3-amino-benzoic acid o-phenetidide | 402596-34-3

• 分子结构分类: 有机化合物 - 苯类化合物 - 苯和取代衍生物
• 英文名称: 3-amino-benzoic acid o-phenetidide
• 英文别名: 3-Amino-benzoesaeure-o-phenetidid；3-amino-N-(2-ethoxyphenyl)benzamide
• CAS: 402596-34-3
• 化学式: C₁₅H₁₆N₂O₂
• 分子量: 256.304
• InChiKey: AOXQPMQKOUFJCP-UHFFFAOYSA-N

物化性质

• 沸点：
  373.7±27.0 °C(Predicted)
• 密度：
  1.214±0.06 g/cm3(Predicted)

计算性质

• 辛醇/水分配系数(LogP)：
  2.5
• 重原子数：
  19
• 可旋转键数：
  4
• 环数：
  2.0
• sp3杂化的碳原子比例：
  0.13
• 拓扑面积：
  64.4
• 氢给体数：
  2
• 氢受体数：
  3

安全信息

• 危险等级：
  IRRITANT

反应信息

• 作为反应物：
  描述：

  3-amino-benzoic acid o-phenetidide 在 盐酸 、 tin 、 苯 作用下， 生成 3-(3-amino-benzoylamino)-benzoic acid o-phenetidide
  参考文献：
  名称：

  Nursing Home Staffing and Its Relationship to Deficiencies

  摘要：

  Objectives. The authors examined the relationships between different types of nursing home staffing and nursing home deficiencies to test the hypothesis that fewer staff hours would be associated with higher numbers of deficiencies.Methods. Data were from the On-Line Survey, Certification. and Reporting System for all certified nursing homes in the United States. Regression models examined total deficiencies, quality of care, quality of life, and other deficiencies.Results. Fewer registered nurse hours and nursing assistant hours were associated with total deficiencies and quality of care deficiencies, when other variables were controlled. Fewer nursing assistant staff and other care staff hours were associated with quality of life deficiencies. Fewer administrative staff hours were associated with other deficiencies. Facilities that had more depressed and demented residents, that were smaller, and that were nonprofit or government-owned had fewer deficiencies. Facilities with more residents with urinary incontinence and pressure sores and with higher percentages of Medicaid residents had more deficiencies, when staffing and resident characteristics were controlled.Discussion. Facility characteristics and states were stronger predictors of deficiencies than were staffing hours and resident characteristics. Because only a small portion of the total variance in deficiencies could be explained. much work remains to explore factors that influence deficiencies.

  DOI：

  10.1093/geronb/55.5.s278
• 作为产物：
  描述：

  氨基苯乙醚 在 盐酸 、 tin 、 苯 作用下， 生成 3-amino-benzoic acid o-phenetidide
  参考文献：
  名称：

  Weil, Roczniki Chemii, vol. 6, p. 758

  摘要：

  DOI：

文献信息

• Weil, Roczniki Chemii, vol. 6, p. 758
  作者：Weil

  DOI：——

  日期：——
• Weil, Roczniki Chemii, vol. 6, p. 764
  作者：Weil

  DOI：——

  日期：——
• Nursing Home Staffing and Its Relationship to Deficiencies
  作者：C. Harrington、D. Zimmerman、S. L. Karon、J. Robinson、P. Beutel

  DOI：10.1093/geronb/55.5.s278

  日期：2000.9.1

  Objectives. The authors examined the relationships between different types of nursing home staffing and nursing home deficiencies to test the hypothesis that fewer staff hours would be associated with higher numbers of deficiencies.Methods. Data were from the On-Line Survey, Certification. and Reporting System for all certified nursing homes in the United States. Regression models examined total deficiencies, quality of care, quality of life, and other deficiencies.Results. Fewer registered nurse hours and nursing assistant hours were associated with total deficiencies and quality of care deficiencies, when other variables were controlled. Fewer nursing assistant staff and other care staff hours were associated with quality of life deficiencies. Fewer administrative staff hours were associated with other deficiencies. Facilities that had more depressed and demented residents, that were smaller, and that were nonprofit or government-owned had fewer deficiencies. Facilities with more residents with urinary incontinence and pressure sores and with higher percentages of Medicaid residents had more deficiencies, when staffing and resident characteristics were controlled.Discussion. Facility characteristics and states were stronger predictors of deficiencies than were staffing hours and resident characteristics. Because only a small portion of the total variance in deficiencies could be explained. much work remains to explore factors that influence deficiencies.