Measuring Access to Mental Health Services Among Primary Care Patients.

BACKGROUND: The lifetime risk of mental health disorders is almost 50% and, in any year, about 25% of the population have a psychiatric disorder. Many of those people are cared for in primary care settings. RESEARCH OBJECTIVE: Measure access to mental health services, such as getting counselling or prescription mental health medications, using new patient survey questions that can be added to Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys. STUDY DESIGN: Surveys were conducted with a stratified probability sample of patients receiving primary care services in a single state in 2018-2019. Medicaid and privately insured patients were surveyed by mail or telephone, respectively. RESULTS: Approximately 14% of sampled patients responded to a survey. More than 10% of privately insured respondents and about 20% of Medicaid respondents got or tried to get appointments for mental health care. About 15% of privately insured respondents and 11% of Medicaid respondents reported problems getting appointments with counselors. Only 8%-9% of respondents seeking mental health medicines reported problems getting appointments for prescriptions. A composite measure combining access to counselors and prescribers of mental health medicines evidenced adequate internal consistency reliability. Group level reliability estimates were low. CONCLUSIONS: Many respondents got or tried to get mental health services and a substantial number reported problems getting appointments or getting mental health prescriptions. The tested questions can be combined into an Access to Mental Health Care measure, which can be included in patient experience surveys for ambulatory care to monitor access to behavioral health care.

Mortality Associated with Priority Diseases in Flood-Affected Areas Using District Health Information System (DHIS2) During September-December 2022: Pakistan Experience.

OBJECTIVES: To quantify the burden of communicable diseases and characterize the most reported infections during public health emergency of floods in Pakistan. METHODS: The study's design is a descriptive trend analysis. The study utilized the disease data reported to District Health Information System (DHIS2) for the 12 most frequently reported priority diseases under the Integrated Disease Surveillance and Response (IDSR) system in Pakistan. RESULTS: In total, there were 1,532,963 suspected cases during August to December 2022 in flood-affected districts (n = 75) across Pakistan; Sindh Province reported the highest number of cases (n = 692,673) from 23 districts, followed by Khyber Pakhtunkhwa (KP) (n = 568,682) from 17 districts, Balochistan (n = 167,215) from 32 districts, and Punjab (n = 104,393) from 3 districts. High positivity was reported for malaria (79,622/201,901; 39.4%), followed by acute diarrhea (non-cholera) (23/62; 37.1%), hepatitis A and E (47/252; 18.7%), and dengue (603/3245; 18.6%). The crude mortality rate was 11.9 per 10 000 population (1824/1,532,963 [deaths/cases]). CONCLUSION: The study identified acute respiratory infection, acute diarrhea, malaria, and skin diseases as the most prevalent diseases. This suggests that preparedness efforts and interventions targeting these diseases should be prioritized in future flood response plans. The study highlights the importance of strengthening the IDSR as a Disease Early Warning System through the implementation of the DHIS2.

The persistent educational digital divide and its impact on societal inequality.

Computers and the Internet are widely recognized as fundamental to academic and future success on both the individual and the societal level. Moreover, the academic success of school-age children is now increasingly tied to access to educational technology, a reality that became even more apparent during the pandemic. While academic performance is viewed as the major outcome of using educational technology, this study looks at a crucial early stage in the educational technology value chain, specifically; 1) to what extent do students use computers and the Internet in their homes and at school and 2) what is the extent and nature of disparities in student access to educational technology. This study was conducted using the national CPS 2019 Computer and Internet Use Survey of 23,064 school age children. We used bivariate tables and multivariate logistic regression analysis to analyze the data. Results indicate that substantial disparities in the use of educational technology exist in the U.S. Overall, 28.0% of school age children reported they did not use the Internet at school or at home and another 22.8% reported using the Internet at home but not at school. Significantly, individual and community demographic characteristics and household and school technology resources contribute to these disparities. It is clear that if fundamental educational technology and the resources needed to effectively achieve academic success are unavailable in the home, then they must be provided in schools. Without educational technology and resources, the societal value added through growing use of this technology will not materialize for our students. We conclude that committing to increasing educational technology resources in the schools will have multiple future societal benefits and improve the effectiveness of the educational technology value chain.

A self-controlled case series study to measure the risk of SARS-CoV-2 infection associated with attendance at sporting and cultural events: the UK Events Research Programme events.

BACKGROUND: In 2021, whilst societies were emerging from major social restrictions during the SARS-CoV-2 pandemic, the UK government instigated an Events Research Programme to examine the risk of COVID-19 transmission from attendance at cultural events and explore ways to enable people to attend a range of events whilst minimising risk of transmission. We aimed to measure any impact on risk of COVID-19 transmission from attendance at events held at or close to commercially viable capacity using routinely collected data. METHODS: Data were obtained on attendees at Phase 3 Events Research Programme events, for which some infection risk mitigation measures were in place (i.e. evidence of vaccination or a negative lateral flow test). Attendance data were linked with COVID-19 test result data from the UK Test and Trace system. Using a self-controlled case series design, we measured the within person incidence rate ratio for testing positive for COVID-19, comparing the rate in days 3 to 9 following event attendance (high risk period) with days 1 and 2 and 10-16 (baseline period). Rate ratios were adjusted for estimates of underlying regional COVID-19 prevalence to account for population level fluctuations in infection risk, and events were grouped into broadly similar types. RESULTS: From attendance data available for 188,851 attendees, 3357 people tested positive for COVID-19 during the observation period. After accounting for total testing trends over the period, incidence rate ratios and 95% confidence intervals for positive tests were 1.16 (0.53-2.57) for indoor seated events, 1.12 (0.95-1.30) for mainly outdoor seated events, 0.65 (0.51-0.83) for mainly outdoor partially seated events, and 1.70 (1.52-1.89) for mainly outdoor unseated multi-day events. CONCLUSIONS: For the majority of event types studied in the third phase of the UK Events Research Programme, we found no evidence of an increased risk of COVID-19 transmission associated with event attendance. However, we found a 70% increased risk of infection associated with attendance at mainly outdoor unseated multi-day events. We have also demonstrated a novel use for self-controlled case series methodology in monitoring infection risk associated with event attendance.

Survey Protocols, Response Rates, and Representation of Underserved Patients: A Randomized Clinical Trial.

Importance: Surveys often underrepresent certain patients, such as underserved patients. Methods that improve their response rates (RRs) would help patient surveys better represent their experiences and assess equity and equity-targeted quality improvement efforts. Objective: To estimate the effect of adding an initial web mode to existing Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey protocols and extending the fielding period on RR and representativeness of underserved patient groups. Design, Setting, and Participants: This randomized clinical trial included 36 001 patients discharged from 46 US hospitals from May through December 2021. Data analysis was performed from May 2022 to September 2023. Exposures: Patients were randomized to 1 of 6 survey protocols: 3 standard HCAHPS protocols (mail only, phone only, mail-phone) plus 3 web-enhanced protocols (web-mail, web-phone, web-mail-phone). Main Outcomes and Measures: RR and number of respondents per 100 survey attempts (yield) were calculated and compared for each of the 6 survey protocols, overall, and by patient age, service line, sex, and race and ethnicity. Results: A total of 34 335 patients (median age range, 55-59 years; 59.3% female individuals and 40.7% male individuals) were eligible and included in the study. Of the respondents, 6.9% were Asian American or Native Hawaiian or Other Pacific Islander, 0.7% were American Indian or Alaska Native, 11.5% were Black, 17.4% were Hispanic, 61.0% were White, and 2.6% were multiracial. Of the 6 protocols, RRs were highest in web-mail-phone (36.5%), intermediate for the 3 two-mode survey protocols (mail-phone, web-mail, web-phone, 30.3%-31.1%), and lowest for the 2 single-mode protocols (mail only, phone only, 22.1%-24.3%). Web-mail-phone resulted in the highest yield for 3 racial and ethnic groups (Black, Hispanic, and White patients) and second highest for another (multiracial patients). Otherwise, the highest or second highest yield was almost always a 2-mode protocol. Mail only was the lowest-yield protocol for Black, Hispanic, and multiracial patients and phone-only was the lowest-yield protocol for White patients; these 2 protocols tied for lowest-yield for Asian American or Native Hawaiian or Other Pacific Islander patients. Gains from multimode approaches were often 2 to 3 times as large for Asian American or Native Hawaiian or Other Pacific Islander, Black, Hispanic, and multiracial patients as for White patients. Web-mail-phone had the highest RR for 6 of 8 age groups and 4 of 5 combinations of service line and sex. Conclusions and Relevance: In this randomized clinical trial, web-first multimode survey protocols significantly improved the RR and representativeness of patient surveys. The best-performing protocol based on RR and representativeness was web-mail-phone. Web-phone performed well for young and diverse patient populations, and web-mail for older and less diverse patient populations. The US Centers for Medicare & Medicaid Services will allow hospitals to use the web-mail, web-phone, and web-mail-phone protocols for HCAHPS administration beginning in 2025.

Changes in Patient Experiences of Hospital Care During the COVID-19 Pandemic.

Importance: It is important to assess how the COVID-19 pandemic was adversely associated with patients' care experiences. Objective: To describe differences in 2020 to 2021 patient experiences from what would have been expected from prepandemic (2018-2019) trends and assess correlates of changes across hospitals. Design, Setting, and Participants: This cohort study compared 2020 to 2021 data with 2018 to 2019 data from 3 900 887 HCAHPS respondents discharged from 3381 HCAHPS-participating US hospitals. The data were analyzed from 2022 to 2023. Main Outcomes and Measures: The primary outcome was an HCAHPS summary score (HCAHPS-SS), which averaged 10 HCAHPS measures. The primary analysis estimated whether HCAHPS scores from patients discharged from 2020 to 2021 differed from scores that would be expected based on quarterly and linear trends from 2018 to 2019 discharges. Secondary analyses stratified hospitals by prepandemic overall star ratings and staffing levels. Results: Of the 3 900 887 HCAHPS 2020 to 2021 respondents, 59% were age 65 years or older, and 35% (11%) were in the surgical (maternity) service lines. Compared with trends expected based on prepandemic (2018-2019) data, HCAHPS-SS was 1.2 percentage points (pp) lower for quarter (Q) 2/2020 discharges and -1.9 to -2.0 pp for Q3/2020 to Q1/2021, which then declined to -3.6 pp by Q4/2021. The most affected measures (Q4/2021) were staff responsiveness (-5.6 pp) and cleanliness (-4.9 pp); the least affected were discharge information (-1.6 pp) and quietness (-1.8 pp). Overall rating and hospital recommendation measures initially exhibited smaller-than-average decreases, but then fell as much as the more specific experience measures by Q2/2021. Quietness did not decline until Q2/2021. The HCAHPS-SS fell most for hospitals with the lowest prepandemic staffing levels; hospitals with bottom-quartile staffing showed the largest decrements, whereas top-quartile hospitals showed smaller decrements in most quarters. Hospitals with better overall prepandemic quality showed consistently smaller HCAHPS-SS drops, with effects for 5-star hospitals about 25% smaller than for 1-star and 2-star hospitals. Conclusions and Relevance: The results of this cohort study of HCAHPS-participating hospitals found that patient experience scores declined during 2020 to 2021. By Q4/2021, the HCAHPS-SS was 3.6 pp lower than would have been expected, a medium effect size. The most affected measures (staff responsiveness and cleanliness) showed large effect sizes, possibly reflecting high illness-associated hospital workforce absenteeism. Hospitals that were lower performing and less staffed prepandemic may have been less resilient to reduced staff availability and other pandemic-associated challenges. However, by Q4/2021, even prepandemic high-performing hospitals had similar declines.

Estimated incubation period distributions of mpox using cases from two international European festivals and outbreaks in a club in Berlin, May to June 2022.

BackgroundSince May 2022, an mpox outbreak affecting primarily men who have sex with men (MSM) has occurred in numerous non-endemic countries worldwide. As MSM frequently reported multiple sexual encounters in this outbreak, reliably determining the time of infection is difficult; consequently, estimation of the incubation period is challenging.AimWe aimed to provide valid and precise estimates of the incubation period distribution of mpox by using cases associated with early outbreak settings where infection likely occurred.MethodsColleagues in European countries were invited to provide information on exposure intervals and date of symptom onset for mpox cases who attended a fetish festival in Antwerp, Belgium, a gay pride festival in Gran Canaria, Spain or a particular club in Berlin, Germany, where early mpox outbreaks occurred. Cases of these outbreaks were pooled; doubly censored models using the log-normal, Weibull and Gamma distributions were fitted to estimate the incubation period distribution.ResultsWe included data on 122 laboratory-confirmed cases from 10 European countries. Depending on the distribution used, the median incubation period ranged between 8 and 9 days, with 5th and 95th percentiles ranging from 2 to 3 and from 20 to 23 days, respectively. The shortest interval that included 50% of incubation periods spanned 8 days (4-11 days).ConclusionCurrent public health management of close contacts should consider that in approximately 5% of cases, the incubation period exceeds the commonly used monitoring period of 21 days.

A Systematic Review of Strategies to Enhance Response Rates and Representativeness of Patient Experience Surveys.

BACKGROUND: Data from surveys of patient care experiences are a cornerstone of public reporting and pay-for-performance initiatives. Recently, increasing concerns have been raised about survey response rates and how to promote equity by ensuring that responses represent the perspectives of all patients. OBJECTIVE: Review evidence on survey administration strategies to improve response rates and representativeness of patient surveys. RESEARCH DESIGN: Systematic review adhering to the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines. STUDY SELECTION: Forty peer-reviewed randomized experiments of administration protocols for patient experience surveys. RESULTS: Mail administration with telephone follow-up provides a median response rate benefit of 13% compared with mail-only or telephone-only. While surveys administered only by web typically result in lower response rates than those administered by mail or telephone (median difference in response rate: -21%, range: -44%, 0%), the limited evidence for a sequential web-mail-telephone mode suggests a potential response rate benefit over sequential mail-telephone (median: 4%, range: 2%, 5%). Telephone-only and sequential mixed modes including telephone may yield better representation across patient subgroups by age, insurance type, and race/ethnicity. Monetary incentives are associated with large increases in response rates (median increase: 12%, range: 7%, 20%). CONCLUSIONS: Sequential mixed-mode administration yields higher patient survey response rates than a single mode. Including telephone in sequential mixed-mode administration improves response among those with historically lower response rates; including web in mixed-mode administration may increase response at lower cost. Other promising strategies to improve response rates include in-person survey administration during hospital discharge, incentives, minimizing survey language complexity, and prenotification before survey administration.

The hospital care experiences of older patients compared to younger patients.

BACKGROUND: Hospitals may provide less positive patient experiences for older than younger patients. METHODS: We used 2019 HCAHPS data from 4358 hospitals to compare patient-mix adjusted HCAHPS Survey scores for 19 experience of care items for patients ages 75+ versus 55-74 years and tested for interactions of age group with patient and hospital characteristics. We contrasted the age patterns observed for inpatient experiences with those among respondents to the 2019 Medicare CAHPS (MCAHPS) Survey of overall experience. RESULTS: Patients 75+ years (31% of all HCAHPS respondents) reported less-positive experiences than those 55-74 (46% of respondents) for 18 of 19 substantive HCAHPS items (mean difference -3.3% points). Age differences in HCAHPS top-box scores were large (>5 points) for 1 of 3 Nurse Communication items, 1 of 3 Doctor Communication, 2 of 2 Communication about Medication items, 1 of 2 Discharge Information items, and 2 of 3 Care Transition items. In contrast, for MCAHPS, those 75+ reported similar experiences to younger adults. The magnitude of age differences varied considerably across hospitals; some hospitals had very large age disparities for older patients (age 75+ vs. ages 55-74), while others had none. These age differences were generally smaller for patients in government and non-profit than in for-profit hospitals, and in the Pacific region than in other parts of the United States. This variation in age disparities across hospitals may help to identify best practices. CONCLUSIONS: Patients ages 75+ reported less-positive experiences than patients ages 55-74, especially for measures of communication. These differences may be specific to inpatient care. Further study should investigate the effectiveness of hospital staffs' communication with older patients. Hospital protocols designed for younger patients may need to be adjusted to meet the needs of older patients. There may also be opportunities to learn from outpatient interactions with older patients.

How responding in Spanish affects CAHPS results.

BACKGROUND: The most widely used surveys for assessing patient health care experiences in the U.S. are the Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys. Studies examining the associations of language and ethnicity with responses to CAHPS surveys have yielded inconsistent findings. More research is needed to assess the effect of responding to CAHPS surveys in Spanish. METHODS: Subjects were patients who had received care at a study community health center in Connecticut within 6 or 12 months of being sent a CAHPS survey that asks about care experiences. The survey included four multi-item measures of care plus an overall rating of the provider. Sampled patients were mailed dual language (English and Spanish) cover letters and questionnaires. Those who did not respond after follow-up mailings were contacted by bilingual interviewers to complete the survey by telephone. We tested three hypotheses for any observed differences by ethnicity and language: 1. Spanish speakers are more likely than others to choose extreme response options. 2. The semantic meaning of the Spanish translation is not the same as the English version of the questions, resulting in Spanish speakers giving different answers because of meaning differences. 3. Spanish speakers have different expectations regarding their health care than those who answer in English. Analyses compared the answers on the survey measures for three groups: non-Hispanics answering in English, Hispanics answering in English, and Hispanics answering in Spanish. RESULTS: The overall response rate was 45%. After adjusting for differences in demographic characteristics and self-rated health, those answering in Spanish gave significantly more positive reports than the other two groups on three of the five measures, and higher than the non-Hispanic respondents on a fourth. CONCLUSIONS: Those answering in Spanish gave more positive reports of their medical experiences than Hispanics and non-Hispanics answering in English. Whether these results reflect different response tendencies, different standards for care, or better care experiences is a key issue in whether CAHPS responses in Spanish need adjustment to make them comparable to responses in English.

Summary of the 2020 AHRQ research meeting on 'advancing methods of implementing and evaluating patient experience improvement using consumer assessment of healthcare providers and systems (CAHPS®) surveys'.

BACKGROUND: The Agency for Healthcare Research and Quality held a research meeting on using Consumer Assessment of Healthcare Providers and Systems (CAHPS®) data for quality improvement (QI) and evaluating such efforts. TOPICS COVERED.: Meeting addressed: 1)What has been learned about organizational factors/environment needed to improve patient experience? 2)How have organizations used data to improve patient experience? 3)What can evaluations using CAHPS data teach us about implementing successful programs to improve patient experience? KEY THEMES: Providers and stakeholders need to be engaged early and often, standardize QI processes, complement CAHPS data with other data, and compile dashboards of CAHPS scores to identify and track improvement. Rigorous study designs are valuable, but much can be learned and accomplished through practical organization-level studies.

Chromitite layers indicate the existence of large, long-lived, and entirely molten magma chambers.

The classical paradigm of the 'big magma tank' chambers in which the melt differentiates, is replenished, and occasionally feeds the overlying volcanos has recently been challenged on various grounds. An alternative school of thought is that such large, long-lived and largely molten magma chambers are transient to non-existent in Earth's history. Our study of stratiform chromitites in the Bushveld Complex-the largest magmatic body in the Earth's continental crust-tells, however, a different story. Several chromitites in this complex occur as layers up to 2 m in thickness and more than 400 kms in lateral extent, implying that chromitite-forming events were chamber-wide phenomena. Field relations and microtextural data, specifically the relationship of 3D coordination number, porosity and grain size, indicate that the chromitites grew as a 3D framework of touching chromite grains directly at the chamber floor from a basaltic melt saturated in chromite only. Mass-balance estimates imply that a few km thick column of this melt is required to form each of these chromitite layers. Therefore, an enormous volume of melt appears to have been involved in the generation of all the Bushveld chromitite layers, with half of this melt being expelled from the magma chamber. We suggest that the existence of thick and laterally extensive chromitite layers in the Bushveld and other layered intrusions supports the classical paradigm of big, albeit rare, 'magma tank' chambers.

A Coupled Biomechanical-Smoothed Particle Hydrodynamics Model for Horse Racing Tracks.

Distal limb injuries are common in racing horses and track surface properties have been associated with injury risk. To better understand how track surfaces may contribute to equine limb injury, we developed the first 3D computational model of the equine hoof interacting with a racetrack and simulated interactions with model representations of 1) a dirt surface and 2) an all-weather synthetic track. First, a computational track model using the Smoothed Particle Hydrodynamics (SPH) method with a Drucker-Prager (D-P) elastoplastic material model was developed. It was validated against analytical models and published data and then calibrated using results of a custom track testing device applied to the two racetrack types. Second, a sensitivity analysis was performed to determine which model parameters contribute most significantly to the mechanical response of the track under impact-type loading. Third, the SPH track model was coupled to a biomechanical model of the horse forelimb and applied to hoof-track impact for a horse galloping on each track surface. We found that 1) the SPH track model was well validated and it could be calibrated to accurately represent impact loading of racetrack surfaces at two angles of impact; 2) the amount of harrowing applied to the track had the largest effect on impact loading, followed by elastic modulus and cohesion; 3) the model is able to accurately simulate hoof-ground interaction and enables study of the relationship between track surface parameters and the loading on horses' distal forelimbs.

Enhancing epidemiological surveillance of the emergence of the SARS-CoV-2 Omicron variant using spike gene target failure data, England, 15 November to 31 December 2021.

When SARS-CoV-2 Omicron emerged in 2021, S gene target failure enabled differentiation between Omicron and the dominant Delta variant. In England, where S gene target surveillance (SGTS) was already established, this led to rapid identification (within ca 3 days of sample collection) of possible Omicron cases, alongside real-time surveillance and modelling of Omicron growth. SGTS was key to public health action (including case identification and incident management), and we share applied insights on how and when to use SGTS.

Adjusting for Patient Characteristics to Compare Quality of Care Provided by Serious Illness Programs.

Background: To compare serious illness programs (SIPs) using recently developed patient experience measures, adjustment must be made for patient characteristics not under control of the programs. Objectives: To develop a case-mix adjustment model to enable fair comparison of patient experience between SIPs by investigating the roles of patient characteristics, proxy response, and mode of survey administration (mail-only vs. mail with telephone follow-up) in survey responses. Methods: Using survey data from 2263 patients from 32 home-based SIPs across the United States, we fit regression models to assess the association between patient-level variables and scores for seven quality measures (Communication, Care Coordination, Help for Symptoms, Planning for Care, Support for Family and Friends, and two global assessments of care). Characteristics that are not consequences of the care the program delivered were considered as adjustors. Results: Final recommended case-mix adjustors are age, education, primary diagnosis, self-reported functional status, self-rated physical health, self-rated mental health, proxy respondent use, and response percentile (a measure of how soon a person responded compared with others in the same program and mode). Age, primary diagnosis, self-rated mental health, and proxy respondent use had the most impact on program-level scores. We also recommend adjusting for mode of survey administration. We find that up to 12 percent of pairs of programs would have their rankings reversed by adjustment. Conclusions: To ensure fair comparison of programs, scores should be case-mix adjusted for variables that influence patients' reports about care quality, but are not under the control of the program administering care.

Reliable and Valid Survey-Based Measures to Assess Quality of Care in Home-Based Serious Illness Programs.

Background: There is a pressing need for standardized measures to assess the quality of home-based serious illness care. Currently, there are no validated quality measures that are specific to home-based serious illness programs (SIPs) and the unique needs of their patients. Objective: To develop and evaluate standardized survey-based measures of serious illness care experiences for assessing and comparing quality of home-based serious illness care programs. Methods: From October 2019 through January 2020, we administered a survey to patients who received care from 32 home-based SIPs across the United States. Using the 2263 survey responses, we assessed item performance and constructed composite measures via factor analysis, evaluated item-scale correlations, estimated reliability, and examined validity by regressing overall ratings and willingness to recommend care on each composite. Results: The overall survey response rate was 36%. Confirmatory factor analyses supported five composite quality measures: Communication, Care Coordination, Help for Symptoms, Planning for Care, and Support for Family and Friends. Cronbach's alpha estimates for the composite measures ranged from 0.69 to 0.85, indicating adequate internal consistency in assessing their underlying constructs. Interprogram reliability ranged from 0.67 to 0.80 at 100 completed surveys per measure, meeting common standards for distinguishing between programs' performance. Together, the composites explained 45% of the variance in patients' overall care ratings. Communication, Care Coordination, and Planning for Care were the strongest predictors of overall ratings. Conclusion: Our analyses provide evidence of the feasibility, reliability, and validity of proposed survey-based measures to assess the quality of home-based serious illness care from the perspective of patients and their families.

Comparing Web and Mail Protocols for Administering Hospital Consumer Assessment of Healthcare Providers and Systems Surveys.

OBJECTIVE: The objective of this study was to compare results of using web-based and mail (postal) Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) data collection protocols. RESEARCH DESIGN: Patients who had been hospitalized in a New England Hospital were surveyed about their hospital experience. Patients who provided email addresses were randomized to 1 of 3 data collection protocols: web-alone, web with postal mail follow-up, and postal mail only. Those who did not provide email addresses were surveyed using postal mail only. Analyses compared response rates, respondent characteristics, and patient-reported experiences. SUBJECTS: For an 8-week period, patients were discharged from the study hospital to home. MEASURES: Measures included response rates, characteristics of respondents, 6 composite measures of their patient experiences, and 2 ratings of the hospital. RESULTS: Response rates were significantly lower for the web-only protocol than the mail or combined protocols, and those who had not provided email addresses had lower response rates. Those over 65 were more likely than others to respond to all protocols, especially for the mail-only protocols. Respondents without email addresses were older, less educated, and reported worse health than those who provided email addresses. After adjusting for respondent differences, those in the combined protocol differed significantly from the mail (postal) only respondents on 2 measures of patient experience; those in the web-only protocol differed on one. Those not providing an email address differed from those who did on one measure. CONCLUSION: If web-based protocols are used for HCAHPS surveys, adjustments for a mode of data collection are needed to make results comparable.

The development and evaluation of an HIV implementation science network in New England: lessons learned.

BACKGROUND: Describe and evaluate an implementation science network focused on HIV prevention and treatment in New England. METHODS: In 2014, we established a partnership among university researchers and community stakeholders to stimulate and support HIV-related implementation research. We solicited information from Network members through surveys, interviews at Network events, and dialog with participants. In 2017, we conducted a sociocentric network assessment of collaborations on research projects, grants, manuscripts, and consultations. RESULTS: We identified 988 connections made through the Network that resulted in 185 manuscripts published and 15 grants funded. Our experience indicated that eight factors were instrumental in building and sustaining the Network: (1) acknowledging different perspectives, (2) balancing content and expertise, (3) encouraging consistent engagement, (4) providing seed funding, (5) membership flexibility, (6) maintenance of Network interactions, (7) supporting local HIV prevention and treatment efforts, and (8) maintaining productive relationships with health departments and community-based organizations. CONCLUSIONS: Developing and maintaining a regional network on implementation science for HIV prevention and treatment is feasible and can facilitate new and productive partnerships among researchers and community organizations and members.