if the intervention of implementing a BSS increases cycling. The study was conducted using bicycle count data from Helsinki between 2014 to 2018. Methods A controlled interrupted time series design was used in combination with segmented regression as the method. An intervention series and a control series were analysed separately. The slopes (trend) and intercepts (level) of pre-intervention (2014&2015) segments were compared with post-intervention segments (2016-2018). The same analysis was performed in both intervention series and control series. ResultsThe results from the intervention series showed an increase of 105% in the level of the outcome after the implementation of the intervention. Simultaneously, the control series showed that the underlying trend of cycling remained largely unchanged during the whole study period (level increased by 3%). Stratified analysis supported these results in both intervention and control series. Conclusion The analysis of the intervention series revealed, that the level of the outcome increased sharply after the intervention, implying that the intervention had an immediate effect. However, the lack of statistical significance in the analysis of the slopes made it impossible to determine if the effect was sustained.

Background: Decreases in circulatory/respiratory morbimortality after the January-2006 Spanish partial smoke-free law have been found using designs without control groups, such as single-group interrupted time series (ITS), which are prone to biases. The aim was to reassess the law’s impact on mortality using ITS designs with robustness checks. Methods: A comprehensive cohort of people aged ≥25 in each calendar-year of 2002–2007, living in 13 of 18 Spanish regions, was followed up between 01/2002 and 12/2007. The law included a smoking ban in indoor public and workplaces, allowing exceptions in catering, hospitality and leisure venues, and other interventions. Post-law changes in monthly coronary/respiratory mortality were estimated using segmented regression, adjusting for relevant covariates, including seasonality, extreme temperatures, influenza incidence and air pollution. The validity of results was assessed using control outcomes, hypothetical law dates, and non-equivalent control groups, analysing their results as difference-in-differences (DID) designs. Results: Significant immediate post-law decreases in coronary, respiratory and non-tobacco-related mortality were observed among people aged ≥70. A significant immediate post-law decrease in respiratory mortality (−12.7%) was also observed among people age 25–69, although this was neutralized by a subsequent upward trend before 1.5 years. More favourable post-law changes in coronary/respiratory mortality among the target (people aged 25–69) than control groups (people aged ≥70 or women aged ≥80) were not identified in DID designs. Establishing hypothetical law dates, immediate decreases began in February/March 2005 with maxima between April and July 2005. Conclusions: After robustness checks, the results do not support a clear positive impact of the 2006 Spanish smoke-free law on short-term coronary/respiratory mortality. The favourable immediate changes observed pre- and post-law could derive mainly from the

Access to data is a critical feature of an efficient, progressive and ultimately self-correcting scientific ecosystem. But the extent to which in-principle benefits of data sharing are realized in practice is unclear. Crucially, it is largely unknown whether published findings can be reproduced by repeating reported analyses upon shared data ('analytic reproducibility'). To investigate this, we conducted an observational evaluation of a mandatory open data policy introduced at the journal Cognition. Interrupted time-series analyses indicated a substantial post-policy increase in data available statements (104/417, 25% pre-policy to 136/ 174, 78% post-policy), although not all data appeared reusable (23/ 104, 22% pre-policy to 85/136, 62%, post-policy). For 35 of the articles determined to have reusable data, we attempted to reproduce 1324 target values. Ultimately, 64 values could not be reproduced within a 10% margin of error. For 22 articles all target values were reproduced, but 11 of these required author assistance. For 13 articles at least one value could not be reproduced despite author assistance. Importantly, there were no clear indications that original conclusions were seriously impacted. Mandatory open data policies can increase the frequency and quality of data sharing. However, suboptimal data curation, unclear analysis specification and reporting errors can impede analytic reproducibility, undermining the utility of data sharing and the credibility of scientific findings.

Background In 2009, the Western Australian (WA) Government introduced the Four-Hour Rule (FHR) program. The policy stated that most patients presenting to Emergency Departments (EDs) were to be seen and either admitted, transferred, or discharged within 4 hours. This study utilised de-identified data from five participating hospitals, before and after FHR implementation, to assess the impact of the FHR on several areas of ED functioning. Methods A state (WA) population-based intervention study design, using longitudinal data obtained from administrative health databases via record linkage methodology, and interrupted time series analysis technique. Findings There were 3,214,802 ED presentations, corresponding to 1,203,513 ED patients. After the FHR implementation, access block for patients admitted through ED for all five sites showed a significant reduction of up to 13.2% (Rate Ratio 0.868, 95%CI 0.814, 0.925) per quarter. Rate of ED attendances for most hospitals continued to rise throughout the entire study period and were unaffected by the FHR, except for one hospital. Pattern of change in ED re-attendance rate post-FHR was similar to pre-FHR, but the trend reduced for two hospitals. ED occupancy was reduced by 6.2% per quarter post-FHR for the most ‘crowded’ ED. ED length of stay and ED efficiency improved in four hospitals and deteriorated in one hospital. Time to being seen by ED clinician and Did-Not-Wait rate improved for some hospitals. Admission rates in post-FHR increased, by up to 1% per quarter, for two hospitals where the pre-FHR trend was decreasing. Conclusions The FHR had a consistent effect on ‘flow’ measures: significantly reducing ED overcrowding and access block and enhancing ED efficiency. Time-based outcome measures mostly improved with the FHR. There is some evidence of increased ED attendance, but no evidence of increased ED re-attendance. Effects on patient disposition status were mixed. Overall, this reflects the value of investing resour

Interventional researchers face many design challenges when assessing intervention implementation in real-world settings. Intervention implementation requires holding fast on internal validity needs while incorporating external validity considerations (such as uptake by diverse subpopulations, acceptability, cost, and sustainability). Quasi-experimental designs (QEDs) are increasingly employed to achieve a balance between internal and external validity. Although these designs are often referred to and summarized in terms of logistical benefits, there is still uncertainty about (a) selecting from among various QEDs and (b) developing strategies to strengthen the internal and external validity of QEDs. We focus here on commonly used QEDs (prepost designs with nonequivalent control groups, interrupted time series, and stepped-wedge designs) and discuss several variants that maximize internal and external validity at the design, execution and implementation, and analysis stages.

Objective: In November 2014, the European Medicines Agency (EMA) strengthened restrictions on the use of valproic acid in girls and women of childbearing potential. The objective of this study was to determine whether there has been a change in initiations of valproic acid treatment to females after the regulatory restrictions and to assess if such changes differed between indications (epilepsy and psychiatric disorder). Methods: An interrupted time-series analysis was conducted using all initiations of valproic acid in Stockholm, Sweden. from January 2011 to June 2017. Female and male patients aged 0-45 years with a recorded diagnosis of epilepsy and/or a psychiatric disorder were compared. Results: Before the EMA warning, a decline in trend of valproic acid initiations was seen in patients with epilepsy. After the warning, a significant decrease of valproic acid initiations was seen in women with a psychiatric disorder, but not in women with epilepsy. Significance: The regulatory warning appeared to have significantly influenced valproic acid initiations in women of childbearing age with a psychiatric disorder. No effect was seen in women with epilepsy, probably because the decline had started long before.

Background: Urinary and (peripheral and central) intravenous catheters are widely used in hospitalized patients. However, up to 56% of the catheters do not have an appropriate indication and some serious complications with the use of these catheters can occur. The main objective of our quality improvement project is to reduce the use of catheters without an appropriate indication by 25-50%, and to evaluate the affecting factors of our de-implementation strategy. Methods: In a multicenter, prospective interrupted time series analysis, several interventions to avoid inappropriate use of catheters will be conducted in seven hospitals in the Netherlands. Firstly, we will define a list of appropriate indications for urinary and (peripheral and central) intravenous catheters, which will restrict the use of catheters and urge catheter removal when the indication is no longer appropriate. Secondly, after the baseline measurements, the intervention will take place, which consists of a kick-off meeting, including a competitive feedback report of the baseline measurements, and education of healthcare workers and patients. Additional strategies based on the baseline data and local conditions are optional. The primary endpoint is the percentage of catheters with an inappropriate indication on the day of data collection before and after the de-implementation strategy. Secondary endpoints are catheter-related infections or other complications, catheter re-insertion rate, length of hospital (and ICU) stay and mortality. In addition, the cost-effectiveness of the de-implementation strategy will be calculated. Discussion: This study aims to reduce the use of urinary and intravenous catheters with an inappropriate indication, and as a result reduce the catheter-related complications. If (cost-) effective it provides a tool for a nationwide approach to reduce catheter-related infections and other complications. Trial registration: Dutch trial registry: NTR6015. Registered 9 August 2016

Background: First responders are a prime example of professionals that are at a high risk of being exposed to traumatic experiences. Reappraisal as a coping strategy might help first responders to better cope with their emotional responses to traumatic events. Objective: This study investigated the effects of repeated sessions of a digital reappraisal training among seven firefighters. The training consisted of four sessions supported by a virtual agent, conducted at home or at work, over a two-week period in a single case series. Method: Sixteen data points were collected from each participant in the eight days pre- and post-training. Results: Significantly more themes were used at post-training than at pre-training, implying more flexibility and confirming the main hypothesis of the study. Negative side effects were not reported during or in the week after the training. Conclusions: More controlled studies into the short- and long-term effects of a training of this nature are needed. Furthermore, it provides a reference for developers in this field., Interactive Intelligence

Background: First responders are a prime example of professionals that are at a high risk of being exposed to traumatic experiences. Reappraisal as a coping strategy might help first responders to better cope with their emotional responses to traumatic events. Objective: This study investigated the effects of repeated sessions of a digital reappraisal training among seven firefighters. The training consisted of four sessions supported by a virtual agent, conducted at home or at work, over a two-week period in a single case series. Method: Sixteen data points were collected from each participant in the eight days pre- and post-training. Results: Significantly more themes were used at post-training than at pre-training, implying more flexibility and confirming the main hypothesis of the study. Negative side effects were not reported during or in the week after the training. Conclusions: More controlled studies into the short- and long-term effects of a training of this nature are needed. Furthermore, it provides a reference for developers in this field., Interactive Intelligence

Occupational health researchers regularly conduct evaluative intervention research for which a randomized controlled trial (RCT) may not be the most appropriate design (eg, effects of policy measures, organizational interventions on work schedules). This article demonstrates the appropriateness of alternative designs for the evaluation of occupational health interventions, which permit causal inferences, formulated along two study design approaches: experimental (stepped-wedge) and observational (propensity scores, instrumental variables, multiple baseline design, interrupted time series, difference-in-difference, and regression discontinuity). For each design, the unique characteristics are presented including the advantages and disadvantages compared to the RCT, illustrated by empirical examples in occupational health. This overview shows that several appropriate alternatives for the RCT design are feasible and available, which may provide sufficiently strong evidence to guide decisions on implementation of interventions in workplaces. Researchers are encouraged to continue exploring these designs and thus contribute to evidence-based occupational health.

__Abtract__ Background: Appropriate hand hygiene among health care workers is the most important infection prevention measure; however, compliance is generally low. Gain-framed messages (ie, messages that emphasize the benefits of hand hygiene rather than the risks of noncompliance) may be most effective, but have not been tested. Methods: The study was conducted in a 27-bed neonatal intensive care unit. We performed an inter- rupted time series analysis of objectively measured hand disinfection events. We used electronic devices in hand alcohol dispensers, which continuously documented the frequency of hand disinfection events. In addition, hand hygiene compliance before and after the intervention period were directly observed. Results: The negative trend in hand hygiene events per patient-day before the intervention (decrease by 2.3 [standard error, 0.5] per week) changed to a significant positive trend (increase of 1.5 [0.5] per week) after the intervention (P < .001). The direct observations confirmed these results, showing a significant improvement in hand hygiene compliance from 193 of 303 (63.6%) observed hand hygiene events at pretest to 201 of 281 (71.5%) at posttest. Conclusions: We conclude that gain-framed messages concerning hand hygiene presented on screen savers may improve hand hygiene compliance.

Objectives: During an outbreak of extended-spectrum beta-lactamase (ESBL)-producing Klebsiella pneumoniae at our hospital, we performed an educational antibiotic intervention aimed at reducing prescriptions of second- and third-generation cephalosporins and preventing increased use of fluoroquinolones and carbapenems. In this report, we describe the implementation strategy used and evaluate the intervention effect according to Cochrane recommendations. Methods: New recommendations for empirical intravenous antibiotic treatment were communicated to prescribers throughout the hospital by infectious diseases physicians working with Strama (the Swedish strategic programme against antibiotic resistance). No restrictive measures were used. The intervention effect was analysed with interrupted time series (ITS) regression analysis of local and national monthly antibiotic sales data. Results: A radical immediate and sustained reduction was demonstrated for the cephalosporins targeted in the intervention, whereas consumption of piperacillin/tazobactam and penicillin G increased substantially. Fluoroquinolone and carbapenem use was essentially unchanged. The ESBL outbreak subsided and no increased resistance to piperacillin/tazobactam was detected in K. pneumoniae, Escherichia coli or Pseudomonas aeruginosa blood isolates during the 2.5 year follow-up. Conclusions: Our study clearly demonstrates that an educational intervention can have an immediate and profound effect on antibiotic prescription patterns at a large tertiary hospital. ITS regression analysis of local and national antibiotic sales data was valuable to readily assess the immediate and sustained effects of the intervention.