Evaluation of a Sparkling Water Promotion Intervention on Sales at Convenience Stores in the Southeastern US.

OBJECTIVE: This study investigated the feasibility of in-store signage promoting sparkling water and the impact of this signage on sparkling water sales in convenience stores. DESIGN: We conducted a randomized control trial. SETTING: Convenience stores in North Carolina. PARTICIPANTS: Twenty-four convenience stores in neighborhoods with a higher proportion of Supplemental Nutrition Assistance Program-eligible households. INTERVENTION(S): The 24 eligible stores were randomized to receive the in-store signage promoting sparkling water or to the control condition of no change. One poster was hung on the beverage cooler doors in front of the sparkling water selections at each of the 12 participating stores. Weekly sales data and fidelity checks were collected. MAIN OUTCOME MEASURE(S): The primary outcome measure was sales of total water, and the subanalysis was sales of sparkling water. ANALYSIS: T tests were conducted to assess changes in total water and sparkling water sales between intervention and control stores. RESULTS: In-store signage did not significantly increase sales of sparkling water, or all water, during the intervention. CONCLUSIONS AND IMPLICATIONS: Signage alone may not be enough to impact healthy beverage purchasing, and signage should be paired with other promotional components to increase healthy beverage purchases in convenience stores.

Evaluation of a Healthy Checkout Lane "Nudge" on Grocery and Convenience Store Sales of a Price-Promoted Nutritious Food.

Grocery store intervention trials, including trials testing behavioral economics "nudges," may change food-purchasing behaviors and improve diet quality. This study aimed to design and evaluate a grocery store healthy checkout lane "nudge" intervention on sales of a targeted healthy item. We conducted a randomized controlled trial based on the behavioral economic concept of cognitive fatigue and the marketing concept of impulse buying. Six grocery stores from one North Carolina-based chain were randomized to the intervention (n = 3) or control (n = 3) condition. Researchers tested a 4-week healthy checkout lane intervention, in which intervention stores moved 6-ounce cans of peanuts to the cash registers. Cashiers were instructed to upsell the peanuts to all shoppers at checkout. While not a component of the intervention, the retailer decreased the price of the peanuts from $1.99 to $1.50 during the first 2 weeks of the intervention. Fidelity to the checkout display was high. Fidelity to the upsell was low. The main outcome measure was aggregated store-level sales of the promoted peanuts for 4 weeks before the intervention and during the 4-week intervention period. On average, sales increased by 10 units/week in intervention stores (5.83 vs. 15.83 units, p = .04) with no significant change in control stores (1.42 vs. 1.17 units, p = .64). The difference (10 vs. -0.25 units, p = .02) was likely due to displaying the peanuts at checkout combined with the price promotion. Larger randomized controlled trials should examine whether healthy checkout lane interventions are effective "nudges" for promoting purchases of healthier foods in grocery stores.

Disparities in Electronic Screening for Cancer-Related Psychosocial Distress May Promote Systemic Barriers to Quality Oncologic Care.

BACKGROUND: Screening for cancer-related psychosocial distress is an integral yet laborious component of quality oncologic care. Automated preappointment screening through online patient portals (Portal, MyChart) is efficient compared with paper-based screening, but unstudied. We hypothesized that patient access to and engagement with EHR-based screening would positively correlate with factors associated with digital literacy (eg, age, socioeconomic status). METHODS: Screening-eligible oncology patients seen at our Comprehensive Cancer Center from 2014 through 2019 were identified. Patients with active Portals were offered distress screening. Portal and screening participation were analyzed via multivariable logistic regression. Household income in US dollars and educational attainment were estimated utilizing zip code and census data. RESULTS: Of 17,982 patients, 10,279 (57%) had active Portals and were offered distress screening. On multivariable analysis, older age (odds ratio [OR], 0.97/year; P<.001); male gender (OR, 0.89; P<.001); Black (OR, 0.47; P<.001), Hawaiian/Pacific Islander (OR, 1.54; P=.007), and Native American/Alaskan Native race (OR, 0.67; P=.04); Hispanic ethnicity (OR, 0.76; P<.001); and Medicare (OR, 0.59; P<.001), Veteran's Affairs/military (OR, 0.09; P<.01), Medicaid (OR, 0.34; P<.001), or no insurance coverage (OR, 0.57; P<.001) were independently associated with lower odds of being offered distress screening; increasing income (OR, 1.05/$10,000; P<.001) and educational attainment (OR, 1.03/percent likelihood of bachelor's degree or higher; P<.001) were independently associated with higher odds. In patients offered electronic screening, participation rate was 36.6% (n=3,758). Higher educational attainment (OR, 1.01; P=.03) was independently associated with participation, whereas Black race (OR, 0.58; P=.004), Hispanic ethnicity (OR, 0.68; P=.01), non-English primary language (OR, 0.67; P=.03), and Medicaid insurance (OR, 0.78; P<.001) were independently associated with nonparticipation. CONCLUSIONS: Electronic portal-based screening for cancer-related psychosocial distress leads to underscreening of vulnerable populations. At institutions using electronic distress screening workflows, supplemental screening for patients unable or unwilling to engage with electronic screening is recommended to ensure efficient yet equal-opportunity distress screening.

Intensive care unit observation after pancreatectomy: Treating the patient or the surgeon?

BACKGROUND: Routine intensive care unit admission (ICUA) is commonplace following pancreatectomy, particularly pancreaticoduodenectomy. The value of this practice in avoiding failure-to-rescue is poorly studied. METHODS: We queried our institutional National Surgical Quality Improvement Project database for patients undergoing pancreatectomy from 2013 to 2020. Postoperative dispositions, ICU courses, and hospital cost data in United States Dollars (USD) were captured. Data were analyzed with multivariable logistic regression. RESULTS: Six-hundred-thirty-seven patients were identified; 404 (63%) underwent pancreaticoduodenectomy. Postoperatively, 398 (99%) pancreaticoduodenectomies and 110 (47%) distal pancreatectomies had ICUA; two-thirds (n = 318, 63%) did not require immediate postoperative ICU-level interventions at ICUA. Of these, 17 (5.3%) subsequently required ICU-level interventions during initial ICUA, most commonly antiarrhythmic infusion (n = 12). Thirty-day and 90-day mortality in patients requiring immediate ICU-level interventions was 5% (n = 10) and 8% (n = 16) versus 0.3% (n = 1) and 1.2% (n = 4) in those without, respectively. Hospital length of stay was significantly longer with initial ICU-level interventions (median 11 vs. 9 days, p < 0.001), as were total ICU costs (mean 8683 vs. 14611 USD, p < 0.001). CONCLUSION: At high-volume pancreas centers, patients without immediate postoperative ICU-level interventions are very low risk for failure-to-rescue. Ward admission with a low threshold for care escalation presents a significant opportunity for cost-savings and un-burdening ICUs.

Evaluating the Benefits of a SNAP-Ed-Funded Community Garden Intervention Using Ripple Effect Mapping.

In North Carolina, rural communities experience high rates of chronic illness due to health inequities exacerbated by the decline of major industries. Community gardens increase access to fresh produce and opportunities for physical activity and may offer additional benefits. These benefits can be difficult to measure as they are often unplanned or unintended. This article describes how we utilized Ripple Effect Mapping (REM), a participatory approach for evaluating complex interventions, to understand the impact of a SNAP-Ed-funded program. We purposively selected six community gardens to participate in 2-hour, facilitated REM sessions. On average, 15 people participated in each session. Participants developed a map of benefits using Appreciative Inquiry, mind mapping, and consensus-building methods. The map organized benefits across three levels: first ripple (individual), second ripple (interpersonal), and third ripple (community). In addition, participants coded benefits using the Community Capitals Framework. After the sessions, the research team extracted identified impacts into a matrix, aligned them with the SNAP-Ed Evaluation Framework, and developed digitized maps. These data corroborated findings from previous evaluations and offered insight into community-identified benefits not previously documented, including other types of capital generated by community gardens in rural communities. In addition, REM was an effective approach to measure and report several SNAP-Ed evaluation indicators, including LT11: Unexpected Benefits. Ultimately, the research team found REM to be an effective community-engaged method for understanding a complex intervention's benefits while centering participant community voices and transferring ownership of the data to community partners, a key principle in equitable evaluation.

Model for End-stage Liver Disease score fails to predict perioperative outcome after hepatic resection for hepatocellular carcinoma in patients without cirrhosis.

BACKGROUND: The Model for End-stage Liver Disease (MELD) score was developed to reflect the hepatocellular reserve in patients with cirrhosis. We hypothesized that the MELD score would not be predictive of perioperative outcome after hepatic resection in patients without cirrhosis. METHODS: We performed a case-control study of all consecutive patients from 1995 through 2005 undergoing hepatic resection for HCC. RESULTS: Group A (21 patients without cirrhosis) had a mean age of 57 years, which was similar to control group B (25 patients with cirrhosis), with a mean age of 60 years. The mean tumor size in group A was 9.8 cm compared with that of group B, which was 4.8 cm (P = .03). The American Joint Committee on Cancer stage in group A was I in 14%, II in 5%, and III in 81% versus I in 48%, II in 16%, and 111 in 36% in group B (P = .002). Eighty-six percent of group A patients had a major hepatic resection (>2 segments) compared with 40% in group B (P = .001). The perioperative morbidity and mortality were 24% and 4.8%, respectively, in group A compared with 64% (P = .006) and 20% (P = .12) in group B. The mean preoperative, postoperative, and delta MELD scores were 7.0, 13.0, and 5.0, respectively, in group A compared with 9.6, 16.8, and 7.2 in group B (P = NS). In group A, none of the MELD score parameters accurately predicted perioperative outcomes despite a higher number of patients who had major hepatic resection. In group B, a preoperative MELD score of 9 or greater was associated with a higher overall perioperative morbidity (84% vs 41%, P = .03). Perioperative mortality (n = 6; 13%) was significantly higher in patients with a postoperative MELD score of 15 or higher (P = .02) and a delta MELD score of 10 or higher (P = .03). CONCLUSIONS: Perioperative MELD score fails to predict perioperative outcomes after hepatic resection for hepatocellular carcinoma in patients without cirrhosis. Other predictive parameters need to be developed for this group of patients.