Perceived Barriers to Pap Screening Influence Adherence to Screening Recommendations Among Black Women.

Objectives: The aim of this study was to determine the Health Belief Model (HBM) constructs associated with Pap screening adherence among a sample of African American and sub-Saharan African immigrant women in the United States. Methods: A descriptive cross-sectional study was conducted via an online survey. Participants were recruited from central Kentucky counties. Ninety-one eligible women participated (mean age 38 ± 12 years), 49.5% identified as African American. Twenty-nine percent indicated never being screened or not being up-to-date. Self-reported demographic data, HBM constructs for Pap screening, and Pap screening history were collected. Bivariate and logistic regressions were performed. Results: There was a significant negative association between perceived barriers and being up-to-date. For every one-point increase in perceived barriers, the odds of being up-to-date decreased by 81%, (p = 0.004; CI: 0.06-0.60), findings from further evaluation of the barrier construct showed that barriers significantly associated with screening include items related to lack of knowledge about where to get a Pap screening, lack of time to attend the screening, screening-associated shame and pain, negligence, and age. There were no other significant HBM constructs associated with up-to-date Pap screening status. There was no difference in perceived barriers between African American and sub-Saharan African women. Conclusions: Despite public health efforts to decrease screening barriers, a perception of barriers exists among Black women. Continued efforts to address screening barriers as well as the perception of barriers are warranted among Black women.

Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review.

BACKGROUND: Despite the potential of mobile health (mHealth) interventions to facilitate the early detection of signs of heart failure (HF) decompensation and provide personalized management of symptoms, the outcomes of such interventions in patients with HF have been inconsistent. As engagement with mHealth is required for interventions to be effective, poor patient engagement with mHealth interventions may be associated with mixed evidence. It is crucial to understand how engagement with mHealth interventions is measured in patients with HF, and the effects of engagement on HF outcomes. OBJECTIVE: In this review, we aimed to describe measures of patient engagement with mHealth interventions and the effects of engagement on HF outcomes. METHODS: We conducted a systematic literature search in 7 databases for relevant studies published in the English language from 2009 to September 2021 and reported the descriptive characteristics of the studies. We used content analysis to identify themes that described patient engagement with mHealth interventions in the qualitative studies included in the review. RESULTS: We synthesized 32 studies that operationalized engagement with mHealth interventions in 4771 patients with HF (3239/4771, 67.88%, male), ranging from a sample of 7 to 1571 (median 53.3) patients, followed for a median duration of 90 (IQR 45-180) days. Patient engagement with mHealth interventions was measured only quantitatively based on system usage data in 72% (23/32) of the studies, only qualitatively based on data from semistructured interviews and focus groups in 6% (2/32) of studies, and by a combination of both quantitative and qualitative data in 22% (7/32) of studies. System usage data were evaluated using 6 metrics of engagement: number of physiological parameters transmitted (19/30, 63% studies), number of HF questionnaires completed (2/30, 7% studies), number of log-ins (4/30, 13% studies), number of SMS text message responses (1/30, 3% studies), time spent (5/30, 17% studies), and the number of features accessed and screen viewed (4/30, 13% studies). There was a lack of consistency in how the system usage metrics were reported across studies. In total, 80% of the studies reported only descriptive characteristics of system usage data. The emotional, cognitive, and behavioral domains of patient engagement were identified through qualitative studies. Patient engagement levels ranged from 45% to 100% and decreased over time. The effects of engagement on HF knowledge, self-care, exercise adherence, and HF hospitalization were inconclusive. CONCLUSIONS: The measures of patient engagement with mHealth interventions in patients with HF are underreported and lack consistency. The application of inferential analytical methods to engagement data is extremely limited. There is a need for a working group on mHealth that may consolidate the previous operational definitions of patient engagement into an optimal and standardized measure.

Social support and cervical cancer screening among sub-Saharan African immigrant (SAI) women.

BACKGROUND: Low rates of Papanicolaou (Pap) screening among sub-Saharan African immigrant (SAI) women in the US contribute to cancer diagnoses at late stages and high mortality rates. This study was conducted to examine if social support, positively associated with preventive health practices, was predictive of Pap screening in a sample of SAI women. METHODS: We conducted a cross-sectional study with SAI women who recently immigrated to the US. Participants completed a survey to assess ever having had Pap screening and social support using the Medical Outcomes Study Social Support Survey. RESULTS: Among the 108 SAI women in our study, Pap screening uptake was 65.7%. Affectionate and positive social support were each associated with Pap screening [adjusted odds ratio (AOR) = 1.73 (1.05, 2.87) and 1.68 (1.01, 2.78), respectively]. DISCUSSION: These findings suggest that consideration should be given to strengthening certain aspects of social support to increase uptake of Pap screening among SAI women.

Lean in Healthcare: Time for Evolution or Revolution?

ABSTRACT: Lean has gained recognition in healthcare as a quality improvement tool. The purpose of this research was to examine the extent to which quality improvement projects in healthcare adhered to Lean's eight-step process. We analyzed 605 publications identified through a systematic literature review following PRISMA guidelines. Each publication was coded using a structured coding sheet. The most frequent type of publication reported empirical research (48.6%) and most of these (80.3%) shared the results of the Lean projects. Of the 237 publications reporting Lean projects, more than half (71.3%) used an experimental, one-site, pre/postdesign. The impact of the project was most often measured using a single metric (59.1%) that was operational (e.g., waiting time). Although most Lean project publications reported the use of tools to "break down the problem" (84.4%, Step 2) and "see countermeasures through" (70.0%, Step 6), fewer than half described using tools associated with each of the other steps. Projects completed an average of 2.77 steps and none of the projects completed all steps. Although some may perceive low adherence to the tenets of Lean as a deficiency, it may be that Lean approaches are evolving to better meet the needs of healthcare.

Regular Mammography Screening Among African American (AA) Women: Qualitative Application of the PEN-3 Framework.

Introduction: Breast cancer mortality rates among African American (AA) women are at 29.2 deaths per 100,000 persons compared with 20.6 deaths per 100,000 persons among Caucasian women. Regular mammography screening may significantly reduce breast cancer mortality and narrow this disparity. This study guided by PEN-3 model aims to explore the relationships and expectations domain and identify perceptions, enablers, and nurturers of regular mammography among AA women. Method: As part of an intervention study, in-depth interviews were conducted with 39 AA women recruited from the emergency department of a public university hospital. Results: Women's perceptions included fear and limited knowledge. Enablers identified were cost, socioeconomic, and race-related discrimination, and health care previous experiences. Nurturers identified included observation of family experiences and lack of health-related social support. Discussion: Findings underscore the need to develop culturally tailored interventions to address the issues salient to this population.

Social support and breast cancer screening in rural Appalachia.

PURPOSE: Women in the Appalachian region have a high mortality rate attributable to cancer in spite of lower incidence of cancer compared with the general US population. Empirical evidence suggests that social support influences cancer outcomes, including adherence to screening guidelines and treatment recommendations. The purpose of this study is to examine the impact of social support on breast cancer screening patterns in a sample of rural Appalachian women. METHODS: This paper reports the results of analyses of baseline cross-sectional data on breast cancer screening collected during a community-based group-randomized trial. We used the 2010 National Health Institute Survey questionnaires and the Medical Outcomes Study Social Support Survey to assess screening behavior and perceived social support, respectively. Data were analyzed using ANCOVA and ANOVA to assess the mean social support on breast cancer screening patterns (frequently, irregularly, and rarely/never) and relevant sociodemographic variables. FINDINGS: Of the eligible participant records analyzed (N = 289), 50% were married, 36% were employed, 20% attended college, 40% had no mammogram in 6 years, and 20% never had mammograms. Overall social support score was high at 73.1 (SD = 18.2). Association between breast cancer screening patterns and social support scores was not statistically significant at α < 0.05 (P value = 0.09). CONCLUSIONS: Although social support as it measured in this study does not show significant associations with screening patterns, it is important to understand how social network structures may influence screening patterns. Familial and social roles/responsibilities that result in reported social support may also be the barrier to cancer screening and other prevention health behaviors.