Do no harm: the impact of implementing cancer prevention strategies on other preventive health measures

BACKGROUND

Translational efforts to increase uptake of evidence-based practices typically look at those outcomes in isolation of their impact on other aspects of care delivery. If we are in fact to "do no harm", we must consider the possible negative impact of improving use of one practice on other quality measures. Alternatively, a focus on one practice could lead to spread of effective strategies to other practices, which would be highly beneficial. We studied the impact of a colorectal cancer (CRC) screening initiative on delivery of other preventive care measures.

METHODS

We used an interrupted time series design with implementation year as the interruption point. The initiative was conducted between 2015 and 2020, with three staggered cohorts. Main outcomes were quality measures for colorectal cancer screening, cervical cancer screening, hypertension management, diabetes management, weight screening and follow-up, tobacco use screening and cessation treatment, and depression screening and follow-up.

RESULTS

The initiative was associated with an increase in CRC screening (OR = 1.67, p ≤ 0.01; average marginal effect = 12.2% points), and did not reduce performance on other quality measures in the year of CRC program implementation or a change in their respective secular trends.

CONCLUSIONS

The initiative led to a clinically meaningful increase in CRC screening and was not associated with reductions in delivery of six other preventive services. Quality improvement (QI) initiatives typically approach implementation with an eye towards reducing unintended impact and leveraging existing staff and resources. Implementation research studies may benefit from considering how QI initiatives factor in the local context in implementation efforts.

Bundling Colorectal Cancer Screening Outreach with Screening for Social Risk in Federally Qualified Health Centers: A Stepped-Wedge Implementation-Effectiveness Study

BACKGROUND

Bundling is combining individual interventions to meet quality metrics. Bundling offers of cancer screening with screening for social determinants of health (SDOH) may enable health centers to assist patients with social risks and yield efficiencies.

OBJECTIVE

To measure effects of bundling fecal immunochemical testing (FIT) and SDOH screening in federally qualified health centers (FQHCs).

DESIGN

Clustered stepped-wedge trial.

PARTICIPANTS

Four Massachusetts FQHCs randomized to implement bundled FIT-SDOH over 8-week "steps."

INTERVENTION

Outreach to 50-75-year-olds overdue for CRC screening to offer FIT with SDOH screening. The implementation strategy used facilitation and training for data monitoring and reporting.

MAIN MEASURES

Implementation process descriptions, data from facilitation meetings, and CRC and SDOH screening rates. Rates were compared between implementation and control FQHCs in each "step" by fitting generalized linear mixed-effects models with random intercepts for FQHCs, patients, and "step" by FQHC.

KEY RESULTS

FQHCs tailored implementation processes to their infrastructure, workflows, and staffing and prioritized different groups for outreach. Two FQHCs used population health outreach, and two integrated FIT-SDOH within established programs, such as pre-visit planning. Of 34,588 patients overdue for CRC screening, 54% were female; 20% Black, 11% Latino, 10% Asian, and 47% white; 32% had Medicaid, 16% Medicare, 32% private insurance, and 11% uninsured. Odds of CRC screening completion in implementation "steps" compared to controls were higher overall and among groups prioritized for outreach (overall: adjusted odds ratio (aOR) 2.41, p = 0.005; prioritized: aOR 2.88, p = 0.002). Odds of SDOH screening did not differ across "steps."

CONCLUSIONS

As healthcare systems are required to conduct more screenings, it is notable that outreach for a long-standing cancer screening requirement increased screening, even when bundled with a newer screening requirement. This outreach was feasible in a real-world safety-net clinical population and may conserve resources, especially compared to more complex or intensive outreach strategies.

CLINICAL TRIALS REGISTRATION

NCT04585919.

Leveraging an implementation science partnership network to understand how Federally Qualified Health Centers operationalize and address health equity

Health equity-focused implementation research requires using definitions and approaches that are relevant and meaningful to implementation partners. We examined how health equity was operationalized and addressed at Federally Qualified Health Centers (FQHCs). We conducted semi-structured interviews with leadership (n = 19) and staff (n = 12) at 10 FQHCs in an implementation science partnership network for cancer control equity to understand how they operationalized and addressed health equity. We performed rapid qualitative analysis and shared findings with a larger group of 13 community health centers (including the 10 FQHCs) at an Implementation Learning Community (ILC) to identify action areas for research and practice, followed by a second phase of synthesizing qualitative codes into themes and mapping themes onto a framework for advancing health equity in healthcare organizations. Participants defined health equity as central to the mission of FQHCs, and identified barriers (e.g. financing models) and facilitators (e.g. interpreter services) to advancing health equity at FQHCs. These findings resonated with ILC participants who emphasized the challenge of addressing root cause social determinants of inequities using limited available resources in FQHCs and the importance of developing meaningful collaboration with communities for data collection, data interpretation, data use, and data ownership. Themes captured recommendations to advance health equity in daily work at FQHCs, including investments in staffing, training, and resources. Mapping qualitative themes from health equity-centered interviews with FQHC partners onto a framework for advancing health equity in healthcare organizations can provide clear, context-specific direction for actions aimed at improving health and healthcare equity.

Challenges and recommendations for measuring time devoted to implementation and intervention activities in health equity-focused, resource-constrained settings: a qualitative analysis

BACKGROUND

There is little guidance for conducting health equity-focused economic evaluations of evidence-based practices in resource-constrained settings, particularly with respect to staff time use. Investigators must balance the need for low-touch, non-disruptive cost data collection with the need for data on providing services to priority subpopulations.

METHODS

This investigation took place within a pilot study examining the implementation of a bundled screening intervention combining screening for social determinants of health and colorectal cancer at four federally qualified health centers (FQHCs) in the Boston metropolitan area. Methods for collecting data on personnel costs for implementation and intervention activities, including passive (automatic) and active (non-automatic, requiring staff time and effort) data collection, as well as three alternate wordings for self-reporting time-use, were evaluated qualitatively using data collected through interviews with FQHC staff (including clinicians, population health staff, and community health workers) and assessments of data completeness.

RESULTS

Passive data collection methods were simple to execute and resulted in no missing data, but missed implementation and intervention activities that took place outside planned meetings. Active cost data collection using spreadsheets was simple for users when applied to care processes already tracked in this fashion and yielded accurate time use data. However, for tasks where this was not typical, and when tasks were broken up over multiple sessions, spreadsheets were more challenging to use. Questions asking about time use for a typical rather than specific time period, and for typical patients, yielded the most reliable and actionable data. Still, even the best-performing question had substantial variability in time use estimates. Participants noted that patient characteristics of interest for equity-focused research, including language spoken, adverse social determinants of health, and issues related to poverty or mental health, all contributed significantly to this variability.

CONCLUSIONS

Passively collected time use data are the least burdensome and should be pursued in research efforts when possible, but should be accompanied by qualitative assessments to ensure the data are an accurate reflection of effort. When workflows are already tracked by active data collection, these are also strong data collection methods. Self-reported time use will be most accurate when questions inquire about "typical" tasks and specific types of patients.

Creating research-ready partnerships: the initial development of seven implementation laboratories to advance cancer control

BACKGROUND

In 2019-2020, with National Cancer Institute funding, seven implementation laboratory (I-Lab) partnerships between scientists and stakeholders in 'real-world' settings working to implement evidence-based interventions were developed within the Implementation Science Centers in Cancer Control (ISC3) consortium. This paper describes and compares approaches to the initial development of seven I-Labs in order to gain an understanding of the development of research partnerships representing various implementation science designs.

METHODS

In April-June 2021, members of the ISC3 Implementation Laboratories workgroup interviewed research teams involved in I-Lab development in each center. This cross-sectional study used semi-structured interviews and case-study-based methods to collect and analyze data about I-Lab designs and activities. Interview notes were analyzed to identify a set of comparable domains across sites. These domains served as the framework for seven case descriptions summarizing design decisions and partnership elements across sites.

RESULTS

Domains identified from interviews as comparable across sites included engagement of community and clinical I-Lab members in research activities, data sources, engagement methods, dissemination strategies, and health equity. The I-Labs use a variety of research partnership designs to support engagement including participatory research, community-engaged research, and learning health systems of embedded research. Regarding data, I-Labs in which members use common electronic health records (EHRs) leverage these both as a data source and a digital implementation strategy. I-Labs without a shared EHR among partners also leverage other sources for research or surveillance, most commonly qualitative data, surveys, and public health data systems. All seven I-Labs use advisory boards or partnership meetings to engage with members; six use stakeholder interviews and regular communications. Most (70%) tools or methods used to engage I-Lab members such as advisory groups, coalitions, or regular communications, were pre-existing. Think tanks, which two I-Labs developed, represented novel engagement approaches. To disseminate research results, all centers developed web-based products, and most (n = 6) use publications, learning collaboratives, and community forums. Important variations emerged in approaches to health equity, ranging from partnering with members serving historically marginalized populations to the development of novel methods.

CONCLUSIONS

The development of the ISC3 implementation laboratories, which represented a variety of research partnership designs, offers the opportunity to advance understanding of how researchers developed and built partnerships to effectively engage stakeholders throughout the cancer control research lifecycle. In future years, we will be able to share lessons learned for the development and sustainment of implementation laboratories.

A pilot adaptive trial of text messages, mailed nicotine replacement therapy, and telephone coaching among primary care patients who smoke

INTRODUCTION

Sequential multiple assignment randomized trials (SMART) inform the design of adaptive treatment interventions. We tested the feasibility of a SMART to deliver a stepped-care intervention among primary care patients who smoked daily.

METHODS

In a 12-week pilot SMART (NCT04020718), we tested the feasibility of recruiting and retaining (>80 %) participants to an adaptive intervention starting with cessation text messages (SMS). The study randomly assigned participants (R1) to assessment of quit status, the tailoring variable, after either 4 or 8 weeks of SMS. The study offered continued SMS alone to those reporting abstinence. Those reporting smoking were randomized (R2) to SMS + mailed NRT or SMS + NRT + brief telephone coaching.

RESULTS

During Jan-March and July-Aug 2020, we enrolled 35 patients (>18 years) from a primary care network in Massachusetts. Two (6 %) of 31 participants reported seven-day point prevalence abstinence at their tailoring variable assessment. The 29 participants who continued to smoke at 4 or 8 weeks were randomized (R2) to SMS + NRT (n = 16) or SMS + NRT + coaching (n = 13). Thirty of 35 participants (86 %) completed 12-weeks; 13 % (2/15) of those in 4-week group and 27 % (4/15) of those in 8-week group had CO < 6 ppm at 12-weeks (p = 0.65). Among 29 participants in R2, one was lost to follow-up, 19 % (3/16) of the SMS + NRT group had CO < 6 ppm vs. 17 % (2/12) of SMS + NRT + coaching (p = 1.00). Treatment satisfaction was high (93 %, 28 of 30 who completed 12-weeks).

CONCLUSIONS

A SMART exploring a stepped-care adaptive intervention combining SMS, NRT, and coaching for primary care patients was feasible. Retention and satisfaction were high and quit rates were promising.

Medically tailored meals for food insecurity and type 2 diabetes: Protocol for the Food as Medicine for Diabetes (FAME-D) trial

BACKGROUND

Food insecurity is associated with worse glycemic management for individuals with type 2 diabetes mellitus (T2DM), but whether medically tailored meals (MTM), a food insecurity intervention, can improve glycemic management is unclear.

OBJECTIVE

To describe the protocol for a trial assessing whether an MTM plus lifestyle intervention improves hemoglobin A1c (HbA1c) and participant-reported outcomes, relative to a food subsidy (money that can be spent on foods participants choose), for adults with both T2DM and food insecurity.

METHODS

The Food as Medicine for Diabetes (FAME-D) randomized clinical trial (goal n = 200) is a pragmatic trial with an active comparator. Participants, who will have T2DM and report food insecurity, will be randomly assigned to a 6-month MTM plus telephone-delivered lifestyle change intervention, or a 6-month food subsidy ($40/month). The primary outcome is HbA1c at 6 months. Secondary outcomes include HbA1c at 12 months to assess whether the intervention effect (if any) is sustained, along with weight, food insecurity, diabetes distress, and health-related quality of life. Qualitative analyses of semi-structured interviews will help understand why, how, and under what circumstances the intervention achieved its observed results.

CONCLUSION

Results from FAME-D will help inform clinical management of food insecurity when it co-occurs with T2DM. Further, results may be useful as healthcare payors are considering coverage for MTM interventions.

CLINICALTRIALS

gov: NCT04828785.

Provider beliefs in effectiveness and recommendations for primary HPV testing in 3 health-care systems

In 2018, the US Preventive Services Task Force endorsed primary human papillomavirus testing (pHPV) for cervical cancer screening. We aimed to describe providers' beliefs about pHPV testing effectiveness and which screening approach they regularly recommend. We invited providers who performed 10 or more cervical cancer screens in 2019 in 3 healthcare systems that had not adopted pHPV testing: Kaiser Permanente Washington, Mass General Brigham, and Parkland Health; 53.7% (501/933) completed the survey between October and December 2020. Response distributions varied across modalities (P < .001), with cytology alone or cotesting being more often viewed as somewhat or very effective for 30- to 65-year-olds compared with pHPV (cytology alone 94.1%, cotesting 96.1%, pHPV 66.0%). In 21- to 29-year-olds, the pattern was similar (cytology alone 92.2%, 64.7% cotesting, 50.8% pHPV). Most providers were either incorrect or unsure of the guideline-recommended screening interval for pHPV. Educational efforts are needed about the relative effectiveness and recommended use of pHPV to promote guideline-concordant care.

Tobacco Use and Treatment of Tobacco Dependence Among People With Human Immunodeficiency Virus: A Practical Guide for Clinicians

More than 40% of people with human immunodeficiency virus (PWH) in the United States smoke tobacco cigarettes. Among those on antiretroviral therapy, smoking decreases life expectancy more than human immunodeficiency virus (HIV) itself. Most PWH who smoke want to quit, but tobacco dependence treatment has not been widely integrated into HIV care. This article summarizes the epidemiology of tobacco use among PWH, health consequences of tobacco use and benefits of cessation in PWH, and studies of treatment for tobacco dependence among the general population and among PWH. We provide practical guidance for providers to treat tobacco dependence among PWH. A 3-step Ask-Advise-Connect framework includes asking about tobacco use routinely during clinical encounters, advising about tobacco cessation with emphasis on the benefits of cessation, and actively connecting patients to cessation treatments, including prescription of pharmacotherapy (preferably varenicline) and direct connection to behavioral interventions via telephone quitline or other means to increase the likelihood of a successful quit attempt.

Implementing expanded COVID-19 testing in Massachusetts community health centers through community partnerships: Protocol for an interrupted time series and stepped wedge study design

BACKGROUND

Community Health Centers (CHCs) are a critical source of care for low-income and non-privately insured populations. During the pandemic, CHCs have leveraged their infrastructure and role as a trusted source of care to engage the communities they serve in COVID-19 testing.

METHODS

To directly address the impact that COVID-19 has had on historically marginalized populations in Massachusetts, we designed a study of community-engaged COVID-19 testing expansion: (1) leveraging existing partnerships to accelerate COVID-19 testing and rapidly disseminate effective implementation strategies; (2) incorporating efforts to address key barriers to testing participation in communities at increased risk for COVID-19; (3) further developing partnerships between communities and CHCs to address testing access and disparities; (4) grounding the study in the development of a shared ethical framework for advancing equity in situations of scarcity; and (5) developing mechanisms for communication and science translation to support community outreach. We use a controlled interrupted time series design, comparing number of COVID-19 tests overall and among people identified as members of high-risk groups served by intervention CHCs compared with six matched control CHCs in Massachusetts, followed by a stepped wedge design to pilot test strategies for tailored outreach by CHCs.

CONCLUSIONS

Here, we describe a community-partnered strategy to accelerate COVID-19 testing in historically marginalized populations that provides ongoing resources to CHCs for addressing testing needs in their communities. The study aligns with principles of community-engaged research including shared leadership, adequate resources for community partners, and the flexibility to respond to changing needs over time.

Longitudinal Electronic Cigarette Use Among Patients Recently Diagnosed With Cancer Enrolled in a Smoking Cessation Trial

INTRODUCTION

Many cancer patients who smoke report concurrent e-cigarette use. Using a mixed-methods approach, we aimed to (1) describe longitudinal e-cigarette use over 6 months after a cancer diagnosis and (2) assess the association between e-cigarette use and smoking cessation, among cancer patients in a smoking cessation trial.

AIMS AND METHODS

Data were from a 2-site randomized controlled trial of Standard (brief counseling) versus Intensive treatment (sustained counseling plus smoking cessation medication) in individuals who smoke recently diagnosed with cancer. Participants (n = 303) reported e-cigarette use at baseline, 3 months, and 6 months. Biochemically-verified past 7-day cigarette abstinence was collected at 6 months. Qualitative interviews at 6 months explored factors related to e-cigarette use.

RESULTS

E-cigarette use prevalence was highest between baseline and 3 months (16%) and declined over time. Participants using e-cigarettes at follow-up had higher baseline cigarette dependence and smoked more heavily. Multivariable analyses found no significant association between follow-up e-cigarette use and 6-month cigarette abstinence. E-cigarette use at follow-up was higher in the Standard versus Intensive treatment group (p = .003 and .001 at 3 and 6 mo, respectively). Smoking cessation and health concerns were primary reasons for using e-cigarettes.

CONCLUSIONS

Among individuals who smoke recently diagnosed with cancer and enrolled in a smoking cessation intervention trial, e-cigarette use during trial participation was not associated with smoking abstinence. Individuals who chose to use e-cigarettes were less likely to be receiving intensive cessation support as part of the trial. Further studies are needed to evaluate the association between e-cigarette use and smoking cessation in cancer patients.

IMPLICATIONS

E-cigarette use was not associated with cigarette abstinence at 6 months among adults who smoke recently diagnosed with cancer enrolled in a smoking cessation trial. Individuals with easier access to evidence-based smoking cessation treatment may be less likely to use e-cigarettes.

Treatment of Tobacco Smoking: A Review

IMPORTANCE

More deaths in the US are attributed to cigarette smoking each year than to any other preventable cause. Approximately 34 million people and an estimated 14% of adults in the US smoke cigarettes. If they stopped smoking, they could reduce their risk of tobacco-related morbidity and mortality and potentially gain up to 10 years of life.

OBSERVATIONS

Tobacco smoking is a chronic disorder maintained by physical nicotine dependence and learned behaviors. Approximately 70% of people who smoke cigarettes want to quit smoking. However, individuals who attempt to quit smoking make an average of approximately 6 quit attempts before achieving long-term abstinence. Both behavioral counseling and pharmacotherapy while using nicotine replacement therapy (NRT) products, varenicline, or bupropion are effective treatments when used individually, but they are most effective when combined. In a meta-analysis including 19 488 people who smoked cigarettes, the combination of medication and behavioral counseling was associated with a quit rate of 15.2% over 6 months compared with a quit rate of 8.6% with brief advice or usual care. The EAGLES trial, a randomized double-blind clinical trial of 8144 people who smoked, directly compared the efficacy and safety of varenicline, bupropion, nicotine patch, and placebo and found a significantly higher 6-month quit rate for varenicline (21.8%) than for bupropion (16.2%) and the nicotine patch (15.7%). Each therapy was more effective than placebo (9.4%). Combining a nicotine patch with other NRT products is more effective than use of a single NRT product. Combining drugs with different mechanisms of action, such as varenicline and NRT, has increased quit rates in some studies compared with use of a single product. Brief or intensive behavioral support can be delivered effectively in person or by telephone, text messages, or the internet. The combination of a clinician's brief advice to quit and assistance to obtain tobacco cessation treatment is effective when routinely administered to tobacco users in virtually all health care settings.

CONCLUSIONS AND RELEVANCE

Approximately 34 million people in the US smoke cigarettes and could potentially gain up to a decade of life expectancy by stopping smoking. First-line therapy should include both pharmacotherapy and behavioral support, with varenicline or combination NRT as preferred initial interventions.

A qualitative analysis of nicotine replacement therapy uptake, consistent use, and persistence among primary care patients who smoke

•Adherence can be broken into three processes: uptake, consistent use, and persistence.•Barriers and facilitators to NRT use vary over the three adherence processes.•Information gaps and negative stories about NRT are common barriers to adherence.•NRT adherence may be improved by addressing patient knowledge and concerns.

Outcomes of a Student-Led Telemedicine Clinic in Response to COVID-19

In response to the coronavirus disease-2019 (COVID-19) pandemic, we developed and launched a student-led telemedicine program in Chelsea. From April to November 2020, over 200 student volunteers contacted over 1000 patients to assess COVID-19 symptoms, provide counseling, and triage patients. Through a retrospective cohort study, we determined that student triage decision was associated with patient outcomes, including hospitalization status, COVID-19 test administration, and COVID-19 test result. These results quantify the outcomes of a student-led telemedicine clinic to combat the ongoing pandemic and may serve as a model for implementation of similar clinics to alleviate mounting health care system burden.

A Qualitative Study of the Impact of COVID-19 on Smoking Behavior for Participants in a Post-Hospitalization Smoking Cessation Trial

(1) Background: COVID-19 has substantially altered individual environments and behaviors. We aim to explore the impact of COVID-19 on the smoking behavior of individuals trying to quit tobacco. (2) Methods: This study presents a qualitative analysis of individual interviews focused on perceived impacts of the COVID-19 pandemic on tobacco use among 39 participants in the Helping HAND 4 (HH4) post-hospitalization smoking cessation trial (NCT03603496). (3) Results: Emergent impacts of COVID-19 included change in routine, isolation, employment changes, and financial challenges; these in turn were associated with boredom, altered cravings and triggers, and increased stress. The availability of effective coping mechanisms instead of smoking to deal with stress heavily influenced subsequent smoking behavior. These results were triangulated with the Transactional Model of Stress, providing a framework to elucidate connections between factors such as perceived control, self-efficacy, and dispositional coping style, and highlighting potential areas for intervention. (4) Conclusions: Results suggest that stress during the COVID-19 pandemic may undermine effective coping skills among individuals enrolled in a post-hospitalization smoking cessation trial. Strengthening effective coping skills (e.g., minimizing the use of tobacco as a default stress response) and increasing perceived control and self-efficacy are promising intervention targets.

Quit Experiences among Primary Care Patients Enrolled in a Smoking Cessation Pilot RCT Early in the COVID-19 Pandemic

The impact of the COVID-19 pandemic on US adults' smoking and quitting behaviors is unclear. We explored the impact of COVID-19 on smoking behaviors, risk perceptions, and reactions to text messages during a statewide stay-at-home advisory among primary care patients who were trying to quit. From May-June 2020, we interviewed smokers enrolled in a 12-week, pilot cessation trial providing text messaging and mailed nicotine replacement medication (NCT04020718). Twenty-two individuals (82% white, mean age 55 years), representing 88% of trial participants during the stay-at-home advisory, completed exit interviews; four (18%) of them reported abstinence. Interviews were thematically analyzed by two coders. COVID-19-induced environmental changes had mixed effects, facilitating quitting for some and impeding quitting for others. While stress increased for many, those who quit found ways to cope with stress. Generally, participants felt at risk for COVID-19 complications but not at increased risk of becoming infected. Reactions to COVID-19 and quitting behaviors differed across age groups, older participants reported difficulties coping with isolation (e.g., feeling disappointed when a text message came from the study and not a live person). Findings suggest that cessation interventions addressing stress and boredom are needed during COVID-19, while smokers experiencing isolation may benefit from live-person supports.

Proactively Offered Text Messages and Mailed Nicotine Replacement Therapy for Smokers in Primary Care Practices: A Pilot Randomized Trial

INTRODUCTION

Proactive, population health cessation programs can guide efforts to reach smokers outside of the clinic to encourage quit attempts and treatment use.

AIMS AND METHODS

This study aimed to measure trial feasibility and preliminary effects of a proactive intervention offering text messages (TM) and/or mailed nicotine replacement therapy (NRT) to smokers in primary care clinics. From 2017 to 2019 we performed a pilot randomized trial comparing brief telephone advice (control: BA), TM, 2 weeks of mailed NRT, or both interventions (TM + NRT). Patients were identified using electronic health records and contacted proactively by telephone to assess interest in the study. We compared quit attempts, treatment use, and cessation in the intervention arms with BA.

RESULTS

Of 986 patients contacted, 153 (16%) enrolled (mean age 53 years, 57% female, 76% white, 11% black, 8% Hispanic, 52% insured by Medicaid) and 144 (94%) completed the 12-week assessment. On average, patients in the TM arms received 159 messages (99.4% sent, 0.6% failed), sent 19 messages, and stayed in the program for 61 days. In all groups, a majority of patients reported quit attempts (BA 67% vs. TM 86% [p = .07], NRT 81% [p = .18], TM + NRT 79% [p = .21]) and NRT use (BA 51% vs. NRT 83% [p = .007], TM 65% [p = .25], TM + NRT 76% [p = .03]). Effect estimates for reported 7-day abstinence were BA 10% versus TM 26% (p = .09), NRT 28% (p = .06), and TM + NRT 23% (p = .14).

CONCLUSIONS

Proactively offering TM or mailed nicotine medications was feasible among primary care smokers and a promising approach to promote quit attempts and short-term abstinence.

IMPLICATIONS

Proactive intervention programs to promote quit attempts outside of office visits among smokers enrolled in primary care practices are needed. TM have potential to engage smokers not planning to quit or to support smokers to make a planned quit attempt. This pilot study demonstrates the feasibility of testing a proactive treatment model including TM and/or mailed NRT to promote quit attempts, treatment use, and cessation among nontreatment-seeking smokers in primary care.

CLINICALTRIALS.GOV IDENTIFIER

NCT03174158.

Network-Based Delivery and Sustainment of Evidence-Based Prevention in Community-Clinical Partnerships Addressing Health Equity: A Qualitative Exploration

Background: Increased delivery of evidence-based preventive services can improve population health and increase health equity. Community-clinical partnerships offer particular promise, but delivery and sustainment of preventive services through these systems face several challenges related to service integration and collaboration. We used a social network analysis perspective to explore (a) the range of contributions made by community-clinical partnership network members to support the delivery of evidence-based preventive services and (b) important influences on the ability of these partnerships to sustain service delivery. Methods: Data come from an implementation evaluation of the Prevention and Wellness Trust Fund initiative, which supported nine Massachusetts communities to coordinate delivery of evidence-based prevention and address inequities in hypertension, pediatric asthma, falls among older adults, or tobacco use. In 2016, we conducted semi-structured interviews with (a) leadership teams representing nine community-level partnerships and (b) practitioners from four high-implementation partnerships (n = 23). We managed data using NVivo11 and utilized a framework analysis approach. Results: Key network contributions for delivery of evidence-based preventive services included creating referrals, delivering services, providing links to community members, and administration and leadership. Less emphasized contributions included wraparound services, technical assistance, and venue provision. Implementers from high-implementation partnerships also highlighted contributions such as program adaptation, creating buy-in, and sharing information to improve service delivery. Expected drivers of program sustainability included the ability to develop a business case, ongoing network facilitation, technology support, continued integrated action, and sufficient staffing to maintain programming. Conclusion: The study highlights the need to take a long-term, infrastructure-focused approach when designing community-clinical partnerships. Strategic partnership composition, including identifying sources of necessary network contributions, in conjunction with efforts from the outset to link systems, align effort, and build a long-term funding structure can support the required coordinated action around preventive services needed to improve health equity.

Tobacco Use and Subsequent Cessation Among Hospitalized Patients in Mumbai, India: A Longitudinal Study

INTRODUCTION

Hospitalization is an important setting to address tobacco use. Little is known about post-discharge cessation and treatment use in low- and middle-income countries. Our objective was to assess tobacco use after hospital discharge among patients in Mumbai, India.

METHODS

Longitudinal observational study of inpatients (≥15 years) admitted at one hospital from November 2015 to October 2016. Patients reporting current tobacco use were surveyed by telephone after discharge.

RESULTS

Of 2894 inpatients approached, 2776 participated and 15.7% (N = 437) reported current tobacco use, including 5.3% (N = 147) smokers, 9.1% (N = 252) smokeless tobacco (SLT) users, and 1.4% (N = 38) dual users. Excluding dual users, SLT users, compared to smokers, were less likely to report a plan to quit after discharge (42.6% vs. 54.2%, p = .04), a past-year quit attempt (38.1% vs. 52.7%, p = .004), to agree that tobacco has harmed them (57.9% vs. 70.3%, p = .02) or caused their hospitalization (43.4% vs. 61.4%, p < .001). After discharge, 77.6% of smokers and 78.6% of SLT users reported trying to quit (p = .81). Six-month continuous abstinence after discharge was reported by 27.2% of smokers and 24.6% of SLT users (p = .56). Nearly all relapses to tobacco use after discharge occurred within 30 days and did not differ by tobacco type (log-rank p = .08). Use of evidence-based cessation treatment was reported by 6.5% (N = 26).

CONCLUSIONS

Three-quarters of tobacco users in a Mumbai hospital attempted to quit after discharge. One-quarter reported continuous tobacco abstinence for 6 months despite little use of cessation treatment. Increasing post-discharge cessation support could further increase cessation rates and improve patient outcomes.

IMPLICATIONS

No prior study has measured the patterns of tobacco use and cessation among hospitalized tobacco users in India. Three-quarters of tobacco users admitted to a hospital in Mumbai attempted to quit after discharge, and one-quarter remained tobacco-free for 6 months, indicating that hospitalization may be an opportune time to offer a cessation intervention. Although smokers and SLT users differed in socioeconomic status, perceived risks and interest in quitting, they did not differ in their ability to stay abstinent after hospital discharge.

SmokefreeTXT for Homeless Smokers: Pilot Randomized Controlled Trial

Background

Homeless smokers want to quit smoking but face numerous barriers to doing so, including pervasive smoking among peers and a lack of social support for quitting. An SMS (short message service) text messaging intervention could address these challenges by providing virtual daily support for homeless smokers who are trying to quit but coping with multiple triggers to smoke.

Objective

This study aimed to assess whether a free SMS text messaging program, added to evidence-based pharmacotherapy and counseling, improved smoking abstinence among homeless adult smokers.

Methods

From October 2015 to June 2016, we conducted an 8-week pilot randomized controlled trial (RCT) of nicotine patch therapy and weekly in-person counseling with (n=25) or without (n=25) SmokefreeTXT, a free SMS text messaging service administered by the National Cancer Institute (NCI) at Boston Health Care for the Homeless Program. All participants were provided with a mobile phone and a 2-month prepaid voice and text plan at no cost. SmokefreeTXT enrollees were sent 1 to 5 automated SMS text messages daily for up to 8 weeks and could receive on-demand tips for managing cravings, mood symptoms, and smoking lapses. The primary outcome was smoking abstinence, defined as an exhaled carbon monoxide count of <8 parts per million, assessed 14 times over 8 weeks of follow-up, and analyzed using repeated-measures logistic regression with generalized estimating equations. Other outcomes were use of SmokefreeTXT, assessed by data obtained from NCI; perceptions of SmokefreeTXT, assessed by surveys and qualitative interviews; and mobile phone retention, assessed by self-report.

Results

Of the SmokefreeTXT arm participants (n=25), 88% (22) enrolled in the program, but only 56% (14) had confirmed enrollment for ≥2 weeks. Among 2-week enrollees, the median response rate to interactive messages from SmokefreeTXT was 2.1% (interquartile range 0-10.5%). Across all time points, smoking abstinence did not differ significantly between SmokefreeTXT and control arm participants (odds ratio 0.92, 95% CI 0.30-2.84). Of SmokefreeTXT enrollees who completed exit surveys (n=15), two-thirds were very or extremely satisfied with the program. However, qualitative interviews (n=14) revealed that many participants preferred in-person intervention formats over phone-based, found the SMS text messages impersonal and robotic, and felt that the messages were too frequent and repetitive. Only 40% (10/25) of SmokefreeTXT arm participants retained their study-supplied mobile phone for the 8-week duration of the trial, with phone theft being common. Storing and charging phones were cited as challenges.

Conclusions

SmokefreeTXT, added to nicotine patch therapy and in-person counseling, did not significantly improve smoking abstinence in this 8-week pilot RCT for homeless smokers. SMS text messaging interventions for this population should be better tuned to the unique circumstances of homelessness and coupled with efforts to promote mobile phone retention over time.

Trial Registration

ClinicalTrials.gov NCT02565381; https://clinicaltrials.gov/ct2/show/NCT02565381 (Archived by WebCite at http://www.webcitation.org/78PLpDptZ)

Proactive text messaging (GetReady2Quit) and nicotine replacement therapy to promote smoking cessation among smokers in primary care: A pilot randomized trial protocol

INTRODUCTION

Most smokers see a physician each year, but few use any assistance when they try to quit. Text messaging programs improve smoking cessation in community and school settings; however, their efficacy in a primary care setting is unclear. The current trial assesses the feasibility and preliminary clinical outcomes of text messaging and mailed nicotine replacement therapy (NRT) among smokers in primary care.

METHODS

In this single-center pilot randomized trial, eligible smokers in primary care are offered brief advice by phone and randomly assigned to one of four interventions: (1) Brief advice only, (2) text messages targeted to primary care patients and tailored to quit readiness, (3) a 2-week supply of nicotine patches and/or lozenges (NRT), and (4) both text messaging and NRT. Randomization is stratified by practice and intention to quit. The text messages (up to 5/day) encourage those not ready to quit to practice a quit attempt, assist those with a quit date through a quit attempt, and promote NRT use. The 2-week supply of NRT is mailed to patients' homes.

RESULTS

Feasibility outcomes include recruitment rates, study retention, and treatment adherence. Clinical outcomes are assessed at 1, 2, 6, and 12-weeks post-enrollment. The primary outcome is ≥1self-reported quit attempt(s). Secondary clinical outcomes include self-reported past 7- and 30-day abstinence, days not smoked, NRT adherence, and exhaled carbon monoxide.

CONCLUSIONS

This pilot assesses text messaging plus NRT, as a proactively offered intervention for smoking cessation support in smokers receiving primary care and will inform full-scale randomized trial planning.

TRIAL REGISTRATION

ClinicalTrials.govNCT03174158.

Electronic cigarette use patterns and reasons for use among smokers recently diagnosed with cancer

Many patients with cancer use electronic cigarettes (e‐cigarettes), yet little is known about patterns and reasons for use. Using cross‐sectional baseline data from a randomized controlled trial, we aimed to describe prevalence and correlates of e‐cigarette use, frequency of use, and reasons for use among smokers recently diagnosed with cancer. Participants (n = 302) included adults (age ≥18 years) recently diagnosed with varied cancer types who smoked ≥1 cigarette within the past 30‐d from two US academic medical centers. Participants reported ever and current e‐cigarette use, and current e‐cigarette users reported days of e‐cigarette use and the main reason for use. We compared current, former, and never e‐cigarette users by sociodemographics, cancer type, medical comorbidities, smoking behaviors, attitudes, and emotional symptoms, and described use among current e‐cigarette users. Of smokers recently diagnosed with cancer, 49% (n = 149) reported ever e‐cigarette use and 19% (n = 56) reported current use. Of current e‐cigarette users, 29% (n = 16) reported daily use. Current e‐cigarette users did not differ from former and never e‐cigarette users by cancer type, smoking behaviors, or emotional symptoms. Women were more likely to be current users than never users, and current e‐cigarette users had less education than former users. Most current e‐cigarette users reported using them to help quit smoking (75%). One in five smokers with cancer report current e‐cigarette use, but most are not using e‐cigarettes daily. The majority report using e‐cigarettes to quit smoking. E‐cigarette use by patients with cancer appears to reflect a desire to quit smoking.

A Mixed Methods Approach to Evaluate Partnerships and Implementation of the Massachusetts Prevention and Wellness Trust Fund

Background: Strong partnerships are critical to integrate evidence-based prevention interventions within clinical and community-based settings, offering multilevel and sustainable solutions to complex health issues. As part of Massachusetts' 2012 health reform, The Prevention and Wellness Trust Fund (PWTF) funded nine local partnerships throughout the state to address hypertension, pediatric asthma, falls among older adults, and tobacco use. The initiative was designed to improve health outcomes through prevention and disease management strategies and reduce healthcare costs.

Purpose: Describe the mixed-methods study design for investigating PWTF implementation.

Methods: The Consolidated Framework for Implementation Research guided the development of this evaluation. First, the study team conducted semi-structured qualitative interviews with leaders from each of nine partnerships to document partnership development and function, intervention adaptation and delivery, and the influence of contextual factors on implementation. The interview findings were used to develop a quantitative survey to assess the implementation experiences of 172 staff from clinical and community-based settings and a social network analysis to assess changes in the relationships among 72 PWTF partner organizations. The quantitative survey data on ratings of perceived implementation success were used to purposively select 24 staff for interviews to explore the most successful experiences of implementing evidence-based interventions for each of the four conditions.

Conclusions: This mixed-methods approach for evaluation of implementation of evidence-based prevention interventions by PWTF partnerships can help decision-makers set future priorities for implementing and assessing clinical-community partnerships focused on prevention.

Smoking-Cessation Efforts by US Adult Smokers with Medical Comorbidities

BACKGROUND

Continued cigarette smoking by individuals with chronic medical diseases can adversely affect their symptoms, disease progression, and mortality. We assessed the association between medical comorbidities and smoking-cessation efforts among US adult smokers.

METHODS

We analyzed cross-sectional data from 12,494 past-year cigarette smokers aged ≥18 years from Wave 1 (2013-2014) of the nationally representative Population Assessment of Tobacco and Health study. We assessed the association between self-reported medical comorbidities and past-year quit attempts, use of evidence-based smoking-cessation treatment or electronic cigarettes, and successful smoking cessation using logistic regression, adjusting for sociodemographics, insurance status, geographic region, and having a past-year doctor visit.

RESULTS

In the study sample, 39% were aged 18 to 34 years, 45% were female, 70% were non-Hispanic white, and 48% reported ≥1 comorbidity. Smokers with any comorbidity, compared with those without comorbidities, had higher odds of trying to quit (adjusted odds ratio, 1.19; 95% confidence interval, 1.08-1.30), but no higher likelihood of quitting success. Having more medical comorbidities was associated with increased odds of trying to quit. Smokers with a comorbidity used evidence-based treatment more often than smokers without comorbidities (43% vs 26%); use of e-cigarettes to quit was similar between smokers with and without comorbidities (27% vs 28%).

CONCLUSIONS

Adult smokers with chronic medical diseases try to quit and use evidence-based tobacco-cessation treatment more often than smokers without comorbidities, but they are no more likely to quit, suggesting that their quit attempts are less likely to succeed. Smokers with medical comorbidities may require more intensive, prolonged, and repeated treatment to stop smoking.

Feasibility of a proactive text messaging intervention for smokers in community health centers

Background

Few smokers receive evidence-based cessation services during primary care visits.

Objective

We aimed to assess the feasibility of a proactive text messaging program for primary care patients who smoke.

Methods

We used electronic health records to identify smokers who had a mobile phone number listed from two community health centers in Massachusetts. Between March 2014 and June 2015, patients were screened by their primary care physician and then sent a proactive text message inviting them to enroll by texting back. Patients who opted in were asked about their readiness to quit. The text message program included messages from the QuitNowTXT library and novel content for smokers who were not ready to quit.

Results

Among 949 eligible smokers, 88 (9.3%) enrolled after receiving a single proactive text message. Compared with those who did not enroll, enrollees were more often female (54/88, 61% vs 413/861, 48.0%, P=.02), but otherwise did not differ in age, race, insurance status, or comorbidities. In all, 28% (19/67) of enrollees reported they were not ready to quit in the next 30 days, 61% (41/67) were ready to quit, and 11% (7/67) already quit. The median time in the program was 9 days (interquartile range 2-32 days). Of current smokers, 25% (15/60) sent one or more keyword requests to the server. These did not differ by readiness to quit.

Conclusions

A proactively delivered text messaging program targeting primary care patients who smoke was feasible and engaged both smokers ready to quit and those not ready to quit. This method shows promise as part of a population health model for addressing tobacco use outside of the primary care office.

Use of Electronic Cigarettes Among U.S. Adults With Medical Comorbidities

INTRODUCTION

Electronic cigarette (e-cigarette) use is rising in the U.S. Smokers with comorbidities may increasingly use e-cigarettes if they believe e-cigarettes reduce smoking-related harm. This study examined e-cigarette use among adults with medical comorbidities.

METHODS

In 2016, this study analyzed 68,136 U.S. adults in the 2014 and 2015 National Health Interview Survey. Prevalent e-cigarette use by medical comorbidities and adjusted odds of e-cigarette use were calculated.

RESULTS

Among current cigarette smokers, ever use of e-cigarettes was more often reported by adults with one or more medical comorbidity versus those without comorbidity (18-24 years: 73.5% vs 61.4%; 25-44 years: 60.6% vs 54.3%; 45-64 years: 46.5% vs 40.3%; ≥65 years: 35.2% vs 19.4%; all p<0.05). Current smokers aged 25-64 years with one or more comorbidity reported current e-cigarette use more often than those without comorbidity (25-44 years, 17.8% vs 14.3%, p=0.03; 45-64 years, 15.9% vs 11.5%, p=0.02). Current smokers with chronic obstructive pulmonary disease, asthma, and cardiovascular disease had higher odds of ever e-cigarette use versus those without comorbidity. Current smokers with asthma and cardiovascular disease had higher odds of current e-cigarette use. Former smokers with chronic obstructive pulmonary disease had higher odds of ever and current e-cigarette use and former smokers with cancer had lower odds of current e-cigarette use.

CONCLUSIONS

E-cigarette use by current and former smokers with medical comorbidities is substantial, especially among individuals with chronic lung or cardiovascular disease. Clinicians should routinely ask these patients about e-cigarette use, actively consider all pathways to help their patients quit combustible cigarettes, and recommend evidence-based treatments.

Meaningful Use of the Indian Health Service Electronic Health Record

OBJECTIVE

To understand the use of electronic health record (EHR) functionalities by physicians practicing in an underserved setting.

DATA SOURCE/STUDY SETTING

A total of 333 Indian Health Service physicians (55 percent response rate) in August 2012.

STUDY DESIGN

Cross-sectional.

DATA COLLECTION

The survey assessed routine use of EHR functionalities, perceived usefulness, and barriers to adoption.

PRINCIPAL FINDINGS

Physicians routinely used a median 7 of 10 EHR functionalities targeted by the Meaningful Use program, but only 5 percent used all 10. Most (63 percent) felt the EHR improved quality of care. Many (76 percent) reported increased documentation time and poorer quality patient-physician interactions (45 percent). Primary care specialty and time using the EHR were positively associated with use of EHR functionalities, while perceived productivity loss was negatively associated.

CONCLUSIONS

Significant opportunities exist to increase use of EHR functionalities and preserve physician-patient interactions and productivity in a resource-limited environment.

Tobacco Dependence Treatment Training Programs: An International Survey

INTRODUCTION

In line with Article 14 guidelines for the WHO Framework Convention on Tobacco Control, we aimed to assess the progress in training individuals to deliver tobacco cessation treatment.

METHODS

Cross-sectional web-based survey in May-September 2013 among 122 experts in tobacco control and training from 84 countries (73% response rate among 115 countries surveyed). We measured training program prevalence, participants, and challenges faced.

RESULTS

Overall, 21% (n = 18/84) of countries, mostly low and middle-income countries (LMICs; P = .002), reported no training program. Among 66 countries reporting at least one training program, most (84%) trained healthcare professionals but 54% also trained other individuals including community health workers, teachers, and religious leaders. Most programs (54%) cited funding challenges, although stability of funding varied by income level. Government funding was more commonly reported in higher income countries (high 56%, upper middle 50%, lower middle 27%, low 25%; P = .03) while programs in LMICs relied more on nongovernmental organizations (high 11%, upper middle 37%, lower middle 27%, low 38%; P = .02).

CONCLUSIONS

One in five countries reported having no tobacco treatment training program representing little progress in terms of training individuals to deliver tobacco treatment in LMICs. Without more trained tobacco treatment providers, one of the tenets of Article 14 is not yet being met and health inequalities are likely to widen. More effort and resources are needed to ensure that healthcare worker educational programs include training to assess tobacco use and deliver brief advice and that training is available for individuals outside the healthcare system in areas with limited healthcare access.

Overuse of colonoscopy for colorectal cancer screening and surveillance

BACKGROUND

Ongoing efforts to increase colorectal cancer (CRC) screening rates have raised concerns that these exams may be overused, thereby subjecting patients to unnecessary risks and wasting healthcare resources.

OBJECTIVE

Our aim was to measure overuse of screening and surveillance colonoscopies among average-risk adults, and to identify correlates of overuse.

DESIGN, SETTING, AND PARTICIPANTS

Our approach was a retrospective cohort study using electronic health record data for patients 50-65 years old with no personal history of CRC or colorectal adenomas with an incident CRC screening colonoscopy from 2001 to 2010 within a multispecialty physician group practice.

MAIN OUTCOME MEASURES

We measured time to next screening or surveillance colonoscopy and predictors of overuse (exam performed more than one year earlier than guideline recommended intervals) of colonoscopies.

KEY RESULTS

We identified 1,429 adults who had an incident colonoscopy between 2001 and 2010, and they underwent an additional 871 screening or surveillance colonoscopies during a median follow-up of 6 years. Most follow-up screening colonoscopies (88%) and many surveillance colonoscopies (49%) repeated during the study represented overuse. Time to next colonoscopy after incident screening varied by exam findings (no polyp: median 6.9 years, interquartile range [IQR]: 5.1-10.0; hyperplastic polyp: 5.7 years, IQR: 4.9-9.7; low-risk adenoma: 5.1 years, IQR: 3.3-6.3; high-risk adenoma: 2.9 years, IQR: 2.0-3.4, p < 0.001). In logistic regression models of colonoscopy overuse, an endoscopist recommendation for early follow-up was strongly associated with overuse of screening colonoscopy (OR 6.27, 95% CI: 3.15-12.50) and surveillance colonoscopy (OR 13.47, 95% CI 6.61-27.46). In a multilevel logistic regression model, variation in the overuse of screening colonoscopy was significantly associated with the endoscopist performing the previous exam.

CONCLUSIONS

Overuse of screening and surveillance exams are common and should be monitored by healthcare systems. Variations in endoscopist recommendations represent targets for interventions to reduce overuse.

Healthcare system effects of pay-for-performance for smoking status documentation

OBJECTIVES

To evaluate the impact on smoking status documentation of a payer-sponsored pay-for-performance (P4P) incentive that targeted a minority of an integrated healthcare delivery system's patients.

STUDY DESIGN

Three commercial insurers simultaneously adopted P4P incentives to document smoking status of their members with 3 chronic diseases. The healthcare system responded by adding a smoking status reminder to all patients' electronic health records (EHRs). We measured change in smoking status documentation before (2008-2009) and after (2010-2011) P4P implementation by patient P4P eligibility.

METHODS

The P4P-eligible patients were compared primarily with a subset of non-P4P-eligible patients who resembled P4P-eligible patients and also with all non-P4P-eligible patients. Multivariate models adjusted for patient and provider characteristics and accounted for provider-level clustering and preimplementation trends.

RESULTS

Documentation increased from 48% of 207,471 patients before P4P to 71% of 227,574 patients after P4P. Improvement from 56% to 83% occurred among P4P-eligible patients (adjusted odds ratio [AOR], 3.6; 95% confidence interval [CI], 2.9-4.5) and from 56% to 80% among the comparable subset of non-P4P-eligible patients (AOR, 3.0; 95% CI, 2.3-3.9). The difference in improvement between groups was significant (AOR, 1.3; 95% CI, 1.1-1.4; P = .009).

CONCLUSIONS

A P4P incentive targeting a minority of a healthcare system's patients stimulated adoption of a system wide EHR reminder and improved smoking status documentation overall. Combining a P4P incentive with an EHR reminder might help healthcare systems improve treatment delivery for smokers and meet "meaningful use" standards for EHRs.

An analysis of Liberia's 2007 national health policy: lessons for health systems strengthening and chronic disease care in poor, post-conflict countries

BACKGROUND

Globally, chronic diseases are responsible for an enormous burden of deaths, disability, and economic loss, yet little is known about the optimal health sector response to chronic diseases in poor, post-conflict countries. Liberia's experience in strengthening health systems and health financing overall, and addressing HIV/AIDS and mental health in particular, provides a relevant case study for international stakeholders and policymakers in other poor, post-conflict countries seeking to understand and prioritize the global response to chronic diseases.

METHODS

We conducted a historical review of Liberia's post-conflict policies and their impact on general economic and health indicators, as well as on health systems strengthening and chronic disease care and treatment. Key sources included primary documents from Liberia's Ministry of Health and Social Welfare, published and gray literature, and personal communications from key stakeholders engaged in Liberia's Health Sector Reform. In this case study, we examine the early reconstruction of Liberia's health care system from the end of conflict in 2003 to the present time, highlight challenges and lessons learned from this initial experience, and describe future directions for health systems strengthening and chronic disease care and treatment in Liberia.

RESULTS

Six key lessons emerge from this analysis: (i) the 2007 National Health Policy's 'one size fits all' approach met aggregate planning targets but resulted in significant gaps and inefficiencies throughout the system; (ii) the innovative Health Sector Pool Fund proved to be an effective financing mechanism to recruit and align health actors with the 2007 National Health Policy; (iii) a substantial rural health delivery gap remains, but it could be bridged with a robust cadre of community health workers integrated into the primary health care system; (iv) effective strategies for HIV/AIDS care in other settings should be validated in Liberia and adapted for use in other chronic diseases; (v) mental health disorders are extremely prevalent in Liberia and should remain a top chronic disease priority; and (vi) better information systems and data management are needed at all levels of the health system.

CONCLUSIONS

The way forward for chronic diseases in Liberia will require an increased emphasis on quality over quantity, better data management to inform rational health sector planning, corrective mechanisms to more efficiently align health infrastructure and personnel with existing needs, and innovative methods to improve long-term retention in care and bridge the rural health delivery gap.

Burnout and use of HIV services among health care workers in Lusaka District, Zambia: a cross-sectional study

BACKGROUND

Well-documented shortages of health care workers in sub-Saharan Africa are exacerbated by the increased human resource demands of rapidly expanding HIV care and treatment programmes. The successful continuation of existing programmes is threatened by health care worker burnout and HIV-related illness.

METHODS

From March to June 2007, we studied occupational burnout and utilization of HIV services among health providers in the Lusaka public health sector. Providers from 13 public clinics were given a 36-item, self-administered questionnaire and invited for focus group discussions and key-informant interviews.

RESULTS

Some 483 active clinical staff completed the questionnaire (84% response rate), 50 staff participated in six focus groups, and four individuals gave interviews. Focus group participants described burnout as feeling overworked, stressed and tired. In the survey, 51% reported occupational burnout. Risk factors were having another job (RR 1.4 95% CI 1.2-1.6) and knowing a co-worker who left in the last year (RR 1.6 95% CI 1.3-2.2). Reasons for co-worker attrition included: better pay (40%), feeling overworked or stressed (21%), moving away (16%), death (8%) and illness (5%). When asked about HIV testing, 370 of 456 (81%) reported having tested; 240 (50%) tested in the last year. In contrast, discussion groups perceived low testing rates. Both discussion groups and survey respondents identified confidentiality as the prime reason for not undergoing HIV testing.

CONCLUSION

In Lusaka primary care clinics, overwork, illness and death were common reasons for attrition. Programmes to improve access, acceptability and confidentiality of health care services for clinical providers and to reduce workplace stress could substantially affect workforce stability.

Factors associated with missed first appointments at a psychiatric clinic

This study identified characteristics ofpatients who missed their intake appointments at a university psychiatric outpatient clinic for persons with serious mental illness after referral from a state agency. Of the 313 patients whose charts were reviewed, 113 (36 percent) missed their appointment. Demographic characteristics, DSM-IV diagnoses, clinician rating scales, and psychopharmacological therapy were compared between attenders and nonattenders. Five predictors of nonattendance were significant: being younger, being Hispanic, having a poor family support system, not taking psychotropic medications, and having health insurance. Persons at greater risk of missing their intake appointment may be prospectively identified and targeted for measures to improve compliance.

Factors associated with attendance at a first appointment after discharge from a psychiatric hospital

A retrospective review of medical records of 158 patients who were discharged from a university-affiliated psychiatric hospital in the Midwest found that 29 patients (18 percent) did not attend their scheduled follow-up appointment. Multivariate logistic regression analysis showed that patients who were white, who lived in an urban county, and whose scheduled appointment was within two weeks of discharge were significantly more likely to attend their follow-up appointment. The study showed that patients who have an elevated risk of missing their follow-up appointment after hospital discharge can be prospectively identified. This information can be used to develop strategies for improving the likelihood that at-risk patients will receive follow-up care.