Indicators of organizational readiness for clinical information technology/systems innovation: a Delphi study

Selection of criteria for a telemedicine framework for designing, implementing, monitoring and evaluating telemedicine interventions: Validation using a modified Delphi process

Objectives

The call to scale up telemedicine services globally as part of the digital health transformation lacks an agreed-upon set of constructs to guide the implementation process. A lack of guidance hinders the development, consolidation, sustainability and optimisation of telemedicine services. The study aims to reach consensus among telemedicine experts on a set of implementation constructs to be developed into an evidence-based support tool.

Methods

A modified Delphi study was conducted to evaluate a set of evidence-informed telemedicine implementation constructs comprising cores, domains and items. The study evaluated the constructs consisting of five cores: Assessment of the Current Situation, Development of a Telemedicine Strategy, Development of Organisational Changes, Development of a Telemedicine Service, and Monitoring, Evaluation and Optimisation of Telemedicine Implementation; seven domains: Individual Readiness, Organisational Readiness, Clinical, Economic, Technological and Infrastructure, Regulation, and Monitoring, Evaluation and Optimisation; divided into 53 items. Global telemedicine specialists (n = 247) were invited to participate and evaluate 58 questions. Consensus was set at ≥70%.

Results

Forty-five experts completed the survey. Consensus was reached on 78% of the constructs evaluated. Regarding the core constructs, Monitoring, Evaluation and Optimisation of Telemedicine Implementation was determined to be the most important one, and Development of a Telemedicine Strategy the least. As for the domains, the Clinical one had the highest level of consensus, and the Economic one had the lowest.

Conclusions

This research advances the field of telemedicine, providing expert consensus on a set of implementation constructs. The findings also highlight considerable divergence in expert opinion on the constructs of reimbursement and incentive mechanisms, resistance to change, and telemedicine champions. The lack of agreement on these constructs warrants attention and may partly explain the barriers that telemedicine services continue to face in the implementation process.

Readiness of managers and health care workers for e-Health: a cross-sectional study in Khartoum primary health care centers, Sudan

BACKGROUND

e-Health is defined as "the use, in the health sector, of digital data- transmitted, stored and retrieved electronically-for clinical, educational and administrative purposes, both at the local site and at a distance". In Primary health care (PHC), the role of e-Health in promoting PHC systems defines its need to achieve the PHC aims. This literary work aims to study the readiness of managers and healthcare workers for e-Health at Khartoum state PHC centers.

METHODS

This was a facility-based cross-sectional study that took place between February and August 2022. A sample size of 327 was calculated, and multistage cluster sampling was used. A validated questionnaire was used, and the generated data were analyzed using the Statistical Package for Social Sciences (SPSS). Variables were described as n (%) and mean ± SD. Non-parametric tests and Spearman's correlation were used to investigate the association of readiness scores with different categorical and numerical variables, respectively. A standard multiple regression model was used to model the associations.

RESULTS

A total of 262 forms were completed. The overall readiness percentages were low for both managers (52.8%) and healthcare workers (55.3%). Factors associated with e-Health readiness included occupation, doctors' level of expertise, PHC center, and PHC center type.

CONCLUSIONS

This study reports low levels of e-Health readiness as reflected by managers and HCWs in Khartoum State PHC. Project planners need to be aware of the obstacles and threats faced by e-Health initiatives if they are not carefully planned, executed, and monitored. Special attention must be given to addressing health inequities and inequalities to ensure that these projects will contribute to fostering accessibility to health services and narrowing the digital divide.

Health professional's readiness and factors associated with telemedicine implementation and use in selected health facilities in Ghana

Background

Telemedicine, which is the practice of medicine using technology to deliver health care remotely, has a low adoption rate in low- and middle-income countries (LMICs). However, the advent of coronavirus disease 2019 (COVID-19) has forced healthcare systems in these settings to begin implementing telemedicine programs. It is unknown how prepared health professionals and the healthcare system are to adopt this technology. Therefore, this study aimed to assess the readiness of health professionals and explore factors associated with telemedicine implementation in Ghana.

Methods

A cross-sectional study was conducted in six health facilities between March and August 2021. Convenience sampling was used to select the six health facilities, and the participants were selected randomly for the study. Questionnaires were self-completed by participants. Data was exported into STATA 15.0 for analysis, and appropriate statistical methods were employed. All statistical tests were performed at a significance level of p < 0.05.

Results

Of the 613 health professionals involved in the study, about 579 (94.5%) were comfortable using computers, and the majority, 503 (82.1%) of them, had access to computers at the workplace. Health professionals agreed that the measures outlined by the health facilities supported their readiness to use telemedicine for healthcare services. Analysis revealed a statistically significant positive relationship between health facilities' core readiness and health professionals' readiness, with a correlation coefficient (r) of 0.5484 and a p-value<0.0001. Of the factors associated with health professionals' readiness towards telemedicine implementation, facility core readiness, engagement readiness, staff knowledge and attitude readiness showed a statistically significant relationship with health professionals' readiness.

Conclusion

The study revealed that health professionals are ready to adopt telemedicine. There was a statistically significant relationship between health facilities' core readiness, engagement readiness, staff knowledge and attitude readiness, and health professionals' readiness. The study identified factors facilitating telemedicine adoption.

Health professionals’ readiness and its associated factors to implement Telemedicine system at private hospitals in Amhara region, Ethiopia 2021

Introduction

In resource-limited settings incorporating the Telemedicine system into the healthcare system enhances exchanging valid health information for practicing evidence-based medicine for the diagnosis, treatment, and prevention of diseases. Despite its great importance, the adoption of telemedicine in low-income country settings, like Ethiopia, was lagging and increasingly failed. Assessing the readiness of health professionals before the actual adoption of telemedicine is considered the prominent solution to tackle the problem. However, little is known about Health professionals’ telemedicine readiness in this study setting.

Objective

Accordingly, this study aimed to assess health professionals’ readiness and its associated factors to implement a Telemedicine system at private hospitals in North West, Ethiopia.

Materials and methods

An institution-based cross-sectional study was conducted from March 3 to April 7, 2021. A total of 423 health professionals working in private hospitals were selected using a simple random sampling technique. Multi-variable logistic regression was fitted to identify determinant factors of health professional readiness after the other covariates were controlled.

Result

In this study the overall readiness of telemedicine adoption was 65.4% (n = 268) [95% CI:60.1–69.8]. Knowledge (AOR = 2.5;95% CI: [1.4, 4.6]), Attitude (AOR = 3.2;95% CI: [1.6, 6.2]), computer literacy (AOR = 2.2; 95% CI: [1.3, 3.9]), computer training (AOR = 2.1;95% CI: [1.1, 4.1]), Computer skill (AOR = 1.9;95% CI: [1.1, 3.4]), computer access at office (AOR = 2.1;95% CI: [1.1, 3.7]), Internet access at office (AOR = 2.8; 95% CI: [1.6, 5.1]), Own personal computer (AOR = 3.0; 95% CI: [1.5, 5.9]) and work experience (AOR = 3.1; 95% CI: [1.4, 6.7]) were significantly associated with the overall health professionals readiness for the adoption of telemedicine using a cut point of p-value lessthan 0.05.

Conclusion and recommendation

Around two-thirds of the respondents had a good level of overall readiness for the adoption of telemedicine. The finding implied that less effort is required to improve readiness before the implementation of telemedicine. This findings implied that respondents who had good knowledge and a favorable attitude toward telemedicine were more ready for such technology. Capacity building is needed Enhance computer literacy, and computer skills building their confidence to rise ready for such technology. Building their capacity through training, building good internet connection, and availability of computers, where the necessary measures to improve Telemedicine readiness in this setting. Additionally, further studies are recommended to encompass all types of telemedicine readiness such as organizational readiness, technology readiness, societal readiness, and so on. Additionally, exploring the healthcare provider opinion with qualitative study and extending the proposed study to other implementation settings are recommended to be addressed in future works. The study has a positive impact on the successful implementation and use of telemedicine throughout hospitals at countries level by providing pertinent information about health professionals’ preparedness status. Therefore, implementing telemedicine will have a significant contribution to the health system performance improvement in terms of providing quality care, accessibility to health facilities, reduction of costs, and creating a platform for communication between health professionals across different health institutions for providing quality patient care.

Factors contributing to innovation readiness in health care organizations: a scoping review

Background

Increasing innovation readiness of healthcare organizations is necessary to meet upcoming challenges, including population aging, staff shortages and reduced funding. Health care organizations differ in the extent to which they are innovation ready. This review aims to clarify the concept of innovation readiness and identify which factors contribute to innovation readiness in health care organizations.

Methods

A scoping review was conducted based on the framework from Arksey and O’Malley. PubMed/MEDLINE, CINAHL and Web of Science were searched for studies that (a) aimed to contribute to scientific knowledge about innovation readiness of health care organizations, (b) were peer-reviewed, (c) reported empirical data and (d) were written in English, Dutch or German. Factors researched in the included studies were bundled into 4 overarching main factors and 10 sub-factors.

Results

Of the 6,208 studies identified, 44 were included. The majority (n = 36) of the studies had been conducted since 2011 and almost half of the studies (n = 19) were performed in hospitals. Of the 44 studies, 21 researched factors contributing to innovation readiness in the implementation stage of the innovation process. The authors used a variety of words and descriptions addressing innovation readiness, with hardly any theoretical frameworks for innovation readiness presented. Four main factors and 10 sub-factors contributing to the innovation readiness of health care organizations were summarized: strategic course for innovation, climate for innovation, leadership for innovation and commitment to innovation. Climate for innovation (n = 16) was studied the most and individual commitment to innovation (n = 6) was the least studied.

Conclusion

Our study identified four main factors contributing to the innovation readiness of health care organizations. Research into innovation readiness of health care organizations is a rather new field. Future research could be directed towards defining the concept of innovation readiness and the development of a framework for innovation readiness. More understanding of the interplay of factors contributing to innovation readiness in all stages of the innovation process and in diverse health care settings can support health care managers to structurally embed innovation. This review contributes to the first stage of theory building on factors contributing to innovation readiness of health care organizations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08185-x.

Assessing organizational health-analytics readiness: artifacts based on elaborated action design method

Purpose

While the adoption of health-analytics (HA) is expanding, not every healthcare organization understands the factors impacting its readiness for HA. An assessment of HA-readiness helps guide organizational strategy and the realization of business value. Past research on HA has not included a comprehensive set of readiness-factors and assessment methods. This study’s objective is to design artifacts to assess the HA-readiness of hospitals.

Design/methodology/approach

The information-systems (IS) theory and methodology entail the iterative Elaborated Action Design Research (EADR)method, combined with cross-sectional field studies involving 14 healthcare organizations and 27 participants. The researchers determine factors and leverage multi-criteria decision-making techniques to assess HA-readiness.

Findings

The artifacts emerging from this research include: (1) a map of readiness factors, (2) multi-criteria decision-making techniques that assess the readiness levels on the factors, the varying levels of factor-importance and the inter-factor relationships and (3) an instantiated system. The in-situ evaluation shows how these artifacts can provide insights and strategic direction to an organization through collective knowledge from stakeholders.

Originality/value

This study finds new factors influencing HA-readiness, validates the well-known and details their industry-specific nuances. The methods used in this research yield a well-rounded HA readiness-assessment (HARA) approach and offer practical insights to hospitals.

Organizational e-Health Readiness: How to Prepare the Primary Healthcare Providers’ Services for Digital Transformation

The COVID-19 pandemic has had two main consequences for the organization of treatment in primary healthcare: restricted patients’ access to medical facilities and limited social mobility. In turn, these consequences pose a great challenge for patients and healthcare providers, i.e., the limited personal contact with medical professionals. This can be eased by new digital technology. While providing solutions to many problems, this technology poses several organizational challenges for healthcare system participants. As the current global situation and the outbreak of the humanitarian crisis in Europe show, these and other likely emergencies amplify the need to learn the lessons and prepare organizations for exceptional rapid changes. Therefore, a question arises of whether organizations are ready to use modern e-health solutions in the context of a rapidly and radically changing situation, and how this readiness can be verified. The aim of this article is to clarify the organizational e-heath readiness concept of Polish primary healthcare units. This study employs the triangulation of analytical methods, as it uses: (i) a literature review of e-health readiness assessment, (ii) primary data obtained with a survey (random sampling of 371 managers of PHC facilities across Poland) and (iii) the Partial Least Squares Structural Equation Modeling (PLS-SEM) method, employed to estimate the structural model. The evaluation of the model revealed that its concept was adequate for more mature entities that focus on the patient- and employee-oriented purpose of digitization, and on assuring excellent experience derived from a consistent care process. In the context of patients’ restricted access to medical facilities and limited social mobility, a simpler version of the research model assesses the readiness more adequately. Finally, the study increases the knowledge base of assets (resources and capabilities), which will help healthcare systems better understand the challenges surrounding the adoption and scaling of e-health technologies.

Measuring the Success of a Project ECHO Implementation: Results from an International e-Delphi Study

There is an increasing global need for organisations to utilise high-quality telementoring models to support workforce development and mentorship. Project ECHO is a validated telementoring model that has been adopted by over 700 organisations globally across multiple sectors. To date there is no consolidated list of success indicators by which organisational teams can assess or benchmark their implementation of Project ECHO across sectors. An e-Delphi methodology was adopted to facilitate a comprehensive means of identifying indicators that could be used to assess the implementations of Project ECHO globally. This paper presents a consolidated framework of indicators that support teams to assess their implementation of Project ECHO. These indicators have been derived by an international panel of experts across the healthcare, education, and university sectors. The final framework identified 54 distinct indicators across four domains: (1) spoke participant engagement, (2) ECHO Hub/teleECHO Network design and operation, (3) ECHO Hub team engagement and (4) Local Impact. This paper highlights that Project ECHO implementation indicators can vary between being dynamic, static, and iterative, depending on the phase of implementation. These findings are significant because they are generalisable to any organisation/sector implementing Project ECHO or similar telementoring models.

Supplementary Information

The online version contains supplementary material available at 10.1007/s43477-022-00050-7.

Organizational E-Readiness for the Digital Transformation of Primary Healthcare Providers during the COVID-19 Pandemic in Poland

The COVID-19 pandemic has forced many countries to implement a variety of restrictive measures to prevent it from spreading more widely, including the introduction of medical teleconsultations and the use of various tools in the field of inpatient telemedicine care. Digital technologies provide a wide range of treatment options for patients, and at the same time pose a number of organizational challenges for medical entities. Therefore, the question arises of whether organizations are ready to use modern telemedicine tools during the COVID-19 pandemic. The aim of this article is to examine two factors that impact the level of organizational e-readiness for digital transformation in Polish primary healthcare providers (PHC). The first factor comprises operational capabilities, which are the sum of valuable, scarce, unique, and irreplaceable resources and the ability to use them. The second factor comprises technological capabilities, which determine the adoption and usage of innovative technologies. Contrary to the commonly analyzed impacts of technology on operational capabilities, we state the reverse hypothesis. The verification confirms the significant influence of operational capabilities on technological capabilities. The research is conducted using a questionnaire covering organizational e-readiness for digital transformation prepared by the authors. Out of the 32 items examined, four are related to the operational capabilities and four to the technological capabilities. The result of our evaluation shows that: (i) a basic set of four variables can effectively measure the dimensions of OC, namely the degree of agility, level of process integration, quality of resources, and quality of cooperation; (ii) a basic set of three variables can effectively measure the dimensions of TC, namely adoption and usage of technologies, customer interaction, and process automation; (iii) the empirical results show that OC is on a higher level than TC in Polish PHCs; (iv) the assessment of the relationship between OC and TC reveals a significant influence of operational capabilities on technological capabilities with a structural coefficient of 0.697. We recommend increasing the level of technological capability in PHC providers in order to improve the contact between patients and general practitioners (GPs) via telemedicine in lockdown conditions.

Issues and Implications of Readiness to Change

In light of readiness to change, organizational readiness has received little attention with the extensive assessment of individual readiness to change. (1) Background: Therefore, this conceptual paper aims to address the need for change at the organizational level through the lenses of Lewin theory, organizational change theory, and social exchange theory. It will identify issues and implications in readiness to change at the organizational level; (2) Methods: The primary method used in the study was mainly a literature review to add neglected factors driving change such as contextual factors and technology. (3) Results: The paper shows how various players and other determinants of successful change implementation can derail the organization’s readiness to embrace change. (4) Conclusions: The paper adds to the available knowledge on how technology is likely to affect organizational willingness to change. The study suggests various solutions that seek to address the issues on organizational readiness to change. Hence, this study may provide organizational managers with takeaway implications on change management for policymakers and practitioners to improve an organization’s preparedness towards change implementation.

The perspective of IT decision makers on factors influencing adoption and implementation of AI-technologies in 40 German Hospitals: Descriptive Analysis (Preprint)

Background

New artificial intelligence (AI) tools are being developed at a high speed. However, strategies and practical experiences surrounding the adoption and implementation of AI in health care are lacking. This is likely because of the high implementation complexity of AI, legacy IT infrastructure, and unclear business cases, thus complicating AI adoption. Research has recently started to identify the factors influencing AI readiness of organizations.

Objective

This study aimed to investigate the factors influencing AI readiness as well as possible barriers to AI adoption and implementation in German hospitals. We also assessed the status quo regarding the dissemination of AI tools in hospitals. We focused on IT decision makers, a seldom studied but highly relevant group.

Methods

We created a web-based survey based on recent AI readiness and implementation literature. Participants were identified through a publicly accessible database and contacted via email or invitational leaflets sent by mail, in some cases accompanied by a telephonic prenotification. The survey responses were analyzed using descriptive statistics.

Results

We contacted 609 possible participants, and our database recorded 40 completed surveys. Most participants agreed or rather agreed with the statement that AI would be relevant in the future, both in Germany (37/40, 93%) and in their own hospital (36/40, 90%). Participants were asked whether their hospitals used or planned to use AI technologies. Of the 40 participants, 26 (65%) answered “yes.” Most AI technologies were used or planned for patient care, followed by biomedical research, administration, and logistics and central purchasing. The most important barriers to AI were lack of resources (staff, knowledge, and financial). Relevant possible opportunities for using AI were increase in efficiency owing to time-saving effects, competitive advantages, and increase in quality of care. Most AI tools in use or in planning have been developed with external partners.

Conclusions

Few tools have been implemented in routine care, and many hospitals do not use or plan to use AI in the future. This can likely be explained by missing or unclear business cases or the need for a modern IT infrastructure to integrate AI tools in a usable manner. These shortcomings complicate decision-making and resource attribution. As most AI technologies already in use were developed in cooperation with external partners, these relationships should be fostered. IT decision makers should assess their hospitals’ readiness for AI individually with a focus on resources. Further research should continue to monitor the dissemination of AI tools and readiness factors to determine whether improvements can be made over time. This monitoring is especially important with regard to government-supported investments in AI technologies that could alleviate financial burdens. Qualitative studies with hospital IT decision makers should be conducted to further explore the reasons for slow AI.

The Key Success Factors for Attracting Foreign Investment in the Post-Epidemic Era

The global economy has been hit by the unexpected COVID-19 outbreak, and foreign investment has been seen as one of the most important tools to boost the economy. However, in the highly uncertain post-epidemic era, determining how to attract foreign investment is the key to revitalizing the economy. What are the important factors for governments to attract investment, and how to improve them? This will be an important decision in the post-epidemic era. Therefore, this study develops a novel decision-making model to explore the key factors in attracting foreign investment. The model first uses fuzzy Delphi to explore the key factors of attracting foreign investment in the post-epidemic era, and then uses DEMATEL to construct the causal relationships among these factors. To overcome the uncertainty of various information sources and inconsistent messages from decision-makers, this study combined neutrosophic set theory to conduct quantitative analysis. The results of the study show that the model is suitable for analyzing the key factors of investment attraction in the post-epidemic period. Based on the results of the study, we also propose strategies that will help the relevant policy-making departments to understand the root causes of the problem and to formulate appropriate investment strategies in advance. In addition, the model is also used for comparative analysis, which reveals that this novel approach can integrate more incomplete information and present expert opinions in a more objective way.

Nexus of Digital Organizational Culture, Capabilities, Organizational Readiness, and Innovation: Investigation of SMEs Operating in the Digital Economy

This current study was conducted in order to develop a digital innovation model based on the digital organizational culture, digital capability, and organizational readiness. This study explores how the organizational readiness plays a mediating role between the digital capabilities and digital innovation and between the digital organizational culture and digital innovation. For data collection, the survey instrument was used to collect data from 227 SMEs of ICT industry in Pakistan. The findings have revealed a significant connection of the digital organizational culture and digital capabilities with the digital innovation. Second, the organizational readiness mediates between the digital capabilities, digital organizational culture, and digital innovation. The study has empirically confirmed how to flourish a mechanism of the digital innovation in the SMEs. Moreover, the findings suggest some substantial implications for the management by focusing on the digital capabilities and digital organizational culture as a fundamental predictor for the digital innovation via organizational readiness.

Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors

Artificial intelligence (AI) offers organizations much potential. Considering the manifold application areas, AI’s inherent complexity, and new organizational necessities, companies encounter pitfalls when adopting AI. An informed decision regarding an organization’s readiness increases the probability of successful AI adoption and is important to successfully leverage AI’s business value. Thus, companies need to assess whether their assets, capabilities, and commitment are ready for the individual AI adoption purpose. Research on AI readiness and AI adoption is still in its infancy. Consequently, researchers and practitioners lack guidance on the adoption of AI. The paper presents five categories of AI readiness factors and their illustrative actionable indicators. The AI readiness factors are deduced from an in-depth interview study with 25 AI experts and triangulated with both scientific and practitioner literature. Thus, the paper provides a sound set of organizational AI readiness factors, derives corresponding indicators for AI readiness assessments, and discusses the general implications for AI adoption. This is a first step toward conceptualizing relevant organizational AI readiness factors and guiding purposeful decisions in the entire AI adoption process for both research and practice.

Building a Digital Bridge to Support Patient-Centered Care Transitions From Hospital to Home for Older Adults With Complex Care Needs: Protocol for a Co-Design, Implementation, and Evaluation Study

BACKGROUND

Older adults with multimorbidity and complex care needs (CCN) are among those most likely to experience frequent care transitions between settings, particularly from hospital to home. Transition periods mark vulnerable moments in care for individuals with CCN. Poor communication and incomplete information transfer between clinicians and organizations involved in the transition from hospital to home can impede access to needed support and resources. Establishing digitally supported communication that enables person-centered care and supported self-management may offer significant advantages as we support older adults with CCN transitioning from hospital to home.

OBJECTIVE

This protocol outlines the plan for the development, implementation, and evaluation of a Digital Bridge co-designed to support person-centered health care transitions for older adults with CCN. The Digital Bridge builds on the foundation of two validated technologies: Care Connector, designed to improve interprofessional communication in hospital, and the electronic Patient-Reported Outcomes (ePRO) tool, designed to support goal-oriented care planning and self-management in primary care settings. This project poses three overarching research questions that focus on adapting the technology to local contexts, evaluating the impact of the Digital Bridge in relation to the quadruple aim, and exploring the potential to scale and spread the technology.

METHODS

The study includes two phases: workflow co-design (phase 1), followed by implementation and evaluation (phase 2). Phase 1 will include iterative co-design working groups with patients, caregivers, hospital providers, and primary care providers to develop a transition workflow that will leverage the use of Care Connector and ePRO to support communication through the transition process. Phase 2 will include implementation and evaluation of the Digital Bridge within two hospital systems in Ontario in acute and rehab settings (600 patients: 300 baseline and 300 implementation). The primary outcome measure for this study is the Care Transitions Measure-3 to assess transition quality. An embedded ethnography will be included to capture context and process data to inform the implementation assessment and development of a scale and spread strategy. An Integrated Knowledge Translation approach is taken to inform the study. An advisory group will be established to provide insight and feedback regarding the project design and implementation, leading the development of the project knowledge translation strategy and associated outputs.

RESULTS

This project is underway and expected to be complete by Spring 2024.

CONCLUSIONS

Given the real-world implementation of Digital Bridge, practice changes in the research sites and variable adherence to the implementation protocols are likely. Capturing and understanding these considerations through a mixed-methods approach will help identify the range of factors that may influence study results. Should a favorable evaluation suggest wide adoption of the proposed intervention, this project could lead to positive impact at patient, clinician, organizational, and health system levels.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04287192; https://clinicaltrials.gov/ct2/show/NCT04287192.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/20220.

Implementation of interprofessional team-based care: A cross-case analysis

Two out of five Canadians have at least one chronic disease and four out of five are at risk of developing a chronic disease. Successful disease management relies on interprofessional team-based approaches, yet lack of purposeful cultivation and patient engagement has led to systematic inefficiencies. Two primary care teams in Southwestern Ontario implementing interprofessional chronic care programs for patients with chronic obstructive pulmonary disease were compared. A mixed-methods cross-case analysis was conducted including interviews, focus groups, observations and document analysis. Cases (n = 2) were chosen based on intrinsic and unique value. Participants (n = 46) were sampled using a combination of purposive and multi-level sampling. Data was analyzed using an iterative process; inductive coding was used to gain a sense of context followed by a deductive cross-case analysis to compare and contrast themes across sites. Kompier's five-step framework was used to assess factors contributing to successful implementation and to provide insight into interactions between teams, providers and patients. Both cases satisfied all five factors (systemic and gradual approach, identification of risk factors, theory-driven, participatory approach and sustained committed support). However, one case was more successful at fully implementing their model, attributed to a flexible implementation, plans to mitigate risks, theory use, a supportive team and continued buy-in from leadership. By better understanding key facilitators and barriers, we can support the implementation of chronic disease management programs, foster sustainability of high-performing interprofessional teams, and engage patients in the development and maintenance of team-based chronic disease management.

Technological Capabilities to Assess Digital Excellence in Hospitals in High Performing Health Care Systems: International eDelphi Exercise

BACKGROUND

Hospitals worldwide are developing ambitious digital transformation programs as part of broader efforts to create digitally advanced health care systems. However, there is as yet no consensus on how best to characterize and assess digital excellence in hospitals.

OBJECTIVE

Our aim was to develop an international agreement on a defined set of technological capabilities to assess digital excellence in hospitals.

METHODS

We conducted a two-stage international modified electronic Delphi (eDelphi) consensus-building exercise, which included a qualitative analysis of free-text responses. In total, 31 international health informatics experts participated, representing clinical, academic, public, and vendor organizations.

RESULTS

We identified 35 technological capabilities that indicate digital excellence in hospitals. These are divided into two categories: (a) capabilities within a hospital (n=20) and (b) capabilities enabling communication with other parts of the health and social care system, and with patients and carers (n=15). The analysis of free-text responses pointed to the importance of nontechnological aspects of digitally enabled change, including social and organizational factors. Examples included an institutional culture characterized by a willingness to transform established ways of working and openness to risk-taking. The availability of a range of skills within digitization teams, including technological, project management and business expertise, and availability of resources to support hospital staff, were also highlighted.

CONCLUSIONS

We have identified a set of criteria for assessing digital excellence in hospitals. Our findings highlight the need to broaden the focus from technical functionalities to wider digital transformation capabilities.

Health providers' readiness for electronic health records adoption: A cross-sectional study of two hospitals in northern Ghana

Introduction

Electronic Health Records are receiving considerable attention as a valuable tool for managing clinical information. Despite the prospects of Electronic Health Records in developing countries, many pre-implementation assessments target organizational, managerial, and infrastructural readiness, but barely include a detailed examination of health provider readiness. Meanwhile, health provider readiness is a critical success factor for electronic health records in settings where the majority of the workforce is less likely to have basic computer skills. We sought to assess the readiness of health providers for electronic health records in Ghana.

Materials and method

An institutional-based cross-sectional study was conducted among 350 health providers in northern Ghana from June-September 2019. Data were collected using a modified questionnaire on provider readiness. The mean overall readiness was calculated for each respondent. Providers with readiness score below the overall mean score were categorized as not being ready while those at or above the mean score were considered ready. Multiple linear regression was conducted to determine the factors that determine provider readiness.

Results

Two hundred and nine health providers responded to the questionnaire (59.7 response rate). The mean overall readiness was 3.61 (SD = .76), mean core readiness was 3.74 (SD = .80), and mean engagement readiness was 3.47 (SD = .67). Using the average overall readiness score as the cut-off for determining being ready and not ready for electronic health records, overall readiness was 54.9%, core readiness was 67.2%, while engagement readiness was 43.1%. Age, sex, old employees compared to new employees, computer literacy, and knowledge of electronic health records were significant determinants of health providers’ readiness to adopt electronic health records.

Conclusion

We observed that health providers were marginally ready for electronic health records adoption. While participants might have expressed dissatisfaction with paper-based records and expressed a desire for electronic health records, they expressed fear of the potential impact of computerized records. We proposed a robust informatics curriculum and capacity building workshops for improving provider readiness for electronic health records.

An Exploratory Study of the Readiness of Public Healthcare Facilities in Developing Countries to Adopt Health Information Technology (HIT)/e-Health: the Case of Ghana

There are myriad of factors used in assessing health information technology (HIT)/e-Health of healthcare institutions in developing countries and beyond. In this paper, we intended to identify and gain a deeper understanding of factors used in assessing HIT/e-Health readiness in developing countries through the identification of contextual attributes using Ghana as an exemplary developing country. Through in-depth interviews using aide memoire as interview guide, we explored Core readiness, Engagement readiness, Technological readiness, HIT funding readiness, Regulatory and policy readiness, Workforce readiness and Change Management readiness. We adapted the systematic thematic analysis of qualitative data guide suggested by Braun and Clarke (2013) and O'Connor and Gibson (Pimatisiwin 1: 63-90, 2003) in order to generate codes and build over-arching themes. While Organizational cultural readiness was found to be a more applicable theme/factor in place of Engagement readiness and Change management readiness, Resource readiness wasalso deemed a more appropriate theme for HIT funding readiness and Workforce readiness respectively. A total of 23 factors likely to promote HIT adoption in Ghana and 29 factors capable of impeding HIT adoption in Ghana and potentially in other developing countries were identified. For effective assessment of HIT readiness factors, there is a critical need for a deeper understanding of their applicability in differing settings. The outcome of this study offers a valuable insight into improving circumstances under which HIT/e-Health is adopted. When effectually carried out, assessment of this nature could be help side-step losses on large money, effort, time, delay and importantly, dissatisfaction among stakeholders while enabling change processes healthcare institutions and communities involved. This study also contributes to the limited literature on HIT/e-Health implementation scenarios while offering basis for theory-building.

A model for evaluating eHealth preparedness – a case study approach

Purpose

This paper aims to validate an initially developed e-Health readiness assessment model.

Design/methodology/approach

The authors thematically analysed an initial qualitative data collected and used the outcome to develop survey instruments for this study. To collect the quantitative data, the authors used the drop and collect survey approach given the research setting. The quantitative data was analysed using factor and regression analyses of SPSS 23 in which hypotheses formulated were tested.

Findings

The results suggest that the model [R2 = 0.971; F (5, 214) = 1414.303], which is made up of readiness assessment factors (constructs) and measuring tools explain about 97% of the variance of the overall health information technology/e-Health adoption readiness at Komfo Anokye Teaching Hospital. The measuring tools were reliable for assessing the composite variables (constructs): technology readiness; operational resource readiness; organizational and cultural readiness; regulatory and policy readiness; and core readiness, which have significant influence on eHealth adoption readiness assessment..

Originality/value

This study has successfully validated empirically developed eHealth readiness assessment model with complete reliable indicators given that existing eHealth readiness assessment models have not been effective due to a general lack of standard indicators for measuring assessment factors. The study also contributes to the growing research on the adoption of information technology/systems in health-care environment using the Technology–Organization–Environment framework.

The Impact of Superfast Broadband, Tailored Booklets for Households, and Discussions With General Practitioners on Personal Electronic Health Readiness: Cluster Factorial Quasi-Randomized Control Trial

Background

Electronic health (eHealth) may improve health outcomes, but many people remain digitally excluded. Personal readiness to use the internet for health may be limited by lack of internet infrastructure, personal skills, social support, service provision, and cost. The impact of interventions to reduce these barriers is unknown. From 2011, the British Government supported the implementation of “superfast” broadband (Superfast) across the rural county of Cornwall. This provided the opportunity to assess the impact of interventions at regional, practice, and household levels.

Objective

This study aimed to assess the impact of 3 interventions on personal eHealth readiness: (1) regional-level implementation of Superfast, (2) practice-level discussions with general practitioners to encourage greater internet use in health service provision, and (3) household-level tailored booklets providing information to help improve personal skills in eHealth.

Methods

This was a cluster quasi-randomized factorial controlled trial. Implementation of Superfast was monitored, and postcodes were classified as having early or late availability. An algorithm selected 78 from 16,385 eligible postcodes to minimize the possibility of overlap between general practices and ensure a balance of urban and rural areas; 1388 households were randomly selected from the 78 postcodes and allocated to the 8 (2 × 2 × 2) study arms. A modified version of the Personal eHealth Readiness Questionnaire was used to compare scores (0 to 10) and 4 components (personal, provision, support, and economic) from baseline (August 2013) to the 18-month follow-up between the 8 arms, to assess the impact of interventions. We compared SDs of scores to assess changes in eHealth inequalities.

Results

eHealth readiness improved over 18 months from 4.36 out of 10 to 4.59 out of 10 (t₂₃₅=4.18; P<.001; CI=0.13 to 0.35), resulting from increases in personal and provision components of the score (t₂₅₅=3.191; P=.002 and t₂₅₈=3.410; P=.001). However, there were no significant differences between the 3 interventions, either singly or in combination using intention-to-treat analysis. The proportion of internet users did not significantly increase (79.2%, 205/259 to 81.5%, 211/259) and mobile use was significantly greater (50.5%, 101/199 to 64.8%, 129/199). There was no change in eHealth inequality.

Conclusions

People in Cornwall became more ready to adopt eHealth services, increasing both their personal ability to use eHealth and their methods of access. The implementation of Superfast may have contributed to this; we are certain that our other 2 interventions did not. This increased eHealth readiness did not cause a larger digital divide. The study illustrates the complexity of conducting a randomized controlled trial to assess the impact of interventions at regional, practice, and household levels. Our method may be of use to others.

Trial Registration

ClinicalTrials.gov NCT00102401; https://clinicaltrials.gov/ct2/show/NCT02355808 (Archived by WebCite at http://www.webcitation.org/75oEz0E1x)

A Comparison of Electronic Medical Record Data to Paper Records in Antiretroviral Therapy Clinic in Ethiopia: What is affecting the Quality of the Data?

Background

Anti-Retroviral Therapy (ART) care is a lifelong treatment, which needs accurate and reliable data collected for long period of time. Poor quality of medical records data remains a challenge and is directly related to the quality of care of patients. To improve this, there is an increasing trend to implement electronic medical record (EMR) in hospitals. However, there is little evidence on the impact of EMR on the quality of health data in low- resource setting hospitals like Ethiopia. This comparative study aims to fill this evidence gap by assessing the completeness and reliability of paper-based and electronic medical records and explore the challenges of ensuring data quality at the Anti-Retroviral Therapy (ART) clinic at the University of Gondar Referral Hospital in Northwest Ethiopia.

Methods

An institution-based comparative cross-sectional study, supplemented with a qualitative approach was conducted from February 1 to March 30, 2017 at the ART clinic of the University of Gondar Hospital. A total of 250 medical records having both electronic and paper-based versions were collected and assessed. A national ART registration form which consists of 40 ART data elements was used as a checklist to assess completeness and reliability dimensions of data quality on medical records of patients on HIV care. Kappa statistics were computed to describe the level of data agreement between paper-based and electronic records across patient characteristics. In-depth interviews were conducted using semi-structured questionnaires with ten key informants to explore the challenges related with the quality of medical records. Responses of the key informant interviews were analyzed using thematic analysis.

Results

The overall completeness of medical records was 78% with 95% CI (70.8% - 85.1%) in paper-based and 76% with 95%CI (67.8% - 83.2%) EMR. The data reliability measured in Kappa statistics shows strong agreements on the socio-demographic data such as educational status 0.93 (0.891, 0.963), WHO staging 0.86 (0.808, 0.906); general appearance 0.83 (0.755, 0.892) and patient referral record 0.87 (0.795, 0.932). The major challenges hindering good data quality was the current side by side dual data documentation practice (the need to document both on the paper and the EMR for a single record), patient overload and low data documentation practice of health workers.

Conclusion

The overall completeness of ART medical records was still slightly better in paper-based records than EMR. The main reason affecting the EMR data quality was the current dual documentation practice both on the paper and electronic for each patient in the hospital and the high load of patients in the clinic. The hospital management need to decide to use either the paper or the electronic system and build the capacity of health workers to improve data quality in the hospital.

A framework for eHealth readiness of dietitians

AIM

To develop a framework for assessing the eHealth readiness of dietitians.

METHODS

Using an inductive approach, this research was divided into three stages: 1. a systematic literature review to identify models or frameworks on eHealth readiness; 2. data synthesis to identify eHealth readiness themes and develop a framework; and 3. semi-structured interviews with Australian nutrition informatics experts to gain consensus and validate the framework.

RESULTS

Two hundred and forty one unique citations were identified, of which twenty four met the research criteria and were included in the review and subsequent synthesis. Common eHealth readiness themes or dimensions were extracted from the literature, and five key dimensions were identified that were relevant to dietitian eHealth readiness: access, standards, attitude, aptitude and advocacy. A framework diagram was designed and discussed during semi-structured interviews with ten nutrition informatics experts to inform the final framework. The result of this research was an inductively developed Framework for eHealth Readiness of Dietitians (FeRD).

DISCUSSION

The FeRD builds on existing theories and models, and provides a conceptual model for developing eHealth readiness evaluation tools to examine, measure and drive strategies to better prepare dietitian professionals for eHealth.

Reaching consensus on reporting patient and public involvement (PPI) in research: methods and lessons learned from the development of reporting guidelines

INTRODUCTION

Patient and public involvement (PPI) is inconsistently reported in health and social care research. Improving the quality of how PPI is reported is critical in developing a higher quality evidence base to gain a better insight into the methods and impact of PPI. This paper describes the methods used to develop and gain consensus on guidelines for reporting PPI in research studies (updated version of the Guidance for Reporting Patient and Public Involvement (GRIPP2)).

METHODS

There were three key stages in the development of GRIPP2: identification of key items for the guideline from systematic review evidence of the impact of PPI on health research and health services, a three-phase online Delphi survey with a diverse sample of experts in PPI to gain consensus on included items and a face-to-face consensus meeting to finalise and reach definitive agreement on GRIPP2. Challenges and lessons learnt during the development of the reporting guidelines are reported.

DISCUSSION

The process of reaching consensus is vital within the development of guidelines and policy directions, although debate around how best to reach consensus is still needed. This paper discusses the critical stages of consensus development as applied to the development of consensus for GRIPP2 and discusses the benefits and challenges of consensus development.

e-Health readiness assessment factors and measuring tools: A systematic review

BACKGROUND

The evolving, adoption and high failure nature of health information technology (HIT)/IS/T systems requires effective readiness assessment to avert increasing failures while increasing system benefits. However, literature on HIT readiness assessment is myriad and fragmented. This review bares the contours of the available literature concluding in a set of manageable and usable recommendations for policymakers, researchers, individuals and organizations intending to assess readiness for any HIT implementation.

OBJECTIVES

Identify studies, analyze readiness factors and offer recommendations.

METHOD

Published articles 1995-2016 were searched using Medline/PubMed, Cinahl, Web of Science, PsychInfo, ProQuest. Studies were included if they were assessing IS/T/mHealth readiness in the context of HIT. Articles not written in English were excluded. Themes that emerged in the process of the data synthesis were thematically analysed and interpreted.

RESULTS

Analyzed themes were found across 63 articles. In accordance with their prevalence of use, they included but not limited to "Technological readiness", 30 (46%); "Core/Need/Motivational readiness", 23 (37%); "Acceptance and use readiness", 19 (29%); "Organizational readiness", 20 (21%); "IT skills/Training/Learning readiness" (18%), "Engagement readiness", 16 (24%) and "Societal readiness" (14%). Despite their prevalence in use, "Technological readiness", "Motivational readiness" and "Engagement readiness" all had myriad and unreliable measuring tools. Core readiness had relatively reliable measuring tools, which repeatedly been used in various readiness assessment studies CONCLUSION: Thus, there is the need for reliable measuring tools for even the most commonly used readiness assessment factors/constructs: Core readiness, Engagement and buy-ins readiness, Technological readiness and IT Skills readiness as this could serve as an immediate step in conducting effective/reliable e-Health readiness assessment, which could lead to reduced HIT implementation failures.

Factors that impact Patient Web Portal Readiness (PWPR) among the underserved

OBJECTIVE

Healthcare organizations in the US are increasingly using Patient Portals as a means to provide patients with partial access to their health records and thereby comply with the 'meaningful use' of Health Information Technology policy issued by the US federal government. Patient portals are used to not only provide access to parts of the health records such as lab results but also offer services such as customized educational materials and appointment scheduling. While prior studies examining the adoption rates of these patient portals have not offered consistent findings, many of the studies have reported limited adoption and use [1] of patient portals, especially among the underserved population. This study explores the factors behind the reduced adoption rate of patient portals among the underserved by focusing on their Patient Web Portal Readiness (PWPR).

DESIGN

The study empirically evaluates the impact of three important variables on PWPR among the underserved: (a) Personal Health Information Management (PHIM) activities, (b) patient attitude toward personal health record keeping; and (c) use of Internet for health information seeking. The study also incorporates three other factors: (d) access to Internet; (e) demographics; and (f) presence of chronic illness.

MEASUREMENTS

Data were collected through a survey from 132 patients from the underserved population who visited 5 free clinics in the Northern Virginia area in the US. The paper-based survey was administered to the patients who visited these free clinics for care.

RESULTS

The study findings show support for the hypotheses related to the impact of the two key factors - Personal Health Information Management (PHIM) activities and attitude toward personal health record keeping - on PWPR. The findings also indicate that the use of Internet for health information seeking has relatively more impact than patient's Internet access on PWPR. Overall, the findings imply the critical importance of complementary activities - e.g., PHIM activities, Internet-based health information seeking - to enhance PWPR among the underserved population.

Readiness of healthcare providers for eHealth: the case from primary healthcare centers in Lebanon

Background

eHealth can positively impact the efficiency and quality of healthcare services. Its potential benefits extend to the patient, healthcare provider, and organization. Primary healthcare (PHC) settings may particularly benefit from eHealth. In these settings, healthcare provider readiness is key to successful eHealth implementation. Accordingly, it is necessary to explore the potential readiness of providers to use eHealth tools. Therefore, the purpose of this study was to assess the readiness of healthcare providers working in PHC centers in Lebanon to use eHealth tools.

Methods

A self-administered questionnaire was used to assess participants’ socio-demographics, computer use, literacy, and access, and participants’ readiness for eHealth implementation (appropriateness, management support, change efficacy, personal beneficence). The study included primary healthcare providers (physicians, nurses, other providers) working in 22 PHC centers distributed across Lebanon. Descriptive and bivariate analyses (ANOVA, independent t-test, Kruskal Wallis, Tamhane’s T2) were used to compare participant characteristics to the level of readiness for the implementation of eHealth.

Results

Of the 541 questionnaires, 213 were completed (response rate: 39.4 %). The majority of participants were physicians (46.9 %), and nurses (26.8 %). Most physicians (54.0 %), nurses (61.4 %), and other providers (50.9 %) felt comfortable using computers, and had access to computers at their PHC center (physicians: 77.0 %, nurses: 87.7 %, others: 92.5 %). Frequency of computer use varied. The study found a significant difference for personal beneficence, management support, and change efficacy among different healthcare providers, and relative to participants’ level of comfort using computers. There was a significant difference by level of comfort using computers and appropriateness. A significant difference was also found between those with access to computers in relation to personal beneficence and change efficacy; and between frequency of computer use and change efficacy.

Conclusion

The implementation of eHealth cannot be achieved without the readiness of healthcare providers. This study demonstrates that the majority of healthcare providers at PHC centers across Lebanon are ready for eHealth implementation. The findings of this study can be considered by decision makers to enhance and scale-up the use of eHealth in PHC centers nationally. Efforts should be directed towards capacity building for healthcare providers.

Readiness for Teledentistry: Validation of a Tool for Oral Health Professionals

We validated a survey tool to test the readiness of oral health professionals for teledentistry (TD). The survey tool, the University of Calgary Health Telematics Unit's Practitioner Readiness Assessment Tool (PRAT) gathered information about the participants' beliefs, attitudes and readiness for TD before and after a teledentistry training program developed for a rural state in the Mid-Western United States. Ninety-three dental students, oral health and other health professionals participated in the TD training program and responded to the survey. Wilcoxon signed rank test was used to assess statistical differences in the change in the readiness rating before and after the training. Principal Components Analysis identified a three factor structure for the PRAT tool: Attitudes/ Attributes of Personnel; Motivation to Change and Institutional Resources. Overall, the evaluation demonstrated a positive change in all trainees' attitudes following the training sessions, with the majority of trainees acknowledging a positive impact of the training on their readiness for teledentistry.

Performance measurement tool (PMT) to control maintenance-associated infections

Purpose

Healthcare maintenance (HM) services have an important role in the control of hospital-acquired infections (HAIs). Notwithstanding, many HM managers still do not measure the performance of HM services in infection control (IC). This research, therefore, aims to establish the level of importance of critical success factors (CSFs) and performance measures in HM IC. A performance measurement tool (PMT) was also developed to improve the performance of the HM unit in IC.

Design/methodology/approach

The CSFs and performance measures identified in the literature were categorised into the four perspectives of balanced scorecard and analysed through Delphi. The Delphi participants were presented with 67 performance measures and asked to rate their level of importance in HM in IC. In total, they identified 53 important performance measures to control maintenance-associated HAIs. The results obtained from the Delphi study were used to categorise the performance measures into four means zones. The mean zones were assigned weights (1-4), and the level of importance of the CSFs was established through weighted average. Liaison and communication, IC practices and maintenance resource availability emerged as the most important CSFs in HM in IC. Conversely, customer satisfaction emerged as the least important. Information gathered about the CSFs and performance measures was used to develop a PMT in HM in IC.

Findings

The following CSFs, liaison and communication, IC practices and maintenance resource availability, emerged as the most important in HM in IC. Conversely, customer satisfaction emerged as the least important. Information gathered about the CSFs and performance measures was used to develop a PMT in HM in IC.

Originality/value

Through the application of the PMT, performance in IC can be estimated at different levels in the HM unit. The PMT allows managers to focus on the most crucial CSFs and performance measures that drive performance in HM in IC. The PMT could also be used for benchmarking purposes.

A multiprofessional information model for Brazilian primary care: Defining a consensus model towards an interoperable electronic health record

OBJECTIVE

To develop a multiprofessional information model to be used in the decision-making process in primary care in Brazil.

METHODS

This was an observational study with a descriptive and exploratory approach, using action research associated with the Delphi method. A group of 13 health professionals made up a panel of experts that, through individual and group meetings, drew up a preliminary health information records model. The questionnaire used to validate this model included four questions based on a Likert scale. These questions evaluated the completeness and relevance of information on each of the four pillars that composed the model. The changes suggested in each round of evaluation were included when accepted by the majority (≥ 50%). This process was repeated as many times as necessary to obtain the desirable and recommended consensus level (> 50%), and the final version became the consensus model.

RESULTS

Multidisciplinary health training of the panel of experts allowed a consensus model to be obtained based on four categories of health information, called pillars: Data Collection, Diagnosis, Care Plan and Evaluation.

CONCLUSION

The obtained consensus model was considered valid by the experts and can contribute to the collection and recording of multidisciplinary information in primary care, as well as the identification of relevant concepts for defining electronic health records at this level of complexity in health care.

The Feasibility of Tracking Elective Deliveries Prior to 39 Gestational Weeks: Lessons From Three California Projects

The tracking of elective deliveries (ED) prior to 39 gestational weeks has become a mandatory requirement for all hospitals with ≥1,100 deliveries for accreditation by The Joint Commission (TJC); however, the feasibility and accuracy of monitoring efforts remain problematic for many hospitals. Here, we evaluated the feasibility of three operational approaches to tracking ED. We used mixed methods to evaluate the feasibility of 3 different approaches to tracking ED: (1) using administrative data, (2) using electronic medical record (EMR) data, and (3) using targeted data collection in a county-wide quality improvement (QI) effort. For (1), we analyzed data from the California 2009 linked birth cohort dataset, and calculated hospital rates of ED using TJC technical specifications. For (2), we performed a case study of a project that recruited hospitals to provide EMR data for the TJC measure calculation. For (3), we performed a case study of a project that recruited hospitals to prospectively track elective inductions of labor. For (1), hospital discharge data were insufficient without supplementation from the EMR or birth certificate. For (2), legal and operational issues surrounding data sharing, and non-standardized data elements prohibited hospital participation. For (3), the QI approach successfully established policies and data collection systems yet lacked infrastructure to assure sustainability at a hospital or regional level. In summary, ED tracking required the coordination and support of multiple resources to enable hospitals to satisfactorily report on this measure.

Prognosis and course of pain in patients with chronic non-specific low back pain: A 1-year follow-up cohort study

BACKGROUND

It remains unclear to what extent patients recover from chronic non-specific low back pain (NSLBP). The objective of this study was to determine (1) the course of chronic NSLBP in tertiary care and (2) which factors predicted 5- and 12-month outcomes.

METHODS

This prospective study includes 1760 chronic NSLBP patients from a rehabilitation clinic (mean age 40.1 years, SD 10.6). After baseline measurement, patients followed a 2-month multidisciplinary therapy programme; evaluation took place at 2, 5 and 12 months post baseline. Recovery was defined as (1) relative recovery [30% improvement on the pain, visual analogue scale (VAS) compared with baseline] and (2) absolute recovery (VAS pain ≤ 10 mm). The multivariate logistic regression analysis included 23 baseline characteristics.

RESULTS

Patient-reported intensity of back pain decreased from 55.5 (SD 23.0) at baseline to 37.0 (SD 23.8), 35.3 (SD 26.1) and 32.3 (SD 26.9) at 2-, 5- and 12-month follow-up, respectively. Younger age, back pain at baseline, no psychological/physical dysfunction (Symptom Check List-90, item 9), and higher baseline scores on the physical component scale and mental component scale of quality of life (Short Form-36) were positively associated with recovery at 5 and 12 months. At 5-month follow-up, higher work participation at baseline was also a prognostic factor for both definitions of recovery. At 12-month follow-up, having co-morbidity was predictive for both definitions.

CONCLUSION

The results of this study indicate that in chronic NSLBP patients, bio-psychosocial prognostic factors may be important for clinicians when predicting recovery in back pain intensity during a 1-year period.

Development and validation of a tool to assess the physical and social environment associated with physical activity among adults in Sri Lanka

BACKGROUND

Environmental characteristics are known to be associated with patterns of physical activity (PA). Although several validated tools exist, to measure the environment characteristics, these instruments are not necessarily suitable for application in all settings especially in a developing country. This study was carried out to develop and validate an instrument named the "Physical And Social Environment Scale--PASES" to assess the physical and social environmental factors associated with PA. This will enable identification of various physical and social environmental factors affecting PA in Sri Lanka, which will help in the development of more tailored intervention strategies for promoting higher PA levels in Sri Lanka.

METHODS

The PASES was developed using a scientific approach of defining the construct, item generation, analysis of content of items and item reduction. Both qualitative and quantitative methods of key informant interviews, in-depth interviews and rating of the items generated by experts were conducted. A cross sectional survey among 180 adults was carried out to assess the factor structure through principal component analysis. Another cross sectional survey among a different group of 180 adults was carried out to assess the construct validity through confirmatory factor analysis. Reliability was assessed with test re-test reliability and internal consistency using Spearman r and Cronbach's alpha respectively.

RESULTS

Thirty six items were selected after the expert ratings and were developed into interviewer administered questions. Exploration of factor structure of the 34 items which were factorable through principal component analysis with Quartimax rotation extracted 8 factors. The 34 item instrument was assessed for construct validity with confirmatory factor analysis which confirmed an 8 factor model (x2 = 339.9, GFI = 0.90). The identified factors were infrastructure for walking, aesthetics and facilities for cycling, vehicular traffic safety, access and connectivity, recreational facilities for PA, safety, social cohesion and social acceptance of PA with the two non-factorable factors, residential density and land use mix. The PASES also showed good test re-test reliability and a moderate level of internal consistency.

CONCLUSIONS

The PASES is a valid and reliable tool which could be used to assess the physical and social environment associated with PA in Sri Lanka.

You and me and the computer makes three: variations in exam room use of the electronic health record

Challenges persist on how to effectively integrate the electronic health record (EHR) into patient visits and clinical workflow, while maintaining patient-centered care. Our goal was to identify variations in, barriers to, and facilitators of the use of the US Department of Veterans Affairs (VA) EHR in ambulatory care workflow in order better to understand how to integrate the EHR into clinical work. We observed and interviewed 20 ambulatory care providers across three geographically distinct VA medical centers. Analysis revealed several variations in, associated barriers to, and facilitators of EHR use corresponding to different units of analysis: computer interface, team coordination/workflow, and organizational. We discuss our findings in the context of different units of analysis and connect variations in EHR use to various barriers and facilitators. Findings from this study may help inform the design of the next generation of EHRs for the VA and other healthcare systems.

Prognosis and course of disability in patients with chronic nonspecific low back pain: a 5- and 12-month follow-up cohort study

BACKGROUND

Few data are available on the course of and predictors for disability in patients with chronic nonspecific low back pain (CNSLBP).

OBJECTIVE

The purpose of this study was to describe the course of disability and identify clinically important prognostic factors of low-back-pain-specific disability in patients with CNSLBP receiving multidisciplinary therapy.

DESIGN

A prospective cohort study was conducted.

METHODS

A total of 1,760 patients with CNSLBP who received multidisciplinary therapy were evaluated for their course of disability and prognostic factors at baseline and at 2-, 5-, and 12-month follow-ups. Recovery was defined as 30% reduction in low back pain-specific disability at follow-up compared with baseline and as absolute recovery if the score on the Quebec Back Pain Disability Scale (QBPDS) was ≤20 points at follow-up. Potential prognostic factors were identified using multivariable logistic regression analysis.

RESULTS

Mean patient-reported disability scores on the QBPDS ranged from 51.7 (SD=15.6) at baseline to 31.7 (SD=15.2), 31.1 (SD=18.2), and 29.1 (SD=20.0) at 2, 5, and 12 months, respectively. The prognostic factors identified for recovery at 5 and 12 months were younger age and high scores on disability and on the 36-Item Short-Form Health Survey (SF-36) (Physical and Mental Component Summaries) at baseline. In addition, at 5-month follow-up, a shorter duration of complaints was a positive predictor, and having no comorbidity and less pain at baseline were additional predictors at 12-month follow-up.

LIMITATIONS

Missing values at 5- and 12-month follow-ups were 11.1% and 45.2%, respectively.

CONCLUSION

After multidisciplinary treatment, the course of disability in patients with CNSLBP continued to decline over a 12-month period. At 5- and 12-month follow-ups, prognostic factors were identified for a clinically relevant decrease in disability scores on the QBPDS.

Organizational readiness for knowledge translation in chronic care: a review of theoretical components

BACKGROUND

With the persistent gaps between research and practice in healthcare systems, knowledge translation (KT) has gained significance and importance. Also, in most industrialized countries, there is an increasing emphasis on managing chronic health conditions with the best available evidence. Yet, organizations aiming to improve chronic care (CC) require an adequate level of organizational readiness (OR) for KT.

OBJECTIVES

The purpose of this study is to review and synthesize the existing evidence on conceptual models/frameworks of Organizational Readiness for Change (ORC) in healthcare as the basis for the development of a comprehensive framework of OR for KT in the context of CC.

DATA SOURCES

We conducted a systematic review of the literature on OR for KT in CC using Pubmed, Embase, CINAHL, PsychINFO, Web of Sciences (SCI and SSCI), and others. Search terms included readiness; commitment and change; preparedness; willing to change; organization and administration; and health and social services.

STUDY SELECTION

The search was limited to studies that had been published between the starting date of each bibliographic database (e.g., 1964 for PubMed) and November 1, 2012. Only papers that refer to a theory, a theoretical component from any framework or model on OR that were applicable to the healthcare domain were considered. We analyzed data using conceptual mapping.

DATA EXTRACTION

Pairs of authors independently screened the published literature by reviewing their titles and abstracts. Then, the two same reviewers appraised the full text of each study independently.

RESULTS

Overall, we found and synthesized 10 theories, theoretical models and conceptual frameworks relevant to ORC in healthcare described in 38 publications. We identified five core concepts, namely organizational dynamics, change process, innovation readiness, institutional readiness, and personal readiness. We extracted 17 dimensions and 59 sub-dimensions related to these 5 concepts.

CONCLUSION

Our findings provide a useful overview for researchers interested in ORC and aims to create a consensus on the core theoretical components of ORC in general and of OR for KT in CC in particular. However, more work is needed to define and validate the core elements of a framework that could help to assess OR for KT in CC.

Processing medical data: a systematic review

Background

Medical data recording is one of the basic clinical tools. Electronic Health Record (EHR) is important for data processing, communication, efficiency and effectiveness of patients’ information access, confidentiality, ethical and/or legal issues. Clinical record promote and support communication among service providers and hence upscale quality of healthcare. Qualities of records are reflections of the quality of care patients offered.

Methods

Qualitative analysis was undertaken for this systematic review. We reviewed 40 materials Published from 1999 to 2013. We searched these materials from databases including ovidMEDLINE and ovidEMBASE. Two reviewers independently screened materials on medical data recording, documentation and information processing and communication. Finally, all selected references were summarized, reconciled and compiled as one compatible document.

Result

Patients were dying and/or getting much suffering as the result of poor quality medical records. Electronic health record minimizes errors, saves unnecessary time, and money wasted on processing medical data.

Conclusion

Many countries have been complaining for incompleteness, inappropriateness and illegibility of records. Therefore creating awareness on the magnitude of the problem has paramount importance. Hence available correct patient information has lots of potential in reducing errors and support roles.

Development of a Questionnaire and Cross-Sectional Survey of Patient eHealth Readiness and eHealth Inequalities

BACKGROUND

Many speak of the digital divide, but variation in the opportunity of patients to use the Internet for health (patient eHealth readiness) is not a binary difference, rather a distribution influenced by personal capability, provision of services, support, and cost. Digital divisions in health have been addressed by various initiatives, but there was no comprehensive validated measure to know if they are effective that could be used in randomized controlled trials (RCTs) covering both non-Internet-users and the range of Internet-users.

OBJECTIVE

The aim of this study was to develop and validate a self-completed questionnaire and scoring system to assess patient eHealth readiness by examining the spread of scores and eHealth inequalities. The intended use of this questionnaire and scores is in RCTs of interventions aiming to improve patient eHealth readiness and reduce eHealth inequalities.

METHODS

Based on four factors identified from the literature, a self-completed questionnaire, using a pragmatic combination of factual and attitude questions, was drafted and piloted in three stages. This was followed by a final population-based, cross-sectional household survey of 344 people used to refine the scoring system.

RESULTS

the patient ehealth readiness questionnaire (perq) includes questions used to calculate four subscores: patients' perception of (1) provision, (2) their personal ability and confidence, (3) their interpersonal support, and (4) relative costs in using the Internet for health. These were combined into an overall PERQ score (0-9) which could be used in intervention studies. Reduction in standard deviation of the scores represents reduction in eHealth inequalities.

CONCLUSIONS

PERQ appears acceptable for participants in British studies. The scores produced appear valid and will enable assessment of the effectiveness of interventions to improve patient eHealth readiness and reduce eHealth inequalities. Such methods need continued evolution and redevelopment for other environments. Full documentation and data have been published to allow others to develop the tool further.

Advancing the adoption, integration and testing of technological advancements within existing care systems

OBJECTIVE

This manuscript reviews the work on uptake and dissemination of health information technologies in mental health populations and settings, with the goal of informing the future research agenda.

METHODS

We reviewed both the formal and "grey" literature describing the rates and correlates of uptake for electronic health records (EHRs) and personal health records (PHRs) for general and specialty mental health settings.

RESULTS

Rates of uptake and use of EHRs and PHRs are low in general medical settings, and the limited evidence suggests even lower rates for specialty mental health settings. Many of the patient, provider and system-level characteristics associated with lower rates of use in general populations would be expected to be exacerbated in mental health settings.

CONCLUSIONS

The findings suggest a need to better understand both the causes and strategies for overcoming barriers to uptake of health information technology (HIT) in mental health settings. Observational studies could help to better elucidate the barriers to adoption of HIT that are unique or disproportionate in mental health populations. Implementation science studies are needed to better identify strategies for addressing these barriers and optimizing uptake of mental health HIT interventions.

Expert consensus building using e-Delphi for necrotizing enterocolitis risk assessment

OBJECTIVE

To confirm content validity of GutCheck(NEC) , a risk index for necrotizing enterocolitis (NEC) and to determine the level of agreement among experts about NEC risk factors in premature infants.

DESIGN

Electronic Delphi method (e-Delphi).

SETTING

Online electronic surveys and e-mail communication supported by an interactive study website.

PARTICIPANTS

Nurses and physicians (N = 35) from four countries and across the United States who rated themselves as at least moderately expert about NEC risk.

METHODS

e-Delphi involved three rounds of surveys and qualitative thematic analysis of experts' comments. Surveys continued until criteria for consensus and/or stability were met.

RESULTS

Of 64 initial items, 43 were retained representing 33 risk factors (final GutCheck(NEC) Content Validity Index [CVI] = .77). Two broad themes about NEC risk emerged from 242 comments: the impact of individual physiologic vulnerability and variation in neonatal intensive care unit (NICU) clinicians' practices. Controversy arose over the impact of treatments on NEC, including probiotics, packed red blood cell (PRBC) transfusions, and patent ductus arteriosus (PDA) management using indomethacin.

CONCLUSION

GutCheck(NEC) achieved borderline content validity for a new scale. The e-Delphi process yielded a broad perspective on areas in which experts share and lack consensus on NEC risk. Future testing is underway to reduce the number of risk items to the most parsimonious set for a clinically useful risk tool and test reliability.

The next-generation electronic health record: perspectives of key leaders from the US Department of Veterans Affairs

The rapid change in healthcare has focused attention on the necessary development of a next-generation electronic health record (EHR) to support system transformation and more effective patient-centered care. The Department of Veterans Affairs (VA) is developing plans for the next-generation EHR to support improved care delivery for veterans. To understand the needs for a next-generation EHR, we interviewed 14 VA operational, clinical and informatics leaders for their vision about system needs. Leaders consistently identified priorities for development in the areas of cognitive support, information synthesis, teamwork and communication, interoperability, data availability, usability, customization, and information management. The need to reconcile different EHR initiatives currently underway in the VA, as well as opportunities for data sharing, will be critical for continued progress. These findings may support the VA's effort for evolutionary change to its information system and draw attention to necessary research and development for a next-generation information system and EHR nationally.

Tool for E-Health Preparedness Assessment in the Context of an Influenza Pandemic

E-Health applications may mitigate the impact of a pandemic by facilitating disease surveillance and control activities, and improving performance of medical practices. The implementation of these applications requires proper planning and management. E-Health preparedness assessment represents an important step in change management, and including this step in its planning stage may increase the chances of its implementation success. This article presents a three-phase methodology that was developed and utilised in a collaborative project on E-Health preparedness assessment in the context of an influenza pandemic. Based on this project, a software tool set was newly developed to partially automate the assessment process.