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Development and validation of a structured observation scale to measure responsiveness of physicians in rural Bangladesh.

ABSTRACT: Responsiveness of physicians is the social actions that physicians do to meet the legitimate expectations of service seekers. Since there is no such scale, this study aimed at developing one for measuring responsiveness of physicians in rural Bangladesh, by structured observation method.Data were collected from Khulna division of Bangladesh, through structured observation of 393 patient-consultations with physicians. The structured observation tool consisted of 64 items, with four Likert type response categories, each anchored with a defined scenario. Inter-rater reliability was assessed by same three raters observing 30 consultations. Data were analyzed by exploratory factor analysis (EFA), followed by assessment of internal consistency by ordinal alpha coefficient, inter-rater reliability by intra-class correlation coefficient (ICC), concurrent validity by correlating responsiveness score with waiting time, and known group validity by comparing public and private sector physicians.After removing items with more than 50% missing values, 45 items were considered for EFA. Parallel analysis suggested a 5-factor model. Nine items were removed from the list owing to?

SUBMITTER: Joarder T

PROVIDER: S-EPMC5697080 | biostudies-other | 2017 Nov

REPOSITORIES: biostudies-other

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Development and validation of a structured observation scale to measure responsiveness of physicians in rural Bangladesh.

Joarder Taufique T Mahmud Ilias I Sarker Malabika M George Asha A Rao Krishna Dipankar KD

BMC health services research 20171121 1

<h4>Background</h4>Responsiveness of physicians is the social actions that physicians do to meet the legitimate expectations of service seekers. Since there is no such scale, this study aimed at developing one for measuring responsiveness of physicians in rural Bangladesh, by structured observation method.<h4>Methods</h4>Data were collected from Khulna division of Bangladesh, through structured observation of 393 patient-consultations with physicians. The structured observation tool consisted of ...[more]

PMID: 29157242

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Project description:IntroductionThe aim of this study is to establish reliability and validity of the Diabetes Burnout Scale (DBS) among adults with type 1 diabetes (T1D).MethodsWe used a multi-stage, mixed methods approach to developing the DBS. First, the research team identified twenty-eight candidate items through a review of the literature and 117 qualitative narratives from adults living with T1D. Next, items were revised based on the expert (n = 20) and individual with T1D (n = 10) feedback. The resulting 18-item DBS measure along with validated measures of diabetes distress, depressive symptoms, and questions related to diabetes outcomes (i.e., last reported hemoglobin A1c [HbA1c] and Time-in-Range [TiR]) were completed by 1099 adults with T1D across the U.S. The sample was randomly divided into two subsets (n1 = 561, n2 = 538) for exploratory and confirmatory factor analyses (EFA/CFA) to determine the underlying structure of the DBS. Regression analyses examined the relationships of the DBS with self-reported glycemic control and socio-demographic characteristics.ResultsBased on the EFA three factors are identified and the DBS demonstrated strong internal consistency with Cronbach alphas (≥0.80). The validation and confirmatory analysis for the structure of the DBS provided consistent results with EFA. Higher burnout (overall DBS) was positively associated with diabetes distress (b = 0.74; p < 0.01) and depressive symptoms (b = 0.61; p < 0.01). Overall DBS, however was the strongest predictor for poorer HbA1c (r2 = 0.19; p < 0.01) and lower TiR (r2 = 0.17; p < 0.01) compared to diabetes distress and depressive symptoms.ConclusionThe 12-item DBS is a reliable and valid scale to measure diabetes burnout in adults with diabetes. The results provide a weak to strong degree of association between the validated DBS scale, T1-DDS and PHQ-8. The DBS can contribute to advancement of diabetes science by measuring diabetes burnout and informing clinical interventions to improve psychosocial care in individuals with diabetes.

Project description:BackgroundTo develop an individual's physical subhealth risk perception scale and evaluate its reliability and validity, so as to provide a measurement tool for individual physical health risk.MethodsA questionnaire on the perception risk of physical subhealth was developed. Using a random sampling method, 785 people in the Anhui provincial physical examination centre were selected as the research participants. Of the questionnaires returned, 770 were valid, giving an effective rate of 98%. Firstly, the Pearson correlation coefficient method was used to study the correlation of 35 items in the initial scale, and then, polychoric factor structure analysis was carried out by using the Pratt D matrix to optimize the item structure. The Cronbach'α coefficient method was used to test the internal consistency reliability, and a structural equation model was used to explore the construct validity of the scale. The discriminant validity of the scale was obtained by factor analysis. A general linear model was used to analyse the relationship between the clinical manifestations of physical subhealth and the level of risk perception, and the convergent validity of the scale was evaluated.ResultsAll the data of 35 items were significantly correlated at the 0.01 level. The correlation coefficients between a1 and a2, a3 and a4, b1 and b2, b2 and b3, c4 and c5, c5 and c6, c6 and c7, c8 and c9, d1 and d2, d2 and d3, e5 and e6, g1 and g2, g2 and g3, and g2 and g4 were greater than 0.6. The items with correlation coefficients greater than 0.6 were reduced by a Pratt D matrix. The resulting physical subhealth risk perception scale covers five factors with a total of 18 items. The Cronbach'α coefficient of the scale was 0.889, and the Cronbach'α coefficients of the five factors F1-F5 were 0.780, 0.825, 0.801, 0.736, and 0.704, respectively. Structural equation model analysis showed that χ 2/df = 3.43, p < 0.001, RMSEA = 0.08, GFI = 0.88, NFI = 0.84, AGFI = 0.84, and CFI = 0.88. Factor analysis showed that factors F1-F5 had significant correlations (p < 0.01), and the correlation coefficients were less than the corresponding square root value of AVE. Based on the subhealth clinical manifestations of the participants, the general linear model was used to explore the convergent validity of the scale, and the results indicated that the scale passed the convergent validity test.ConclusionsWe propose a physical subhealth risk perception scale amounting to 18 items, which includes five dimensions: health knowledge (2 items), risk perception (5 items), trust selection (4 items), information channel (4 items), and social groups (3 items). The reliability and validity of the physical subhealth risk perception scale are acceptable. Applying the scale into practice has potential to improve the overall public health level.

Project description:BACKGROUND:Good responsive functional outcome measures are important to measure change in stroke patients. The aim of study was to compare the internal and external responsiveness, floor and ceiling effects of the motor, cognition, and communication subscales of the Lucerne ICF-based Multidisciplinary Observation Scale (LIMOS) with the motor and cognition subscales of the Functional Independence Measure (FIM), and the Barthel Index (BI), in a large cohort of stroke patients. METHODS:One hundred eighteen stroke patients participated in this study. Admission and discharge score distributions of the LIMOS motor, LIMOS cognition and communication, FIM motor and FIM cognition, and BI were analyzed based on skewness and kurtosis. Floor and ceiling effects of the scales were determined. Internal responsiveness was assessed with t-tests, effect sizes (ESs), and standardized response means (SRMs). External responsiveness was investigated with linear regression analyses. RESULTS:The LIMOS motor and LIMOS cognition and communication subscales were more responsive, expressed by higher ESs (ES?=?0.65, SRM?=?1.17 and ES?=?0.52, SRM?=?1.17, respectively) as compared with FIM motor (ES?=?0.54, SRM?=?0.96) and FIM cognition (ES?=?0.41, SRM?=?0.88) and the BI (ES?=?0.41, SRM?=?0.65). The LIMOS subscales showed neither floor nor ceiling effects at admission and discharge (all <15%). In contrast, ceiling effects were found for the FIM motor (16%), FIM cognition (15%) at discharge and the BI at admission (22%) and discharge (43%). LIMOS motor and LIMOS cognition and communication subscales significantly correlated (p?<?0.0001) with a change in the FIM motor and FIM cognition subscales, suggesting good external responsiveness. CONCLUSION:We found that the LIMOS motor and LIMOS cognition and communication, which are ICF-based multidisciplinary standardized observation scales, might have the potential to better detect changes in functional outcome of stroke patients, compared with the FIM motor and FIM cognition and the BI.

Project description:Objective:To assess the extent to which maternal histories of newborn danger signs independently or combined with birth weight and/or gestational age (GA) can capture and/or predict postsecond day (age>48?hours) neonatal death. Methods:Data from a cluster-randomised trial conducted in rural Bangladesh were split into development and validation sets. The prompted recall of danger signs and birth weight measurements were collected within 48?hours postchildbirth. Maternally recalled danger signs included cyanosis (any part of the infant's body was blue at birth), non-cephalic presentation (part other than head came out first at birth), lethargy (weak or no arm/leg movement and/or cry at birth), trouble suckling (infant unable to suckle/feed normally in the 2?days after birth or before death, collected 1-month postpartum or from verbal autopsy). Last menstrual period was collected at maternal enrolment early in pregnancy. Singleton newborns surviving 2?days past childbirth were eligible for analysis. Prognostic multivariable models were developed and internally validated. Results:Recalling ?1?sign of lethargy, cyanosis, non-cephalic presentation or trouble suckling identified postsecond day neonatal death with 65.3% sensitivity, 60.8% specificity, 2.1% positive predictive value (PPV) and 99.3% negative predictive value (NPV) in the development set. Requiring either lethargy or weight <2.5 kg identified 89.1% of deaths (at 39.7% specificity, 1.9% PPV and 99.6% NPV) while lethargy or preterm birth (<37 weeks) captured 81.0% of deaths (at 53.6% specificity, 2.3% PPV and 99.5% NPV). A simplified model (birth weight, GA, lethargy, cyanosis, non-cephalic presentation and trouble suckling) predicted death with good discrimination (validation area under the receiver-operator characteristic curve (AUC) 0.80, 95%?CI 0.73 to 0.87). A further simplified model (GA, non-cephalic presentation, lethargy, trouble suckling) predicted death with moderate discrimination (validation AUC 0.74, 95%?CI 0.66 to 0.81). Conclusion:Maternally recalled danger signs, coupled to either birth weight or GA, can predict and capture postsecond day neonatal death with high discrimination and sensitivity.

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Development and validation of a structured observation scale to measure responsiveness of physicians in rural Bangladesh.

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Development and validation of a structured observation scale to measure responsiveness of physicians in rural Bangladesh.

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