Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.
ADVANCED SEARCH
Log in
Top
Maternal and Child Health Journal
Published in: Maternal and Child Health Journal 5/2012

01-07-2012

Development and Validation of a Scale Measuring Satisfaction with Maternal and Newborn Health Care Following Childbirth

Authors: Fabian T. Camacho, Carol S. Weisman, Roger T. Anderson, Marianne M. Hillemeier, Eric W. Schaefer, Ian M. Paul

Published in: Maternal and Child Health Journal | Issue 5/2012

Login to get access

Abstract

To demonstrate the validity and internal consistency of a multi-item scale measuring women’s satisfaction with health care received in the weeks following childbirth for both themselves and their newborns. Data are from 1,154 women delivering healthy singletons or twins recruited for a randomized trial. Satisfaction with care items were selected from prior research, including the previously validated Primary Care Satisfaction Survey for Women (PCSSW) and studies of postpartum care. After randomly splitting the sample (1:1) for cross-validation purposes, Exploratory (EFA) and Confirmatory factor analysis (CFA) on ordinal data using the WLSMV estimator available in the MPLUS statistical modeling program were conducted. A CFA was also conducted on available data at 2 weeks and 2 months after discharge in order to examine internal consistency at follow-up. A one factor model with 11 items was selected, with the main factor explaining 83% of total 11-item variation in the overall sample. The Cronbach’s alpha for the final 11-item scale at baseline and follow-up time periods was 0.96. High correlations with overall trust in provider (Spearman rho = 0.78) and quality of healthcare (0.75) supported convergent validity. The baseline mean score was 47.9 with a standard deviation of 7.13 and a possible range of 11 (low) to 55 (high satisfaction). This validated scale is a new tool for measuring satisfaction with health care received during the postpartum period for mothers and their newborns. This tool will be useful in studies assessing quality of care and the outcomes of postpartum health care interventions, and it is the first tool to focus on care for the mother-baby unit.
Literature
1.
American Academy of Pediatrics. (2010). Hospital stay for healthy term newborns. Pediatrics, 125, 405–409.CrossRef
2.
Hagan, J., Shaw, J., & Duncam, P. (2008). Bright futures: Guidelines for health supervision of infants, children, and adolescents (3rd ed.). Elk Grove, IL: The American Academy of Pediatrics.
3.
American Academy of Pediatrics. (2007). American College of Obstetricians and Gynecologists. Guidelines for perinatal care (6th ed.). Washington DC: ACOG.
4.
Centers for Disease Control, Prevention. (2007). Postpartum care visits: 11 States and New York City. MMWR, 56(50), 1312–1316.
5.
American Academy of Pediatrics. (2005). Breastfeeding and the use of human milk. Pediatrics, 115(2), 496–506.CrossRef
6.
Escobar, G., Braveman, P., Ackerson, L., Odouli, R., Coleman-Phox, K., Capra, A., et al. (2001). A randomized comparison of home visits and hospital-based group follow-up visits after early postpartum discharge. Pediatrics, 108(3), 719–727.PubMedCrossRef
7.
Lieu, T., Wikler, C., Capra, A., Martin, K., Escobar, G., & Braveman, P. (1998). Clinical outcomes and maternal perceptions of an updated model of perinatal care. Pediatrics, 102(6), 1437–1444.PubMedCrossRef
8.
Brooten, L., Roncoli, M., Finkler, S., Arnold, L., Cohen, A., & Mennuti, M. (1994). A randomized trial of early hospital discharge and home followup-up of women having cesarean birth. Obstetrics and Gynecology, 84, 832–838.PubMed
9.
Pugh, L., Serwint, J., Frick, K., Nanda, J., Sharps, P., Spatz, D., et al. (2010). A randomized controlled community-based trial to improve breastfeeding rates among urban low-income mothers. Academic Pediatrics, 10(1), 14–20.PubMedCrossRef
10.
Pascoe, G. (1983). Patient satisfaction in primary health care: A literature review and analysis. Evaluation and Program Planning, 6, 185–210.PubMedCrossRef
11.
Bond, S., & Thomas, L. (1992). Measuring patients’ satisfaction with nursing care. Journal of Advanced Nursing, 17, 52–63.PubMedCrossRef
12.
Peterson, W., Charles, C., DiCenso, A., & Sword, W. (2005). The newcastle satisfaction with nursing scales: A valid measure of maternal satisfaction with inpatient postpartum nursing care. Journal of Advanced Nursing, 52(6), 672–681.PubMedCrossRef
13.
Hung, C., Yu, C., & Liu, C. (2010). Maternal satisfaction with postpartum nursing centers. Research in Nursing and Health, 33, 345–354.PubMedCrossRef
14.
Scholle, S., Weisman, C., Anderson, R., & Camacho, F. (2004). The development and validation of the primary care satisfaction survey for women. Women’s Health Issues, 14, 35–50.PubMed
15.
Lieu, T., Braveman, P., Escobar, G., Fischer, A., Jensvold, N., & Capra, A. (2000). Randomized comparison of home and clinic follow-up visits after early postpartum hospital discharge. Pediatrics, 105(5), 1058–1065.PubMedCrossRef
16.
Alexander, L., Sandridge, J., & Moore, L. (1993). Patient satisfaction: An outcome measure for maternity services. Journal of Perinatal and Neonatal Nursing, 7(2), 28–39.PubMed
17.
Anderson, R., Girman, C., Pawaskar, M., Camacho, F., Calles, J., Kelly, W. S., DeMuro, C., & Balkrishnan, R. (2009) Diabetes medication satisfaction tool: A focus on treatment regimens. Diabetes Care, 32 (1).
18.
de Vet, H., Ader, H., Terwee, C., & Pouwer, F. (2005) Are factor analytical techniques used appropriately in the validation of health status questionnaires? A systematic review on the quality of factor analysis of the SF-36. Quality of Life Research, 14 (5), 1203–1218 (Review).
19.
Forero, C., Maydeu-Olivares, A., & Gallardo-Pujol, D. (2009). Factor analysis with ordinal indicators: A Monte Carlo study comparing DWLS and ULS estimation. Structural Equation Modeling, 16, 625–641.CrossRef
20.
Mislevy, R. (1986). Recent developments in the factor analysis of categorical variables. Journal of Educational Statistics, 11, 3–31.CrossRef
21.
Muthen, B., du Toit, S., & Spisic, D. (1997) Robust inference using weighted least squares and quadratic estimating equations in latent variable modeling with categorical and continuous outcomes; Unpublished Technical Report; MPLUS.
22.
Horn, J. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179–185.PubMedCrossRef
23.
Dinno, A. (2009). Exploring the sensitivity of Horn’s parallel analysis to the distributional form of random data. Multivariate Behavioral Research, 44(3), 362–388.PubMedCrossRef
24.
Cho, S., Li, F., & Bandalos, D. (2009). Accuracy of the parallel analysis procedure with polychoric correlations. Education and Psychological Measurement, 69(5), 748–759.CrossRef
25.
26.
Bentler, P. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107, 238–246.PubMedCrossRef
27.
Bentler, P., & Bonnett, D. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606.CrossRef
28.
Steiger, J., & Lind, J. (1980) Statistically-based tests for the number of common factors. Paper presented at the annual Spring Meeting of the Psychometric Society in Iowa City. Iowa City.
29.
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRef
30.
Thomas, L., McColl, E., Priest, J., Bond, S., & Boys, R. (1996). Newcastle satisfaction with nursing scales: An instrument for quality assessments of nursing care. Quality & Safety in Health Care, 5(2), 67–72.CrossRef
31.
32.
Cohen, G. (1996). Age and health status in a patient satisfaction survey. Social Sciences & Medicine, 42(7), 1085–1093.CrossRef
33.
Bui, Q., Ostir, G., Kuo, Y., Freeman, J., & Goodwin, J. (2005). Relationship of depression to patient satisfaction: Findings from the barriers to breast cancer study. Breast Cancer Research and Treatment, 89(1), 23–28.PubMedCrossRef
34.
Bair, M., Kroenke, K., Sutherland, J., McCoy, K., Harris, H., & McHorney, C. (2007). Effect of depression and pain severity on satisfaction in medical outpatients: Analysis of the medical outcomes study. Journal of Rehabilitation Research and Development, 44(2), 143–152.PubMedCrossRef
35.
Da Costa, D., Clarke, A., Dobkin, P., Senecal, J., Fortin, P. R., Danoff, D., et al. (1999). The relationship between health status, social support and satisfaction with medical care among patients with systemic lupus erythematosus. International Journal for Quality in Health Care, 11(3), 201–207.PubMedCrossRef
36.
Holman, A., Brumer, S., Ware, W., & Pasta, D. (1995). The impact of interpersonal support on patient satisfaction with orthognathic surgery. Journal of Oral and Maxillofacial Surgery, 53(11), 1289–1297.PubMedCrossRef
37.
Cox, J., Holden, J., & Sagovsky, R. (1987). Detection of postnatal depression. Development of the 10-item Edinburgh postnatal depression scale. British Journal of Psychiatry, 150, 782–786.PubMedCrossRef
38.
Sherbourne, C., & Stewart, A. (1991). The MOS social support survey. Social Sciences & Medicine, 32, 705–714.CrossRef
39.
MacCallum, R., Browne, M., & Sugawara, H. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological methods, 1, 130–149.CrossRef
40.
Hatcher, L. (1994) A step by step approach to using the SAS system for factor analysis and structural equation modeling. Cary, NC: SAS Institute. p. 326.
41.
Moller-Leimkuhler, A., Dunkel, R., Muller, P., Pukies, G., de Fazio, S., & Lehmann, E. (2002). Is patient satisfaction a unidimensional construct? Factor analysis of the Munich patient satisfaction scale (MPSS-24). European Archives of Psychiatry and Clinical Neuroscience, 252(1), 19–23.PubMed
42.
Camacho, F., Feldman, S., Balkrishnan, R., Kong, M., & Anderson, R. (2009). Validation and reliability of 2 specialty care satisfaction scales. American Journal of Medical Quality, 24(1), 12–18.PubMedCrossRef
43.
Williams, B., Coyle, J., & Healy, D. (1998). The meaning of patient satisfaction: An explanation of high reported levels. Social Science and Medicine, 9, 1351–1359.
Metadata
Title
Development and Validation of a Scale Measuring Satisfaction with Maternal and Newborn Health Care Following Childbirth
Authors
Fabian T. Camacho
Carol S. Weisman
Roger T. Anderson
Marianne M. Hillemeier
Eric W. Schaefer
Ian M. Paul
Publication date
01-07-2012
Publisher
Springer US
Published in
Maternal and Child Health Journal / Issue 5/2012
Print ISSN: 1092-7875
Electronic ISSN: 1573-6628
DOI
https://doi.org/10.1007/s10995-011-0823-8

Other articles of this Issue 5/2012

Maternal and Child Health Journal 5/2012 Go to the issue

OriginalPaper

Age of Achievement of Gross Motor Milestones in Infancy and Adiposity at Age 3 Years

Commentary

Smoking Cessation Intervention for Pregnant Women: A Call for Extension to the Postpartum Period

Erratum

Erratum to: Psychosocial Determinants of Mistimed and Unwanted Pregnancy: The Hamamatsu Birth Cohort (HBC) Study

OriginalPaper

Developing a Measure of Prenatal Case Management Dosage

OriginalPaper

Teen Motherhood and Long-Term Health Consequences

OriginalPaper

Exploring Weathering: the Relation of Age to Low Birth Weight Among First Generation and Established United States-Born Mexican–American Women