Smoking Cessation Support in the Context of Other Social and Behavioral Needs in Community Health Centers.

BACKGROUND: Cigarette smoking rates remain disproportionately high among low income populations with unmet social and behavioral health needs. To address this problem, we sought to develop and evaluate the feasibility, acceptability, and preliminary effectiveness of a novel smoking cessation program for community health centers that serve these populations. METHODS: We implemented a randomized pilot trial of two smoking cessation programs in three county operated community health center (CHC) sites: (1) a systematic assessment of smoking habits and standard tools to assist with smoking cessation counseling ("Enhanced Standard Program" or ESP), and (2) another that added a structured assessment of social and behavioral barriers to smoking cessation, ("Connection to Health for Smokers" or CTHS). Clinical outcomes were evaluated between 10 to 16 weeks, supplemented with interviews of patient participants and health care team members. RESULTS: 141 adults were randomized and 123 completed the intervention (61 in ESP, 62 in CTHS). At follow-up, over half of participants reported ≥1 quit attempts (59.7% ESP and 56.5% CTHS; adjusted p = .66) while more in ESP (24.6% vs. 12.9%) were documented as not smoking in the last 7 days (adjusted p = 0.03). In addition to being in ESP, predictors of smoking cessation included higher baseline confidence in ability to quit (p = 0.02) and more quit attempts during the study (p = 0.04). Health care teams, however, generally preferred the more comprehensive approach of CTHS. CONCLUSION: Lessons learned from this pilot study may inform the development of effective smoking cessation programs for CHCs that combine elements of both interventions.

Telephone risk-based eligibility assessment for low-dose CT lung cancer screening.

Eligibility for lung cancer screening (LCS) requires assessment of lung cancer risk, based on smoking history alongside demographic and medical factors. Reliance on individual face-to-face eligibility assessment risks inefficiency and costliness. The SUMMIT Study introduced a telephone-based lung cancer risk assessment to guide invitation to face-to-face LCS eligibility assessment, which significantly increased the proportion of face-to-face attendees eligible for LCS. However, levels of agreement between phone screener and in-person responses were lower in younger individuals and minority ethnic groups. Telephone-based risk assessment is an efficient way to optimise selection for LCS appointments but requires further iteration to ensure an equitable approach.

Addressing tobacco use in the context of complex social needs: A new conceptual framework and approach to address smoking cessation in community health centers.

Objective: This article presents a new conceptual framework "Connection to Health for Smokers" (CTHS), its application to address smoking cessation, and its acceptability in community health centers (CHCs). Methods: CTHS, an online interactive patient educational tool comprehensively implements the "5 A's" (ask, advise, assess, assist, and arrange) within the context of patients' social and behavioral health needs. Semi-structured interviews were conducted with five health educators (nurses) who administered CTHS with 62 patients to evaluate the acceptability of the program. Thematic analyses were conducted with interview transcripts. Results: CHC health educators viewed CTHS has enhanced patient-centered communication, was able to identify patients' needs beyond tobacco use, and individualize action planning to integrate social and behavioral health needs. Conclusion: CTHS received enthusiasm from CHC health educators as a helpful tool to address tobacco use among their patients. Comprehensive on-site smoking cessation programs at CHCs that provide a structured evidence-based approach informed by an understanding of each patient's coexisting social and behavioral health needs may play an important role in reducing tobacco use disparities in the United States. Innovation: CTHS offers a new promising framework to comprehensively integrate the 5A's within the context of social and behavioral determinants of health for smoking cessation.

Economic costs of implementing group interventions to reduce diabetes distress in adults with type 1 diabetes mellitus in the T1-REDEEM trial.

AIMS: This study evaluated the implementation costs of two group interventions, one focused on diabetes education (KnowIt) and one focused directly on diabetes distress (OnTrack), that reduced diabetes distress and HbA1C in adults with poorly controlled type 1 diabetes (T1DM) in the T1-REDEEM trial. METHODS: Resources used to provide interventions were enumerated using activity-based micro-costing methods. Costs were assigned to resources in 2017 US dollars. US median wage and benefit rates were used to calculate costs of staff time. Cost per unit change was calculated for diabetes distress and HbA1C. RESULTS: For both interventions, per participant implementation costs were approximately $250 and cost per 1.0 percentage point (11 mmol/mol) change in HbA1C was $1400. Cost per unit change in diabetes distress was $364 for KnowIt and $335 for OnTrack. No statistically significant differences in costs were observed. CONCLUSIONS: This is the first study to examine the costs of implementing interventions targeting diabetes distress in the context of T1DM. Both interventions had per participant implementation costs in the lower end of the range of previously examined diabetes self-management interventions ($219 to $5390). These inventions and their costs merit further attention because reducing diabetes distress may impact long term T1DM outcomes. CLINICAL TRIALS REGISTRATION: ClinicalTrials.govNCT02175732.

Self-management support for chronic disease in primary care: frequency of patient self-management problems and patient reported priorities, and alignment with ultimate behavior goal selection.

BACKGROUND: To enable delivery of high quality patient-centered care, as well as to allow primary care health systems to allocate appropriate resources that align with patients' identified self-management problems (SM-Problems) and priorities (SM-Priorities), a practical, systematic method for assessing self-management needs and priorities is needed. In the current report, we present patient reported data generated from Connection to Health (CTH), to identify the frequency of patients' reported SM-Problems and SM-Priorities; and examine the degree of alignment between patient SM-Priorities and the ultimate Patient-Healthcare team member selected Behavioral Goal. METHODS: CTH, an electronic self-management support system, was embedded into the flow of existing primary care visits in 25 primary care clinics and was used to assess patient-reported SM-Problems across 12 areas, patient identified SM-Priorities, and guide the selection of a Patient-Healthcare team member selected Behavioral Goal. SM-Problems included: BMI, diet (fruits and vegetables, salt, fat, sugar sweetened beverages), physical activity, missed medications, tobacco and alcohol use, health-related distress, general life stress, and depression symptoms. Descriptive analyses documented SM-Problems and SM-Priorities, and alignment between SM-Priorities and Goal Selection, followed by mixed models adjusting for clinic. RESULTS: 446 participants with ≥ one chronic diseases (mean age 55.4 ± 12.6; 58.5% female) participated. On average, participants reported experiencing challenges in 7 out of the 12 SM-Problems areas; with the most frequent problems including: BMI, aspects of diet, and physical activity. Patient SM-Priorities were variable across the self-management areas. Patient- Healthcare team member Goal selection aligned well with patient SM-Priorities when patients prioritized weight loss or physical activity, but not in other self-management areas. CONCLUSION: Participants reported experiencing multiple SM-Problems. While patients show great variability in their SM-Priorities, the resulting action plan goals that patients create with their healthcare team member show a lack of diversity, with a disproportionate focus on weight loss and physical activity with missed opportunities for using goal setting to create targeted patient-centered plans focused in other SM-Priority areas. Aggregated results can assist with the identification of high frequency patient SM-Problems and SM-Priority areas, and in turn inform resource allocation to meet patient needs. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT01945918 .

The clinical effectiveness and cost-effectiveness of telephone triage for managing same-day consultation requests in general practice: a cluster randomised controlled trial comparing general practitioner-led and nurse-led management systems with usual care (the ESTEEM trial).

BACKGROUND: Telephone triage is proposed as a method of managing increasing demand for primary care. Previous studies have involved small samples in limited settings, and focused on nurse roles. Evidence is limited regarding the impact on primary care workload, costs, and patient safety and experience when triage is used to manage patients requesting same-day consultations in general practice. OBJECTIVES: In comparison with usual care (UC), to assess the impact of GP-led telephone triage (GPT) and nurse-led computer-supported telephone triage (NT) on primary care workload and cost, patient experience of care, and patient safety and health status for patients requesting same-day consultations in general practice. DESIGN: Pragmatic cluster randomised controlled trial, incorporating economic evaluation and qualitative process evaluation. SETTING: General practices (n = 42) in four regions of England, UK (Devon, Bristol/Somerset, Warwickshire/Coventry, Norfolk/Suffolk). PARTICIPANTS: Patients requesting same-day consultations. INTERVENTIONS: Practices were randomised to GPT, NT or UC. Data collection was not blinded; however, analysis was conducted by a statistician blinded to practice allocation. MAIN OUTCOME MEASURES: Primary - primary care contacts [general practice, out-of-hours primary care, accident and emergency (A&E) and walk-in centre attendances] in the 28 days following the index consultation request. Secondary - resource use and costs, patient safety (deaths and emergency hospital admissions within 7 days of index request, and A&E attendance within 28 days), health status and experience of care. RESULTS: Of 20,990 eligible randomised patients (UC n = 7283; GPT n = 6695; NT n = 7012), primary outcome data were analysed for 16,211 patients (UC n = 5572; GPT n = 5171; NT n = 5468). Compared with UC, GPT and NT increased primary outcome contacts (over 28-day follow-up) by 33% [rate ratio (RR) 1.33, 95% confidence interval (CI) 1.30 to 1.36] and 48% (RR 1.48, 95% CI 1.44 to 1.52), respectively. Compared with GPT, NT was associated with a marginal increase in primary outcome contacts by 4% (RR 1.04, 95% CI 1.01 to 1.08). Triage was associated with a redistribution of primary care contacts. Although GPT, compared with UC, increased the rate of overall GP contacts (face to face and telephone) over the 28 days by 38% (RR 1.38, 95% CI 1.28 to 1.50), GP face-to-face contacts were reduced by 39% (RR 0.61, 95% CI 0.54 to 0.69). NT reduced the rate of overall GP contacts by 16% (RR 0.84, 95% CI 0.78 to 0.91) and GP face-to-face contacts by 20% (RR 0.80, 95% CI 0.71 to 0.90), whereas nurse contacts increased. The increased rate of primary care contacts in triage arms is largely attributable to increased telephone contacts. Estimated overall patient-clinician contact time on the index day increased in triage (GPT = 10.3 minutes; NT = 14.8 minutes; UC = 9.6 minutes), although patterns of clinician use varied between arms. Taking account of both the pattern and duration of primary outcome contacts, overall costs over the 28-day follow-up were similar in all three arms (approximately £75 per patient). Triage appeared safe, and no differences in patient health status were observed. NT was somewhat less acceptable to patients than GPT or UC. The process evaluation identified the complexity associated with introducing triage but found no consistency across practices about what works and what does not work when implementing it. CONCLUSIONS: Introducing GPT or NT was associated with a redistribution of primary care workload for patients requesting same-day consultations, and at similar cost to UC. Although triage seemed to be safe, investigation of the circumstances of a larger number of deaths or admissions after triage might be warranted, and monitoring of these events is necessary as triage is implemented. TRIAL REGISTRATION: Current Controlled Trials ISRCTN20687662. FUNDING: This project was funded by the NIHR Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 19, No. 13. See the NIHR Journals Library website for further project information.

Telephone triage for management of same-day consultation requests in general practice (the ESTEEM trial): a cluster-randomised controlled trial and cost-consequence analysis.

BACKGROUND: Telephone triage is increasingly used to manage workload in primary care; however, supporting evidence for this approach is scarce. We aimed to assess the effectiveness and cost consequences of general practitioner-(GP)-led and nurse-led telephone triage compared with usual care for patients seeking same-day consultations in primary care. METHODS: We did a pragmatic, cluster-randomised controlled trial and economic evaluation between March 1, 2011, and March 31, 2013, at 42 practices in four centres in the UK. Practices were randomly assigned (1:1:1), via a computer-generated randomisation sequence minimised for geographical location, practice deprivation, and practice list size, to either GP-led triage, nurse-led computer-supported triage, or usual care. We included patients who telephoned the practice seeking a same-day face-to-face consultation with a GP. Allocations were concealed from practices until after they had agreed to participate and a stochastic element was included within the minimisation algorithm to maintain concealment. Patients, clinicians, and researchers were not masked to allocation, but practice assignment was concealed from the trial statistician. The primary outcome was primary care workload (patient contacts, including those attending accident and emergency departments) in the 28 days after the first same-day request. Analyses were by intention to treat and per protocol. This trial was registered with the ISRCTN register, number ISRCTN20687662. FINDINGS: We randomly assigned 42 practices to GP triage (n=13), nurse triage (n=15), or usual care (n=14), and 20,990 patients (n=6695 vs 7012 vs 7283) were randomly assigned, of whom 16,211 (77%) patients provided primary outcome data (n=5171 vs 5468 vs 5572). GP triage was associated with a 33% increase in the mean number of contacts per person over 28 days compared with usual care (2·65 [SD 1·74] vs 1·91 [1·43]; rate ratio [RR] 1·33, 95% CI 1·30-1·36), and nurse triage with a 48% increase (2·81 [SD 1·68]; RR 1·48, 95% CI 1·44-1·52). Eight patients died within 7 days of the index request: five in the GP-triage group, two in the nurse-triage group, and one in the usual-care group; however, these deaths were not associated with the trial group or procedures. Although triage interventions were associated with increased contacts, estimated costs over 28 days were similar between all three groups (roughly £75 per patient). INTERPRETATION: Introduction of telephone triage delivered by a GP or nurse was associated with an increase in the number of primary care contacts in the 28 days after a patient's request for a same-day GP consultation, with similar costs to those of usual care. Telephone triage might be useful in aiding the delivery of primary care. The whole-system implications should be assessed when introduction of such a system is considered. FUNDING: Health Technology Assessment Programme UK National Institute for Health Research.