Improving Provisioning of an Inpatient Portal: Perspectives from Nursing Staff

BACKGROUND

 Inpatient portals are recognized to provide benefits for both patients and providers, yet the process of provisioning tablets to patients by staff has been difficult for many hospitals.

OBJECTIVE

 Our study aimed to identify and describe practices important for provisioning an inpatient portal from the perspectives of nursing staff and provide insight to enable hospitals to address challenges related to provisioning workflow for the inpatient portal accessible on a tablet.

METHODS

 Qualitative interviews were conducted with 210 nursing staff members across 26 inpatient units in six hospitals within The Ohio State University Wexner Medical Center (OSUWMC) following the introduction of tablets providing access to an inpatient portal, MyChart Bedside (MCB). Interviews asked questions focused on nursing staffs' experiences relative to MCB tablet provisioning. Verbatim interview transcripts were coded using thematic analysis to identify factors associated with tablet provisioning. Unit provisioning performance was established using data stored in the OSUWMC electronic health record about provisioning status. Provisioning rates were divided into tertiles to create three levels of provisioning performance: (1) higher; (2) average; and (3) lower.

RESULTS

 Three themes emerged as critical strategies contributing to MCB tablet provisioning success on higher-performing units: (1) establishing a feasible process for MCB provisioning; (2) having persistent unit-level MCB tablet champions; and (3) having unit managers actively promote MCB tablets. These strategies were described differently by staff from the higher-performing units when compared with characterizations of the provisioning process by staff from lower-performing units.

CONCLUSION

 As inpatient portals are recognized as a powerful tool that can increase patients' access to information and enhance their care experience, implementing the strategies we identified may help hospitals' efforts to improve provisioning and increase their patients' engagement in their health care.

Exploring perspectives on changing opioid prescribing practices: A qualitative study of community stakeholders in the HEALing Communities Study

BACKGROUND

Community-based perspectives are needed to more broadly inform policy-makers, public health practitioners, prescribers, and pharmacists about community-led and broader efforts to reduce opioid overprescribing, and ultimately reduce prescription opioid use disorder, overdoses and fatalities. The aim of this study is to explore community-based perspectives on efforts to change opioid prescribing practices in their communities.

METHODS

Semi-structured interviews were conducted with 388 community stakeholders across four states (Kentucky, Massachusetts, New York, Ohio) from November 2019 to January 2020 about community approaches and goals of community-led responses to the opioid crisis. Data analysis combined deductive and inductive approaches to identify themes and sub-themes related to improving opioid prescribing practices.

RESULTS

Three major themes and different subthemes were characterized: (1) acknowledging progress (i.e., healthcare providers being part of the solution, provider education, and prescription drug monitoring programs); (2) emergent challenges (i.e., physician nonadherence with safer opioid prescribing guidelines, difficulty identifying appropriate use of opioids, and concerns about accelerating the progression from opioid misuse to drug abuse); and (3) opportunities for change (i.e., educating patients about safer use and proper disposal of opioids, expanding prescriber and pharmacist education, changing unrealistic expectations around eliminating pain, expanding and increasing insurance coverage for alternative treatment options).

CONCLUSIONS

Community stakeholders appeared to support specific opportunities to reduce prescription opioid misuse and improve safer prescribing. The opportunities included culture change around pain expectations, awareness of safe disposal, additional provider education, and increased coverage and acceptability of non-opioid treatments.

Approaches for overcoming barriers to cross-sector data sharing

OBJECTIVES

To characterize factors influencing the development and sustainability of data sharing in the Mid-Ohio Farmacy (MOF), a produce referral program implemented in partnership between a community-based organization (the Mid-Ohio Food Collective ["Food Collective"]) and an academic medical center (The Ohio State University Wexner Medical Center [OSUWMC]).

STUDY DESIGN

We used an in-depth case study approach to identify challenges that arose during implementation of the MOF and related solutions via semistructured interviews with representatives of both organizations (May-September 2020).

METHODS

Key informants from OSUWMC (n = 20) and the Food Collective (n = 11) were identified using a combination of purposive and convenience sampling; they included administrators, project champions, clinical providers, and food pantry representatives. Interview transcripts were coded using a deductive dominant approach guided by a logic model aimed at determining the resources and activities relevant to the development of the partnership.

RESULTS

Challenges of cross-sector data sharing fit into 3 themes: data sharing regulations, data exchange capabilities, and cross-sector data integration. Overcoming these challenges required creative workarounds-for example, linking patients across organizations was done via establishment of a unique, partnership-specific patient identifier, which was incorporated into the health system's electronic health record for continuity.

CONCLUSIONS

Our findings suggest that current regulatory frameworks are misspecified to the growing interest in cross-sector partnerships between health care and community-based organizations. Future efforts to support these relationships should consider clarifying rules around data sharing and increasing Medicaid support for nonmedical, health-related social needs.

Characterization of Electronic Health Record Use Outside Scheduled Clinic Hours among Primary Care Pediatricians: A Retrospective Descriptive Task Analysis of Electronic Health Record Access Log Data (Preprint)

Background

Many of the benefits of electronic health records (EHRs) have not been achieved at expected levels because of a variety of unintended negative consequences such as documentation burden. Previous studies have characterized EHR use during and outside work hours, with many reporting that physicians spend considerable time on documentation-related tasks. These studies characterized EHR use during and outside work hours using clock time versus actual physician clinic schedules to define the outside work time.

Objective

This study aimed to characterize EHR work outside scheduled clinic hours among primary care pediatricians using a retrospective descriptive task analysis of EHR access log data and actual physician clinic schedules to define work time.

Methods

We conducted a retrospective, exploratory, descriptive task analysis of EHR access log data from primary care pediatricians in September 2019 at a large Midwestern pediatric health center to quantify and identify actions completed outside scheduled clinic hours. Mixed-effects statistical modeling was used to investigate the effects of age, sex, clinical full-time equivalent status, and EHR work during scheduled clinic hours on the use of EHRs outside scheduled clinic hours.

Results

Primary care pediatricians (n=56) in this study generated 1,523,872 access log data points (across 1069 physician workdays) and spent an average of 4.4 (SD 2.0) hours and 0.8 (SD 0.8) hours per physician per workday engaged in EHRs during and outside scheduled clinic hours, respectively. Approximately three-quarters of the time working in EHR during or outside scheduled clinic hours was spent reviewing data and reports. Mixed-effects regression revealed no associations of age, sex, or clinical full-time equivalent status with EHR use during or outside scheduled clinic hours.

Conclusions

For every hour primary care pediatricians spent engaged with the EHR during scheduled clinic hours, they spent approximately 10 minutes interacting with the EHR outside scheduled clinic hours. Most of their time (during and outside scheduled clinic hours) was spent reviewing data, records, and other information in EHR.

Improving Training Motivation and Transfer in Hospitals: Extension of a Conceptual Model

Health-care professionals undergo numerous training programs each year in order to fulfill licensure requirements and organizational obligations. However, evidence suggests that a substantial amount of what is taught during training is never learned or transferred back to routine work. A major contributor to this issue is low training motivation. Prior conceptual models on training transfer in the organizational sciences literature consider this deficit, yet do not account for the unique conditions of the hospital setting. This chapter seeks to close this gap by adapting conceptual models of training transfer to this setting that are grounded in organizational science. Based on theory and supplemented by semistructured key informant interviews (i.e., organizational leaders and program directors), we introduce an applied model of training motivation to facilitate training transfer in the hospital setting. In this model, training needs analysis is positioned as a key antecedent to ensure support for training, relevant content, and perceived utility of training. We posit that these factors, along with training design and logistics, enhance training motivation in hospital environments. Further, we suggest that training motivation subsequently impacts learning and transfer, with elements of the work environment also serving as moderators of the learning-transfer relationship. Factors such as external support for training content (e.g., from accrediting bodies) and allocation of time for training are emphasized as facilitators. The proposed model suggests there are factors unique to the hospital work setting that impact training motivation and transfer that should be considered when developing and implementing training initiatives in this setting.

Examining Patients' Capacity to Use Patient Portals: Insights for Telehealth

BACKGROUND

The increase in telehealth in response to the coronavirus disease 2019 pandemic highlights the need to understand patients' capacity to utilize this care modality. Patient portals are a tool whose use requires similar resources and skills as those required for telehealth. Patients' capacity to use patient portals may therefore provide insight regarding patients' readiness and capacity to use telehealth.

OBJECTIVE

The aim of this study was to examine factors related to patients' capacity to use a patient portal and test the impact of these factors on patients' portal use.

RESEARCH DESIGN AND SUBJECTS

Using data from a large-scale pragmatic randomized controlled trial of patient portal use, 1081 hospitalized patients responded to survey items that were then mapped onto the 4 dimensions of the Engagement Capacity Framework: self-efficacy, resources, willingness, and capabilities.

MEASURES

The outcome variable was frequency of outpatient portal use. We evaluated associations between Engagement Capacity Framework dimensions and patient portal use, using regression analyses.

RESULTS

Patients with fewer resources, fewer capabilities, lower willingness, and lower overall capacity to use patient portals used the portal less; in contrast, those with lower perceived self-efficacy used the portal more.

CONCLUSIONS

Our findings highlight differences in patients' capacity to use patient portals, which provide an initial understanding of factors that may influence the use of telehealth and offer important guidance in efforts to support patients' telehealth use. Offering patients training tailored to the use of telehealth tools may be particularly beneficial.

Patient Portals: Useful for Whom and for What? A Cross-Sectional Analysis of National Survey Data

BACKGROUND

Patients who use patient portals may be more engaged and empowered in their care; however, differences in who accesses patient portals remain. The characteristics of who uses patient portals more frequently and who perceives them as useful may also differ, as well as which functions people use.

OBJECTIVE

We assessed the characteristics of patient portal users to examine who uses them more frequently and who perceives them as useful. In addition, we wanted to see if those who use them more frequently or perceive them to be more useful use different functions or more functions of patient portals.

METHODS

Pooled cross-sectional data from 2017 to 2018 Health Information National Trends Survey (HINTS) were used. Ordinal regression models were developed to assess frequency of use and perceived usefulness by demographics, and multivariable logistic regression models were used to examine the association between the use of 10 patient portal functions and frequency of use and perceived usefulness of patient portals.

RESULTS

The odds of using patient portals more frequently were higher among those with Bachelor's degrees, incomes between $35,000 and $75,000, and those with two or more chronic conditions. Respondents with three or more chronic conditions had higher odds of rating patient portals as useful. Those who used their patient portal 10 or more times in the past year had higher odds of using all functions except for viewing test results compared with those who used their patient portal one to two times per year. Those who rated patient portals as "very useful" had higher odds of using seven of the functions compared with those who rated them "not very"/"not at all useful."

CONCLUSION

It is important to continue to assess usefulness, frequency of use, and overall patient portal function use to identify opportunities to increase patient engagement with patient portals.

Management practices for leaders to promote infection prevention: Lessons from a qualitative study

BACKGROUND

Prevention of healthcare-associated infections (HAIs) is critical to reduce preventable deaths and healthcare costs. Variable success with HAI prevention efforts has suggested that management practices are critical to support clinical infection prevention practices. This study examined hospital leaders' management practices around the prevention of catheter-associated urinary tract infections (CAUTIs) and central line-associated bloodstream infections (CLABSIs) to identify actions that leaders can take to promote HAI prevention efforts.

METHODS

We conducted interviews with 420 key informants, including managers and frontline staff, in 18 hospitals across the United States. Interviewees were asked about management practices supporting HAI prevention. We analyzed interview transcripts using rigorous qualitative methods to understand how management practices were operationalized in infection prevention efforts.

RESULTS

Across hospitals and interviewees, three management practices were characterized as important facilitators of HAI prevention: (1) engagement of executive leadership; (2) information sharing; and (3) manager coaching. We found that visible executive leadership, efficient communication, and frequent opportunities to provide and promote learning from feedback were perceived to promote and sustain HAI prevention efforts.

CONCLUSIONS

Our findings provide insight into management practices for leaders that support successful HAI prevention. In practice, these tactics may need to be adjusted to accommodate the current restrictions caused by the COVID-19 pandemic, in order to maintain HAI prevention efforts as a priority.

Identifying Opportunities to Strengthen the Public Health Informatics Infrastructure: Exploring Hospitals' Challenges with Data Exchange

Policy Points Even though most hospitals have the technological ability to exchange data with public health agencies, the majority continue to experience challenges. Most challenges are attributable to the general resources of public health agencies, although workforce limitations, technology issues such as a lack of data standards, and policy uncertainty around reporting requirements also remain prominent issues. Ongoing funding to support the adoption of technology and strengthen the development of the health informatics workforce, combined with revising the promotion of the interoperability scoring approach, will likely help improve the exchange of electronic data between hospitals and public health agencies.

CONTEXT

The novel coronavirus 2019 (COVID-19) pandemic has highlighted significant barriers in the exchange of essential information between hospitals and local public health agencies. Thus it remains important to clarify the specific issues that hospitals may face in reporting to public health agencies to inform focused approaches to improve the information exchange for the current pandemic as well as ongoing public health activities and population health management.

METHODS

This study uses cross-sectional data of acute-care, nonfederal hospitals from the 2017 American Hospital Association Annual Survey and Information Technology supplement. Guided by the technology-organization-environment framework, we coded the responses to a question regarding the challenges that hospitals face in submitting data to public health agencies by using content analysis according to the type of challenge (i.e., technology, organization, or environment), responsible entity (i.e., hospital, public health agency, vendor, multiple), and the specific issue described. We used multivariable logistic and multinomial regression to identify characteristics of hospitals associated with experiencing the types of challenges.

FINDINGS

Our findings show that of the 2,794 hospitals in our analysis, 1,696 (61%) reported experiencing at least one challenge in reporting health data to a public health agency. Organizational issues were the most frequently reported type of challenge, noted by 1,455 hospitals. The most common specific issue, reported by 1,117 hospitals, was the general resources of public health agencies. An advanced EHR system and participation in a health information exchange both decreased the likelihood of not reporting experiencing a challenge and increased the likelihood of reporting an organizational challenge.

CONCLUSIONS

Our findings inform policy recommendations such as improving data standards, increasing funding for public health agencies to improve their technological capabilities, offering workforce training programs, and increasing clarity of policy specifications and reporting. These approaches can improve the exchange of information between hospitals and public health agencies.

Odds of Meeting Cancer Prevention Behavior Recommendations by Health Information Seeking Behavior: a Cross-Sectional HINTS Analysis

People who seek health information frequently may be more likely to meet health behavior goals; however, people use many different information sources. The purpose of this paper is to assess how different sources of health information influence likelihood of meeting cancer prevention behavior guidelines. Logistic regression of cross-sectional data from 6 years of the Health Information National Trends Survey (HINTS) was conducted. Independent variables included first source of health information, gender, age, race, education level, income, cancer history, general health, and data year; dependent variables were fruit and vegetable intake, exercise, smoking, mammography, Pap test, and colon cancer screening. Those who seek health information from doctors, the internet, or publications had higher odds of meeting more cancer prevention guidelines than those who do not seek health information. Those who used healthcare providers as an initial information source had higher odds of meeting diet, cervical, and colon cancer screening recommendations, while using the internet as an initial source of health information was associated with higher odds of meeting diet, smoking, and colon cancer screening recommendations. No health information source was associated with meeting either exercise or mammography recommendations. People should be encouraged to seek health information to help them meet their behavior goals, especially from sources that are more likely to be accurate and encourage cancer prevention behavior. Future research is needed to understand the accuracy of health information and what kinds of health information have positive influences on cancer prevention behavior.

The Health Information technology special issue: innovation and emerging opportunities in time of crisis

A letter from the guest editor highlights the contributions of health information technology in improving health care delivery patient-centeredness through innovation in data analytics, connecting providers, and implementation of telehealth.

Rewarding and recognizing frontline staff for success in infection prevention

Management practices help support efforts to prevent healthcare-associated infections (HAIs). Providing rewards and recognition to frontline staff is one management practice found to be in use by hospitals that are higher-performers in HAI prevention. Using data from interviews with hospital managers and frontline staff at 18 US hospitals, our study identifies how managers can use reward and recognition programs as motivational tools to sustain frontline HAI prevention efforts.

The HEALing (Helping to End Addiction Long-term SM) Communities Study: Protocol for a cluster randomized trial at the community level to reduce opioid overdose deaths through implementation of an integrated set of evidence-based practices

BACKGROUND

Opioid overdose deaths remain high in the U.S. Despite having effective interventions to prevent overdose deaths, there are numerous barriers that impede their adoption. The primary aim of the HEALing Communities Study (HCS) is to determine the impact of an intervention consisting of community-engaged, data-driven selection, and implementation of an integrated set of evidence-based practices (EBPs) on reducing opioid overdose deaths.

METHODS

The HCS is a four year multi-site, parallel-group, cluster randomized wait-list controlled trial. Communities (n = 67) in Kentucky, Massachusetts, New York and Ohio are randomized to active intervention (Wave 1), which starts the intervention in Year 1 or the wait-list control (Wave 2), which starts the intervention in Year 3. The HCS will test a conceptually driven framework to assist communities in selecting and adopting EBPs with three components: 1) a community engagement strategy with local coalitions to guide and implement the intervention; 2) a compendium of EBPs coupled with technical assistance; and 3) a series of communication campaigns to increase awareness and demand for EBPs and reduce stigma. An implementation science framework guides the intervention and allows for examination of the multilevel contexts that promote or impede adoption and expansion of EBPs. The primary outcome, number of opioid overdose deaths, will be compared between Wave 1 and Wave 2 communities during Year 2 of the intervention for Wave 1. Numerous secondary outcomes will be examined.

DISCUSSION

The HCS is the largest community-based implementation study in the field of addiction with an ambitious goal of significantly reducing fatal opioid overdoses.

Model and approach for assessing implementation context and fidelity in the HEALing Communities Study

BACKGROUND

In response to the U.S. opioid epidemic, the HEALing (Helping to End Addiction Long-term^SM) Communities Study (HCS) is a multisite, wait-listed, community-level cluster-randomized trial that aims to test the novel Communities That HEAL (CTH) intervention, in 67 communities. CTH will expand an integrated set of evidence-based practices (EBPs) across health care, behavioral health, justice, and other community-based settings to reduce opioid overdose deaths. We present the rationale for and adaptation of the RE-AIM/PRISM framework and methodological approach used to capture the CTH implementation context and to evaluate implementation fidelity.

METHODS

HCS measures key domains of the internal and external CTH implementation context with repeated annual surveys and qualitative interviews with community coalition members and key stakeholders. Core constructs of fidelity include dosage, adherence, quality, and program differentiation-the adaptation of the CTH intervention to fit each community's needs. Fidelity measures include a monthly CTH checklist, collation of artifacts produced during CTH activities, coalition and workgroup attendance, and coalition meeting minutes. Training and technical assistance delivered by the research sites to the communities are tracked monthly.

DISCUSSION

To help attenuate the nation's opioid epidemic, the adoption of EBPs must be increased in communities. The HCS represents one of the largest and most complex implementation research experiments yet conducted. Our systematic examination of implementation context and fidelity will significantly advance understanding of how to best evaluate community-level implementation of EBPs and assess relations among implementation context, fidelity, and intervention impact.

Development and validation of an organizational readiness to change instrument focused on cultural competency

OBJECTIVE

To validate a brief survey developed to be used in hospitals nationwide to assess organizational readiness to change to increase cultural competency.

DATA SOURCES/STUDY SETTING

Analysis of primary data collected as part of a 125-item Organizational Assessment Survey conducted in the ten US hospitals participating in the Robert Wood Johnson Foundation Expecting Success program in 2005-2006.

STUDY DESIGN

The study utilized a cross-sectional survey.

DATA COLLECTION

Surveys were distributed to participants in the ten hospitals based on job title and role within the organization (including clinicians, clinical administrators, other clinical professionals, and those in relevant nonclinical roles; respondents = 513; response rate = 31%). Missing data were deleted listwise. We computed internal consistency reliability via Cronbach's alpha and interrater agreement using the r_wg(j) index, and conducted exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to examine validity of the survey. We subsequently conducted ANOVAs to examine whether the instrument adequately distinguished between hospitals.

PRINCIPAL FINDINGS

Across 408 complete responses, a scree plot generated by the EFA and a follow-up CFA indicated a 2-factor solution (RMSEA = 0.06; CFI = 0.96; GFI = 0.96; RMSR = 0.08). We identified these primary factors as two scales, a 12-item Readiness to Address Quality scale (α = 0.85; r_wg(j)  = 0.93) and an 11-item Readiness to Address Disparities scale (α = 0.65; r_wg(j)  = 0.89). ANOVAs suggested that these scales distinguished between hospitals (RTAQ: F[9, 428] = 3.70, P < .001; RTAD: F[9, 435] = 3.02, P = .002).

CONCLUSIONS

This survey can help identify an organization's readiness to change to increase cultural competency.

Hospital- and System-Wide Interventions for Health Care-Associated Infections: A Systematic Review

Hospitals face increasing pressure to reduce health care-associated infections (HAI) due to their costs and evidence of preventability. However, there is limited synthesis of evidence regarding interventions that can be successfully implemented hospital- or system-wide. Using Donabedian's structure-process-outcome model, we conducted a systematic literature review from 2008 to early 2019, identifying 96 studies with 214 outcomes examining the relationship between hospital- or system-wide interventions and HAIs. This literature's methodologic and reporting quality was generally poor. The most common HAIs studied were methicillin-resistant Staphylococcus aureus (22%) and Clostridium difficile (21%). 97 outcomes showed a desirable change, 72 showed no significant effect, 17 showed conflicting effects, and 3 found undesirable effects; 25 outcomes were from studies without a statistical analysis. Our findings highlight structural and process approaches meriting additional research and policy exploration, and identify recommendations for future investigation and reporting of hospital and system-wide HAI interventions to address gaps in existing literature.

Differences Between Races in Health Information Seeking and Trust Over Time: Evidence From a Cross-Sectional, Pooled Analyses of HINTS Data

PURPOSE

Assessed racial disparities in health information-seeking behavior and trust of information sources from 2007 to 2017.

DESIGN

Pooled cross-sectional survey data.

SETTING

Health Information National Trends Survey (HINTS).

PARTICIPATION

Data included 6 iterations of HINTS (pooled: N = 19 496; 2007: n = 3593; 2011: n = 3959; 2013: n = 3185; Food and Drug Administration [FDA] 2015: n = 3738; 2017: n = 3285; and FDA 2017: n = 1736).

MEASURES

Outcome variables were health information seeking, high confidence, and high trust of health information from several sources. Independent variable was race group, controlling for other sociodemographic and socioeconomic variables.

ANALYSIS

Weighted descriptive and multivariate logistic regression for the pooled sample assessed associations by race. Fully interacted models with race-survey year interactions compared differences in outcomes between years.

RESULTS

Black respondents, relative to white, had greater odds of having high confidence in their ability to attain health information, trust of health information from newspapers and magazines, radio, internet, television, government, charitable organizations, and religious organizations. Hispanic respondents, relative to white, had lower odds of seeking health information and trusting health information from doctors. They had higher odds of trusting health information from the radio, the internet, television, charitable organizations, and religious organizations.

CONCLUSION

Disparities between races in trust of information sources remained across time. Understanding optimal information media, their reach, and credibility among racial groups could enable more targeted approaches to developing interventions. Our analytical approach minimized limitations present in the HINTS.

Care Team Perspectives About an Inpatient Portal: Benefits and Challenges of Patients' Portal Use During Hospitalization

While current research about inpatient portals has focused largely on the patient perspective, it is also critical to consider the care team point of view, as support from these individuals is essential to successful portal implementation and use. We held brief in-person interviews with 433 care team members across a six-hospital health system to explore opinions about patients' use of an inpatient portal as perceived by care team members. Using the Inpatient Portal Evaluation Framework, we characterized benefits and challenges of portal use that care team members reported affected patients, themselves, and the collaborative work of these care teams with their patients. Interviewees noted inpatient portals can improve patient care and experience and also indicated room for improvement in portal use for hospitalized patients. Further understanding of the care team perspective is critical to inform approaches to inpatient portal implementation that best benefit both patients and providers.

Likelihood of Smoking Among Cancer Survivors: An Updated Health Information National Trends Survey Analysis

INTRODUCTION

Cancer survivors are at high risk for cancer reoccurrence, highlighting the importance of managing behavioral risk factors for cancer. Despite this risk, many cancer survivors continue to smoke cigarettes. This article describes the relationship between smoking behavior and demographic and clinical factors in cancer survivors.

METHODS

Multinomial logistic regression of cross-sectional data from the Health Information National Trends Survey was conducted using combined data from years 2003, 2005, 2007, 2011, 2012, 2013, and 2014. Independent variables included age, cancer history, race, education level, marital status, insurance status, and data year; the dependent variable was smoking status (current vs. former or never).

RESULTS

Cancer survivors were less likely to be current smokers but more likely to be former smokers than those with no history of cancer. Cancer survivors that currently smoked were more likely to have lower education levels, be divorced, separated, or single, or not have health insurance. Older cancer survivors, Hispanic, and non-Hispanic black survivors were less likely to smoke. Among cancer subgroups, prostate cancer survivors had the lowest rate (8.8%) of current smoking from 2011 to 2014, and cervical cancer survivors had the highest rate (31.1%).

CONCLUSIONS

Although those with no history of cancer had higher rates of current smoking, many subgroups of cancer survivors continued to smoke at higher rates than average cancer survivors. Cancer survivors that were younger, had lower education levels, were any marital status other than married or widowed, were uninsured, or survived cervical cancer were more likely to be smokers than other survivors.

IMPLICATIONS

It is important to understand which types of cancer survivors are at high risk of continued smoking to better inform tobacco dependence treatment interventions among those at high risk of cancer reoccurrence. Our findings suggest targeted tobacco dependence treatment efforts among cancer survivors should focus on survivors of cervical cancer and survivors that are young, unmarried, uninsured, or have lower education levels.

The effect of cancer treatment summaries on patient-centered communication and quality of care for cancer survivors: A pooled cross-sectional HINTS analysis

OBJECTIVE

Provision of cancer treatment summaries to patients is recommended to improve patient-centered communication (PCC). The objective of this study is to assess relationships between cancer treatment summary receipt, PCC, and quality of care (QOC).

METHODS

Linear and logistic regression of cross-sectional data from the Health Information National Trends Survey (HINTS) was conducted using data from years 2012, 2014, and 2017. The independent variable was receipt of treatment summary; the dependent variables were overall PCC score, six domains of PCC, and QOC.

RESULTS

In the pooled sample, 36.9% of patients with cancer treatment history reported receiving a treatment summary. There was a significant positive association between overall PCC score and treatment summary receipt, and higher odds of high scores for the PCC domains "responding to emotions" and "managing uncertainty." We did not observe significant associations between treatment summary receipt and other PCC domains or QOC.

CONCLUSION

Providing patients cancer treatment summaries may improve PCC, but fewer than half of patients reported receiving one of these summaries.

PRACTICE IMPLICATIONS

Providing cancer treatment summaries is important, however, providing them without engaging in additional communication may be insufficient to improve all patient-centered care domains or quality of care.

Helping Patients Be Better Patients: A Qualitative Study of Perceptions About Inpatient Portal Use

Introduction: As more hospitals introduce inpatient portals, it is increasingly important to understand their impact on patient experience and the care process. We conducted this study to learn from patients and care team members about their experience with an inpatient portal. Methods: We interviewed 120 patients and 433 care team members across a seven-hospital academic medical center that offers an inpatient portal to hospitalized patients. Interviewees were asked about their use of the inpatient portal and its impact on patient experience. Recorded interviews were transcribed and rigorously analyzed using both inductive and deductive methods. Results: We found that the inpatient portal was perceived to help patients be "better patients" by improving their ability to be informed about their health and by enabling them to be more involved in the care process. Care team members suggested portal use could be improved by addressing challenges with tablet administration, use of the patient education feature, and the functionality of the scheduling feature. Conclusions: Across interviewees, we found that inpatient portals were perceived to improve the hospital experience and increase empowerment for patients by offering information about care in a manner that allowed patients to join their care teams as active, participating members.

Designing Quality Improvement Collaboratives for Dissemination: Lessons from a Multiple Case Study of the Implementation of Obstetric Emergency Safety Bundles

BACKGROUND

Quality improvement collaboratives (QICs) can help to disseminate evidence-based practices, but there is limited guidance from the perspectives of QIC organizers and participants of best practices to support practice change. To address this gap, this study aimed to identify key structures and processes of QICs that support dissemination and implementation of quality improvement projects.

METHODS

Semistructured one-on-one and group interviews were conducted from December 2017 to May 2018 with project administrators (n = 28) at three QICs that had been funded to develop and disseminate obstetric emergency safety bundles in more than 300 hospitals across five states. For further study, the project leads (n = 25) at six hospitals nominated by each QIC were interviewed. A multiple case study design was used to evaluate the dissemination strategies of each of the three QICs. For the QIC interviews, questions asked about dissemination approach, and for the hospital interviews, questions asked about implementation facilitators and barriers. All interviews were transcribed, coded, and analyzed using both deductive and inductive methods.

RESULTS

A key element supporting the dissemination strategy of each QIC was leveraging existing partnerships and relationships and promoting a shared vision with participating hospitals. A robust data infrastructure to support the project was identified as a critical element to support dissemination, yet was a challenge for the QICs.

CONCLUSION

These findings highlight specific elements of a dissemination approach that QICs can deploy to support their dissemination efforts. In particular, building data infrastructure may be a useful strategy to support ongoing quality improvement projects.

Facilitating Organizational Change to Accommodate an Inpatient Portal

BACKGROUND

Patient portals are becoming more commonly used in the hospital inpatient setting. While the potential benefits of inpatient portals are acknowledged, there is a need for research that examines the challenges of portal implementation and the development of best practice approaches for successful implementation.

OBJECTIVE

We conducted this study to improve our understanding of the impact of the implementation of an inpatient portal on care team members in the context of a large academic medical center. Our study focused on the perspectives of nursing care team members about the inpatient portal.

METHODS

We interviewed care team members (n = 437) in four phases throughout the 2 years following implementation of an inpatient portal to learn about their ongoing perspectives regarding the inpatient portal and its impact on the organization.

RESULTS

The perspectives of care team members demonstrated a change in acceptance of the inpatient portal over time in terms of buy-in, positive workflow changes, and acknowledged benefits of the portal for both care team members and patients. There were also changes over time in perspectives of the care team in regards to (1) challenges with new technology, (2) impact of the portal on workflow, and (3) buy-in. Six strategies were identified as important for implementation success: (1) convene a stakeholder group, (2) offer continual portal training, (3) encourage shared responsibility, (4) identify champions, (5) provide provisioning feedback, and (6) support patient use.

CONCLUSION

Inpatient portals are recognized as an important tool for both patients and care team members, but the implementation of such a technology can create challenges. Given the perspectives care team members had about the impact of the inpatient portal, our findings suggest implementation requires attention to organizational changes that are needed to accommodate the tool and the development of strategies that can address challenges associated with the portal.