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Objectives: To identify physician and practice characteristics associated with a physician's propensity to involve patients in diagnostic and treatment decisions, or participatory decision-making style.Design: A representative cross-sectional sample of patients participating in the Medical Outcomes Study characterized each physician's style by using a self-reported questionnaire. A single averaged style score was generated for each physician. Style scores were compared among physicians who differed in age, sex, minority status, specialty, primary care training or training in interviewing skills, satisfaction with professional autonomy, and practice volume.Settings: Solo practices, multispecialty groups, and health maintenance organizations in Boston, Chicago, and Los Angeles.Participants: 7730 patients sampled over 9 days from the practices of 300 physicians. Physicians were practicing general internal medicine, family medicine, cardiology, and endocrinology.Measurements: Participatory decision-making style was measured using a three-item scale on a questionnaire that was completed by patients after their office visit. Physician and practice characteristics were reported by physicians on self-administered questionnaires.Results: Among patients of physicians who were rated in the lowest (least participatory) quartile, one third changed physicians in the following year; among patients of physicians who were rated in the highest quartile, only 15% changed physicians. Higher scores were associated with greater patient satisfaction. Physicians who had had primary care training or training in interviewing skills scored higher than those without such training. Physicians in higher-volume practices were rated as less participatory than those in lower-volume practices. Physicians who were satisfied with their level of professional autonomy were rates as more participatory than those who were dissatisfied.Conclusion: Participatory decision-making style is influenced by physicians' background, training, practice volume, and professional autonomy. Because participatory decision-making style is related to patient satisfaction and loyalty to the physician, cost-containment strategies that reduce time with patients and decrease physician autonomy may result in suboptimal patient outcomes. [ABSTRACT FROM AUTHOR]

Objective: To evaluate a patient-reported participation measure constructed within the framework of the International Classification of Functioning, Disability, and Health.Design: The Participation Measure for Post-Acute Care (PM-PAC) contains 51 items that assess participation in nine domains: mobility; role functioning; community, social, and civic life; domestic life/self-care; economic life; interpersonal relationships; communication; work; and education. Self-reported data were collected by interview with 395 noninstitutionalized rehabilitation patients. Psychometric analyses were conducted to test assumptions underlying the scaling and scoring of PM-PAC scales and to evaluate reliability and validity.Results: In general, analyses supported assignment of items to hypothesized scales. However, the community, social, and civic life, interpersonal relationships, and communication domains were highly correlated. Item response theory models indicated that items were directed primarily at people with worse than average limitations in participation than the average patient in this rehabilitation sample. Test and retest scale scores did not differ significantly (intraclass correlation coefficient range, 0.61-0.86). Groups with more severe conditions scored worse on PM-PAC scales, as hypothesized.Conclusions: PM-PAC is a promising new measure of patient-reported participation as defined by the International Classification of Functioning, Disability, and Health. Information about PM-PAC items from this study will be useful in developing a computerized, adaptive measure of participation. [ABSTRACT FROM AUTHOR]

Objetivo. Establecer, con la Encuesta SF-36, un perfil multidimensional del estado de salud de una población del sureste de México y analizar las propiedades psicométricas de una traducción de la Encuesta SF-36 autorizada por el Proyecto Internacional de Evaluación de la Calidad de Vida. Material y métodos. La SF-36 se aplicó a 257 participantes voluntarios de una clínica médica y a un grupo control de una institución pública gubernamental. Se utilizó, sin modificar, la metodología de construcción de las escalas de salud propuestas por los autores de la encuesta. Se analizó psicométricamente la validez y la confiabilidad de la adaptación de la SF-36 para su uso en México. Resultados. Se construyeron ocho escalas o conceptos de salud relacionados con función física, rol físico, dolor corporal, salud general, vitalidad, función social, rol emocional y salud mental. En los participantes de los servicios médicos la escala con más bajo promedio fue la de salud general (63), y la más alta, la de rol físico (89). En la población control la escala con promedio más alto fue función física (94.6), y la más baja, salud general (73). La comparación de promedios de escalas en ambos grupos de participantes mostró diferencias estadísticamente significativas en función física, rol físico, dolor corporal, salud general y vitalidad. Conclusiones. Con base en los resultados de la evaluación psicométrica, la SF-36 muestra que es consistente con todos los supuestos de validez y confiabilidad en forma satisfactoria, aunque la traducción de ciertas preguntas se examinará en profundidad para determinar modificaciones subsecuentes.

Abstract Background The feasibility of using the SF-36 in non-Western cultures is important for researchers seeking to understand cultural influences upon health status perceptions. This paper reports on the performance of the Taiwan version of the SF-36, including the implications of cultural influences. Methods A total of 1191 volunteered subjects from the general population answered the translated SF-36 Taiwan version, which was developed following IQOLA project protocols. Results Results from tests of scaling assumptions and reliability generally were satisfactory. Convergent validity, as assessed by comparing the SF-36 to a mental health oriented inventory, was acceptable. Results of principal components analysis were similar to US results for many scales. However, differences were seen for the Vitality scale which was a stronger measure of mental health than physical health in Taiwan. Results are compared to those from other Asian studies and the U.S. Conclusion The results raise important questions regarding cultural influences in international studies of health status assessment. Further research into the conceptualization and components of mental health in Asian countries is warranted.

Background: Interpretation of health-related quality of life (QOL) outcomes requires improved methods to control for the effects of multiple chronic conditions (MCC). This study systematically compared legacy and improved method effects of aggregating MCC on the accuracy of predictions of QOL outcomes., Methods: Online surveys administered generic physical (PCS) and mental (MCS) QOL outcome measures, the Charlson Comorbidity Index (CCI), an expanded chronic condition checklist (CCC), and individualized QOL Disease-specific Impact Scale (QDIS) ratings in a developmental sample (N = 5490) of US adults. Controlling for sociodemographic variables, regression models compared 12- and 35-condition checklists, mortality vs. population QOL-weighting, and population vs. individualized QOL weighting methods. Analyses were cross-validated in an independent sample (N = 1220) representing the adult general population. Models compared estimates of variance explained (adjusted R 2 ) and model fit (AIC) for generic PCS and MCS across aggregation methods at baseline and nine-month follow-up., Results: In comparison with sociodemographic-only regression models (MCS R 2  = 0.08, PCS = 0.09) and Charlson CCI models (MCS R 2  = 0.12, PCS = 0.16), increased variance was accounted for using the 35-item CCC (MCS R 2  = 0.22, PCS = 0.31), population MCS/PCS QOL weighting (R 2  = 0.31-0.38, respectively) and individualized QDIS weighting (R 2  = 0.33 & 0.42). Model R 2 and fit were replicated upon cross-validation., Conclusions: Physical and mental outcomes were more accurately predicted using an expanded MCC checklist, population QOL rather than mortality CCI weighting, and individualized rather than population QOL weighting for each reported condition. The 3-min combination of CCC and QDIS ratings (QDIS-MCC) warrant further testing for purposes of predicting and interpreting QOL outcomes affected by MCC., (© 2022. The Author(s).)

Objective: The objective of this study was to develop the classification system for version of the SF-6D (SF-6Dv2) from the SF-36v2. SF-6Dv2 is an improved version of SF-6D, one of the most widely used generic measures of health for the calculation of quality-adjusted life years., Study Design and Setting: A 3-step process was undertaken to generate a new classification system: (1) factor analysis to establish dimensionality; (2) Rasch analysis to understand item performance; and (3) tests of differential item function. To evaluate robustness, Rasch analyses were performed in multiple subsets of 2 large cross-sectional datasets from recently discharged hospital patients and online patient samples., Results: On the basis of factor analysis, other psychometric evidence, cross-cultural considerations, and amenability to valuation, the 6-dimension classification used in SF-6D was maintained. SF-6Dv2 resulted in the following modifications to SF-6D: a simpler classification of physical function with clearer separation between levels; a more detailed 5-level description of role limitations; using negative wording to describe vitality; and using pain severity rather than pain interference., Conclusions: The SF-6Dv2 classification system describes more distinct levels of health than SF-6D, changes the descriptions used for a number of dimensions and provides clearer wording for health state valuation. The second stage of the study has developed a utility value set using discrete choice methods so that the measure can be used in health technology assessment. Further work should investigate the psychometric characteristics of the new instrument.

Background: Patient-reported outcome measures that are more practical and clinically useful are needed for patients with CKD. We compared a new CKD-specific quality-of-life impact scale (CKD-QOL) with currently used measures., Methods: Patients ( n =485) in different treatment groups (nondialysis stages 3-5, on dialysis, or post-transplant) completed the kidney-specific CKD-QOL and Kidney Disease Quality of Life-36 (KDQOL-36) forms and the generic SF-12 Health Survey at baseline and 3 months. New items summarizing quality of life (QOL) impact attributed to CKD across six QOL domains yielded single impact scores from a six-item static (fixed-length) form and from computerized adaptive tests (CATs) with three to six items. Validity tests compared the CKD-QOL, KDQOL-36 (Burden, Effects, and Symptoms/Problems subscales), and generic SF-12 measures across groups in four tests of clinical status and clinician assessment of change (CKD-specific tests), and number of comorbidities. ANOVA was used to test for group mean differences, variances in each measure explained by groups, and relative validity (RV) in comparison with the referent KDQOL-36 Burden subscale., Results: KDQOL-36 and CKD-QOL measures generally discriminated better than generic SF-12v2 measures. The pattern of variances across CKD-specific tests comparing validity favored CKD-QOL two-fold over KDQOL-36. Two RV test results confirmed CKD-QOL improvements over the referent KDQOL scale. Results for static and CAT CKD-QOL forms were similar. SF-12 Physical and KDQOL-36 Symptoms scores worsened with increasing comorbid condition counts., Conclusions: Overall, compared with the KDQOL-36, the new approach to summarizing CKD-specific QOL impact performed better across multiple tests of validity. CAT surveys were more efficient than static surveys., (Copyright © 2019 by the American Society of Nephrology.)

Little is known about how barriers to healthcare access affect health-related quality of life (HRQOL) after an acute coronary syndrome (ACS). In a large cohort of ACS survivors from 6 medical centers in Massachusetts and Georgia enrolled from 2011 to 2013, patients were classified as having any financial barriers, no usual source of care (USOC), or transportation barriers to healthcare based on their questionnaire survey responses. The principal study outcomes included clinically meaningful declines in generic physical and mental HRQOL and in disease-specific HRQOL from 1 to 6 months posthospital discharge. Adjusted relative risks (aRRs) for declines in HRQOL were calculated using Poisson regression models, controlling for several sociodemographic and clinical factors of prognostic importance. In 1,053 ACS survivors, 29.0% had a financial barrier, 14.2% had no USOC, and 8.7% had a transportation barrier. Patients with a financial barrier had greater risks of experiencing a decline in generic physical (aRR 1.48, 95% confidence interval [CI] 1.17, 1.86) and mental (aRR 1.36, 95% CI 1.07, 1.75) HRQOL at 6 months. Patients with 2 or more access barriers had greater risks of decline in generic physical (aRR 1.53, 95% CI 1.20, 1.93) and mental (aRR 1.50, 95% CI 1.17, 1.93) HRQOL compared with those without any healthcare barriers. There was a modest association between lacking a USOC and experiencing a decline in disease-specific HRQOL (aRR 1.46, 95% CI 0.96, 2.22). Financial and other barriers to healthcare access may be associated with clinically meaningful declines in HRQOL after hospital discharge for an ACS., (Copyright © 2018. Published by Elsevier Inc.)

Background: Patient activation comprises the knowledge, skills, and confidence for self-care and may lead to better health outcomes., Objectives: We examined the relationship between patient activation and changes in health-related quality of life (HRQOL) after hospitalization for an acute coronary syndrome (ACS)., Methods: We studied patients from 6 medical centers in central Massachusetts and Georgia who had been hospitalized for an ACS between 2011 and 2013. At 1 month after hospital discharge, the patients completed the 6-item Patient Activation Measure and were categorized into 4 levels of activation. Multinomial logistic regression analyses compared activation level with clinically meaningful changes (≥3.0 points, generic; ≥10.0 points, disease-specific) in generic physical (SF-36v2 Physical Component Summary [PCS]), generic mental (SF-36v2 Mental Component Summary [MCS]), and disease-specific (Seattle Angina Questionnaire [SAQ]) HRQOL from 1 to 3 and 1 to 6 months after hospitalization, adjusting for potential sociodemographic and clinical confounders., Results: The patients (N = 1042) were, on average, 62 years old, 34% female, and 87% non-Hispanic white. A total of 10% were in the lowest level of activation. The patients with the lowest activation had 1.95 times (95% confidence interval, 1.05-3.62) and 2.18 times (95% confidence interval, 1.17-4.05) the odds of experiencing clinically significant declines in MCS and SAQ HRQOL, respectively, between 1 and 6 months than the most activated patients. The patient activation level was not associated with meaningful changes in PCS scores., Conclusions: Hospital survivors of an ACS with lower activation may be more likely to experience declines in mental and disease-specific HRQOL than more-activated patients, identifying a group at risk of poor outcomes.

Objective: To evaluate validity and responsiveness of the Knee Injury and Osteoarthritis Outcome Score (KOOS) in relation to other patient-reported outcome measures before and after total knee replacement (TKR)., Methods: Pre-TKR and 6-month post-TKR data from 1,143 patients in a US joint replacement cohort were used to compare the KOOS, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the SF-36 Health Survey (SF-36). Validity was evaluated with multiple methods, including correlations of pre-TKR scale scores and analysis of variance models that used pre-TKR data to compare the relative validity of scales in discriminating between groups differing in assistive walking device use and number of comorbid conditions. Validity was also evaluated by using post-TKR minus pre-TKR change scores to assess relative validity of scales in discriminating between groups rating themselves as better, same, or worse (BSW) in their capability to do activities at 6 months. Responsiveness also was described using effect sizes and standardized response means., Results: In support of convergent and discriminant validity, KOOS scale scores were worse for patients using an assistive device but only declined weakly with increasing comorbid conditions. While all knee-specific scales discriminated between BSW groups, the KOOS quality of life (QOL) scale was significantly better (P < 0.05) than all measures except the SF-36 physical component summary. KOOS QOL also had the highest effect size, while SF-36 measures had lower effect sizes and standardized response means. KOOS pain and symptoms scales discriminated better than WOMAC pain and stiffness scales among BSW groups., Conclusion: KOOS scales were valid and responsive in this cohort of US TKR patients. KOOS QOL performed particularly well in capturing aggregate knee-specific outcomes., (© 2017, American College of Rheumatology.)

Background: Physical function (PF) is a core patient-reported outcome domain in clinical trials in rheumatic diseases. Frequently used PF measures have ceiling effects, leading to large sample size requirements and low sensitivity to change. In most of these instruments, the response category that indicates the highest PF level is the statement that one is able to perform a given physical activity without any limitations or difficulty. This study investigates whether using an item format with an extended response scale, allowing respondents to state that the performance of an activity is easy or very easy, increases the range of precise measurement of self-reported PF., Methods: Three five-item PF short forms were constructed from the Patient-Reported Outcomes Measurement Information System (PROMIS®) wave 1 data. All forms included the same physical activities but varied in item stem and response scale: format A ("Are you able to …"; "without any difficulty"/"unable to do"); format B ("Does your health now limit you …"; "not at all"/"cannot do"); format C ("How difficult is it for you to …"; "very easy"/"impossible"). Each short-form item was answered by 2217-2835 subjects. We evaluated unidimensionality and estimated a graded response model for the 15 short-form items and remaining 119 items of the PROMIS PF bank to compare item and test information for the short forms along the PF continuum. We then used simulated data for five groups with different PF levels to illustrate differences in scoring precision between the short forms using different item formats., Results: Sufficient unidimensionality of all short-form items and the original PF item bank was supported. Compared to formats A and B, format C increased the range of reliable measurement by about 0.5 standard deviations on the positive side of the PF continuum of the sample, provided more item information, and was more useful in distinguishing known groups with above-average functioning., Conclusions: Using an item format with an extended response scale is an efficient option to increase the measurement range of self-reported physical function without changing the content of the measure or affecting the latent construct of the instrument.