Potential Loss Of Income Research Articles

ANALISIS TINGKAT NON-REVENUE WATER (NRW) PADA JARINGAN DISTRIBUSI SPAM PUSAT PERUMDA AIR MINUM PALANGKA RAYA

NRW is still a problem for PDAMs in Indonesia in providing drinking water for the community. This can be seen from the national average NRW level in 2021, which was 33.72% (higher than the RPJMN target of 30%). The ATR reduction strategy can be carried out correctly if the indicators or components are accurately measured. The problem is that many PDAMs need help to understand the definition or calculate ATR components according to international standards with high confidence. In this research, a water balance was prepared using WB-EasyCalc to determine the value of each ATR component with a 95% confidence level, potential loss of income, and ILI value. The results of the water balance analysis show that the ATR level at Perumda Air Minum Palangka Raya in May 2023 was 51.84%. This percentage comprises 2.19% non-revenue official consumption and 49.64% water loss. If the NRW percentage is not reduced, the potential loss of income is estimated at IDR 15,395,984,969/year. The component that causes the most water loss is physical water loss, which reaches 42.67%. The physical water loss performance indicator (ILI) has a value of 23, which is included in performance category D (extraordinary waste of resources occurs, and leak reduction programs must be prioritized). Recommendations that can be given are related to the active leak detection and pressure management.

IJCM_49A: Mortality trends of road traffic accidents due to human errors in Chhattisgarh and India (2016-2022)

Background: Road safety continues to be a major developmental issue, a public health concern and a leading cause of death and injury affecting not only the victims and their family but also the economy as a whole in terms of untimely deaths, disabilities and loss of potential income. India ranks 2nd in the number of road accidents and 1st in mortality due to RTA in the world. Road accidents are multi-causal due to interplay of various factors. These can be broadly categorized into those relating to (a) Human error (b) Road condition/ environment (c) Vehicle condition. Human errors for RTA include non-compliance to traffic rules and not using helmets and seatbelts, resulting in mortalities which can be mitigated by proper education, adherence and implementation of traffic rules. Objective: To analyze the mortality trends due to RTA by human errors in Chhattisgarh and India 2016-2022 Methodology: The RTA mortality statistics were retrieved from the Road accidents in India report published annually by the Ministry of Road Transport and Highways. A literature search was done in electronic databases like-PubMed, Google Scholar, other platforms using keywords- RTA mortality, Distracted driving Results: From 2016 to 2022, both Chhattisgarh and India experienced a steady rise in fatalities, peaking in 2022 due to overspeeding and helmet non-compliance. In 2019, India saw its peak in fatalities from alcohol-related driving, mobile use, and signal jumping, followed by a decline. Chhattisgarh experienced the highest signal jumping fatalities in 2017 and alcohol-relatedriving deaths in 2018 compared to other years Conclusion: The study reveals a decrease in road traffic accident fatalities caused by certain human errors post-2019, credited to the adoption of the Motor Vehicle Amendment Act 2019. Boosting public awareness and establishing robust surveillance measures are imperative in curbing fatalities caused by road traffic accidents (RTAs)

Human-autonomy collaboration in supervisory risk control of autonomous ships

This paper presents a method for developing and testing a risk-based control system, as a first step towards including the human supervisor explicitly in the design of the system. The result is a control system with improved decision-making capabilities compared to existing control systems. The methodology presented in the paper uses the Systems Theoretic Process Analysis (STPA) to analyse the risks of an autonomous ship within its concept of operations (CONOPS), and a Human-STPA (H-STPA) is used to analyse human responsibilities and involvement. The STPA results are then used to construct a Bayesian belief network (BBN)-based risk model to assess the operational risk of the ship. This is represented as a risk cost, describing the expected cost of consequences caused by potential hazardous events. This cost is combined with fuel costs, operations costs, and the potential loss of income if new missions are not undertaken using a supervisory risk controller (SRC). The SRC is capable of making decisions about how the ship should be safely operated and notifies the human supervisor in due time when it is necessary for them to take control. The last part of the methodology presented in this paper is testing the control system using a set of verification objectives based on results from the STPA and H-STPA. A case study involving an autonomous cargo ship with a human supervisor located in a remote operation center (ROC) is included; it shows that the proposed control system can operate the ship safely in different conditions and situations. By designing the SRC to notify the human supervisor before it reaches its operational limit, the ship is able to operate in a wider range of conditions compared to when just the autonomous control system is in charge. Hence, the proposed methodology shows promising results and provides useful insights related to shared control for autonomous ships.

MODELLING THE BANK CUSTOMER ACTIVITY DURATION BASED ON THE COX ECONOMETRIC SURVIVAL MODEL

The banking sector is constantly evolving, seeking effective ways to attract and retain clients, especially those with high financial potential. One of the ways to achieve this goal is to provide car loans at low interest rates, such as 0.01%. However, the untimely outflow of clients after repayment of the car loan becomes a significant problem for banks leading to the loss of potential income from other banking services. The research aims to evaluate the impact of selling additional banking services on increasing clients' activity duration. The research used statistics on opening new bank clients, whose first product was a car loan at an interest rate of 0.01%, from 2018 to 2022. The dataset included 9,224 records. The Cox proportional hazards model is used to determine the impact of a credit card on the duration of car loan client activity. The analysis of the model coefficients showed that with a credit card, clients closed at a rate of 0.86 of the rate of closing clients without a credit card. However, during the verification of the proportional hazard assumption, it was determined that the credit card's influence level changes significantly over time, indicating the model's inadequacy. The next phase of the study was the search for an influencing parameter that meets all the quality conditions of the Cox model. Having a credit card with at least one transaction was selected. For this model variation, all indicators of model adequacy were met. The coefficient estimation results showed that clients with an active credit card closed at a rate of 0.36 of the rate of closing clients without it. The evaluation of the active credit card impact confirms that selling a credit card allows for an increase in the bank clients' activity duration. However, a critical success factor is the sale of a credit card and its activation. The obtained research results can be used to optimize the bank's marketing and sales strategies, ensure more effective customer retention and increase the bank's profits.

Government Budgetary Slack (Case Study at The Directorate General of Highways Ministry of Public Works and Housing)

The purpose of this study is to get an in-depth picture of how the practice of revenue budget gaps in the public sector can occur and the factors that drive it. This research uses qualitative research methods with a case study approach. Data collection was conducted through interviews and supported by documentation and direct observation, the informants involved in this study were managers responsible for the revenue budgeting process at each level. The practice of budget gaps is more aimed at avoiding the risk of not achieving the target, this is also because there is no reward and punishment system for achieving revenue targets. The results showed that pseudo-budget participation and information asympization triggered budget gaps. Factors The lack of strict supervision in the budgeting process and access to stagnant information make the budget gap continue to occur. The risk of this gap practice is that the organization does not know the true optimal potential and the loss of potential income from asset utilization.

State Sovereignty Law Politics in Handling Illegal Fishing Crime in Indonesia (Case Study of Natuna Islands Sea Territory)

Indonesia is the largest archipelagic nation in the world which shares border countries with many countries. Indonesia has serious problem concerning maritime security in their territorial waters, such as Illegal, Unreported, and Unregulated Fishing (IUU). The IUU activities done by foreign-flagged fishing vessels and bringing their catch abroad is very detrimental to state finances, namely the loss of potential income for local and central govermennt. The Natuna Islands are one of the Indonesia’s outermost border islands that are rich in marine fish resources. This research aims to anaylisis the effectiveness of foreign-flagged fishing vessels burning or sinking policies based on Article 69 of Law Np. 45 of 2009 that were implemented in Natuna Sea territory. The research method used in this study is normative juridical method using literature and online data search.

Eliminating financial disincentives to living kidney donation - a call to action.

The incidence of end stage renal disease (ESRD) in the United States (US) is increasing each year. The lone curative treatment for ESRD remains kidney transplantation. Despite the demonstrated medical and economic benefits, living donor kidney transplantation (LDKT) only accounts for a small number of kidney transplantations each year. Direct and indirect costs exist that disincentivize potential living kidney donors from coming forward, such as the cost of travel and lodging, risk of death, potential loss of income due to an extended recovery time, and the inability to donate to a relative in the future if needed. Herein, we advocate for policy changes that make living kidney donation (LKD) a financially neutral process thereby incentivizing increased LDKT and mitigating the kidney donor shortage.

The timber industry in Russia under sanctions: Losses and opportunities

The article considers the prospects of the domestic timber industry in the context of sanctions restrictions. Based on the data on average annual trade flows for 2018—2020, the potential damage from trade restrictions is assessed. Particular attention is paid to the fifth package of EU sanctions, which contains the most severe restrictions on trade with Russia for a wide range of forest commodities. The potential loss of income for the Russian timber industry from the ban on exports to the EU is estimated at 3.5 billion dollars. The ban on imports from the EU countries may also be sensitive for the industry, but it should not be regarded as fatal. The possibilities of partial replacement of the deficit of products for a considerable list of goods are shown. At the same time, the violation of free trade in forest products because of sanctions becomes a new turn in the spiral of the global crisis, which began in the pandemic COVID-19. Consequently, the damage to countries imposing sanctions on Russia is also significant. The most affected will be the largest RF trading partners in Europe — Finland and Germany, as well as the Baltic States. A sharp increase in logging in the EU against the background of the energy crisis creates an additional opportunity for the Russian timber complex. The reciprocal nature of economic losses, as well as multiple examples of circumventing sanctions in other industries, suggest that the most likely scenario will be attempts to maintain trade relations while formally implementing the imposed restrictions.

Assessing alternative occupations for truck drivers in an emerging era of autonomous vehicles

This study identifies alternative occupations for heavy truck drivers and evaluates the relative attractiveness of these alternatives in terms of compensation, ease of entry and future job growth. We also evaluate the geographic correspondence between truck driving jobs and available alternatives within the same state given research evidence about geographic rigidities in job seekers. We develop two strategies for identifying alternative occupations. One approach suggests that there may not be sufficient job alternatives for a displacement of 35% or more of the truck-driving workforce. The second alternative suggests insufficient job alternatives when displacement levels exceed 50%. Despite these varied pictures, our results present some important trends among job alternatives. Most alternatives were in Job Zones 1 and 2 which require little additional training and/or education for displaced drivers. Unfortunately, the identified alternatives paid lower wages than truck-driving jobs, indicating a potential loss of income. The projected demand for alternative jobs also varied by occupation. Some alternatives are projected to have employment growth, while others are projected to have job losses. Lastly, there were geographic trends in states projected to experience greater losses of driving jobs, and that do not have sufficient alternative jobs for workers. Our findings indicate that this is particularly true for states located in Middle America. Proactive labor policies that are tailored to the regional labor market and available job alternatives will be needed to help truck drivers transition into new occupations. These policies should be particularly mindful of the specific characteristics of the truck-driving workforce.

Algorithmic (In)Tolerance: Experimenting with Beethoven’s Music on Social Media Platforms

Popular social media platforms, such as YouTube and Facebook, see insurmountable volumes of media uploaded every day. The extent of which cannot be feasibly monitored through human efforts alone to identify infringing activity. Such companies employ algorithmic methods to enforce copyright by removing or monetizing content on behalf of copyright owners; however, occasionally flagged material is misidentified as infringing. These instances represent a potential loss of income for independent artists by way of misappropriated revenue or removal of material, and time spent challenging automated decisions. This article discusses an experiment seeking to ascertain the false positive rate of YouTube’s Content ID and Facebook’s Rights Manager. This is put in the context of existing legal precedence in the United States, including the Digital Millennium Copyright Act (DMCA). The article makes recommendations for technological and logistical modifications to these systems, and it encourages public education and research on the topic.

Road Accidents Prediction and Classification

Abstract: Road accidents leads to death, disability and hospitalization of people across world which leads to loss of potential income of individual and also affects the economy of the country. For every 10 people killed during road accidents across world one person belongs to India. In year 2020, total of 3,66,138 road accidents occurred leading to loss of 1,31,714 persons lives, injuring 3,48,279 persons. Number of road accidents and damage caused by it can be reduced by identifying the factors leading to it. In this project, we are applying the concepts of data mining and machine learning to identify the various factors that affect road accidents and its severity. The application will take variety inputs such as age of vehicle, light condition, road surface condition, speed limit etc. and will use random forest machine learning algorithm to calculate the severity of a possible accident. The severity of a possible accident will be displayed on a scale of 1 to 3, 1 being the highest and 3 being the least severe so, that they drive safely and take precautions. This data can be used in future to analyze inputs and improves the accuracy of the system output. In case of severity 1 which is the case of possibility of fatal accident an alert message will be sent to police so that they can take any preventive measures and therefore this application can prove to be very helpful in reducing accident fatality rates in the country.

Deaths Due to Road Traffic Injuries- A Forensic Autopsy Study

Background: Injuries due to road traffic injuries (RTIs) depend upon various factors that include human, vehicle and environmental factors that plays a vital role before, during and after a fatal vehicular accident. Road traffic injuries involve high human suffering and monetary costs in terms of ultimately deaths, injuries and loss of potential income. Aims and Objective: The aims and objective of study was to study the incidence of death due to road traffic injuries, demographic profile including various contributary factors of victims and vehicles and to analyse the magnitude of deaths.Material & Methods:The present retrospective and cross sectional study was conducted in Forensic Medicine & Toxicology Department, Government Medical College, Amritsar. All the autopsies conducted on road traffic injuries victims during the period from Jan, 2016 to Dec, 2020 were studied. Results:Majority of cases taken up for study were males (80%) followed by females (20%), majority cases belonged to the age group of 21 -30 years (34.72%). The majority of cases (70.61 %)that met with road traffic injury happened at evening time period. Head injury was the cause of death in 42.45% cases followed by 33.88% cases having multiple injuries.Conclusions:Motorization though has enhanced the lives in this era but that has come up with some price. High priority is demanded towards the alarming rate of human loss due to RTIs. Awareness at every level including the strict formation of policies that would prevent such RTIs in future.

Income compensation options and partial budget analysis following a reduction of antimicrobial sales at the veterinary practice level

Over the years, the excessive consumption of antimicrobials (AM) by animals and humans has become a major concern at the global level, and several studies have highlighted the link between antimicrobial use (AMU) and antimicrobial resistance. Previous studies showed that, in Switzerland, every calf in the fattening process received in average seven days of AM treatment, and mainly oral group treatments. Therefore, policies to reduce the consumption of AM among veal calves should be implemented and promoted to decrease AM pressure on the microbiome. This study aimed to assess how a potential loss of income due to a reduction of AM prescriptions and sales in the Swiss veal calves sector could potentially be compensated. Partial budget models at the veterinary practice level were built to evaluate the effect on the net profit of veterinary practices, following four different national policy interventions that aim to reduce AM prescriptions for veal calves. The best-case scenarios resulted in a positive net profit. The scenarios assuming complete loss of profit from AM sales resulted in very low or negative net profit. Therefore, without financial support (e.g. through the government or other entities), veterinarians are likely to find it difficult to fully compensate the economic losses. At the practice level, income compensation mechanisms require a fundamental change of the business model. New model should be largely independent of pharmaceutical sales and should promote paid counselling on herd health management.

Assessment of within-herd seroprevalence of Anaplasma marginale antibodies and associated decreased milk production in an Iowa dairy herd

Bovine anaplasmosis, caused by the hemobacteria Anaplasma marginale ( Am ) is the most prevalent tick-transmitted disease of cattle worldwide and is associated with significant production losses in cattle. The objective of this survey was to investigate the within-herd seroprevalence of antibodies to Am and the relationship between disease status and milk production after anaplasmosis outbreak in a northern Iowa dairy herd. In 2010 anaplasmosis was diagnosed in an Iowa dairy herd composed of 680 lactating Holstein cows. Samples for serological testing by competitive ELISA were gathered from 799 animals throughout 2011 in 24 separate accessions. Information on milk production, obtained from the DHIA, was gathered from 2010 to 2013. Monthly DHIA milk production was then statistically compared with 2011 anaplasmosis serostatus. Analysis of competitive ELISA data found that 38% of the animals tested positive for bovine anaplasmosis. The DHIA milk data showed seropositive cows produced significantly less milk during 2012 ( P = 0.0041) and 2013 ( P = 0.0351) than did seronegative animals. This resulted in a mean (±SEM) difference of 1,677 ± 579 kg and 2,175 ± 1,022 kg of milk per cow during 2012 and 2013, respectively. Cows found to be seropositive for Am antibodies produced significantly less milk in subsequent lactations than seronegative cows. Therefore, subclinical anaplasmosis may represent a potential loss of income for dairy producers. Results also suggest that animals should not be assumed free of infection based on geographic location.

Quantifying the Outfield Shift Using K-Means Clustering

Sports teams constantly search for a competitive advantage (e.g. bidding for free agents or scouting nontraditional markets). As popularized by Moneyball, we focus on advanced analytics in baseball. These sabermetrics are employed to provide objective information to management and coaches to support player management and in-game strategy decisions. Though widely used at the professional level, analytics use in college baseball is limited. Air Force Academy Baseball has been one win short of qualifying for the Mountain West tournament three straight years, resulting in the loss of potential income from media payouts and exposure for future recruiting efforts. Using a K-means clustering method for defensive shifting, we calculate an overall catch probability increase of 7.4% with a shifted outfield in a one-game case study. Based on our analysis, we provide evidence that Air Force Baseball can benefit from an outfield defensive shifting scheme that drives a competitive advantage and additional wins.

INCIDENCE AND ROOT CAUSE OF UPCODING IN THE IMPLEMENTATION OF SOCIAL HEALTH INSURANCE IN RURAL PROVINCE HOSPITAL IN INDONESIA

Upcoding is one of important indicators of moral hazard and fraud in Social Health Insurance scheme. However, there seems to be little evidence about incidence of upcoding and how upcoding occurs in hospital, especially in rural province hospital. The objective of this study is to determine incidence and root cause of upcoding in the implementation of Social Health Insurance in Rural Province Hospital in Indonesia. The data used in this study were both qualitative and quantitative data (mixed method). Three hundred and sixty (360) inpatient medical records from six rural province hospitals were examined in this study. Diagnosis and procedure codes recorded in these medical records were re-coded by an independent senior coder (ISC). Codes from hospitals’ coders and codes from ISC were then re-grouped using INA-CBG casemix grouper to determine the casemix groups and the hospital tariffs. If the hospital tariff obtained by hospital coder is higher than that obtained by ISC, it is considered as upcoding. This qualitative study was conducted using Focus Group Discussion (FGD) and in-depth interviews in hospitals located in a rural province of Indonesia. In depth interview was held for two hospital directors and two officers from the Social Security Administrator (Indonesia: BadanPenyelenggaraJaminanSosial/BPJS), an agent that manages the Statutory Health Insurance (SHI). Six clinicians and six coders attended the FGD. We asked open-ended questions about their perceptions on upcoding in hospitals. The interviews were recorded and transcribed verbatim. The transcripts were then thematically analyzed. Upcoding cases were found in 11.9% (43/360) medical records. Upcoding cases were dominated by Deliveries Group 2.8% (10/360) and Female reproductive system Groups 1.7% (6/360). The potential loss of income due to upcoding was IDR 154.626.000 or 9% of hospital revenue. Appointment of non-medical doctors as internal verifiers, lack of clear coding guidelines, lack of training for doctors and coders, and poor coordination between hospital and BPJS to resolve coding disagreement were root causes of upcoding in hospital. Policies to prevent and manage upcoding should be urgently developed and implemented in the Statutory Health Insurance (SHI) program in Indonesia especially to prepare upcoding guidelines, enhance medical coding trainingregularly, increase number of coders and verification staff from medical background, and strengthen coordination for coding problem solving in hospital.

Financial toxicity and patient-reported outcomes over time: A longitudinal study of women with recurrent ovarian cancer.

6079 Background: The chronic nature of treatment for ovarian cancer (OC) can place women at increased risk of financial toxicity (FT) from ongoing direct and indirect costs coupled with potential loss of income. We explored FT and its association with anxiety, depression, and quality of life over time in women with recurrent OC. Methods: Women with recurrent OC enrolled in a longitudinal study were given the following validated instruments at baseline and every 3 months: FACIT Comprehensive Score for Financial Toxicity (COST), GAD-7 (anxiety), CES-D (depression) and FACT-Ovary. Mixed models were performed on longitudinal data over 12 months of follow-up. Multivariable analysis of demographic data was performed. Results: 225 patients were divided into low FT (top 2 terciles, n = 152) and high FT (bottom tercile, n = 73,) by baseline COST scores. The median age was 59 (range 22.9-78.9). There were no significant differences between the groups in regards to marital status, number of people in household or education level. There were significant differences between the low and high financial toxicity groups in terms of median age (low FT = 61 yrs vs. high FT = 54 yrs, p < 0.0001); race (5.4% black in low FT vs. 15.1% in high FT, p = 0.04), number of children < 18 years in the home ((p = 0.02), employment status p( < 0.0001) and annual income p( < 0.0001). On multivariable analysis, only income and age remained significantly associated with FT. The mean baseline COST score in the low FT group was 34 vs. 16 in the high FT group. Interestingly, pts with low baseline FT had significant worsening of FT over the 12 month time period while those with high FT had slight improvement over time. Consistently, the high FT group had higher scores on screening measures for anxiety and depression, as well as lower overall quality of life which persisted over time. Conclusions: Financial toxicity is a measurable and clinically relevant patient reported outcome. The cohort of women with high FT demonstrated higher mean scores on screening measures for depression and anxiety as well as persistently lower quality of life. Targeted interventions to decrease financial toxicity may provide more global improvements in mental health and quality of life.

Управление инвестиционными рисками

Purpose of research – any investment projects are currently associated with investment and future revenue generation. The future is characterized by uncertainty, incomplete and inaccurate information about the project and its internal and external conditions, changes in the factors affecting it and so on. Metodology of research – in the article, Investment Risks reflect on the implementation of investment projects, the potential loss of income, and the adverse effects of risk include loss of product, increased current and disposable costs, loss of profit or loss of profitability. An investor should be aware of the risk factors when preparing a project. This knowledge allows, first, to calculate, assess and assess the risk at the design stage of the project, and to identify its impact on the effectiveness of the project; and secondly, to avoid inconveniences, mitigate or avoid project implementation. The importance of research – risk can be catastrophic for investors if they are not properly evaluated. As a rule, the relationship between risk and expected return can be expressed as follows – the higher the level of risk, the higher the rate of return. Results of research – if the article changes the company's interaction with one of these organizations, changes will also occur with others, internal risks associated with the implementation of a specific project and the level of innovation in the project, access to raw materials, reliability of marketing research, financial, price. , risks associated with human factors, natural and other disasters, etc. includes. Internal risks can be mitigated through the right investment option, the right marketing strategy, and the diversification of capital. Unlike domestic risk, external risks cannot be influenced by private investors. The favorable environment for the investor depends on the state's investment policy. In order to minimize external risks, the state must provide political and social stability, control the environmental situation, not make any changes to the legislation that adversely affect investment activities, and provide macroeconomic stability in general. Administrative changes that limit investment activity in government regulation risks, changes in economic regulations, tax rates, interest rates, currency and securities markets, legislative changes, etc. can be referred to as Risks related to state regulation affecting investment activities include changes in existing legislation, inconsistencies, completion of laws, non-compliance with existing conditions, lack of independent courts and arbitral tribunals, support for lobbying interests of certain groups, etc. can be referred to as.

The Social Costs of Marine Litter along the East China Sea: Evidence from Ten Coastal Scenic Spots of Zhejiang Province, China

Marine litter poses numerous threats to the global environment. To estimate the social costs of marine litter in China, two stated preference methods, namely the contingent valuation model (CVM) and the choice experiment model (CEM), were used in this research. This paper conducted surveys at ten different beaches along the East China Sea in Zhejiang province in October 2017. The results indicate that approximately 74.1% of the interviewees are willing to volunteer to participate in clean-up programmes and are willing to spend 1.5 days per month on average in their daily lives, which equates to a potential loss of income of USD 1.08 per day. The willingness to pay for the removal of the main types of litter ranges from USD 0.12–0.20 per visitor across the four sample cities, which is mainly determined by the degree of the removal, the crowdedness of the beach and the visitor’s perception. The social costs are USD 1.08–1.40 per visitor when the contingent valuation method is applied and USD 1.00–1.07 per visitor when the choice experiment method is adopted, which accounts for 8–14% of the beach entrance fee. The analysis of the social costs of marine litter yielded some useful implications regarding future coastal management policy, including extra entrance fee, the quality-oriented environmental strategy and more incentives to volunteers.

Potential Strategies to Achieve Universal Influenza Vaccination for Children: Provider Attitudes in Two States

ObjectiveChildhood influenza vaccination rates remain suboptimal. Provider perceptions on strategies to achieve universal vaccination are needed. We assessed the perceptions and attitudes of primary care providers across 2 states regarding 2 strategies to potentially bolster rates: centralized reminder/recall (C-R/R), such as reminder/recall (R/R) notices from state immunization registries, and influenza vaccination by complementary community vaccinators (CCVs), such as retail pharmacies, schools, and health departments. MethodsWe sent a mailed survey to a representative sample of providers across Colorado and New York. Questions addressed R/R activities for influenza vaccine, preferences and attitudes about the health department sending C-R/R notices for influenza vaccine, and attitudes about CCVs. Bivariate analyses assessed provider perceptions and compared perceptions by state. ResultsThe overall response rate was 56% (n = 590/1052). Twenty-two percent of providers in Colorado and 33% in New York performed practice-based R/R for all patients during the 2015–16 influenza season. Eighty-one percent of providers in both states preferred the health department or had no preference for who sent C-R/R notices for influenza vaccine to their patients; most preferred to include their practice names on C-R/R messages. Many providers in both Colorado (75%) and New York (46%, P < .001) agreed that their patients like the option of having CCVs where children can receive influenza vaccine. Some providers expressed concerns regarding potential loss of income and/or difficulty documenting receipt of influenza vaccine at CCVs. ConclusionsMost providers support C-R/R, and many support CCVs to increase influenza vaccination rates. Collaborations between traditional primary care providers and CCVs might boost coverage.