scholarly journals Development and Psychometric Properties of Surveys to Assess Patient and Family Caregiver Experience With Care Transitions

2021 ◽  
Author(s):  
Joann Sorra ◽  
Katarzyna Zebrak ◽  
Deborah Carpenter ◽  
Theresa Famolaro ◽  
John Rauch ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Family Caregivers ◽  
Internal Consistency ◽  
Transitional Care ◽  
Care Delivery ◽  
Care Transitions ◽  
Sample Sizes ◽  
Composite Measures ◽  
At Home

Abstract Background The purpose of this study was to develop and administer surveys that assess patient and caregiver experience with care transitions and examine the psychometric properties of the surveys. The surveys were designed to include the transitional care services or components of care, provided in the hospital and at home, that matter most to patients and their family caregivers, as well as their assessments of the overall quality of the transitional care they received. Methods Patients were recruited prior to discharge from 43 U.S. hospitals. The analysis dataset included responses from 9,282 patients, 1,245 Time 1 caregivers (who helped the patient in the hospital), and 1,749 Time 2 caregivers (who helped the patient at home). The psychometric properties of the survey items and composite measures were examined for each of the three surveys, including (1) item response variability and missing data, (2) exploratory factor analysis, (3) internal consistency and site-level reliability, and (4) correlations among the outcome composite measures and with other survey items. Items that performed poorly across multiple analyses were dropped from the final instruments. Results Overall, the final patient and caregiver surveys had acceptable psychometric properties, with a few exceptions. Exploratory factor analyses supported the composite measures, which had acceptable internal consistency reliability—Overall Quality of Transitional Care (patient and caregiver surveys), Patient Overall Health (patient survey) and Caregiver Effort/Stress (caregiver surveys). All surveys had acceptable site-level reliability except when the sample sizes needed to achieve 0.70 site-level reliability were higher than the actual sample sizes in the dataset. In all surveys, the Overall Quality of Transitional Care composite measure was significantly correlated with other composite measures and most of the survey items. Conclusions The final patient, T1 caregiver, and T2 caregiver surveys are psychometrically sounds and can be used by health systems, hospitals, and researchers to assess patient and caregiver experience with care transitions. Results from these surveys can be used as the basis for making improvements to transitional care delivery that are centered on what matters most to patients and their family caregivers.

scholarly journals Development and psychometric properties of surveys to assess patient and family caregiver experience with care transitions

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Joann Sorra ◽  
Katarzyna Zebrak ◽  
Deborah Carpenter ◽  
Theresa Famolaro ◽  
John Rauch ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Family Caregiver ◽  
Transitional Care ◽  
Care Transitions ◽  
Internal Consistency Reliability ◽  
Patient Survey ◽  
Care Patient ◽  
Composite Measures ◽  
Stay Time

Abstract Background The purpose of this study was to develop and administer surveys that assess patient and family caregiver experiences with care transitions and examine the psychometric properties of the surveys. The surveys were designed to ask about 1) the transitional care services that matter most to patients and their caregivers and 2) care outcomes, including the overall quality of transitional care they received, patient self-reported health, and caregiver effort/stress. Methods Survey items were developed based on a review of the literature, existing surveys, focus groups, site visits, stakeholder and expert input, and patient and caregiver cognitive interviews. We administered mail surveys with telephone follow up to patients recently discharged from 43 U.S. hospitals. Patients identified the caregivers who helped them during their hospital stay (Time 1 caregiver) and when they were home (Time 2 caregiver). Time 1 and Time 2 caregivers were surveyed by telephone only. The psychometric properties of the survey items and outcome composite measures were examined for each of the three surveys. Items that performed poorly across multiple analyses, including those with low variability and/or a high missing data, were dropped except when they were conceptually important. Results The analysis datasets included responses from 9282 patients, 1245 Time 1 caregivers and 1749 Time 2 caregivers. The construct validity of the three proposed outcome composite measures—Overall Quality of Transitional Care (patient and caregiver surveys), Patient Overall Health (patient survey) and Caregiver Effort/Stress (caregiver surveys) —was supported by acceptable exploratory factor analysis results and acceptable internal consistency reliability. Site-level reliability was acceptable for the two patient outcome composite measures, but was low for Caregiver Effort/Stress (< 0.70). In all surveys, the Overall Quality of Transitional Care outcome composite measure was significantly correlated with other outcome composite measures and most of the single-item measures. Conclusions Overall, the final patient and caregiver surveys are psychometrically sound and can be used by health systems, hospitals, and researchers to assess the quality of care transitions and related outcomes. Results from these surveys can be used to improve care transitions, focusing on what matters most to patients and their family caregivers.

scholarly journals Development and psychometric properties of surveys to assess provider perspectives on the barriers and facilitators of effective care transitions

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maurice C. Johnson ◽  
Helen Liu ◽  
Joann Sorra ◽  
Jane Brock ◽  
Brianna Gass ◽  
...  
Keyword(s):  
Patient Care ◽  
Psychometric Properties ◽  
Transitional Care ◽  
Care Transitions ◽  
Model Fit ◽  
Fit Indices ◽  
Pilot Testing ◽  
Composite Measures ◽  
Effective Care

Abstract Background The quality of the discharge process and effective care transitions between settings of care are critical to minimize gaps in patient care and reduce hospital readmissions. Few studies have explored which care transition components and strategies are most valuable to patients and providers. This study describes the development, pilot testing, and psychometric analysis of surveys designed to gain providers’ perspectives on current practices in delivering transitional care services. Methods We underwent a comprehensive process to develop items measuring unique aspects of care transitions from the perspectives of the three types of providers (downstream, ambulatory, and hospital providers). The process involved 1) an environmental scan, 2) provider interviews, 3) survey cognitive testing, 4) pilot testing, 5) a Stakeholder Advisory Group, 6) a Scientific Advisory Council, and 7) a collaborative Project ACHIEVE (Achieving Patient-Centered Care and Optimized Health in Care Transitions by Evaluating the Value of Evidence) research team. Three surveys were developed and fielded to providers affiliated with 43 hospitals participating in Project ACHIEVE. Web-based survey administration resulted in 948 provider respondents. We assessed response variability and response missingness. To evaluate the composites’ psychometric properties, we examined intercorrelations of survey items, item factor loadings, model fit indices, internal consistency reliability, and intercorrelations between the composite measures and overall rating items. Results Results from psychometric analyses of the three surveys provided support for five composite measures: 1) Effort in Coordinating Patient Care, 2) Quality of Patient Information Received, 3) Organizational Support for Transitional Care, 4) Access to Community Resources, and 5) Strength of Relationships Among Community Providers. All factor loadings and reliability estimates were acceptable (loadings ≥ 0.40, α ≥ 0.70), and the fit indices showed a good model fit. All composite measures positively and significantly correlated with the overall ratings (0.13 ≤ r ≤ 0.71). Conclusions We determined that the items and composite measures assessing the barriers and facilitators to care transitions within this survey are reliable and demonstrate satisfactory psychometric properties. The instruments may be useful to healthcare organizations and researchers to assess the quality of care transitions and target areas of improvement across different provider settings.

The Stigma of Suicide Scale

Crisis ◽  
2013 ◽  
Vol 34 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Philip J. Batterham ◽  
Alison L. Calear ◽  
Helen Christensen
Keyword(s):  
Construct Validity ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Internal Consistency ◽  
Concurrent Validity ◽  
Online Survey ◽  
National University ◽  
Stigmatizing Attitudes ◽  
High Internal Consistency ◽  
At Home

Background: There are presently no validated scales to adequately measure the stigma of suicide in the community. The Stigma of Suicide Scale (SOSS) is a new scale containing 58 descriptors of a “typical” person who completes suicide. Aims: To validate the SOSS as a tool for assessing stigma toward suicide, to examine the scale’s factor structure, and to assess correlates of stigmatizing attitudes. Method: In March 2010, 676 staff and students at the Australian National University completed the scale in an online survey. The construct validity of the SOSS was assessed by comparing its factors with factors extracted from the Suicide Opinion Questionnaire (SOQ). Results: Three factors were identified: stigma, isolation/depression, and glorification/normalization. Each factor had high internal consistency and strong concurrent validity with the Suicide Opinion Questionnaire. More than 25% of respondents agreed that people who suicided were “weak,” “reckless,” or “selfish.” Respondents who were female, who had a psychology degree, or who spoke only English at home were less stigmatizing. A 16-item version of the scale also demonstrated robust psychometric properties. Conclusions: The SOSS is the first attitudes scale designed to directly measure the stigma of suicide in the community. Results suggest that psychoeducation may successfully reduce stigma.

Assessing Social Skills in Health Professional Services

2005 ◽  
Vol 21 (3) ◽  
pp. 173-181
Author(s):  
Francisco Gil ◽  
Jesús Sanz ◽  
María Paz García-Vera ◽  
José M. León ◽  
Silvia Medina ◽  
...  
Keyword(s):  
Social Skills ◽  
Health Services ◽  
Health Professional ◽  
Aggressive Behavior ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Intervention Program ◽  
Professional Services ◽  
Quality Of Health Services

Abstract. The quality of health services depends on the contribution of all the professionals involved in the system, including certain groups, usually forgotten and underrated, such as the health-transport technicians (HTT). With the aim of improving this group's performance, an intervention program, focusing on the development of the workers' technical and social skills, was designed in a collective of enterprises. Information about the first stage of this program, consisting of the assessment of these workers' social skills, is offered in this study. A specific questionnaire was developed: The Health-Transport Technicians Social Skills Questionnaire (HTT-SSQ), made up of three scales (assertive, passive, and aggressive behavior). It was administered to a large sample (N = 530) from the above-mentioned association. The psychometric properties of the questionnaire were analyzed, with quite satisfactory indexes of internal consistency and factor validity, and the group's deficiencies (excess or deficit) were evaluated.

scholarly journals 459 - Psychometric properties of the Geriatric Anxiety Inventory : A systematic review

2020 ◽  
Vol 32 (S1) ◽  
pp. 180-180
Author(s):  
Philippe Landreville ◽  
Alexandra Champagne ◽  
Patrick Gosselin
Keyword(s):  
Systematic Review ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Methodological Quality ◽  
The Body ◽  
Self Report ◽  
Test Reliability ◽  
Cosmin Checklist ◽  
Validity Indices

Background.The Geriatric Anxiety Inventory (GAI) is a widely used self-report measure of anxiety symptoms in older adults. Much research has been conducted on the psychometric properties of the GAI in various populations and using different language versions. Previous reviews of this literature have examined only a small proportion of studies in light of the body of research currently available and have not evaluated the methodological quality of this research. We conducted a systematic review of the psychometric properties of the GAI.Method.Relevant studies (N = 30) were retrieved through a search of electronic databases (Pubmed, PsycINFO, CINAHL, EMBASE and Google Scholar) and a hand search. The methodological quality of the included studies was assessed by two independent reviewers using the ‘‘COnsensusbased Standards for the selection of health status Measurement INstruments’’ (COSMIN) checklist.Results.Based on the COSMIN checklist, internal consistency and test reliability were mostly rated as poorly assessed (62.1% and 70% of studies, respectively) and quality of studies examining structural validity was mostly fair (60% of studies). The GAI showed adequate internal consistency and test-retest reliability. Convergent validity indices were highest with measures of generalized anxiety and lowest with instruments that include somatic symptoms. A substantial overlap with measures of depression was reported. While there was no consensus on the factorial structure of the GAI, several studies found it to be unidimensional.Conclusions.The GAI presents satisfactory psychometric properties. However, future efforts should aim to achieve a higher degree of methodological quality.

scholarly journals Measuring perceived adequacy of staffing to incorporate nurses’ judgement into hospital capacity management: a scoping review

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e045245
Author(s):  
Carmen J E M van der Mark ◽  
Hester Vermeulen ◽  
Paul H J Hendriks ◽  
Catharina J van Oostveen
Keyword(s):  
Psychometric Properties ◽  
Scoping Review ◽  
Care Delivery ◽  
Hospital Setting ◽  
Workforce Planning ◽  
Nurse Staffing ◽  
Measurement Instruments ◽  
Health Measurement ◽  
Factors Influencing

BackgroundMatching demand and supply in nursing work continues to generate debate. Current approaches focus on objective measures, such as nurses per occupied bed or patient classification. However, staff numbers do not tell the whole staffing story. The subjective measure of nurses’ perceived adequacy of staffing (PAS) has the potential to enhance nurse staffing methods in a way that goes beyond traditional workload measurement or workforce planning methods.ObjectivesTo detect outcomes associated with nurses’ PAS and the factors that influence PAS and to review the psychometric properties of instruments used to measure PAS in a hospital setting.Design and methodsA scoping review was performed to identify outcomes associated with PAS, factors influencing PAS and instruments measuring PAS. A search of PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Business Source Complete and Embase databases identified 2609 potentially relevant articles. Data were independently extracted, analysed and synthesised. The quality of studies describing influencing factors or outcomes of PAS and psychometric properties of instruments measuring PAS were assessed following the National Institute for Health and Care Excellence quality appraisal checklist and the COnsensus-based Standards for the selection of health Measurement INstruments guidelines.ResultsSixty-three studies were included, describing 60 outcomes of PAS, 79 factors influencing PAS and 21 instruments measuring PAS. In general, positive PAS was related to positive outcomes for the patient, nurse and organisation, supporting the relevance of PAS as a staffing measure. We identified a variety of factors that influence PAS, including demand for care, nurse supply and organisation of care delivery. Associations between these factors and PAS were inconsistent. The quality of studies investigating the development and evaluation of instruments measuring PAS was moderate.ConclusionsMeasuring the PAS may enhance nurse staffing methods in a hospital setting. Further work is needed to refine and psychometrically evaluate instruments for measuring PAS.

Norway

2019 ◽  
pp. 211-218
Author(s):  
Knut Engedal
Keyword(s):  
Quality Of Life ◽  
Health Services ◽  
Welfare State ◽  
Family Caregivers ◽  
Residential Care ◽  
Healthcare Professionals ◽  
Tax System ◽  
People With Dementia ◽  
At Home

Norway has 5 million inhabitants, of whom 200,000 are aged above 80 years. The country is a welfare state, with a tax system covering most health services for its citizens. It is estimated that 78,000 people in Norway suffer from dementia, of whom 60% live at home and the remainder in residential care. In 2007, the first National Dementia Plan was launched (2007–2015), and the second in 2016 (2016–2020). The main goals of the two Plans are to develop services across the country to improve the care and quality of life for all people with dementia and their family caregivers, as well as increase the knowledge of dementia among healthcare professionals. In addition, the Plans also aim to improve awareness of dementia in society as a whole and to develop and implement measures to help create a more dementia-friendly society.

scholarly journals Depression and quality of life in family caregivers of individuals with psychiatric illness

2019 ◽  
Vol 6 (2) ◽  
pp. 715
Author(s):  
Aarti . ◽  
Ruchika . ◽  
Rajesh Kumar ◽  
Arun Varghese
Keyword(s):  
Quality Of Life ◽  
Family Caregivers ◽  
Psychiatric Illness ◽  
Care Delivery ◽  
Psychiatric Rehabilitation ◽  
Severe Depression ◽  
Further Education ◽  
World Health ◽  
World Health Organization Quality

Background: Psychiatric illnesses are mushrooming more than any physical illness. Change in health care delivery system emphases the need of family caregivers. Providing care for a psychiatric patient is demanding and challenging task leads psychosocial distress and negative impacts in quality of life. The study aims to determine depression, quality of life and their association with sociodemographic variables of family caregivers.Methods: Sample consisted 150 family caregivers of individual with psychiatric illness seeking psychiatric outpatient department services. Physical health questionnaire (PHQ-9) and World Health Organization quality of life –BREF (WHOQoL-BREF) was used to ascertain information on depression and quality of life. A relevant descriptive and inferential statistics was applied to compute results.Results: Findings exhibit that environmental quality of life domain was severely affected in caregivers. Further, 24% caregivers reported symptoms of moderate-severe depression. Occupation of caregiver found significant association with physical (p=0.001), psychological (p=0.001), social (p=0.016) and environmental (p=0.001) domain of QoL. Support from society also expressed significant association with psychological (p=0.001), social (p=0.007) and environmental (p=0.044) domain of QoL. Further, education of the caregiver shows significant association with physical (p=0.000), psychological (p=0.000), social (p=0.002) and environmental (p=0.000) domain of QoL.Conclusions: Findings of the study sensitize policy makers and administrators to consider the need based psychiatric rehabilitation and implement it to reduce psychological distress and improve the quality of life of caregivers.

scholarly journals Measuring implementation outcomes: An updated systematic review of measures’ psychometric properties

2020 ◽  
Vol 1 ◽  
pp. 263348952093664 ◽  
Author(s):  
Kayne Mettert ◽  
Cara Lewis ◽  
Caitlin Dorsey ◽  
Heather Halko ◽  
Bryan Weiner
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Psychometric Properties ◽  
Behavioral Health ◽  
Internal Consistency ◽  
Behavioral Health Care ◽  
Research And Practice ◽  
Implementation Outcomes ◽  
New Treatment

Background: Systematic reviews of measures can facilitate advances in implementation research and practice by locating reliable and valid measures and highlighting measurement gaps. Our team completed a systematic review of implementation outcome measures published in 2015 that indicated a severe measurement gap in the field. Now, we offer an update with this enhanced systematic review to identify and evaluate the psychometric properties of measures of eight implementation outcomes used in behavioral health care. Methods: The systematic review methodology is described in detail in a previously published protocol paper and summarized here. The review proceeded in three phases. Phase I, data collection, involved search string generation, title and abstract screening, full text review, construct assignment, and measure forward searches. Phase II, data extraction, involved coding psychometric information. Phase III, data analysis, involved two trained specialists independently rating each measure using PAPERS (Psychometric And Pragmatic Evidence Rating Scales). Results: Searches identified 150 outcomes measures of which 48 were deemed unsuitable for rating and thus excluded, leaving 102 measures for review. We identified measures of acceptability ( N = 32), adoption ( N = 26), appropriateness ( N = 6), cost ( N = 31), feasibility ( N = 18), fidelity ( N = 18), penetration ( N = 23), and sustainability ( N = 14). Information about internal consistency and norms were available for most measures (59%). Information about other psychometric properties was often not available. Ratings for internal consistency and norms ranged from “adequate” to “excellent.” Ratings for other psychometric properties ranged mostly from “poor” to “good.” Conclusion: While measures of implementation outcomes used in behavioral health care (including mental health, substance use, and other addictive behaviors) are unevenly distributed and exhibit mostly unknown psychometric quality, the data reported in this article show an overall improvement in availability of psychometric information. This review identified a few promising measures, but targeted efforts are needed to systematically develop and test measures that are useful for both research and practice. Plain language abstract: When implementing an evidence-based treatment into practice, it is important to assess several outcomes to gauge how effectively it is being implemented. Outcomes such as acceptability, feasibility, and appropriateness may offer insight into why providers do not adopt a new treatment. Similarly, outcomes such as fidelity and penetration may provide important context for why a new treatment did not achieve desired effects. It is important that methods to measure these outcomes are accurate and consistent. Without accurate and consistent measurement, high-quality evaluations cannot be conducted. This systematic review of published studies sought to identify questionnaires (referred to as measures) that ask staff at various levels (e.g., providers, supervisors) questions related to implementation outcomes, and to evaluate the quality of these measures. We identified 150 measures and rated the quality of their evidence with the goal of recommending the best measures for future use. Our findings suggest that a great deal of work is needed to generate evidence for existing measures or build new measures to achieve confidence in our implementation evaluations.

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