Online resources for family caregivers of cognitively competent patients: A review of user-driven reputable health website content on caregiver communication with health professionals

ObjectiveMost patients want their family involved in consultations and decisions, however some family caregivers report feeling overwhelmed and unsure of their role. As caregivers are increasingly looking to medical websites for guidance, this study aimed to review reputable web-resources available to inform family caregivers on how to be involved in medical consultations and decisions.MethodsGoogle searches were performed using lay search strings, to imitate how a cancer caregiver may locate information. Relevant webpages were included if they were directed at caregivers and from a reputable health organisation. Qualitative content analyses were performed on the included webpages.Results22 webpages were included and 8 were directed at caregivers of cancer patients. Six key categories of information were identified: preparing for consultations, helping during consultations, advocating for the patient, decision-making, communicating in hospital settings, and communicating with family and friends.ConclusionA range of online resources were found to guide family caregivers, particularly cancer caregivers, on involvement in consultations. However, few provided information to caregivers on complex situations such as treatment decision-making, advocating for patient’s needs, and communicating in a hospital setting.Practice implicationsClinicians can actively refer family caregivers to online resources that support caregiver communication in medical settings.     

Operationalizing a simulation program: Practical information for leadership

Failure to ensure organizational readiness for curricular integration of simulation can result in a costly and ineffective simulation program. Organizational leaders who are aware of the principles of changemaker leadership and specific operational considerations are best positioned to ensure a quality simulation program. To assist these leaders, this article provides practical information derived from dissection of the Standard of Best Practice: Simulation^SM: Operations, including topics of strategic planning, financial resources, expert personnel, resource management systems, policies and procedures, and systems integration. Additionally, an introduction to a foundational tool to spearhead change is offered, and characteristics of the changemaker leader needed to develop and sustain an effective and efficient simulation program are highlighted. Understanding the criteria necessary for effective simulation operations and early recognition of the conditions and variables that can influence organizational culture is of utmost importance to ensure programmatic success.     

Associations of nurse education level and nurse staffing with patient experiences of hospital care: A cross sectional study in China

Strengthening the nursing workforce is core to health system reform in China. Patient experiences of hospital care have been recognized as important in this endeavor. Studies exploring the relationships between nursing workforce and patient experiences of hospital care, however, are scarce. The aim of this cross-sectional study was to examine the associations between nurse education level, nurse staffing, and hospitalized patients’ experiences of hospital care. Participants were 1,582 nurses responsible for direct care and 1,305 hospitalized patients from 23 hospitals in Guangdong province, China in 2014. Education level of nurses was measured by the proportion of nurses holding a baccalaureate or higher degree. Nurse staffing was measured by the unit nurse-patient ratio. The Hospital Consumer Assessment of Health care Providers and Systems Scale was used to measure patient experiences of hospital care. Structural equation modeling demonstrated that a higher proportion of nurses holding a baccalaureate or higher degree was related directly to better patient perceptions of communication with nurses, responsiveness of nurses, pain management, and physical environment, and related indirectly to overall hospital ratings and recommendation of the hospital. A higher nurse-patient staffing ratio was associated directly with better patient perceptions of communication with nurses, education about new medications given in hospital, and physical environment, and indirectly with overall ratings and recommendation of the hospital. Our findings add new evidence in the Chinese societal context about the relationship between the nursing workforce and patient experiences of hospital care. Upgrading nurse education level and increasing nurse staffing could potentially improve patient experiences of hospital care.     

How Can Research Keep Up With eHealth? Ten Strategies for Increasing the Timeliness and Usefulness of eHealth Research

Background

eHealth interventions appear and change so quickly that they challenge the way we conduct research. By the time a randomized trial of a new intervention is published, technological improvements and clinical discoveries may make the intervention dated and unappealing. This and the spate of health-related apps and websites may lead consumers, patients, and caregivers to use interventions that lack evidence of efficacy.

Objective

This paper aims to offer strategies for increasing the speed and usefulness of eHealth research.

Methods

The paper describes two types of strategies based on the authors’ own research and the research literature: those that improve the efficiency of eHealth research, and those that improve its quality.

Results

Efficiency strategies include: (1) think small: conduct small studies that can target discrete but significant questions and thereby speed knowledge acquisition; (2) use efficient designs: use such methods as fractional-factorial and quasi-experimental designs and surrogate endpoints, and experimentally modify and evaluate interventions and delivery systems already in use; (3) study universals: focus on timeless behavioral, psychological, and cognitive principles and systems; (4) anticipate the next big thing: listen to voices outside normal practice and connect different perspectives for new insights; (5) improve information delivery systems: researchers should apply their communications expertise to enhance inter-researcher communication, which could synergistically accelerate progress and capitalize upon the availability of “big data”; and (6) develop models, including mediators and moderators: valid models are remarkably generative, and tests of moderation and mediation should elucidate boundary conditions of effects and treatment mechanisms. Quality strategies include: (1) continuous quality improvement: researchers need to borrow engineering practices such as the continuous enhancement of interventions to incorporate clinical and technological progress; (2) help consumers identify quality: consumers, clinicians, and others all need to easily identify quality, suggesting the need to efficiently and publicly index intervention quality; (3) reduce the costs of care: concern with health care costs can drive intervention adoption and use and lead to novel intervention effects (eg, reduced falls in the elderly); and (4) deeply understand users: a rigorous evaluation of the consumer’s needs is a key starting point for intervention development.

Conclusions

The challenges of distinguishing and distributing scientifically validated interventions are formidable. The strategies described are meant to spur discussion and further thinking, which are important, given the potential of eHealth interventions to help patients and families.     

Social Media and Rating Sites as Tools to Understanding Quality of Care: A Scoping Review

Background

Insight into the quality of health care is important for any stakeholder including patients, professionals, and governments. In light of a patient-centered approach, it is essential to assess the quality of health care from a patient’s perspective, which is commonly done with surveys or focus groups. Unfortunately, these “traditional” methods have significant limitations that include social desirability bias, a time lag between experience and measurement, and difficulty reaching large groups of people. Information on social media could be of value to overcoming these limitations, since these new media are easy to use and are used by the majority of the population. Furthermore, an increasing number of people share health care experiences online or rate the quality of their health care provider on physician rating sites. The question is whether this information is relevant to determining or predicting the quality of health care.

Objective

The goal of our research was to systematically analyze the relation between information shared on social media and quality of care.

Methods

We performed a scoping review with the following goals: (1) to map the literature on the association between social media and quality of care, (2) to identify different mechanisms of this relationship, and (3) to determine a more detailed agenda for this relatively new research area. A recognized scoping review methodology was used. We developed a search strategy based on four themes: social media, patient experience, quality, and health care. Four online scientific databases were searched, articles were screened, and data extracted. Results related to the research question were described and categorized according to type of social media. Furthermore, national and international stakeholders were consulted throughout the study, to discuss and interpret results.

Results

Twenty-nine articles were included, of which 21 were concerned with health care rating sites. Several studies indicate a relationship between information on social media and quality of health care. However, some drawbacks exist, especially regarding the use of rating sites. For example, since rating is anonymous, rating values are not risk adjusted and therefore vulnerable to fraud. Also, ratings are often based on only a few reviews and are predominantly positive. Furthermore, people providing feedback on health care via social media are presumably not always representative for the patient population.

Conclusions

Social media and particularly rating sites are an interesting new source of information about quality of care from the patient’s perspective. This new source should be used to complement traditional methods, since measuring quality of care via social media has other, but not less serious, limitations. Future research should explore whether social media are suitable in practice for patients, health insurers, and governments to help them judge the quality performance of professionals and organizations.