دورية أكاديمية

Analysis of interrupted time series mortality trends: an example to evaluate regionalized perinatal care.

التفاصيل البيبلوغرافية
العنوان: Analysis of interrupted time series mortality trends: an example to evaluate regionalized perinatal care.
المؤلفون: Gillings D, Makuc D, Siegel E
المصدر: American journal of public health [Am J Public Health] 1981 Jan; Vol. 71 (1), pp. 38-46.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: American Public Health Association Country of Publication: United States NLM ID: 1254074 Publication Model: Print Cited Medium: Print ISSN: 0090-0036 (Print) Linking ISSN: 00900036 NLM ISO Abbreviation: Am J Public Health Subsets: MEDLINE
أسماء مطبوعة: Publication: Washington, DC : American Public Health Association
Original Publication: New York [etc.]
مواضيع طبية MeSH: Infant Mortality* , Prenatal Care* , Regional Medical Programs*, Fetal Death/*epidemiology, Evaluation Studies as Topic ; Female ; Humans ; North Carolina ; Pregnancy ; Regression Analysis ; Risk ; Time Factors
مستخلص: Interrupted time series designs are frequently employed to evaluate program impact. Analysis strategies to determine if shifts have occurred are not well known. The case where statistical fluctuations (errors) may be assumed independent is considered, and a segmented regression methodology presented. The method discussed ia applied to the assessment of changes in local and state perinatal postneonatal mortality to identify historical trends and will be used to evaluate the impact of the North Carolina Regionalized Perinatal Care Program when seven years of post-program mortality data become available. The perinatal program region is contrasted with a control region to provide a basis for interpretation of differences noted. Relevant segmented regression models provided good fits to the data and highlighted mortality trends over the last 30 years. Considerable racial differences in these trends were identified, particularly for postneonatal mortality. Segmented regression is considered relevant for the analysis of interrupted time series designs in other applications when errors can be taken to be independent. Thus, the methodology may be regarded as a general statistical tool for evaluation purposes.
References: Am J Obstet Gynecol. 1966 Jul 15;95(6):860-7. (PMID: 5940600)
Am J Obstet Gynecol. 1976 AUG 1;125(7):924-32. (PMID: 941946)
Public Health Rep. 1976 Sep-Oct;91(5):423-32. (PMID: 824666)
Am J Epidemiol. 1978 Dec;108(6):454-69. (PMID: 736025)
Semin Perinatol. 1977 Jul;1(3):283-301. (PMID: 618133)
Semin Perinatol. 1977 Jul;1(3):309-19. (PMID: 571148)
Am J Public Health. 1980 Sep;70(9):964-73. (PMID: 7406096)
Am J Public Health. 1980 Sep;70(9):974-6. (PMID: 7406097)
Am J Public Health. 1980 Sep;70(9):977-82. (PMID: 7406098)
تواريخ الأحداث: Date Created: 19810101 Date Completed: 19810925 Latest Revision: 20190514
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC1619708
DOI: 10.2105/ajph.71.1.38
PMID: 7258429
قاعدة البيانات: MEDLINE
الوصف
تدمد:0090-0036
DOI:10.2105/ajph.71.1.38