County-level outcomes of a rural breast cancer screening outreach strategy: a decentralized hub-and-spoke model (BSPAN2)

Impact of Access to Breast Care For West Texas Program on Early Detection and Regional Breast Cancer Mortality

INTRODUCTION

This study aimed to assess whether the Access to Breast Care for West Texas (ABC4WT) program impacted regional breast cancer detection and mortality in the Texas Council of Governments (COG)1 region.

METHODS

Interrupted time series analyses were utilized to evaluate the impact of the intervention. Spearman's rank correlation and cross-orrelation analyses were performed to assess the relationship between the total number of screenings and (i) the total number of breast cancer detected and (ii) the proportion of early-stage cancer detected and the (pre-whitened) residuals. A three-way interaction model compared pre-and post-intervention mortality in COG 1 with the COG 9 region (control).

RESULTS

Increased screening rate was associated with increased breast and early-stage cancer incidences (P = .001 and P = .002, respectively). There were significant positive cross-correlations between the total number of screenings and the total number of breast cancer detected (r = .996) and the proportion of early-stage cancer detected (r = .709) without a lag even after pre-whitening. Univariate analysis showed that regional mortality decreased with time (P < .001) and after intervention (P = .001). Multivariate analysis did not show any significant difference in time (P = .594), intervention (P = .453), and time and intervention interaction (P = .273). The three-way interaction model showed no difference in the baseline mortality and pre-intervention trend difference in COG 1 and COG 9 regions. However, there was a significant pre-post intervention trend difference in mortality COG 1 compared to the COG 9 region (P = .041).

CONCLUSION

Implementing the ABC4WT program was associated with the early detection of breast cancer and reducing regional mortality in the COG 1 region.

The effectiveness of champions in implementing innovations in health care: a systematic review

Background

Champions have been documented in the literature as an important strategy for implementation, yet their effectiveness has not been well synthesized in the health care literature. The aim of this systematic review was to determine whether champions, tested in isolation from other implementation strategies, are effective at improving innovation use or outcomes in health care.

Methods

The JBI systematic review method guided this study. A peer-reviewed search strategy was applied to eight electronic databases to identify relevant articles. We included all published articles and unpublished theses and dissertations that used a quantitative study design to evaluate the effectiveness of champions in implementing innovations within health care settings. Two researchers independently completed study selection, data extraction, and quality appraisal. We used content analysis and vote counting to synthesize our data.

Results

After screening 7566 records titles and abstracts and 2090 full text articles, we included 35 studies in our review. Most of the studies (71.4%) operationalized the champion strategy by the presence or absence of a champion. In a subset of seven studies, five studies found associations between exposure to champions and increased use of best practices, programs, or technological innovations at an organizational level. In other subsets, the evidence pertaining to use of champions and innovation use by patients or providers, or at improving outcomes was either mixed or scarce.

Conclusions

We identified a small body of literature reporting an association between use of champions and increased instrumental use of innovations by organizations. However, more research is needed to determine causal relationship between champions and innovation use and outcomes. Even though there are no reported adverse effects in using champions, opportunity costs may be associated with their use. Until more evidence becomes available about the effectiveness of champions at increasing innovation use and outcomes, the decision to deploy champions should consider the needs and resources of the organization and include an evaluation plan. To further our understanding of champions’ effectiveness, future studies should (1) use experimental study designs in conjunction with process evaluations, (2) describe champions and their activities and (3) rigorously evaluate the effectiveness of champions’ activities.

Registration

Open Science Framework (https://osf.io/ba3d2). Registered on November 15, 2020.

Supplementary Information

The online version contains supplementary material available at 10.1186/s43058-022-00315-0.

Implementation and Uptake of Rural Lung Cancer Screening

OBJECTIVE

Given the higher rates of tobacco use along with increased mortality specific to lung cancer in rural settings, low-dose CT (LDCT)-based lung cancer screening could be particularly beneficial to such populations. However, limited radiology facilities and increased geographical distance, combined with lower income and education along with reduced patient engagement, present heightened barriers to screening initiation and adherence.

METHODS

In collaboration with community leaders and stakeholders, we developed and implemented a community-based lung cancer screening program, including telephone-based navigation and tobacco cessation counseling support, serving 18 North Texas counties. Funding was available to support clinical services costs where needed. We collected data on LDCT referrals, orders, and completion.

RESULTS

To raise awareness for lung cancer screening, we leveraged our established collaborative network of more than 700 community partners. In the first year of operation, 107 medical providers referred 570 patients for lung cancer screening, of whom 488 (86%) were eligible for LDCT. The most common reasons for ineligibility were age (43%) and insufficient tobacco history (20%). Of 381 ordered LDCTs, 334 (88%) were completed. Among screened patients, 61% were current smokers and 36% had insurance coverage for the procedure. The program cost per patient was $430.

DISCUSSION

Implementation, uptake, and completion of LDCT-based lung cancer screening is feasible in rural settings. Community outreach, health promotion, and algorithm-based navigation may support such efforts. Given low lung cancer screening rates nationally and heightened lung cancer risk in rural populations, similar programs in other regions may be particularly impactful.

Long-term Mammography Adherence among Uninsured Women Enrolled in the Breast Screening and Patient Navigation (BSPAN) Program

BACKGROUND

The Breast Screening and Patient Navigation (BSPAN) Program provides access to no-cost breast cancer screening services to uninsured women in North Texas. Using data from the longitudinal BSPAN program (2012-2019), we assessed prevalence and correlates of (i) baseline adherence and (ii) longitudinal adherence to screening mammograms.

METHODS

Outcomes were baseline adherence (adherent if women received second mammogram 9-30 months after the index mammogram) and longitudinal adherence (assessed among baseline adherent women and defined as being adherent 39 months from the index mammogram). We used multivariable logistic regression and multivariable Cox proportional hazards model to assess associations of sociodemographic and clinical characteristics with baseline and longitudinal adherence, respectively.

RESULTS

Of 19,292 women, only 5,382 (27.9%) were baseline adherent. Baseline adherence was more likely among women who were partnered, preferred speaking Spanish, had poor reading ability, had prior Papanicolaou (PAP) testing, and prior screening mammograms, compared with women who were non-partnered, preferred speaking English, had good reading ability, had no prior PAP testing, and no prior screening mammograms, respectively. Of those who were baseline adherent, 4,364 (81.1%) women demonstrated longitudinal adherence. Correlates of longitudinal adherence were similar to those from baseline adherence.

CONCLUSIONS

A large proportion of baseline adherent women (>80%) achieved longitudinal adherence, which highlights the importance of concentrating resources during the second mammogram in the progression toward continued adherence.

IMPACT

Results from our unique dataset provide realistic mammography adherence rates and may be generalizable to other areas introducing no-cost screening to low-income women, independent of any regular patient-centered medical home.

A stepped randomized trial to promote colorectal cancer screening in a nationwide sample of U.S. Veterans

BACKGROUND

Colorectal cancer (CRC) screening (CRCS) facilitates early detection and lowers CRC mortality.

OBJECTIVES

To increase CRCS in a randomized trial of stepped interventions. Step 1 compared three modes of delivery of theory-informed minimal cue interventions. Step 2 was designed to more intensively engage those not completing CRCS after Step 1.

METHODS

Recruitment packets (60,332) were mailed to a random sample of individuals with a record of U.S. military service during the Vietnam-era. Respondents not up-to-date with CRCS were randomized to one of four Step 1 groups: automated telephone, telephone, letter, or survey-only control. Those not completing screening after Step 1 were randomized to one of three Step 2 groups: automated motivational interviewing (MI) call, counselor-delivered MI call, or Step 2 control. Intention-to-treat (ITT) analyses assessed CRCS on follow-up surveys mailed after each step.

RESULTS

After Step 1 (n = 1784), CRCS was higher in the letter, telephone, and automated telephone groups (by 1%, 5%, 7%) than in survey-only controls (43%), although differences were not statistically significant. After Step 2 (n = 516), there were nonsignificant increases in CRCS in the two intervention groups compared with the controls. CRCS following any combination of stepped interventions overall was 7% higher (P = 0.024) than in survey-only controls (55.6%).

CONCLUSIONS

In a nationwide study of Veterans, CRCS after each of two stepped interventions of varying modes of delivery did not differ significantly from that in controls. However, combined overall, the sequence of stepped interventions significantly increased CRCS.

Do mobile units contribute to spatial accessibility to mammography for uninsured women?

Limited spatial accessibility to mammography, and socioeconomic barriers (e.g., being uninsured), may contribute to rural disparities in breast cancer screening. Although mobile mammography may contribute to population-level access, few studies have investigated this relationship. We measured mammography access for uninsured women using the variable two-step floating catchment area (V2SFCA) method, which estimates access at the local level using estimated potential supply and demand. Specifically, we measured supply with mammography machine certifications in 2014 from FDA and brick-and-mortar and mobile facility data from the community-based Breast Screening and Patient Navigation (BSPAN) program. We measured potential demand using Census tract-level estimates of female residents aged 45-74 from 5-year 2012-2016 American Community Survey data. Using the sign test, we compared mammography access estimates based on 3 facility groupings: FDA-certified, program brick-and-mortar only, and brick-and-mortar plus mobile. Using all mammography facilities, accessibility was high in urban Dallas-Ft. Worth, low for the ring of adjacent counties, and high for rural counties outlying this ring. Brick-and-mortar-based estimates were lower for the outlying ring, and mobile-unit contribution to access was observed more in urban tracts. Weak mobile-unit contribution across the study area may indicate suboptimal dispatch of mobile units to locations. Geospatial methods could identify the optimal locations for mobile units, given existing brick-and-mortar facilities, to increase access for underserved areas.

Utilizing the Hub-and-Spoke Model to Deliver Quality Breast Imaging in a Large Health System

Healthcare systems are constantly expanding and gaining new territories. This growth is met with challenges in the organization and delivery of quality health care services to a large geographical area. The need for provider and staff coverage at the new sites often outpaces the rate at which additional providers and staff are hired. The need for new technology, equipment, and administrative support to oversee the new sites may also lag. The overall result could compromise patient experience at these outlying locations. The breast imaging division at University Hospitals Cleveland Medical Center (UHCMC) instituted many changes to support UHCMC's continual growth while focusing on consistent quality of care and optimal patient experience. Changes included adoption of the hub-and-spoke organization-design model and incorporation of the integrated practice unit (IPU) concept. In the hub-and-spoke organization-design model, full services are offered at a central hub, with additional limited services provided at the peripheral spoke sites. The IPU is a dedicated team of clinical and nonclinical personnel providing the full care cycle centered on a specific medical condition such as breast health. The breast imaging hubs and spokes are incorporated into the breast health IPUs to provide uniform quality care across a large health system. The purpose of this article is to describe how the breast imaging division, functioning as members of the breast care IPU, utilized the hub-and-spoke concept to provide quality breast imaging services throughout the expanding health system.

Effects of program scale-up on time to resolution for patients with abnormal screening mammography results

PURPOSE

Effects of geographic program expansion to rural areas on screening program outcomes are understudied. We sought to determine whether time-to-resolution (TTR) varied significantly by service delivery time period, location, and participant characteristics across 19 North Texas counties.

METHODS

We calculated proportions undergoing diagnostic follow-up and resolved ≤ 60 days. We calculated median TTR for each time period and abnormal result BI-RADS 0, 4, 5. Cox proportional hazards regressions estimated time period and patient characteristic effects on TTR. Wilcoxon rank sum tests evaluated whether TTR differed between women who did or did not transfer between counties for services.

RESULTS

TTR ranged from 14 to 17 days for BI-RADs 0, 4, and 5; 12.4% transferred to a different county, resulting in longer median TTR (26 vs. 16 days; p < .001). Of those completing follow-up, 92% were resolved ≤ 60 days (median 15 days). For BI-RAD 3, TTR was 208 days (including required 180 day waiting period). Follow-up was significantly lower for women with BI-RAD 3 (59% vs. 96%; p < .0001).

CONCLUSION

Expansion maintained timely service delivery, increasing access to screening among rural, uninsured women. Policies adding a separate quality metric for BI-RAD 3 could encourage follow-up monitoring to address lower completion and longer TTR among women with this result.

Understanding lung cancer screening behavior: Racial, gender, and geographic differences among Indiana long-term smokers

Lung cancer screening is a relatively new screening option. Inequalities related to screening behavior have been documented in other types of cancer screening. Because stage at presentation drives mortality in lung cancer, it is critical to understand factors that influence screening behavior in lung cancer screening in order to intervene. However, we must first understand where disparities exist in lung cancer screening participation in order to effectively guide intervention efforts. Therefore, the purpose of this study was to determine the association of sociodemographic (including key disparity-related variables) and knowledge with lung cancer screening behavior. This cross-sectional, descriptive study used survey methodology to collect data from 438 screening-eligible individuals in the state of Indiana between January and February 2017 and measured sociodemographic variables and knowledge about lung cancer and screening. Key sociodemographic and health status characteristics associated with screening behavior included race, geographic area of residence, income, health insurance, and family history of lung cancer. Of the variables generally reflective of disparities, key differences were noted by race and geographic area of residence with total knowledge scores as well as screening behavior, respectively. Results indicate key differences in race and geographic area of residence that may perpetuate screening behavior disparities. We have a unique opportunity at this early implementation stage in lung cancer screening to learn what variables influence screening behavior from our target patient population. This knowledge can be used to design equitable patient outreach programs, meaningful, tailored patient engagement materials, and effective patient-clinician decision support tools.