Saving lives through road safety risk factor interventions: global and national estimates.

Global road mortality is a leading cause of death in many low-income and middle-income countries. Data to support priority setting under current resource constraints are urgently needed to achieve Sustainable Development Goal (SDG) 3.6. This Series paper estimates the potential number of lives saved if each country implemented interventions to address risk factors for road injuries. We did a systematic review of all available evidence-based, preventive interventions for mortality reduction that targeted the four main risk factors for road injuries (ie, speeding, drink driving, helmet use, and use of seatbelt or child restraint). We used literature review variables and considered three key country-level variables (gross domestic product per capita, population density, and government effectiveness) to generate country-specific estimates on the potential annual attributable number of lives that would be saved by interventions focusing on these four risk factors in 185 countries. Our results suggest that the implementation of evidence-based road safety interventions that target the four main road safety risk factors could prevent between 25% and 40% of all fatal road injuries worldwide. Interventions addressing speed could save about 347 258 lives globally per year, and at least 16 304 lives would be saved through drink driving interventions. The implementation of seatbelt interventions could save about 121 083 lives, and 51 698 lives could be saved by helmet interventions. We identify country-specific estimates of the potential number of lives saved that would be attributable to these interventions. Our results show the potential effectiveness of the implementation and scaling of these interventions. This paper presents key evidence for priority setting on road safety interventions and shows a path for reaching SDG 3.6.

A cost study for mobile phone health surveys using interactive voice response for assessing risk factors of noncommunicable diseases.

BACKGROUND: This is the first study to examine the costs of conducting a mobile phone survey (MPS) through interactive voice response (IVR) to collect information on risk factors for noncommunicable diseases (NCD) in three low- and middle-income countries (LMIC); Bangladesh, Colombia, and Uganda. METHODS: This is a micro-costing study conducted from the perspective of the payer/funder with a 1-year horizon. The study evaluates the fixed costs and variable costs of implementing one nationally representative MPS for NCD risk factors of the adult population. In this costing study, we estimated the sample size of calls required to achieve a population-representative survey and associated incentives. Cost inputs were obtained from direct economic costs incurred by a central study team, from country-specific collaborators, and from platform developers who participated in the deployment of these MPS during 2017. Costs were reported in US dollars (USD). A sensitivity analysis was conducted assessing different scenarios of pricing and incentive strategies. Also, costs were calculated for a survey deployed targeting only adults younger than 45 years. RESULTS: We estimated the fixed costs ranging between $47,000 USD and $74,000 USD. Variable costs were found to be between $32,000 USD and $129,000 USD per nationally representative survey. The main cost driver was the number of calls required to meet the sample size, and its variability largely depends on the extent of mobile phone coverage and access in the country. Therefore, a larger number of calls were estimated to survey specific harder-to-reach sub-populations. CONCLUSION: Mobile phone surveys have the potential to be a relatively less expensive and timely method of collecting survey information than face-to-face surveys, allowing decision-makers to deploy survey-based monitoring or evaluation programs more frequently than it would be possible having only face-to-face contact. The main driver of variable costs is survey time, and most of the variability across countries is attributable to the sampling differences associated to reaching out to population subgroups with low mobile phone ownership or access.

Follicular lymphoma treatment patterns between 2000 and 2014: a SEER-Medicare analysis of elderly patients.

Aim: Characterize follicular lymphoma (FL) treatment patterns among elderly patients using a dataset with longer follow-up time. Materials & methods: Using the linked Surveillance, Epidemiology and End Results-Medicare data, we identified patients diagnosed with FL between 2000 and 2013 with claims data until 2014. We investigated the treatments received and assigned them to lines of treatment. Results: We identified 10,238 elderly patients. Over a 4.7-year median follow-up, 78% of the patients received at least first-line treatment. Fewer individuals received second-line (47%) and third-line (30%) treatments. RCHOP (rituximab, cyclophosphamide, doxorubicin, vincristine and prednisolone), RCVP (rituximab, cyclophosphamide, vincristine and prednisolone) and rituximab monotherapy were the most common treatment regimens. Conclusion: One in five elderly patients did not receive FL-directed therapy. The most common treatment regimens were limited to RCHOP, RCVP and rituximab monotherapy.

Improving success of non-communicable diseases mobile phone surveys: Results of two randomized trials testing interviewer gender and message valence in Bangladesh and Uganda.

INTRODUCTION: Although interactive voice response (IVR) is a promising mobile phone survey (MPS) method for public health data collection in low- and middle-income countries (LMICs), participation rates for this method remain lower than traditional methods. This study tested whether using different introductory messages increases the participation rates of IVR surveys in two LMICs, Bangladesh and Uganda. METHODS: We conducted two randomized, controlled micro-trials using fully-automated random digit dialing to test the impact of (1) the gender of the speaker recording the survey (i.e., survey voice); and (2) the valence of the invitation to participate in the survey (i.e., survey introduction) on response and cooperation rates. Participants indicated their consent by using the keypad of cellphones. Four study arms were compared: (1) male and informational (MI); (2) female and information (FI); (3) male and motivational (MM); and (4) female and motivational (FM). RESULTS: Bangladesh and Uganda had 1705 and 1732 complete surveys, respectively. In both countries, a majority of the respondents were males, young adults (i.e., 18-29-year-olds), urban residents, and had O-level/above education level. In Bangladesh, the contact rate was higher in FI (48.9%), MM (50.0%), and FM (55.2%) groups than in MI (43.0%); the response rate was higher in FI (32.3%) and FM (33.1%) but not in MM (27.2%) and MI (27.1%). Some differences in cooperation and refusal rates were also observed. In Uganda, MM (65.4%) and FM (67.9%) had higher contact rates than MI (60.8%). The response rate was only higher in MI (52.5%) compared to MI (45.9%). Refusal and cooperation rates were similar. In Bangladesh, after pooling by introductions, female arms had higher contact (52.1% vs 46.5%), response (32.7% vs 27.1%), and cooperation (47.8% vs 40.4%) rates than male arms. Pooling by gender showed higher contact (52.3% vs 45.6%) and refusal (22.5% vs 16.3%) rates but lower cooperation rate (40.0% vs 48.2%) in motivational arms than informational arms. In Uganda, pooling intros did not show any difference in survey rates by gender; however, pooling by intros showed higher contact (66.5% vs 61.5%) and response (50.0% vs 45.2%) rates in motivational arms than informational arms. CONCLUSION: Overall, we found higher survey rates among female voice and motivational introduction arms compared to male voice and informational introduction arm in Bangladesh. However, Uganda had higher rates for motivational intro arms only compared to informational arms. Gender and valence must be considered for successful IVR surveys. TRIAL REGISTRATION: Name of the registry: ClinicalTrials.gov. Trial registration number: NCT03772431. Date of registration: 12/11/2018, Retrospectively Registered. URL of trial registry record: https://clinicaltrials.gov/ct2/show/NCT03772431?term=03772431&cond=Non-Communicable+Disease&draw=2&rank=1. Protocol Availability: https://www.researchprotocols.org/2017/5/e81.

Remote consent approaches for mobile phone surveys of non-communicable disease risk factors in Colombia and Uganda: A randomized study.

INTRODUCTION: Automated mobile phone surveys (MPS) can be used to collect public health data of various types to inform health policy and programs globally. One challenge in administering MPS is identification of an appropriate and effective participant consent process. This study investigated the impact of different survey consent approaches on participant disposition (response characteristics and understanding of the purpose of the survey) within the context of an MPS that measured noncommunicable disease (NCD) risk factors across Colombia and Uganda. METHODS: Participants were randomized to one of five consent approaches, with consent modules varying by the consent disclosure and mode of authorization. The control arm consisted of a standard consent disclosure and a combined opt-in/opt-out mode of authorization. The other four arms consist of a modified consent disclosure and one of four different forms of authorization (i.e., opt-in, opt-out, combined opt-in/opt-out, or implied). Data related to respondent disposition and respondent understanding of the survey purpose were analyzed. RESULTS: Among 1889 completed surveys in Colombia, differences in contact, response, refusal, and cooperation rates by study arms were found. About 68% of respondents correctly identified the survey purpose, with no significant difference by study arm. Participants reporting higher levels of education and urban residency were more likely to identify the purpose correctly. Participants were also more likely to accurately identify the survey purpose after completing several survey modules, compared to immediately following the consent disclosure (78.8% vs 54.2% correct, p<0.001). In Uganda, 1890 completed surveys were collected. Though there were differences in contact, refusal, and cooperation rates by study arm, response rates were similar across arms. About 37% of respondents identified the survey purpose correctly, with no difference by arm. Those with higher levels of education and who completed the survey in English were able to more accurately identify the survey purpose. Again, participants were more likely to accurately identify the purpose of the survey after completing several NCD modules, compared to immediately following the consent module (42.0% vs 32.2% correct, p = 0.013). CONCLUSION: This study contributes to the limited available evidence regarding consent procedures for automated MPS. Future studies should develop and trial additional interventions to enhance consent for automated public health surveys, and measure other dimensions of participant engagement and understanding.

Investing in Skilled Specialists to Grow Hospital Infrastructure for Quality Improvement.

OBJECTIVES: Hospitals can reduce labor costs by hiring lowest skill possible for the job, stretching clinical hours, and reducing staff not at bedside. However, these labor constraints designed to reduce costs may paradoxically increase costs. Specialty staff, such as board-certified clinicians, can redesign health systems to evaluate the needs of complex patients and prevent complications. The aim of the study was to evaluate whether investing in skilled specialists for supporting hospital quality infrastructure improves value and performance. METHODS: We evaluated pressure injury rates as an indicator of performance in a retrospective observational cohort of 55 U.S. academic hospitals from the Vizient clinical database between 2007 and 2012. Pressure injuries were defined by U.S. Agency for Healthcare Research and Quality (AHRQ) Patient Safety Indicator 3 (PSI-03) for stage 3, 4, and unstageable pressure injuries not present on admission in hospitalized adults. We compared ratios of board-certified wound care nurses per 1000 hospital beds to hospital-acquired pressure injury rates in these hospitals using mixed-effects regression of hospital quarters. RESULTS: High-performing hospitals invested in prevention infrastructure with skilled specialists and observed performance improvements. Regression indicated that by adding one board-certified wound care nurse per 1000 hospital beds, hospitals had associated decreases in pressure injury rates by -17.7% relative to previous quarters, controlling for other interruptions. Highest performers supplied fewer skilled specialists and achieve improved outcomes. CONCLUSIONS: Skilled specialists bring important value to health systems as a representation of investment in infrastructure, and the proportion of these specialists could be scaled relative to the hospital's patient capacity. Policy should support hospitals to make investments in infrastructure to drive down patient costs and improve quality.

Patient-level Factors Associated With the Initial Management of Older Adults Diagnosed With Follicular Lymphoma: A Surveillance, Epidemiology, and End Results-Medicare Analysis.

INTRODUCTION: We evaluated patient-level factors associated with the initial management of older adults diagnosed with follicular lymphoma (FL). MATERIALS AND METHODS: Using linked Surveillance, Epidemiology, and End Results-Medicare (SEER-Medicare) data; we identified 11,500 beneficiaries aged ≥ 66 years, diagnosed with FL between 2000 and 2013. A logistic regression model was used to estimate adjusted odds ratios (AORs) for factors associated with the receipt of active treatment versus watchful waiting (WW) as an initial management strategy. A multinomial logistic regression model was used to predict factors associated with receipt of specific active treatments, namely chemoimmunotherapy, rituximab monotherapy, chemotherapy, or radiation as compared with WW. RESULTS: Overall, the initial management strategies adopted were WW (49%), chemoimmunotherapy (25%), radiation (10%), rituximab monotherapy (9%), and chemotherapy (7%). In reference to WW, grade III FL (AOR, 2.21; 95% confidence interval [CI], 1.99-2.46), increasing disease stage (Stage IV AOR, 1.80; 95% CI, 1.62-2.00), and use of preventive services (AOR, 1.18; 95% CI, 1.07-1.30) were associated with increased odds of active treatment receipt. Age > 80 years (AOR, 0.79; 95% CI, 0.71-0.87), Non-Hispanic African-American race (AOR, 0.64; 95% CI, 0.50-0.80), and state buy-in coverage (AOR, 0.81; 95% CI, 0.70-0.94) were associated with decreased odds of active treatment receipt. In reference to WW, the multinomial logistic regression model displayed differences in the receipt of rituximab-based therapies by age and comorbidity burden. Non-Hispanic African-American race and state buy-in coverage were associated with decreased odds of receiving rituximab-based therapies. CONCLUSION: The present analysis identifies disparities in the initial management of older adults with FL owing to race and socioeconomic status. Future research should examine implications for subsequent treatment and health outcomes.

Costs associated with follicular lymphoma among individuals diagnosed with non-Hodgkin lymphoma: a longitudinal analysis using SEER-Medicare data.

There is limited information on the cost burden associated with follicular lymphoma (FL) and how it compares to other non-Hodgkin lymphoma (NHL) subtypes. We examined the direct medical costs associated with FL and estimated the incremental 3-year cost of FL compared to other NHL subtypes. Using the linked Surveillance, Epidemiology and End Results-Medicare dataset, we identified 16,691 NHL patients aged 66 years or older who were diagnosed with NHL between 2007 and 2013. The mean 3-year cost among the full NHL sample was $120,120 (standard error (SE) 839). The mean 3-year cost per patient was $114,443 (SE 1738) for FL and $121,402 (SE 950) for non-FL subtypes. The incremental 3-year cost of FL compared to non-FL was US$-5458 (95% confidence interval: US$-9325 to US$-1590). Longitudinally, FL was less costly than other NHL subtypes in the first year only, and became more expensive in the second and third years.