Dataset Information

New English and Spanish social health measures will facilitate evaluating health determinants.

ABSTRACT: To develop psychometrically sound, culturally relevant, and linguistically equivalent English and Spanish self-report measures of social health guided by a comprehensive conceptual model and applicable across chronic illnesses.The Patient-Reported Outcomes Measurement Information System (PROMIS) Social Health Workgroup implemented a mixed methods approach to evaluate earlier results (v1.0); expand and refine domain definitions and items; translate items into Spanish; and obtain qualitative feedback. Computer-based and paper/pencil questionnaire administration was conducted with a variety of U.S. respondent samples during 2009-2012. Analyses included exploratory factor analysis (EFA), confirmatory factor analysis (CFA), two-parameter logistic item response theory (IRT) modeling, evaluation of differential item functioning (DIF), and evaluation of criterion and construct validity.Qualitative feedback supported the conceptualization of the Social Health domain framework (Social Function and Social Relationships subcomponents). Validation testing participants (n = 2,208 English; n = 644 Spanish) were diverse in terms of gender, age, education, and ethnicity/race. EFA, CFA, and IRT identified 7 unidimensional factors with good model fit. There was no DIF by language, and good evidence of criterion and construct validity.PROMIS English and Spanish language instruments (v2.0), including computer-adaptive tests and fixed-length short forms, are publicly available for assessment of Social Function (Ability to Participate in Social Roles and Activities, and Satisfaction with Social Roles and Activities) and Social Relationships (Companionship; Emotional, Informational and Instrumental Support; and Social Isolation). Measures of social health will play a key role in applications that use ecologic (or determinants of health) models that emphasize how patients' social environments influence their health.

SUBMITTER: Hahn EA

PROVIDER: S-EPMC4159098 | biostudies-other | 2014 May

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

New English and Spanish social health measures will facilitate evaluating health determinants.

Hahn Elizabeth A EA DeWalt Darren A DA Bode Rita K RK Garcia Sofia F SF DeVellis Robert F RF Correia Helena H Cella David D

Health psychology : official journal of the Division of Health Psychology, American Psychological Association 20140120 5

<h4>Objective</h4>To develop psychometrically sound, culturally relevant, and linguistically equivalent English and Spanish self-report measures of social health guided by a comprehensive conceptual model and applicable across chronic illnesses.<h4>Methods</h4>The Patient-Reported Outcomes Measurement Information System (PROMIS) Social Health Workgroup implemented a mixed methods approach to evaluate earlier results (v1.0); expand and refine domain definitions and items; translate items into Spa ...[more]

PMID: 24447188

Similar Datasets

Project description:Purpose The purpose of this study was to examine the diagnostic accuracy of traditional measures of phonological ability developed for monolingual English-speaking children with their bilingual peers in both English and Spanish. We predicted that a composite measure, derived from a combination of English and Spanish phonological measures, would result in higher diagnostic accuracy than examining the individual phonological measures of bilingual children separately by language. Method Sixty-six children, ages 3;3-6;3 (years;months), participated in this study: 29 typically developing bilingual Spanish-English-speaking children (x = 5;3), five bilingual Spanish-English-speaking children with speech sound disorders (x = 4;6), 26 typically developing monolingual English-speaking children (x = 4;8), and six monolingual English-speaking children with speech sound disorders (x = 4;9). Children were recorded producing single words using the Assessments of English and Spanish Phonology, and productions were phonetically transcribed and analyzed using the Logical International Phonetics Program. Overall consonants correct-revised; accuracy of early-, middle-, and late-developing sounds; and percent occurrence of phonological error patterns in both English and Spanish were calculated. Receiver operating characteristic curves and support vector machine models were applied to observe diagnostic accuracy, separately and combined, for each speaker group and each language. Results Findings indicated the combination of measures improved diagnostic accuracy within both the English and Spanish of bilingual children and significantly increased accuracy when measures from both languages of bilingual children were combined. Combining measures for the productions of monolingual English-speaking children did not increase diagnostic accuracy. Conclusion To prevent misdiagnosis of speech sound disorders in bilingual preschoolers, the composite phonological abilities of bilingual children need to be assessed across both gross and discrete measures of phonological ability. Supplemental Material https://doi.org/10.23641/asha.16632604.

Project description:BackgroundNational Health Service (NHS) England supports social prescribing in order to address social determinants of health, which account for approximately 80% of all health outcomes. Nevertheless, data on ongoing social prescribing activities are lacking. Although NHS England has attempted to overcome this problem by recommending 3 standardized primary care codes, these codes do not capture the social prescribing activity to a level of granularity that would allow for fair attribution of outcomes to social prescribing.ObjectiveIn this study, we explored whether an alternative approach to coding social prescribing activity, specifically through a social prescribing ontology, can be used to capture the social prescriptions used in primary care in greater detail.MethodsThe social prescribing ontology, implemented according to the Web Ontology Language, was designed to cover several key concepts encompassing social determinants of health. Readv2 and Clinical Terms Version 3 codes were identified using the NHS Terms Browser. The Royal College of General Practitioners Research Surveillance Centre, a sentinel network of over 1000 primary care practices across England covering a population of more than 4,000,000 registered patients, was used for data analyses for a defined period (ie, January 2011 to December 2019).ResultsIn all, 668 codes capturing social prescriptions addressing different social determinants of health were identified for the social prescribing ontology. For the study period, social prescribing ontology codes were used 5,504,037 times by primary care practices of the Royal College of General Practitioners Research Surveillance Centre as compared to 29,606 instances of use of social prescribing codes, including NHS England's recommended codes.ConclusionsA social prescribing ontology provides a powerful alternative to the codes currently recommended by NHS England to capture detailed social prescribing activity in England. The more detailed information thus obtained will allow for explorations about whether outputs or outcomes of care delivery can be attributed to social prescriptions, which is essential for demonstrating the overall value that social prescribing can deliver to the NHS and health care systems.

Project description:IntroductionWhile strong associations exist between social determinants of health (SDOH), socioeconomic status, and smoking, these factors are not routinely assessed in tobacco treatment programs (TTP). This study addresses this gap by evaluating a composite metric of SDOH and a measure of access to care to determine program reach before and after the implementation of telehealth tobacco treatment delivery.Aims and methodsWe examined inpatient data from a large TTP during two comparable time periods from April 1, 2019 to September 30, 2019 (pre-telehealth) and from April 1, 2020 to September 30, 2020 (telehealth). The populations were compared using point-of-care data, including 5-digit zip codes mapped to the CDC's Social Vulnerability Index (SVI) and driving distance (in 60-min increments) to the study hospital. Chi-square tests for homogeneity were performed for SVI and driving distance comparisons.ResultsWhile distance distributions were significantly different between the pre-telehealth and telehealth populations (χ 2 = 13.5 (df = 3, N = 3234), p = .004, no significant differences existed in the proportion of SVI categories between the two populations (χ 2 = 5.8 (df = 3, N = 3234), p = .12). In the telehealth population, patients with the highest SVI vulnerability had the greatest proportions living >1 h from the hospital.ConclusionsThis study offers a novel evaluation of tobacco treatment in relation to an SDOH metric (SVI) and care access (distance to the hospital) for inpatient populations. Patient reach, including to those with high vulnerabilities, remained consistent in a transition to telehealth. These methods can inform future reach and engagement of patients who use tobacco products, including patients with high vulnerability or who reside at greater distances from treatment programs.ImplicationsThis study provides the first analysis of inpatient tobacco use treatment (TUT) transition to telehealth delivery of care during the COVID-19 pandemic using the CDC's SVI metric and patient distance to the hospital. The transition resulted in consistent reach to patients at the highest vulnerability. These findings can inform efforts to evaluate SDOH measures and improve reach, engagement, and research on telehealth delivery of inpatient TUT.

Dataset Information

New English and Spanish social health measures will facilitate evaluating health determinants.

Publications

New English and Spanish social health measures will facilitate evaluating health determinants.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets