Robust estimation of infant feeding indicators by data quality assessment of longitudinal electronic health records from birth up to 18 months of life.

BACKGROUND AND OBJECTIVE: The Baby-Friendly Hospital Initiative (BFHI) is an international strategy aimed at improving breastfeeding practices in health care services. Regular monitoring of indicators is key for BFHI implementation and maintenance. Currently, routine data collected from electronic health records (EHR) is an excellent source for infant feeding monitoring, however data quality (DQ) assessment should be undertaken. The aim of this research is to enable robust estimations of infant feeding indicators through DQ assessment of routine EHR data. MATERIALS AND METHODS: We use the longitudinal series of healthcare contacts belonging to 6427 children born from 2009 to 2018 in the Health Area V of Murcia (Spain). Longitudinal data came from EHR at hospital discharge and community infant health reviews up to 18 months. The data of each healthcare contact contained a 24-h recall of infant feeding. We perform a DQ process in three phases: (1) an assessment of each-single-contact and the definition of their infant feeding status; (2) a longitudinal DQ assessment of completeness and consistency of the series of contacts to obtain meta-information that guides the duration calculus, for each case, of the different types of breastfeeding: exclusive breastfeeding (EBF), full breastfeeding (FBF) and any breastfeeding (ABF); and finally (3) a robust estimation of indicators and description of DQ of each indicator. RESULTS: We found deficiencies of DQ in 30.42% of single contacts for EBF, 19.02% for FBF and 22.50% for ABF that were used to establish the infant feeding status. However, after longitudinal DQ assessment, we obtained valid and reliable data rates for most indicators such as "median duration of breastfeeding" nearly 90%, both for FBF and ABF, not so for EBF. CONCLUSIONS: Despite the DQ deficiencies found in raw data, the DQ assurance approach by indicators proposed in this work, allowed us to obtain a robust estimation of indicators with a significant percentage of subjects with valid information for ABF and FBF monitoring. The estimations were consistent with results previously published. The methodology provided with this study allows a continuous and reliable population monitoring of infant feeding indicators of BFHI from routine EHR data.

A Standardized and Data Quality Assessed Maternal-Child Care Integrated Data Repository for Research and Monitoring of Best Practices: A Pilot Project in Spain.

We present the results of a pilot project of the Spanish Ministry of Health, Social Services and Equality, envisaged to the development of a national integrated data repository of maternal-child care information. Based on health information standards and data quality assessment procedures, the developed repository is aimed to a reliable data reuse for (1) population research and (2) the monitoring of healthcare best practices. Data standardization was provided by means of two main ISO 13606 archetypes (composed of 43 sub-archetypes), the first dedicated to the delivery and birth information and the second about the infant feeding information from delivery up to two years. Data quality was assessed by means of a dedicated procedure on seven dimensions including completeness, consistency, uniqueness, multi-source variability, temporal variability, correctness and predictive value. A set of 127 best practice indicators was defined according to international recommendations and mapped to the archetypes, allowing their calculus using XQuery programs. As a result, a standardized and data quality assessed integrated data respository was generated, including 7857 records from two Spanish hospitals: Hospital Virgen del Castillo, Yecla, and Hospital 12 de Octubre, Madrid. This pilot project establishes the basis for a reliable maternal-child care data reuse and standardized monitoring of best practices based on the developed information and data quality standards.

Construction of quality-assured infant feeding process of care data repositories: Construction of the perinatal repository (Part 2).

This is the second in a series of two papers regarding the construction of data quality (DQ) assured repositories, based on population data from Electronic Health Records (EHR), for the reuse of information on infant feeding from birth until the age of two. This second paper describes the application of the computational process of constructing the first quality-assured repository for the reuse of information on infant feeding in the perinatal period, with the aim of studying relevant questions from the Baby Friendly Hospital Initiative (BFHI) and monitoring its deployment in our hospital. The construction of the repository was carried out using 13 semi-automated procedures to assess, recover or discard clinical data. The initial information consisted of perinatal forms from EHR related to 2048 births (Facts of Study, FoS) between 2009 and 2011, with a total of 433,308 observations of 223 variables. DQ was measured before and after the procedures using metrics related to eight quality dimensions: predictive value, correctness, duplication, consistency, completeness, contextualization, temporal-stability, and spatial-stability. Once the predictive variables were selected and DQ was assured, the final repository consisted of 1925 births, 107,529 observations and 73 quality-assured variables. The amount of discarded observations mainly corresponds to observations of non-predictive variables (52.90%) and the impact of the de-duplication process (20.58%) with respect to the total input data. Seven out of thirteen procedures achieved 100% of valid births, observations and variables. Moreover, 89% of births and ~98% of observations were consistent according to the experts׳ criteria. A multidisciplinary approach along with the quantification of DQ has allowed us to construct the first repository about infant feeding in the perinatal period based on EHR population data.

Development and Assessment of a Questionnaire to Study Protection, Promotion, and Support of Breastfeeding.

OBJECTIVE: To develop an instrument to measure variables that influence health care professionals' behavior with regard to the protection, promotion, and support of breastfeeding, especially one that related to the Baby-Friendly Hospital Initiative (BFHI), and to conduct a psychometric assessment. DESIGN: Cross-sectional study. SETTING: Two public health departments in eastern Spain. PARTICIPANTS: A convenience sample of 201 maternity and primary care professionals. METHODS: The Questionnaire of Professional Breastfeeding Support of the Healthcare Quality Management Program of the Spanish Region of Murcia (QPBS-EMCA) was developed using the theory of reasoned action as a conceptual framework and the Global Criteria for evaluating implementation of the BFHI. It comprises 4 scales on beliefs, attitudes, subjective norms, and behavioral intention. The development process included item assessment and selection based on expert judgment and statistical criteria. The QPBS-EMCA scales were assessed for reliability and validity, including internal consistency, principal components factor analysis, criterion-related validity, and comparison of contrasted groups. RESULTS: The Beliefs, Attitudes, and Subjective Norms Scales were multidimensional, whereas the Behavioral Intention Scale was unidimensional. Cronbach's alpha coefficients ranged from .65 to .81. Total scores for the Beliefs, Attitudes, and Subjective Norms Scales predicted scores for the Behavioral Intention Scale. Scores for the different QPBS-EMCA scales were related to professionals' previous breastfeeding training, interest in new training, and appraisal of breastfeeding policy in the workplace. CONCLUSION: The psychometric characteristics of the QPBS-EMCA render it suitable for evaluation of professionals' beliefs, attitudes, subjective norms, and behavioral intention in relation to breastfeeding and could be useful in health care facilities implementing quality improvement processes based on the BFHI.

The Spanish version of the prenatal breast-feeding self-efficacy scale: reliability and validity assessment.

BACKGROUND: Only a minority of infants are exclusively breastfed for the recommended 6 months postpartum. Breast-feeding self-efficacy is a mother's confidence in her ability to breastfeed and is predictive of breastfeeding behaviors. The Prenatal Breast-feeding Self-efficacy Scale (PBSES) was developed among English-speaking mothers to measure breastfeeding self-efficacy before delivery. OBJECTIVES: To translate the PBSES into Spanish and assess its psychometric properties. DESIGN: Reliability and validity assessment. SETTING: A public hospital in Yecla, Spain. PARTICIPANTS: A convenience sample of 234 pregnant women in their third trimester of pregnancy. METHODS: The PBSES was translated into Spanish using forward and back translation. A battery of self-administered questionnaires was completed by participants, including a questionnaire on sociodemographic variables, breastfeeding experience and intention, as well as the Spanish version of the PBSES. Also, data on exclusive breastfeeding at discharge were collected from hospital database. Dimensional structure, internal consistency and construct validity of the Spanish version of PBSES were assessed. RESULTS: Confirmatory factor analysis suggested the presence of one construct, self-efficacy, with four dimensions or latent variables. Cronbach's alpha coefficient for internal consistency was 0.91. Response patterns based on decision to breastfeed during pregnancy provided evidence of construct validity. In addition, the scores of the Spanish version of the PBSES significantly predicted exclusive breastfeeding at discharge. CONCLUSIONS: The Spanish version of PBSES shows evidences of reliability, and contrasting group and predictive validity. Confirmatory factor analysis indicated marginal fit and further studies are needed to provide new evidence on the structure of the scale. The Spanish version of the PBSES can be considered a reliable measure and shows validity evidences.

Becoming baby-friendly in Spain: a quality-improvement process.

AIM: To describe the implementation process and effect of a quality-improvement intervention aimed at achieving compliance with the Baby-friendly Hospital Initiative (BFHI). METHODS: We conducted a prospective study of the development and evaluation of a quality-improvement intervention at the Yecla Hospital, Spain. A random sample of 1273 infants born in the hospital was followed up in primary care centres between 1997 and 2005. The study interventions were process-oriented training, audit and feedback, quality-improvement cycles and provision of breastfeeding support resources. The main outcome measures were changes in compliance with the Global Criteria for the BFHI and breastfeeding rates before, during and after the intervention. RESULTS: Compliance with the Global Criteria increased progressively, and in 2004 all criteria were met. The median duration of breastfeeding went up gradually from the start of the intervention. The likelihood of being breastfed at different ages among infants born in 2005 was between 45% [odds ratio (OR) 0.55; 95% confidence interval (CI) 0.38-0.79] and 86% (OR 0.14; 95% CI 0.09-0.20) higher than among infants born in 1997. CONCLUSION: Quality-improvement interventions based on participation, training, audit and feedback of information, and provision of resources are useful for the implementation of the BFHI, which is associated with a significant increase in breastfeeding rates.