Dataset Information

The Implementation Leadership Scale (ILS): development of a brief measure of unit level implementation leadership.

ABSTRACT:

Background

In healthcare and allied healthcare settings, leadership that supports effective implementation of evidenced-based practices (EBPs) is a critical concern. However, there are no empirically validated measures to assess implementation leadership. This paper describes the development, factor structure, and initial reliability and convergent and discriminant validity of a very brief measure of implementation leadership: the Implementation Leadership Scale (ILS).

Methods

Participants were 459 mental health clinicians working in 93 different outpatient mental health programs in Southern California, USA. Initial item development was supported as part of a two United States National Institutes of Health (NIH) studies focused on developing implementation leadership training and implementation measure development. Clinician work group/team-level data were randomly assigned to be utilized for an exploratory factor analysis (n?=?229; k?=?46 teams) or for a confirmatory factor analysis (n?=?230; k?=?47 teams). The confirmatory factor analysis controlled for the multilevel, nested data structure. Reliability and validity analyses were then conducted with the full sample.

Results

The exploratory factor analysis resulted in a 12-item scale with four subscales representing proactive leadership, knowledgeable leadership, supportive leadership, and perseverant leadership. Confirmatory factor analysis supported an a priori higher order factor structure with subscales contributing to a single higher order implementation leadership factor. The scale demonstrated excellent internal consistency reliability as well as convergent and discriminant validity.

Conclusions

The ILS is a brief and efficient measure of unit level leadership for EBP implementation. The availability of the ILS will allow researchers to assess strategic leadership for implementation in order to advance understanding of leadership as a predictor of organizational context for implementation. The ILS also holds promise as a tool for leader and organizational development to improve EBP implementation.

SUBMITTER: Aarons GA

PROVIDER: S-EPMC4022333 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature

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Publications

The Implementation Leadership Scale (ILS): development of a brief measure of unit level implementation leadership.

Aarons Gregory A GA Ehrhart Mark G MG Farahnak Lauren R LR

Implementation science : IS 20140414 1

<h4>Background</h4>In healthcare and allied healthcare settings, leadership that supports effective implementation of evidenced-based practices (EBPs) is a critical concern. However, there are no empirically validated measures to assess implementation leadership. This paper describes the development, factor structure, and initial reliability and convergent and discriminant validity of a very brief measure of implementation leadership: the Implementation Leadership Scale (ILS).<h4>Methods</h4>Par ...[more]

PMID: 24731295

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Project description:BackgroundThere is a need for pragmatic and reliable measures of sound factors that affect evidence-based practice (EBP) adoption and implementation in different languages and cultural environments. The Implementation Leadership Scale (ILS) is a brief and efficient measurement tool of strategic leadership for EBP implementation. The objective of this study was to assess the psychometric properties of the Spanish version of the ILS.MethodsThe process of translation of the original ILS into Spanish consisted of forward translation, panel meeting, and back-translation. Scale face and content validity compared to that of the original version were assessed and ensured before agreement on the final version. Psychometric properties were examined in 144 healthcare professionals (family physicians, pediatricians, practice and pediatric nurses) involved in implementation or improvement research projects. ILS factor structure was tested by confirmatory factor analysis (CFA). Reliability was assessed by internal consistency analysis. The Pearson correlation between the ILS and the Organizational Support dimension of the Organizational Readiness for Knowledge Translation (OR4KT) questionnaire in the subsample of pediatricians and pediatric nurses (n = 52) was estimated for convergent validity analysis.ResultsThe CFA results indicated that the original four theorized first-order factors with a second-order Implementation Leadership factor fit the data well (χ2 = 107.70; df = 45; p < 0.001). All standardized first- and second-order factor loadings were statistically significant. Fit indexes showed acceptable figures (GFI = 0.90; CFI = 0.97; RMSEA = 0.10; SRMR = 0.053). Cronbach's alpha coefficient for the four dimensions of ILS ranged from 0.90 to 0.97, while the reliability estimated for the total scale was 0.95. Results of convergent validity revealed high correlation (r = 0.56) between the ILS and the OR4KT's Organizational Support dimension.ConclusionThe CFA results demonstrated that the tested first- and second-order factor structure of the 12-item Spanish version of the ILS is consistent with the factor structure of the original tool. The availability of the ILS will allow Spanish-speaking researchers to assess and advance understanding of the implementation leadership construct as a predictor of organizational implementation context.

Project description:BACKGROUND:Nurse managers have a pivotal role in fostering unit climates supportive of implementing evidence-based practices (EBPs) in care delivery. EBP leadership behaviors and competencies of nurse managers and their impact on practice climates are widely overlooked in implementation science. The purpose of this study was to examine the contributions of nurse manager EBP leadership behaviors and nurse manager EBP competencies in explaining unit climates for EBP implementation in adult medical-surgical units. METHODS:A multi-site, multi-unit cross-sectional research design was used to recruit the sample of 24 nurse managers and 553 randomly selected staff nurses from 24 adult medical-surgical units from 7 acute care hospitals in the Northeast and Midwestern USA. Staff nurse perceptions of nurse manager EBP leadership behaviors and unit climates for EBP implementation were measured using the Implementation Leadership Scale and Implementation Climate Scale, respectively. EBP competencies of nurse managers were measured using the Nurse Manager EBP Competency Scale. Participants were emailed a link to an electronic questionnaire and asked to respond within 1 month. The contributions of nurse manager EBP leadership behaviors and competencies in explaining unit climates for EBP implementation were estimated using mixed-effects models controlling for nurse education and years of experience on current unit and accounting for the variability across hospitals and units. Significance level was set at α < .05. RESULTS:Two hundred sixty-four staff nurses and 22 nurse managers were included in the final sample, representing 22 units in 7 hospitals. Nurse manager EBP leadership behaviors (p < .001) and EBP competency (p = .008) explained 52.4% of marginal variance in unit climate for EBP implementation. Leadership behaviors uniquely explained 45.2% variance. The variance accounted for by the random intercepts for hospitals and units (p < .001) and years of nursing experience in current unit (p < .05) were significant but level of nursing education was not. CONCLUSION:Nurse managers are significantly related to unit climates for EBP implementation primarily through their leadership behaviors. Future implementation studies should consider the leadership of nurse managers in creating climates supportive of EBP implementation.

Project description:BackgroundStrategic implementation leadership is a critical determinant of successful implementation, hypothesized to create a more supportive implementation climate conducive to the adoption and use of evidence-based practices. Implementation leadership behaviors may vary significantly across contexts, necessitating studies that examine the validity of established measurement tools in novel health service delivery sectors. The education sector is the most common site for delivering mental health services to children and adolescents in the USA, but research focused on implementation leadership in schools is in the early phases, and there is a need for adaptation and expansion of instruments in order to tailor to the school context. The current study adapted and validated the School Implementation Leadership Scale (SILS) (based on the Implementation Leadership Scale) in a sample of elementary school personnel from six school districts who were implementing one of two well-established prevention programs for supporting children's mental health.MethodsParticipants were 441 public school teachers from 52 elementary schools in the Midwest and West Coast of the USA. Participants completed a survey that contained: (1) an adapted and expanded version of the SILS with additional items generated for four existing subscales as well as three new subscales (communication, vision/mission, and availability), and (2) additional tools to evaluate convergent and divergent validity (i.e., measures of general/molar leadership and teaching attitudes). Data underwent (1) examination of item characteristic curves to reduce items and ensure a pragmatic instrument, (2) confirmatory factor analyses to establish structural validity, and (3) evaluation of convergent and divergent validity.ResultsItem reduction analyses resulted in seven subscales of three items each. Results indicated acceptable fit for a seven-factor structural model (CFI = .995, TLI = .99, RMSEA = .07, SRMR = 0.02). Second-order factor loadings were high (λ = .89 to .96), suggesting that the SILS subscales comprise a higher-order implementation leadership factor. All subscales demonstrated good inter-item reliability (α = .91-.96). Convergent and divergent validity results were generally as hypothesized, with moderate to high correlations between SILS subscales and general leadership, moderate correlations with teaching attitudes, and low correlations with school demographics.ConclusionsOverall, results provided strong structural, convergent, and divergent validity evidence for the 21-item, 7-factor SILS instrument. Implications for the measurement of implementation leadership in schools are discussed, as well as strategies to support leaders to enhance their strategic behaviors related to the implementation of mental health prevention programs (e.g., adaptation of existing leadership-focused implementation strategies).

Project description:BackgroundThe internet has become a major source of health information, and obtaining appropriate information requires various abilities and skills, labeled as electronic health literacy (eHealth literacy). The existing instruments for measuring eHealth literacy are outdated because they were developed during the Web 1.0 era, or not sufficiently sensitive for people with a specific condition or disease because they were designed to assess eHealth literacy over a broad range for a general population. Approximately one in ten adults worldwide live with diabetes. Health professionals have a responsibility to identify patients with low eHealth literacy to prevent them from obtaining misleading internet diabetes information.AimsThe aims were to develop a condition-specific eHealth literacy scale for diabetes and to evaluate its psychometric properties among people with type 2 diabetes.MethodsAn instrument development design was used. This study recruited 453 people diagnosed with type 2 diabetes at the outpatient clinics of hospitals in 2021. Psychometric properties (internal consistency, measurement invariance, and content, structural, convergent, and known-groups validities) were analyzed.ResultsAn expert panel assessed content validity. Exploratory factor analysis, exploratory graph analysis, and confirmatory factor analysis (CFA) for structural validity yielded a two-factor solution (CFI = 0.977, SRMR = 0.029, RMSEA = 0.077). Cronbach's alpha and omega values were excellent for each factor (0.87-0.94). Multigroup CFA yielded configural and metric measurement invariance across the gender, age, and glycemic control status groups. Convergent validity with a comparator instrument to measure health literacy was supported by a moderate correlation, and known-groups validity determined using groups with different internet-use frequencies was satisfied with a high effect size.ConclusionA new condition-specific eHealth literacy scale for people with type 2 diabetes was developed, comprising 10 items. The scale exhibited good psychometric properties; however, test-retest reliability must be determined for the stability of the scale and cross-cultural validity is required among different languages. The brief scale has the merits of being feasible to use in busy clinical practice and being less burdensome to respondents. The scale can be applied in clinical trials of internet-based diabetes interventions for assessing the eHealth literacy of respondents.

Project description:The rapid advancement of artificial intelligence (AI) has generated an increasing demand for tools that can assess public attitudes toward AI. This study proposes the development and the validation of the AI Attitude Scale (AIAS), a concise self-report instrument designed to evaluate public perceptions of AI technology. The first version of the AIAS that the present manuscript proposes comprises five items, including one reverse-scored item, which aims to gauge individuals' beliefs about AI's influence on their lives, careers, and humanity overall. The scale is designed to capture attitudes toward AI, focusing on the perceived utility and potential impact of technology on society and humanity. The psychometric properties of the scale were investigated using diverse samples in two separate studies. An exploratory factor analysis was initially conducted on a preliminary 5-item version of the scale. Such exploratory validation study revealed the need to divide the scale into two factors. While the results demonstrated satisfactory internal consistency for the overall scale and its correlation with related psychometric measures, separate analyses for each factor showed robust internal consistency for Factor 1 but insufficient internal consistency for Factor 2. As a result, a second version of the scale is developed and validated, omitting the item that displayed weak correlation with the remaining items in the questionnaire. The refined final 1-factor, 4-item AIAS demonstrated superior overall internal consistency compared to the initial 5-item scale and the proposed factors. Further confirmatory factor analyses, performed on a different sample of participants, confirmed that the 1-factor model (4-items) of the AIAS exhibited an adequate fit to the data, providing additional evidence for the scale's structural validity and generalizability across diverse populations. In conclusion, the analyses reported in this article suggest that the developed and validated 4-items AIAS can be a valuable instrument for researchers and professionals working on AI development who seek to understand and study users' general attitudes toward AI.

Project description:BackgroundAlong with the increasing prevalence of chronic illness has been an increase in interventions, such as nurse case management programs, to improve outcomes for patients with chronic illness. Evidence supports the effectiveness of such interventions in reducing patient morbidity, mortality, and resource utilization, but other studies have produced equivocal results. Often, little is known about how implementation of an intervention actually occurs in clinical practice. While studies often assume that interventions are used in clinical practice exactly as originally designed, this may not be the case. Thus, fidelity of an intervention's implementation reflects how an intervention is, or is not, used in clinical practice and is an important factor in understanding intervention effectiveness and in replicating the intervention in dissemination efforts. The purpose of this paper is to contribute to the understanding of implementation science by (a) proposing a methodology for measuring fidelity of implementation (FOI) and (b) testing the measure by examining the association between FOI and intervention effectiveness.MethodsWe define and measure FOI based on organizational members' level of commitment to using the distinct components that make up an intervention as they were designed. Semistructured interviews were conducted among 18 organizational members in four medical centers, and the interviews were analyzed qualitatively to assess three dimensions of commitment to use--satisfaction, consistency, and quality--and to develop an overall rating of FOI. Mixed methods were used to explore the association between FOI and intervention effectiveness (inpatient resource utilization and mortality).ResultsPredictive validity of the FOI measure was supported based on the statistical significance of FOI as a predictor of intervention effectiveness. The strongest relationship between FOI and intervention effectiveness was found when an alternative measure of FOI was utilized based on individual intervention components that had the greatest variation across medical centers.ConclusionsIn addition to contextual factors, implementation research needs to consider FOI as an important factor in influencing intervention effectiveness. Our proposed methodology offers a systematic means for understanding organizational members' use of distinct intervention components, assessing the reasons for variation in use across components and organizations, and evaluating the impact of FOI on intervention effectiveness.

Dataset Information

The Implementation Leadership Scale (ILS): development of a brief measure of unit level implementation leadership.

Background

Methods

Results

Conclusions

Publications

The Implementation Leadership Scale (ILS): development of a brief measure of unit level implementation leadership.

Similar Datasets

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