Health IT-enabled care for underserved rural populations: the role of nursing

Evaluation of activities of daily living using an electronic version of the Longshi Scale in patients with stroke: reliability, consistency, and preference

BACKGROUND

The Longshi Scale is a pictorial assessment tool for evaluating activities of daily living (ADL) in patients with stroke. The paper-based version presents challenges; thus, the WeChat version was created to enhance accessibility. Herein, we aimed to validate the inter-rater and test-retest reliabilities of the WeChat version of the Longshi Scale and explore its potential clinical applications.

METHODS

We recruited 115 patients with stroke in the study. The ADL results of each patient were assessed using both the WeChat and paper-based version of the Longshi Scale; each evaluation was conducted by 28 health professionals and 115 caregivers separately. To explore the test-retest reliability of the WeChat version, 22 patients were randomly selected and re-evaluated by health professionals using the WeChat version. All evaluation criteria were recorded, and all evaluators were surveyed to indicate their preference between the two versions.

RESULTS

Consistency between WeChat and the paper-based Longshi Scale was high for ADL scores by health professionals (ICC2,1 = 0.803-0.988) and caregivers (ICC2,1 = 0.845-0.983), as well as for degrees of disability (κw = 0.870 by professionals; κw = 0.800 by caregivers). Bland-Altman analysis showed no significant discrepancies. The WeChat version exhibited good test-retest reliability (κw = 0.880). The WeChat version showed similar inter-rater reliability in terms of the ADL score evaluated using the paper-based version (ICC2,1 = 0.781-0.941). The time to complete assessments did not differ significantly, although the WeChat version had a shorter information entry time (P < 0.001, 95% confidence interval: -43.463 to -15.488). Health professionals favored the WeChat version (53.6%), whereas caregivers had no significant preference.

CONCLUSIONS

The WeChat version of the Longshi Scale is reliable and serves as a suitable alternative for health professionals and caregivers to assess ADL levels in patients with stroke. The WeChat version of the Longshi Scale is considered user-friendly by health professionals, although it is not preferred by caregivers.

TRIAL REGISTRATION

This study was approved by the Ethics Committee of the Second People's Hospital of Shenzhen (approval number: 20210812003-FS01) and registered on the Clinical Trial Register Center website: clinicaltrials.gov on January 31, 2022 (registration no.: NCT05214638).

ICT in Nursing and Patient Healthcare Management: Scoping Review and Case Studies

Over the past few decades, Information and Communication Technologies (ICT) have revolutionized the fields of nursing and patient healthcare management. This scoping review and the accompanying case studies shed light on the extensive scope and impact of ICT in these critical healthcare domains. The scoping review explores the wide array of ICT tools employed in nursing care and patient healthcare management. These tools encompass electronic health records systems, mobile applications, telemedicine solutions, remote monitoring systems, and more. This article underscores how these technologies have enhanced the efficiency, accuracy, and accessibility of clinical information, contributing to improved patient care. ICT revolution has revitalized nursing care and patient management, improving the quality of care and patient satisfaction. This review and the accompanying case studies emphasize the ongoing potential of ICT in the healthcare sector and call for further research to maximize its benefits.

Identification of high-risk factors for prehospital delay for patients with stroke using the risk matrix methods

Background

Stroke has become a leading cause of mortality and adult disability in China. The key to treating acute ischemic stroke (AIS) is to open the obstructed blood vessels as soon as possible and save the ischemic penumbra. However, the thrombolytic rate in China is only 2.5%. Research has been devoted to investigating the causes of prehospital delay, but the exact controllable risk factors for prehospital delay remain uncertain, and a consensus is lacking. We aimed to develop a risk assessment tool to identify the most critical risk factors for prehospital delay for AIS patients.

Methods

From November 2018 to July 2019, 450 patients with AIS were recruited. Both qualitative and quantitative data were collected. The Delphi technique was used to obtain expert opinions about the importance of the risk indices in two rounds of Delphi consultation. Then, we used the risk matrix to identify high-risk factors for prehospital delay for AIS patients.

Results

The risk matrix identified the following five critical risk factors that account for prehospital delay after AIS: living in a rural area; no bystanders when stroke occurs; patients and their families lacking an understanding of the urgency of stroke treatment; patients and their families not knowing that stroke requires thrombolysis or that there is a thrombolysis time window; and the patient self-medicating, unaware of the seriousness of the symptoms, and waiting for spontaneous remission.

Conclusions

The risk analysis tool used during this study may help prevent prehospital delays for patients with AIS.

An evaluation of telehealth expansion in U.S. nursing homes

OBJECTIVE

This research brief contains results from a national survey about telehealth use reported in a random sample of U.S. nursing homes.

METHODS AND MATERIALS

The sample includes nursing homes (N = 664) that completed surveys about information technology maturity, including telehealth use, beginning January 1, 2019, and ending August 4, 2020. A pre/post design was employed to examine differences in nursing home telehealth use for nursing homes completing surveys prior to and after telehealth expansion, on March 6, 2020. We calculated a cumulative telehealth score using survey data from 6 questions about extent of nursing home telehealth use (score range 0-42). We calculated proportions of nursing homes using telehealth and used logistic regression to look for differences in nursing homes based on organizational characteristics and odds ratios.

RESULTS

Significant relationships were found between nursing home characteristics and telehealth use, and specifically, larger metropolitan homes reported greater telehealth use. Ownership had little effect on telehealth use. Nursing homes postexpansion used telehealth applications for resident evaluation 11.24 times more (P < .01) than did nursing homes pre-expansion.

DISCUSSION

Administrators completing our survey reported a wide range of telehealth use, including approximately 16% having no telehealth use and 5% having the maximum amount of telehealth use. Mean telehealth use scores reported by the majority of these nursing homes is on the lower end of the range.

CONCLUSIONS

One solution for the current pandemic is to encourage the proliferation of telehealth with continued relaxed regulations, which can reduce isolation and preserve limited resources (eg, personal protective equipment) while maintaining proper distancing parameters.

Leadership research in healthcare: A realist review

Being largely considered a human right, healthcare needs leaders who are able to make choices and to set directions. Following the recommendations expressed by Gilmartin and D'Aunno's review and roadmap compiled in 2008, today, it is important to acknowledge researchers' contributions to outline this landscape. The realist review of 77 publications answered questions such as “what works, for whom, and in which circumstances” highlighting: the effectiveness and acceptance of transformational and collaborative approaches; professionalism, expertise, and good task delegation within operational teams; distributed leadership, relationships, and social responsibility at a systemic level. The relevancy and need of leadership development programs, framed within a wider strategy, emerged. Nonetheless, gaps still exist and require further investigation: particular needs in public vs. private contexts; professionals' and women's differentiating characters; generational gaps; associations between leadership and recruitment HR practices research; how (and if) leaders (should) influence the organizational culture and values; and developing countries specific challenges. Also, a greater proportion of relevant findings should be drawn by empirical and more rigorous studies. Finally, a major attention could be paid to interactions happening at the team, organizational, and systemic level among different leaders and among leaders, followers and external actors.

Computer Intervention: Illness Self-Management/Quality of Life of Rural Women

The Women To Women project, a computer-based support and educational research intervention, was designed to help rural women better understand and manage their chronic illnesses. Its impact on psychosocial adaptation has been reported elsewhere. This article reports on the effect of a computer intervention on chronic illness self-management skills and quality of life. Using a parallel 2-group study design, the researchers randomized 309 middle-aged rural women with chronic conditions to either a computer-based intervention or a control group. They collected data on self-management of chronic illness and quality of life indicators at baseline and at the end of the intervention. Women in the intervention group reported significantly more self-efficacy in managing their chronic disease than those in the control group and the observed effect was of moderate size. Women in the intervention group also reported statistically significant gains in quality of life; effect sizes were small but consistent. Select chronic illness self-management skills and quality of life can be positively influenced by a well-designed computer intervention.

Study protocol: mobile improvement of self-management ability through rural technology (mI SMART)

Background

There are 62 million Americans currently residing in rural areas who are more likely to have multiple chronic conditions and be economically disadvantaged, and in poor health, receive less recommended preventive services and attend fewer visits to health care providers. Recent advances in mobile healthcare (mHealth) offer a promising new approach to solving health disparities and improving chronic illness care. It is now possible and affordable to transmit health information, including values from glucometers, automated blood pressure monitors, and scales, through Bluetooth-enabled devices. Additionally, audio and video communications technologies can allow healthcare providers to conduct many parts of a physical exam remotely from varied settings. These technologies could remove geographical distance as a barrier to care and diminish the access to care issues faced by patients who live rurally. However, currently there is lack of studies that provide evidence of feasibility, acceptability, and effectiveness of mHealth initiatives on improved outcomes of care, a needed step to make the translation to implementation studies in healthcare systems. The purpose of this paper is to present the protocol for the first study of mI SMART (mobile Improvement of Self-Management Ability through Rural Technology), a new integrated mHealth intervention.

Methods

Our objective is to provide evidence of feasibility and acceptability for the use of mI SMART in an underserved population and establish evidence for the refinement of mI SMART. The proposed study will take place at Milan Puskar Health Right, a free primary care clinic in the state of West Virginia. The clinic provides health care at no cost to uninsured, low income; adults aged 18–64 living in West Virginia. We will enroll 30 participants into this feasibility study with plans of implementing a longitudinal randomized, comparative effectiveness design in the future. Data collection will include tracking of barriers and facilitators to using mI SMART on patient and provider feedback surveys, tracking of patient-provider communications, self-reports from patients on quality of life, adherence, and self-management ability, and capture of health record data on chronic illness measures.

Discussion

We expect that the mI SMART intervention, refined from participant and provider feedback, will be acceptable and feasible. We anticipate high patient-provider satisfaction, enhanced patient-provider communication, and improved health related quality of life, adherence to treatment, and self-management ability. In addition, we hypothesize that patients who use mI SMART will demonstrate improved physical outcomes such as blood glucose, blood pressure, and weight.

The status quo of situation-specific theories

The purpose of this article is to explore the status quo of situation-specific theories through an integrated literature review on situation-specific theories that have been published since 1999. The literature was searched through multiple databases including PubMed, CINAHL, and PsycINFO and analyzed in terms of purpose of theorizing, types of theorizing, sources of theorizing, and linkages to research or practice. Four themes reflecting the current status of situation-specific theories were extracted: (a) explicitly claimed and not explicitly claimed situation-specific theories; (b) multiple philosophical bases; (c) unique theorizing process; and (d) providing clear directions for nursing interventions but rarely evaluated. Nurses need to continuously make their efforts to develop theoretical bases that could closely link theory, research, and practice in nursing and that could adequately serve new nursing needs and challenges.

Physical activity behavior, barriers to activity, and opinions about a smartphone-based physical activity intervention among rural residents

BACKGROUND

Rural Americans engage in less physical activity (PA) and experience higher rates of consequent health problems (i.e., obesity, cardiovascular disease) than urban Americans. Although geographic barriers have historically made this population hard to reach, rural individuals are increasingly gaining access to smartphones. Thus, the purpose of this study was to evaluate PA behavior and barriers to PA among rural residents and to gauge their receptiveness to a smartphone-based PA intervention that is currently in the development stage.

MATERIALS AND METHODS

Rural Floridian adults (n=113), 18 years of age and older, completed surveys to assess PA behavior, PA barriers, and opinions about an intervention to increase PA. Specifically, they were asked to imagine a program that would require them to do PA with their mobile phones and whether they viewed intended aspects of the program as helpful. The present work is therefore formative research that sought to determine the feasibility and acceptability of a smartphone-based intervention among rural residents. RESULTS of the survey will inform the development of a tailored, smartphone-based PA intervention.

RESULTS

The 37.2% of participants with low PA levels (<600 metabolic equivalent [MET]-min per week) were more likely to report personal and environmental barriers to PA than the 47.8% of participants with moderate PA levels (≥600 MET-min per week). More barriers were reported among participants who self-reported as white and among participants of older age, lower education level, and lower socioeconomic status. Additionally, 75.9% of participants reported features of the intervention as at least somewhat helpful.

CONCLUSIONS

The growing ubiquity of smartphones among rural residents, combined with participants' positive response to the program description, supports the acceptability of a smartphone-based PA intervention for rural communities. Given the participants' receptiveness, future research should evaluate the efficacy of smartphone-delivered health behavior interventions among this population.

Sources of health information among rural women in Western Kentucky

OBJECTIVE

To identify sources of general and mental health information for rural women to inform the development of public health nursing interventions that consider preferences for obtaining information.

DESIGN AND SAMPLE

One thousand women (mean age = 57 years; 96.9% White) living in primarily nonmetropolitan areas of Western Kentucky participated via a random-digit-dial survey.

MEASURES

Data were collected on demographics, sources of health information, depression, and stigma.

RESULTS

Most participants preferred anonymous versus interpersonal sources for both general (68.1%) and mental health (69.4%) information. All participants reported at least one source of general health information, but 20.8% indicated not seeking or not knowing where to seek mental health information. The Internet was the most preferred anonymous source. Few women cited health professionals as the primary information source for general (11.4%) or mental (9.9%) health. Public stigma was associated with preferring anonymous sources and not seeking information.

CONCLUSIONS

Public health nurses should understand the high utilization of anonymous sources, particularly for mental health information, and focus efforts on helping individuals to navigate resources to ensure they obtain accurate information about symptoms, effective treatments, and obtaining care. Reducing stigma should remain a central focus of prevention and education in rural areas.

Using mHealth Tools to Improve Rural Diabetes Care Guided by the Chronic Care Model

BACKGROUND AND OBJECTIVE

Used as an integrated tool, mHealth may improve the ability of healthcare providers in rural areas to provide care, improve access to care for underserved populations, and improve biophysical outcomes of care for persons with diabetes in rural, underserved populations. Our objective in this paper is to present an integrated review of the impact of mHealth interventions for community dwelling individuals with type two diabetes.

MATERIALS AND METHODS

A literature search was performed using keywords in PubMed to identify research studies which mHealth technology was used as the intervention.

RESULTS AND DISCUSSION

Interventions using mHealth have been found to improve outcomes, be cost effective, and culturally relevant. mHealth technology that has been used to improve outcomes include: seeking out health information via the web, access to appointment scheduling and medication refills, secure messaging, computerized interventions to manage a chronic condition, use of a personal health record, use of remote monitoring devices, and seeking support from others with similar health concerns through social networks.

CONCLUSION

Using the validated Chronic Care Model to translate what is known about mHealth technology to clinical practice has the potential to improve the ability of healthcare providers in rural areas to provide care, improve access to care for underserved populations, and improve biophysical outcomes of care for persons with diabetes in rural underserved populations. While these approaches were effective in improving some outcomes, they have not resulted in the establishment of the necessary electronic infrastructure for a sustainable mobile healthcare delivery model.

The intersection of gender and place in online health activities

This study examines how rurality and gender are related to online health activities. Rural women face greater health risks and yet have access to a weaker health system infrastructure, which has resulted in a health disadvantage. New health information technologies may ameliorate some of these disparities; thus, the authors examine the relevance of gender and place in going online to search for health information, buy medicines, participate in health-related support groups, communicate with physicians, or maintain a personal health record. Analyzing data from the National Cancer Institute's 2007 Health Information National Trends Survey, the authors found that the relations between rurality and gender vary, depending on the specific type of online health activity, and that gender may be a more salient factor than rurality in determining whether individuals engage in particular types of online health activities. This study contributes to the literature by examining how gender and place are related to online health activities, a combined area neglected in past research, and advancing research on gender and technology. This research highlights the importance of expanding high-speed access in rural locations, increasing technological and health literacy, and tailoring the Internet to specific populations.

Online communities of practice to support collaborative mental health practice in rural areas

The provision of quality mental health services in rural areas continues to be an ongoing challenge for nurses and the patients they serve. The use of computer mediated communication to construct collaborative learning environments similar to those suggested in Wenger's community of practice framework has the potential to mitigate a number of the difficulties faced by rural health care providers. The author presents a brief discussion of social learning theories, the communities of practice framework, and related concepts. Examples of current online communities of practice used as a means for knowledge construction in various professional disciplines are presented in building the case for the fit between online communities of practice and the needs of nurses in rural mental health. Nurses providing mental health care in rural areas have documented needs for interdisciplinary teamwork, access to a collaborative learning environment, and ongoing contact with expert resources. The construction of online communities of practice could potentially address a multitude of concerns identified by nurses practicing mental health care in rural areas.