Dataset Information

Psychometric assessment of the US person-centered prenatal and maternity care scales in a low-income predominantly Latinx population in California.

ABSTRACT:

Objectives

To assess psychometric properties of two scales developed to measure the quality of person-centered care during pregnancy and childbirth in the United States-the Person-Centered Prenatal Care (PCPC-US) and Person-Centered Maternity Care (PCMC-US) scales-in a low-income predominantly Latinx population in California.

Methods

Data were collected from July 2020 to June 2023 from surveys of low-income pregnant and birthing people in Fresno, California, participating in the "Engaging Mothers and Babies; Reimagining Antenatal Care for Everyone" (EMBRACE) trial. Research staff administered the 26-item PCPC-US scale at 30-34 weeks' gestation (n = 315) and the 35-item PCMC-US scale at 10-14 weeks after birth (n = 286), using the language preferred by the participant (English or Spanish). We assessed construct, criterion, and known group validity and internal consistency of the scales.

Results

78% of respondents identified as Latinx. Factor analysis identified one dominant factor for each scale that accounted for over 60% of the cumulative variance, with most items loading at > 0.3. The items also loaded adequately on sub-scales for "dignity and respect," "communication and autonomy," and "responsive and supportive care." Cronbach's alpha for the full scales were > 0.9 and between 0.70 and 0.87 for the sub-scales. Summative scores range from 0 to 100, with higher scores indicating higher person-centered care. Correlations with scores on scales measuring prenatal care quality and birth experience provided evidence for criterion validity, while associations with known predictors provided evidence for known-group validity.

Conclusions

The PCPC-US and PCMC-US scales, which were developed using a community-engaged process and found to have good psychometric properties in a largely high-income sample of Black women, were shown to also have good psychometric properties in a sample of low-income primarily Latinx women. Both scales provide valid and reliable tools to measure person-centered care experiences among minoritized communities to support efforts to reduce existing birth inequities.

SUBMITTER: Afulani PA

PROVIDER: S-EPMC10656820 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature

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Publications

Psychometric assessment of the US person-centered prenatal and maternity care scales in a low-income predominantly Latinx population in California.

Afulani Patience A PA Coleman-Phox Kimberly K Leon-Martinez Daisy D Fung Kathy Z KZ Martinez Erica E Garza Mary A MA McCulloch Charles E CE Kuppermann Miriam M

BMC women's health 20231117 1

<h4>Objectives</h4>To assess psychometric properties of two scales developed to measure the quality of person-centered care during pregnancy and childbirth in the United States-the Person-Centered Prenatal Care (PCPC-US) and Person-Centered Maternity Care (PCMC-US) scales-in a low-income predominantly Latinx population in California.<h4>Methods</h4>Data were collected from July 2020 to June 2023 from surveys of low-income pregnant and birthing people in Fresno, California, participating in the " ...[more]

PMID: 37978490

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Project description:IntroductionPeri-urban settings have high maternal mortality and the quality of care received in different types of health facilities is varied. Yet few studies have explored the construct of person-centered maternity care (PCMC) within peri-urban settings. Understanding women's experience of maternity care in peri-urban settings will allow health facility managers and policy makers to improve services in these settings. This study examines factors associated with PCMC in a peri-urban setting in Kenya.Methods and materialsWe analyzed data from a cross-sectional study with 307 women aged 18-49 years who had delivered a baby within the preceding six weeks. Women were recruited from public (n = 118), private (n = 76), and faith based (n = 113) health facilities. We measured PCMC using the 30-item validated PCMC scale which evaluates women's experiences of dignified and respectful care, supportive care, and communication and autonomy. Factors associated with PCMC were evaluated using multilevel models, with women nested within facilities.ResultsThe average PCMC score was 58.2 (SD = 13.66) out of 90. Controlling for other factors, literate women had, on average, about 6-point higher PCMC scores than women who were not literate (β = 5.758, p = 0.006). Women whose first antenatal care (ANC) visit was in the second (β = -5.030, p = 0.006) and third trimester (β = -7.288, p = 0.003) had lower PCMC scores than those whose first ANC were in the first trimester. Women who were assisted by an unskilled attendant or an auxiliary nurse/midwife at birth had lower PCMC than those assisted by a nurse, midwife or clinical officer (β = -8.962, p = 0.016). Women who were interviewed by phone (β = -7.535, p = 0.006) had lower PCMC scores than those interviewed in person.ConclusionsFactors associated with PCMC include literacy, ANC timing and duration, and delivery provider. There is a need to improve PCMC in these settings as part of broader quality improvement activities to improve maternal and neonatal health.

Project description:BackgroundWomen's childbirth experience of interpersonal care is a significant aspect of quality of care. Due to the lack of a reliable Cambodian version of a measurement tool to assess person-centered maternity care, the present study aimed to adapt the "Person-Centered Maternity Care (PCMC) scale" to the Cambodian context and further determine its psychometric properties.MethodsThe PCMC scale was translated into Khmer using the team translation approach. The Khmer version of PCMC (Kh-PCMC) scale was pretested among 20 Cambodian postpartum women using cognitive interviewing. Subsequently, the Kh-PCMC scale was administered in a survey with 300 Cambodian postpartum women at two governmental health facilities. According to the COnsensus-based Standards for the Selection of health status Measurement Instruments (COSMIN) standard, we performed psychometric analysis, including content validity, construct validity, criterion validity, cross-cultural validity, and internal consistency.ResultsThe preliminary processes of Kh-PCMC scale development including cognitive interviewing and expert review ensured appropriate levels of content validity and acceptable levels of cross-cultural validity of the Kh-PCMC scale with four-point frequency responses. The Scale-level Content Validity Index, Average (S-CVI/Avg) of 30-item Kh-PCMC scale was 0.96. Twenty items, however, performed optimally in the psychometric analysis from the data in Cambodia. The 20-item Kh-PCMC scale produced Cronbach's alpha of 0.86 for the full scale and 0.76-0.91 for the subscales, indicating adequately high internal consistency. Hypothesis testing found positive correlations between the 20-item Kh-PCMC scale and reference measures, which implies acceptable criterion validity.ConclusionsThe present study produced the Kh-PCMC scale that enables women's childbirth experiences to be quantitatively measured. The Kh-PCMC scale can identify intrapartum needs from women's perspectives for quality improvement in Cambodia. However, dynamic changes in and diverse differences of cultural context over time across provinces in Cambodia require the Kh-PCMC scale to be regularly reexamined and, when needed, to be further adjusted.

Project description:BackgroundPerson-centered maternity care (PCMC) has become a priority in the global health discourse on quality of care due to the high prevalence of disrespectful and lack of responsive care during facility-based childbirth. Although PCMC is generally sub-optimal, there are significant disparities. On average, women of low socioeconomic status (SES) tend to receive poorer PCMC than women of higher SES. Yet few studies have explored factors underlying these inequities. In this study, we examined provider implicit and explicit biases that could lead to inequitable PCMC based on SES.MethodsData are from a cross-sectional survey with 150 providers recruited from 19 health facilities in the Upper East region of Ghana from October 2020 to January 2021. Explicit SES bias was assessed using situationally-specific vignettes (low SES and high SES characteristics) on providers' perceptions of women's expectations, attitudes, and behaviors. Implicit SES bias was assessed using an Implicit Association Test (IAT) that measures associations between women's SES characteristics and providers' perceptions of women as 'difficult' or 'good'. Analysis included descriptive statistics, mixed-model ANOVA, and bivariate and multivariate linear regression.ResultsThe average explicit bias score was 18.1 out of 28 (SD = 3.60) for the low SES woman vignette and 16.9 out of 28 (SD = 3.15) for the high SES woman vignette (p < 0.001), suggesting stronger negative explicit bias towards the lower SES woman. These biases manifested in higher agreement to statements such as the low SES woman in the vignette is not likely to expect providers to introduce themselves and is not likely to understand explanations. The average IAT score was 0.71 (SD = 0.43), indicating a significant bias in associating positive characteristics with high SES women and negative characteristics with low SES women. Providers with higher education had significantly lower explicit bias scores on the low SES vignette than those with less education. Providers in private facilities had higher IAT scores than those in government hospitals.ConclusionsThe findings provide evidence of both implicit and explicit SES bias among maternity providers. These biases need to be addressed in interventions to achieve equity in PCMC and to improve PCMC for all women.

Project description:ObjectiveTo determine the psychometric properties of the Person-Centered Therapeutic Relationship in Physiotherapy Scale (PCTR-PT) in order to find the most appropriate fit for the tool.MethodsPatients who had received treatment at the physiotherapy service of nine hospitals in Spain were invited to complete the 31 items of the PCTR-PT scale. To select the most appropriate items of the PCTR-PT, an exploratory factorial analysis (EFA) was performed using the maximum likelihood and oblique rotation (promin) methods. Factor validity, goodness-of-fit and psychometric properties were analyzed by confirmatory factor analysis (CFA). Convergent (CFA) and discriminant validity were calculated. Internal consistency was verified using the Cronbach's alpha coefficient. The intraclass correlation coefficient (ICC) was used to examine temporal stability.Results366 patients over 18 years old who had received, at least, 15 physiotherapy treatment sessions completed the questionnaire. The results of the exploratory factor analysis revealed a tool with 15 items in four factors [Relational Bond (N items = 4); Individualized Partnership (N items = 4); Professional Empowerment (N items = 3) and Therapeutic Communication (N items = 4)], explaining 78.4% of the variance of the total variables of this tool. The confirmatory factor analysis further confirmed the four-structure model. Reliability of the tool was approved by Cronbach's alpha in all four dimensions, as all were above .70, ranging from .84 (Individualized Partnership) to .91 (Professional Empowerment). = 0.94. Test-retest was performed with two-week intervals, indicating an appropriate stability for the scale (ICC = 0.900).ConclusionThe Person-Centered Therapeutic Relationship in Physiotherapy Scale (PCTR-PT) is a useful, valid and applicable instrument to evaluate the person-centered therapeutic relationship during physiotherapy interventions. It would be interesting to investigate the predictive capacity (sensitivity and specificity) of the PCTR-PT scale.

Project description:BACKGROUND:Low use of maternal health services, as well as poor quality care, contribute to the high maternal mortality in sub-Saharan Africa (SSA). In particular, poor person-centered maternity care (PCMC), which captures user experience, contributes both directly to pregnancy outcomes and indirectly through decreased demand for services. While many studies have examined disparities in use of maternal health services, few have examined disparities in quality of care, and none to our knowledge has empirically examined disparities in PCMC in SSA. The aim of this study is to examine factors associated with PCMC, particularly the role of household wealth, personal empowerment, and type of facility. METHODS:Data are from a survey conducted in western Kenya in 2016, with women aged 15 to 49 years who delivered in the 9 weeks preceding the survey (N = 877). PCMC is operationalized as a summative score based on responses to 30 items in the PCMC scale capturing dignity and respect, communication and autonomy, and supportive care. RESULTS:We find that net of other factors; wealthier, employed, literate, and married women report higher PCMC than poorer, unemployed, illiterate, and unmarried women respectively. Also, women who have experienced domestic violence report lower PCMC than those who have never experienced domestic violence. In addition, women who delivered in health centers and private facilities reported higher PCMC than those who delivered in public hospitals. The effect of employment and facility type is conditional on wealth, and is strongest for the poorest women. Poor women who are unemployed and poor women who deliver in higher-level facilities receive the lowest quality PCMC. CONCLUSIONS:The findings imply the most disadvantaged women receive the lowest quality PCMC, especially when they seek care in higher-level facilities. Interventions to reduce disparities in PCMC are essential to improve maternal outcomes among disadvantaged groups.

Project description:BackgroundPerson-centered care is a valuable approach to improve the quality of care of the elderly and is a starting point for maintaining the dignity of people needing care.ObjectivesThis study aimed at translation, cultural adaptation, and validation of the Persian version of the Person-centered Climate Questionnaire-Patient questionnaire in elderly patients admitted to the Eastern Guilan hospitals from 2017-2018.DesignThis research was a cross-sectional study. The Persian version of Person-centered Climate Questionnaire -Patient version was completed by 200 older adults admitted to different wards of the hospitals. They were selected through convenient sampling. Data were collected in 5 hospitals affiliated to Guilan University of Medical Sciences, East of Guilan located in the north of Iran, from November 2017 to February 2018.MethodsThis study was carried out in two phases. In the first phase, the original questionnaire with 17 items was translated from English into Persian using Forward-Backward translation method. In the second phase, the psychometric properties of the questionnaire were evaluated using face, content, and construct validity, as well as reliability (internal consistency and stability). Data were analyzed via SPSS software v.16.ResultsThe results of exploratory factor analysis (EFA) led to retaining 17 items with three factors of "Safety", "Hospitality", and "Everydayness" which explained 47.69% of the total variance. Cronbach's alpha coefficient was calculated for each factor (0.85, 0.70, and 0.64, respectively) as well as the whole instrument (0.85), to ensure internal consistency. Stability was confirmed by calculating the intra-class correlation coefficient as 0.99.ConclusionsThe current study found support for assessing the person-centered climate from the perspective of the elderly patients by using the Persian version of the Person-centered Climate Questionnaire-Patient that has an appropriate cultural adaptation, validity, and reliability.

Project description:BackgroundWith the number of people with dementia dramatically increasing over time and dementia becoming a major health concern worldwide, scales have been developed to assess the stigma socially attached to this neurodegenerative disorder. There are, however, almost no available methods and assessment constructs for person-centered translation of dementia public stigma scales.ObjectiveTo develop such a method and such an assessment construct by translating the Dementia Public Stigma Scale (DPSS) into standard written Chinese.MethodsWe translated the DPSS following three major steps: (1) literal translation and mistranslation identification; (2) panel discussions of items with problematic translations; and (3) the final checking of the translated scale. Informed by the translation and adaptation process, we then developed a method for person-centered translation of dementia public stigma scales. Based on this method and our panel discussions, we finally proposed a tripartite assessment construct for quality evaluation of the translation of dementia public stigma scales.ResultsForward and backward translation did not work sufficiently in dementia public stigma scale translation. Mistranslations were induced by three major causes, including confusion caused by multiple Chinese meanings of the immediate Chinese direct translation, the lack of immediate Chinese direct translation because of varying positive/negative emotions attached to multiple translations, and the lack of culture-specific idioms in Chinese. Based on these factors, we proposed a tripartite dementia translation assessment construct. Following this assessment tool, we determined the best Chinese version that could further be tested for its psychometric properties among the public.ConclusionA method and an assessment construct for person-centered translation of dementia public stigma scales were developed. Such a method and such an assessment construct could be followed in the translation of dementia public stigma scales and the translation evaluation of such scales.

Dataset Information

Psychometric assessment of the US person-centered prenatal and maternity care scales in a low-income predominantly Latinx population in California.

Objectives

Methods

Results

Conclusions

Publications

Psychometric assessment of the US person-centered prenatal and maternity care scales in a low-income predominantly Latinx population in California.

Similar Datasets

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