Preparing Patients to Communicate with Their Doctors About Clinical Trials as a Treatment Option: Impact of a Novel Video Intervention for Patients with a Blood Cancer and Their Caregivers.

Cancer clinical trials (CCTs) are imperative for advancing cancer treatment and providing treatment options for patients; however, many barriers exist to offering and enrolling interested and eligible patients. It is crucial to equip patients and caregivers with communication skills that help them initiate and navigate conversations about the option of receiving treatment within a CCT. The aim was to assess the acceptability and impact of a novel video training for patients and caregivers that models strategies for patient-provider communication using the PACES method of healthcare communication and provides information about CCTs. The three-module training was implemented among blood cancer patients and caregivers. Using a single-arm pre-post study design, self-report surveys assessed changes in knowledge, confidence in using the PACES method, and perceived importance of, confidence in, and behavioral intention related to talking with doctors about CCTs. The Patient Report of Communication Behavior (PRCB) scale was administered. Among 192 participants, post-intervention knowledge gains were evident (p < 0.001). Confidence, importance, and likelihood to communicate about CCTs and confidence about using PACES also increased (p < 0.001); females who had never previously spoken to a provider about CCTs demonstrated greater impact (p = 0.045) than other genders. PRCB mean scores increased among patients 65+ who had never spoken to a provider about CCTs, with greater change than patients <65 (p = 0.001). This educational intervention for patients and caregivers increased knowledge about CCTs, skills in communicating with doctors about care and CCTs, and readiness to initiate conversations about CCTs as a potential treatment option.

Health Educators in State/Local Public Health Departments: Training Needs and Awareness of Emerging Areas of Public Health Practice.

Although great progress has been made to define the field of health education and provide a voluntary certification system for professionals, research about the governmental health educator and health education specialist workforce is limited. The 2017 PH WINS (Public Health Workforce Interests and Needs Survey) provides valuable data on understanding the workforce demographics, attitudes, and training needs of governmental public health workers, including health educators, and informs future investments in workforce development efforts nationally. The purpose of this article is to examine demographics, job engagement and satisfaction, training needs, certification, and other characteristics of health educators and certified health education specialists (CHES) from PH WINS. We analyzed the data to describe the health educator workforce and compared it with the national governmental workforce across a range of variables. Compared with the national 2017 PH WINS sample, health educators were relatively younger, more ethnically diverse, more likely to be educated with an advanced degree, and were predominately employed in local versus state public health agencies. Health educators sampled were significantly more knowledgeable of all public health concepts compared with the national 2017 PH WINS respondent workforce. Comparison of CHES versus non-CHES professionals is also provided, along with practice and policy implications based on the data. This is the first detailed analyses of health educators in state and local health departments, with important findings and implications related to workforce composition, satisfaction, retention, and training. Further cross-sectional workforce research is needed to understand the current strengths and gaps in the health education workforce.

Seven Years, 3 Surveys, a Changed World: The State Public Health Workforce 2014-2021.

CONTEXT: The COVID-19 pandemic and other public health challenges have increased the need for longitudinal data quantifying the changes in the state public health workforce. OBJECTIVE: To characterize the state of governmental public health workforce among state health agency (SHA) staff across the United States and provide longitudinal comparisons to 2 prior fieldings of the survey. DESIGN: State health agency leaders were invited to have their workforce to participate in PH WINS 2021. As in prior fieldings, participating agencies provided staff lists used to send e-mail invitations to employees to participate in this electronic survey. SETTING AND PARTICIPANTS: State health agency staff. MAIN OUTCOME MEASURES: PH WINS 2021 maintains the 4 primary domains from 2014 and 2017 (ie, workplace engagement, training needs assessment, emerging public health concepts, and demographics) and includes new questions related to the mental and emotional well-being; the impact of the COVID-19 pandemic on staff retention; and the workforce's awareness of and confidence in emerging public health concepts. RESULTS: The percentage of SHA staff who self-identify as Black, Indigenous, and people of color increased from 30% (95% confidence interval [CI]: 29%-32%) to 35% (95% CI: 35%-37%) between 2014 and 2021. Staff younger than 31 years accounted for 11% (95% CI: 10%-12%) of the SHA workforce in 2021 compared with 8% in 2014 (95% CI: 8%-9%). From 2014 to 2021, staff who self-identify as a woman increased from 72% (95% CI: 71%-74%) to 76% (95% CI: 75%-77%). Overall, 22% (95% CI: 21%-23%) of the SHA workforce rated their mental health as poor/fair. CONCLUSION: The 2021 PH WINS results represent unique and current perspectives on the SHA workforce and can inform future public health infrastructure investments, research, and field practice to ensure a strong public health system.

PH WINS 2021 Methodology Report.

CONTEXT: The Public Health Workforce Interests and Needs Survey (PH WINS) was fielded in 2014 and 2017 and is the largest survey of the governmental public health workforce. It captures individual employees' perspectives on key issues such as workplace engagement and satisfaction, intention to leave, training needs, ability to address public health issues, as well as collects demographic information. This article describes the methods used for the 2021 PH WINS fielding. PH WINS: PH WINS 2021 was fielded to a nationally representative sample of staff in State Health Agency-Central Offices (SHA-COs) and local health departments (LHDs) from September 13, 2021, to January 14, 2022. The instrument was revised to assess the pandemic's potential toll on the workforce, including deployment to COVID-19 response roles and well-being, and the country's renewed focus on health equity and "Racism as a Public Health Crisis." PH WINS 2021 had 3 sampling frames: SHAs, Big Cities Health Coalition (BCHC) members, and LHDs. All participating agencies were surveyed using a census approach. PARTICIPATION: Overall, staff lists for 47 SHAs, 29 BCHC members, and 259 LHDs were collected, and the survey was sent to 137 446 individuals. PH WINS received a total of 44 732 responses, 35% of eligible respondents. The nationally representative SHA-CO frame includes a total of 14 957 individuals, and the nationally representative LHD frame includes 26 933 individuals from 439 LHDs (decentralized and nondecentralized). CONSIDERATIONS FOR ANALYSIS: PH WINS now offers a multiyear, nationally representative sample of both SHA-CO and LHD staff. Both practice and academia can use PH WINS to better understand the strengths, needs, and opportunities of the workforce. When using PH WINS for additional data analysis, there are a number of considerations both within the 2021 data set and when conducting multiyear and multiple cross-sectional analyses.

Recovery and Resiliency in 29 Big Cities: Results From the 2021 Public Health Workforce Interests and Needs Survey.

CONTEXT: Big Cities Health Coalition member health departments (BCHC HDs) serve more than 61 million people across their jurisdictions, nearly 20% of the US population. As such, they have particular challenges and opportunities in how they do their work. This article focuses on BCHC HDs that participated in the 2021 Public Health Workforce Interests and Needs Survey (PH WINS) and describes workplace perceptions, training needs, COVID-19 efforts, and well-being. OBJECTIVE: To describe key characteristics of the governmental public health workforce among BCHC HDs, including demographics, perceptions, and needs. DESIGN: Using a subsample of data from the 2021 PH WINS that included 29 BCHC HDs, descriptive statistics on many of the topics covered by the 2021 PH WINS were analyzed and compared with the 2017 PH WINS. SETTING: Twenty-nine BCHC HDs in cities across the United States. PARTICIPANTS: In total, 7922 of 29 661 staff members (response rate of 27%) from participating BCHC HDs. RESULTS: Most BCHC HD respondents self-identified as a woman (76%, 95% confidence interval [CI]: 75%-77%), and as Black, Indigenous, and people of color (69%, 95% CI: 68%-70%), similar to findings from the 2017 PH WINS (75%, 95% CI: 74%-76%; 67%, 95% CI: 66%-69%, respectively). Most respondents believe that their organization prioritizes diversity, equity, and inclusion (70%, 95% CI: 69%-72%). Thirty percent (95% CI: 29%-32%) intend to leave their organizations within 1 year, and 18% (95% CI: 17%-19%) plan to retire within 5 years. Staff connect their work with agency goals and priorities (86%, 95% CI: 85%-87%) and are determined to give their best effort every day (91%, 95% CI: 90%-91%). CONCLUSION: As the need for an all-encompassing focus on COVID-19 lessons, BCHC HDs should continue to focus on prioritizing staff retention, enhancing communication between senior staff and employees, and fostering an environment where innovation and creativity are rewarded.

Building a Sustainable Governmental Public Health Workforce: A Look at the Millennial Generation.

CONTEXT: Millennials have had a profound impact on society, the economy, and the US workforce. This study used generational definitions published by the Pew Research Center. Millennials includes respondents who reported an age between 21 and 36 years (born in 1981-1996) at the time the 2017 Public Health Workforce Interests and Needs Survey (PH WINS) was administered. Generation X includes respondents who reported an age between 37 and 52 years (born in 1965-1980), and the baby boom generation (baby boomers) includes respondents between 53 and 71 years of age (born in 1946-1964). Public sector agencies, including governmental public health, are increasingly interested in figuring out how to attract and retain millennials. As the governmental public health workforce anticipates upcoming retirements, knowledge about the motivations and organizational characteristics that appeal to millennials is crucial to understanding the millennial workforce and workplace dynamics for decades to come. In 2017, millennials made up 22% of the governmental public health workforce, Generation X 40%, and baby boomers 37%. OBJECTIVE: This study examined opinions, expectations, and important workplace environment factors of millennials working in governmental public health compared with other generations. DESIGN: We performed bivariate analyses and fit a logistic regression model to evaluate the association of generation with responses to a set of satisfaction and engagement PH WINS survey questions. SETTING AND PARTICIPANTS: Data were drawn from the 2017 PH WINS of governmental health department employees, including state health agency and local health department staff. PH WINS excludes local health departments with fewer than 25 staff members or serving fewer than 25 000 people. PH WINS included responses from 47 604 staff members, which reflected a 48% overall response rate. RESULTS: The generations that were examined (millennials, Generation X, and baby boomers) were similarly satisfied with their jobs, organizations, and pay security, and millennials intended to leave their jobs for similar reasons as other generations. Millennials reported more strongly than other generations that their supervisors treated them with respect, that they had sufficient training to utilize technology, that their training needs are assessed, and that creativity and innovation were rewarded. They, however, reported less strongly that they were completely involved in their work and determined to give their best every day. CONCLUSIONS: Millennials in governmental public health agencies (excluding local health departments with <25 staff members or serving <25 000 people) may not be as different from other generations as previously thought. Governmental public health agencies should focus on highlighting workplace environment factors rated highly by millennials and on showcasing how careers in governmental public health could be attractive career options for millennials.

Leveraging Existing Birth Defects Surveillance Infrastructure to Build Neonatal Abstinence Syndrome Surveillance Systems - Illinois, New Mexico, and Vermont, 2015-2016.

Neonatal abstinence syndrome (NAS) is a drug withdrawal syndrome that can occur following prenatal exposure to opioids (1). NAS surveillance in the United States is based largely on diagnosis codes in hospital discharge data, without validation of these codes or case confirmation. During 2004-2014, reported NAS incidence increased from 1.5 to 8.0 per 1,000 U.S. hospital births (2), based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes identified in hospital discharge data, without case confirmation. However, little is known about how well these codes identify NAS or how the October 1, 2015, transition from ICD-9-CM to the tenth revision of ICD-CM (ICD-10-CM) codes affected estimated NAS incidence. This report describes a pilot project in Illinois, New Mexico, and Vermont to use birth defects surveillance infrastructure to obtain state-level, population-based estimates of NAS incidence among births in 2015 (all three states) and 2016 (Illinois) using hospital discharge records and other sources (varied by state) with case confirmation, and to evaluate the validity of NAS diagnosis codes used by each state. Wide variation in NAS incidence was observed across the three states. In 2015, NAS incidence for Illinois, New Mexico, and Vermont was 3.0, 7.5, and 30.8 per 1,000 births, respectively. Among evaluated diagnosis codes, those with the highest positive predictive values (PPVs) for identifying confirmed cases of NAS, based on a uniform case definition, were drug withdrawal syndrome in a newborn (ICD-9-CM code 779.5; state range = 58.6%-80.2%) and drug withdrawal, infant of dependent mother (ICD-10-CM code P96.1; state range = 58.5%-80.2%). The methods used to assess NAS incidence in this pilot project might help inform other states' NAS surveillance efforts.

Unleashing the Creativity and Innovation of Our Greatest Resource-The Governmental Public Health Workforce.

CONTEXT: Creativity and innovation in the governmental public health workforce will be required to generate new ideas to solve complex problems that extend beyond traditional public health functions such as disease surveillance and monitoring. Creativity and innovation can promote and advance necessary organizational transformation as well as improve organizational culture and workplace environment by motivating employees intrinsically. However, there is little empirical evidence on how rewarding creativity and innovation in governmental public health departments is associated with organizational culture and workplace environments. OBJECTIVE: This study describes (1) the degree to which creativity and innovation are rewarded in governmental public health agencies and (2) associations between rewarding creativity and innovation and worker satisfaction, intent to leave, and workplace characteristics. DESIGN: The cross-sectional Public Health Workforce Interests and Needs Survey (PH WINS) was administered using a Web-based platform in fall 2017. SETTINGS AND PARTICIPANTS: Data used for these analyses were drawn from the 2017 PH WINS of governmental health department employees. This included state health agency and local health department staff. PH WINS included responses from 47 604 staff members, which reflected a 48% overall response rate. PH WINS excludes local health departments with fewer than 25 staff or serving fewer than 25 000 people. RESULTS: Fewer than half of all workers, regardless of demographic group and work setting, reported that creativity and innovation were rewarded in their workplace. Most measures of worker satisfaction and workplace environment were significantly more positive for those who reported that creativity and innovation were rewarded in their workplace. CONCLUSION: This research suggests that promoting creativity and innovation in governmental public health agencies not only could help lead the transformation of governmental public health agencies but could also improve worker satisfaction and the workplace environment in governmental public health agencies.

Implications for Improving Fetal Death Vital Statistics: Connecting Reporters' Self-Identified Practices and Barriers to Third Trimester Fetal Death Data Quality in New York City.

OBJECTIVES: Perinatal mortality prevention strategies that target fetal deaths often utilize vital records data sets shown to contain critical quality deficiencies. To understand the causes of deficient data, we linked survey responses of fetal death reporters with facility fetal death data quality indicators. METHODS: In 2011, we surveyed the person most responsible for fetal death reporting at New York City healthcare facilities on their attitudes, barriers, and practices regarding reporting. We compared responses by 2 facility data quality indicators (data completeness and ill-defined cause of fetal death) for third trimester fetal death registrations using Chi squared tests. RESULTS: Thirty-nine of 50 facilities completed full questionnaires (78 % response rate); responding facilities reported 84 % (n = 11,891) of all 2011 fetal deaths, including 329 third trimester fetal deaths. Facilities citing ≥1 reporting barrier were approximately five times more likely to have incomplete third trimester registrations than facilities citing no substantial barriers (37.5 vs 7.9 %; RR 4.7; 95 % CI [1.6-14.2]). Reported barriers included onerous reporting requirements (n = 10; 26 %) and competing physician priorities (n = 11; 28 %). Facilities citing difficulty involving physicians in reporting were more likely to report fetal deaths with nonspecific cause-of-death information (70.9 vs 56.6 %; RR 1.3; 95 % CI [1.1-1.5]). CONCLUSIONS: Self-reported challenges correlate with completeness and accuracy of reported fetal death data, suggesting that such barriers are likely contributing to low quality data. We identified several improvement opportunities, including in-depth training and reducing the information collected, especially for early fetal deaths (<20 weeks' gestation), the majority of events reported.

Validation of selected items on the 2003 U.S. standard certificate of live birth: New York City and Vermont.

OBJECTIVE: We assessed the validity of selected items on the 2003 revised U.S. Standard Certificate of Live Birth to understand the accuracy of new and existing items. METHODS: We calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of select variables reported on the birth certificate using the medical record as the gold standard for a representative sample of live births in New York City (n=603) and Vermont (n=664) in 2009. RESULTS: In both sites, sensitivity was excellent (>90%) for Medicaid coverage at delivery, any previous live births, and current method of delivery; sensitivity was moderate (70%-90%) for gestational diabetes; and sensitivity was poor (<70%) for premature rupture of the membranes and gestational hypertension. In both sites, PPV was excellent for Medicaid coverage, any previous live births, previous cesarean delivery, and current method of delivery, and poor for premature rupture of membranes. In both sites, almost all items had excellent (>90%) specificity and NPV. CONCLUSION: Further research is needed to determine how best to improve the quality of data on the birth certificate. Future revisions of the birth certificate may consider removing those items that have consistently proven difficult to report accurately.

Effect of cause-of-death training on agreement between hospital discharge diagnoses and cause of death reported, inpatient hospital deaths, New York City, 2008-2010.

INTRODUCTION: Accurate cause-of-death reporting is required for mortality data to validly inform public health programming and evaluation. Research demonstrates overreporting of heart disease on New York City death certificates. We describe changes in reported causes of death following a New York City health department training conducted in 2009 to improve accuracy of cause-of-death reporting at 8 hospitals. The objective of our study was to assess the degree to which death certificates citing heart disease as cause of death agreed with hospital discharge data and the degree to which training improved accuracy of reporting. METHODS: We analyzed 74,373 death certificates for 2008 through 2010 that were linked with hospital discharge records for New York City inpatient deaths and calculated the proportion of discordant deaths, that is, death certificates reporting an underlying cause of heart disease with no corresponding discharge record diagnosis. We also summarized top principal diagnoses among discordant reports and calculated the proportion of inpatient deaths reporting sepsis, a condition underreported in New York City, to assess whether documentation practices changed in response to clarifications made during the intervention. RESULTS: Citywide discordance between death certificates and discharge data decreased from 14.9% in 2008 to 9.6% in 2010 (P < .001), driven by a decrease in discordance at intervention hospitals (20.2% in 2008 to 8.9% in 2010; P < .001). At intervention hospitals, reporting of sepsis increased from 3.7% of inpatient deaths in 2008 to 20.6% in 2010 (P < .001). CONCLUSION: Overreporting of heart disease as cause of death declined at intervention hospitals, driving a citywide decline, and sepsis reporting practices changed in accordance with health department training. Researchers should consider the effect of overreporting and data-quality changes when analyzing New York City heart disease mortality trends. Other vital records jurisdictions should employ similar interventions to improve cause-of-death reporting and use linked discharge data to monitor data quality.

How well do birth records serve maternal and child health programs? Birth registration system evaluation, New York City, 2008-2011.

National birth registration guidelines were revised in 2003 to improve data quality; however, few studies have evaluated the impact on local jurisdictions and their data users. In New York City (NYC), approximately 125,000 births are registered annually with the NYC Department of Health and Mental Hygiene, and data are used routinely by the department's maternal and child health (MCH) programs. In order to better meet MCH program needs, we used Centers for Disease Control and Prevention guidelines to assess birth data usefulness, simplicity, data quality, timeliness and representativeness. We interviewed birth registration and MCH program staff, reviewed a 2009 survey of birth registrars (n = 39), and analyzed 2008-2011 birth records for timeliness and completeness (n = 502,274). Thirteen MCH programs use birth registration data for eligibility determination, needs assessment, program evaluation, and surveillance. Demographic variables are used frequently, nearly 100 % complete, and considered the gold standard by programs; in contrast, medical variables' use and validity varies widely. Seventy-seven percent of surveyed birth registrars reported ≥1 problematic items in the system; 64.1 % requested further training. During 2008-2011, the median interval between birth and registration was 5 days (range 0-260 days); 11/13 programs were satisfied with timeliness. The NYC birth registration system provides local MCH programs useful, timely, and representative data. However, some medical items are difficult to collect, of low quality, and rarely used. We recommend enhancing training for birth registrars, continuing quality improvement efforts, increasing collaboration with program users, and removing consistently low-quality and low-use variables.

Validation of self-reported maternal and infant health indicators in the Pregnancy Risk Assessment Monitoring System.

To assess the validity of self-reported maternal and infant health indicators reported by mothers an average of 4 months after delivery. Three validity measures-sensitivity, specificity and positive predictive value (PPV)-were calculated for pregnancy history, pregnancy complications, health care utilization, and infant health indicators self-reported on the Pregnancy Risk Assessment Monitoring System (PRAMS) questionnaire by a representative sample of mothers delivering live births in New York City (NYC) (n = 603) and Vermont (n = 664) in 2009. Data abstracted from hospital records served as gold standards. All data were weighted to be representative of women delivering live births in NYC or Vermont during the study period. Most PRAMS indicators had >90 % specificity. Indicators with >90 % sensitivity and PPV for both sites included prior live birth, any diabetes, and Medicaid insurance at delivery, and for Vermont only, infant admission to the NICU and breastfeeding in the hospital. Indicators with poor sensitivity and PPV (<70 %) for both sites (i.e., NYC and Vermont) included placenta previa and/or placental abruption, urinary tract infection or kidney infection, and for NYC only, preterm labor, prior low-birth-weight birth, and prior preterm birth. For Vermont only, receipt of an HIV test during pregnancy had poor sensitivity and PPV. Mothers accurately reported information on prior live births and Medicaid insurance at delivery; however, mothers' recall of certain pregnancy complications and pregnancy history was poor. These findings could be used to prioritize data collection of indicators with high validity.

Understanding perinatal death: a systematic analysis of New York City fetal and neonatal death vital record data and implications for improvement, 2007-2011.

We aimed to compare demographic, medical, and cause-of-death information reported for third-trimester fetal and neonatal death vital records collected in New York City (NYC) before and after implementation of the revised fetal death certificate to identify: (1) the limitations of combining fetal and neonatal death records for the purpose of perinatal death prevention; and (2) improvement opportunities for fetal death vital records registration. Using Chi squared tests, we compared data completeness and cause-of-death information between third-trimester NYC fetal (n = 1,930) and neonatal deaths (n = 735) from 2007 to 2011. We also compared fetal death data before and after the 2011 implementation of the 2003 United States (US) Standard Report of Fetal Death and an electronic reporting system. Compared with neonatal deaths, fetal death data were generally less complete (P < 0.0001). Fetal death data much more frequently reported an ill-defined cause of death (67 vs. 5 %). Most ill-defined reported causes of fetal death (73 %) were attributed to stillbirth synonyms (e.g., "fetal demise"). Ill-defined causes of fetal death decreased from 68 to 61 % (P < 0.01) after 2011. Both data completeness and ill-defined causes of death varied widely by hospital. In NYC, fetal deaths lack demographic, medical, and cause-of-death information compared with neonatal deaths, with implications for research that uses combined perinatal mortality data sets. Electronic implementation of the US Standard Report of Fetal Death minimally improved cause-of-death information. Substantial variability by hospital suggests opportunities for improvement exist.

Evaluating New York City's abortion reporting system: insights for public health data collection systems.

CONTEXT: New York City (NYC) mandates reporting of all abortion procedures. These reports enable tracking of abortion incidence and underpin programs, policy, and research. Since January 2011, the majority of abortion facilities must report electronically. OBJECTIVES: We conducted an evaluation of NYC's abortion reporting system and its transition to electronic reporting. We summarize the evaluation methodology and results and draw lessons relevant to other vital statistics and public health reporting systems. DESIGN: The evaluation followed Centers for Disease Control and Prevention guidelines for evaluating public health surveillance systems. We interviewed key stakeholders and conducted a data provider survey. In addition, we compared the system's abortion counts with external estimates and calculated the proportion of missing and invalid values for each variable on the report form. Finally, we assessed the process for changing the report form and estimated system costs. SETTING: NYC Health Department's Bureau of Vital Statistics. MAIN OUTCOME MEASURES: Usefulness, simplicity, flexibility, data quality, acceptability, sensitivity, timeliness, and stability of the abortion reporting system. RESULTS: Ninety-five percent of abortion data providers considered abortion reporting important; 52% requested training regarding the report form. Thirty percent reported problems with electronic biometric fingerprint certification, and 18% reported problems with the electronic system's stability. Estimated system sensitivity was 88%. Of 17 variables, education and ancestry had more than 5% missing values in 2010. Changing the electronic reporting module was costly and time-consuming. System operating costs were estimated at $80 136 to $89 057 annually. CONCLUSIONS: The NYC abortion reporting system is sensitive and provides high-quality data, but opportunities for improvement include facilitating biometric certification, increasing electronic platform stability, and conducting ongoing outreach and training for data providers. This evaluation will help data users determine the degree of confidence that should be placed on abortion data. In addition, the evaluation results are applicable to other vital statistics reporting and surveillance systems.

Validation of obstetric estimate of gestational age on US birth certificates.

OBJECTIVE: The birth certificate variable obstetric estimate of gestational age (GA) has not been previously validated against GA based on estimated date of delivery from medical records. STUDY DESIGN: We estimated sensitivity, specificity, positive predictive value, negative predictive value and the corresponding 95% confidence intervals (CIs) for preterm delivery (<37 weeks' gestation) based on obstetric estimate using estimated date of delivery-based GA as the gold standard. Trained abstractors obtained the estimated date of delivery from the prenatal record (64.8% in New York City, and 94.6% in Vermont), or, when not available, from the hospital delivery record for 2 population-based samples: 586 live births delivered in New York City and 649 live births delivered in Vermont during 2009. Weights were applied to account for nonresponse and sampling design. RESULTS: In New York City, the preterm delivery rate based on estimated date of delivery was 9.7% (95% CI, 7.6-12.4) and 8.2% (95% CI, 6.3-10.6) based on obstetric estimate; in Vermont, it was 6.8% (95% CI, 5.4-8.4) based on estimated date of delivery and 6.3% (95% CI, 5.1-7.8) based on obstetric estimate. In New York City, sensitivity of obstetric estimate-based preterm delivery was 82.5% (95% CI, 69.4-90.8), specificity 98.1% (95% CI, 96.4-99.1), positive predictive value 98.0% (95% CI, 95.2-99.2), and negative predictive value 98.8% (95% CI, 99.6-99.9). In Vermont, sensitivity of obstetric estimate-based preterm delivery was 93.8% (95% CI, 81.8-98.1), specificity 99.6% (95% CI, 98.5-99.9), positive predictive value 100%, and negative predictive value 100%. CONCLUSION: Obstetric estimate-based preterm delivery had excellent specificity, positive predictive value and negative predictive value. Sensitivity was moderate in New York City and excellent in Vermont. These results suggest obstetric estimate-based preterm delivery from the birth certificate is useful for the surveillance of preterm delivery.

Programmatic impact of 5 years of mortality surveillance of New York City homeless populations.

A homeless mortality surveillance system identifies emerging trends in the health of the homeless population and provides this information to key stakeholders in a timely and ongoing manner to effect evidence-based, programmatic change. We describe the first 5 years of the New York City homeless mortality surveillance system and, for the first time in peer-reviewed literature, illustrate the impact of key elements of sustained surveillance (i.e., timely dissemination of aggregate mortality data and real-time sharing of information on individual homeless decedents) on the programs of New York City's Department of Homeless Services. These key elements had a positive impact on the department's programs that target sleep-related infant deaths and hypothermia, drug overdose, and alcohol-related deaths among homeless persons.