The nurse is seeing a client who asks about the accuracy of ...

[fagboi]

The nurse is seeing a client who asks about the accuracy of Nagele's rule. The nurse explains that accuracy can be compromised under which conditions? Note: Credit will be given only if all correct and no incorrect choices are selected.
 
  Select all that apply. 1. There is a history of regular menses every 28 days.
  2. Amenorrhea is present and ovulation occurs with breastfeeding.
  3. Oral contraception was discontinued, but no regular menstruation was established.
  4. There has been 1 or more months of amenorrhea.
  5. There is an accurate date for the last menstrual period.

Question 2

The nurse is caring for several pregnant patients. Which patient should the nurse anticipate is most likely to have a newborn at risk for mortality or morbidity?
 
  1. 37-year-old G8 P2323, works in a chemical factory
  2. 23-year-old primip, low socioeconomic status, unmarried
  3. 16-year-old primip, began prenatal care at 30 weeks.
  4. 28-year-old G2 P1001, history of gestational diabetes

[jgranad15]

Answer to Question 1

2, 3, 4
Explanation: 2. Nagele's rule is not always accurate for women who have amenorrhea but are ovulating and conceive while breastfeeding.
3. Nagele's rule is not always accurate for women who conceive before regular menstruation is established following discontinuation of oral contraceptives or termination of a pregnancy.
4. Nagele's rule is not always accurate for women with markedly irregular periods that include 1 or more months of amenorrhea.

Answer to Question 2

1
Rationale 1: This patient is at greatest risk because she has multiple risk factors: age over 35, high parity, history of preterm birth, and exposure to chemicals that might be toxic.
Rationale 2: The main risk factor for this patient is her low socioeconomic status.
Rationale 3: This patient has two risk factors: young age and late onset of prenatal care.
Rationale 4: This patient's only risk factor is the history of gestational diabetes.

[fagboi]

Gracias!

[mohan]

Excellent