nfralick
Wed, 12/10/2025 - 15:39
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Reducing Hospital
Readmissions in
Postpartum Patients
by Implementing a
Discharge Phone Call
Program: A Program
Evaluation
DNP Project
Jacqueline Drahos, MSN, RN, CPHQ
Doctor of Nursing Practice Candidate

• In the United States, there are
approximately four million births
annually, the most common indication for
hospitalization, costing around $19.1
billion (Wen et al., 2020)
• The first forty-two days after childbirth
are known as postpartum and are
associated with increased risks of
maternal and neonatal morbidity and
mortality
• More than half of maternal deaths in the
United States occur during the
postpartum period, with 40% occurring
between day one through forty-one
(Girsen et al., 2022)

• 40% of women fail to attend the
recommended postpartum visit
(Lewey et al., 2020)
• Hospital readmission occurs when
a patient returns to an acute care
hospital within a specified
timeframe (The Centers for
Medicare and Medicaid Services,
2023)
• Hospital readmissions are
considered a key quality measure
(Rammohan et al., 2023)

• Early recognition and interventions
have proven to improve overall
morbidity and mortality for
postpartum women

Hospital Readmission
Reduction Program (HRRP)
In 2012, CMS began penalizing hospitals for high
readmission rates in conditions like AMI, COPD, HF,
pneumonia, CABG, and THA/TKA (The Centers for
Medicare and Medicaid Services, 2023)

No standardized CMS metric for postpartum
readmissions currently exists

Concerns remain for using readmission reduction as
a universal quality metric due to lack of risk
adjustment and unintended harm in vulnerable
populations

• High readmission rates observed in the postpartum unit

Problem
Statement

• Lack of early follow-up leads to missed intervention
opportunities

• Evidence gap: Does a postpartum discharge phone call
within 7 days reduce readmission rates?

PICOT
Question
&
Hypothesis

In postpartum women 18 years and
older (P), how does implementing
discharge phone calls within seven days
(I), compared to the current state of no
discharge phone calls (C), decrease allcause readmission rates (O) over six
months (T)?

• Null hypothesis H₀: There will be no
difference in the readmission rate
between patients who received
discharge phone calls and those who
did not.
• Positive hypothesis H₁: There will
be a statistically significant difference
in readmission rates between patients
who received a discharge phone call
and those who did not.

(Justdone.com, n.d.)

• Risk Factors

• Who should make D/C phone calls

• Determining Factors

• Should postpartum readmission be a

• Educational Needs

quality metric

Gap Analysis: Obstetrical Office Survey to
Assess Discharge Phone Calls
OB Office

Do you have a
post-delivery
Call Timing
call process in
place?

1

Yes

2 weeks

2
3

No
No

N/A
N/A

Start Discharge
Documentation
Call Program?
Postpartum
telephone
encounter
N/A
N/A

3-4 Day
Follow-up
calls?

Care Connect? Additional Notes

Maybe

Yes

Yes

Maybe
Yes

Yes
Yes

Yes
Yes

4

No

N/A

N/A

Maybe

Yes

Yes

5

No

N/A

N/A

Yes

No

Yes

6

No

N/A

N/A

Maybe

Yes

Yes

7

No

N/A

N/A

Maybe

No

Yes

8

No

N/A

N/A

Maybe

No

Yes

9

No

N/A

N/A

No

No

No

No brochures,
info in initial OB
book
Phone follow-up
possible, not inoffice
MyChart
communication
preferred
Previous attempts
were inconsistent
due to staffing
Consulting
practice only, no
deliveries

Gap Analysis: Birthing Hospitals Discharge
Phone Call Survey
Birthing
Hospital

Discharge
Calls?

Who Makes
Calls?

Standardized
Template?

Call Timing
(Days PostDischarge)

Number of
Attempts

EPIC
Documentation
?

Barriers (if
applicable)

1

Yes

Lactation
Consultant

Yes

2-3

1

No

N/A

2

Not
Consistently

IBCLC

No

N/A

1

No

IBCLC struggles to
keep up

3

Yes

Unit Nurses

Yes

3-4

2

No

N/A

4

Yes

Unit Nurses

Yes

N/A

Yes (Telephone
encounter)

N/A

5

No

N/A

N/A

N/A

N/A

Completed from
Postpartum

N/A

Methodology
• Quantitative
• Quasi-experimental
• Pre-Post design
• Descriptive statistics

• Independent variables that will cause
the change are discharge phone calls
• Dependent variable will be the rate of
hospital readmissions during the
postpartum period of 30 days

Statistical Analysis
• Independent T-Test
• Used to determine if there is a
significant difference between
the means of two groups and
how they are related
• Fischer’s Exact Test
• Used to calculate the
probability between the
variables

Setting and
Study
Population

Lewin's Change Theory Application
Unfreezing: Recognized high postpartum
readmission rates; leadership
acknowledged need for change

Changing: Implemented discharge phone
calls; integrated into workflow; data
tracked with quality team

Refreezing: New practice accepted and
embedded in unit culture; standard
established

Plan-Do-Study-Act Cycle
• PDSA used as a continuous
improvement model to implement and
refine discharge phone calls for
postpartum patients
• Plan: Identified high readmission rates;
gathered baseline data via surveys and
chart reviews
• Do: Tested discharge phone call
intervention; collected data during
implementation
• Study: Analyzed results to evaluate
effectiveness and compared outcomes
• Act: Adjusted and implemented best
practices based on findings
(Institute of Medicine, n.d.)

The cycle was iterative, allowing ongoing
refinement to improve postpartum care
and reduce readmissions

Ethical Consideration
• No anticipated ethical issues
• Informed consent was not needed
• Administration approval obtained for
the postpartum unit to conduct the QI
project
• Institutional review board approval
was obtained from the university and
the healthcare organization as QI
• Collaborative Institutional Training
Initiative training completed

Interventions # 1
• The postpartum discharging
nurse completed the top of the
Discharge Phone Call form
upon discharge
• Patient name
• Mode of delivery
• Feeding type
• Any HTN, gDM,
depression, or anxiety
• Phone number verification
• Notification of a phone call
within seven days

Interventions # 2
• The assistant nurse manager called
the patient within 7 days of index
admission
• Questions completed
• Patient experience
• Educational booklet utilization
• Follow-up appointments
• Mode of feeding
• S/SX of infection, elevated
B/P, anxiety, or depression
• Attempted to contact the patient
twice and documented

Survey Results for Mode of Delivery,
Feeding Type & Pain Control
Mode of
Delivery
500
450
400
350
300
250
200
150
100
50
0

Feeding Type

Pain Control

Survey Results for Hospital Satisfaction, FollowUp Appointment & Breast-Feeding Concerns
Hospital Satisfaction
500
450
400
350
300
250
200
150
100
50
0

Follow-Up
Appointment

Breast-Feeding
Concerns

Survey Results for Discharge Instruction (D/C)
Questions & S/SX of Infection from C-section
Discharge Instruction
Questions

C-section S/Sx of
Infection

500
450
400
350
300
250
200
150

100
50
0
Yes

No

N/A

Yes

No

N/A/Not
answered

Survey Results for HTN Questions
Monitoring BP
500
450
400
350
300
250
200
150
100
50
0

On BP
Meds

H/A/Visual
Symptoms

F/U Appt

Survey Results for Anxiety/Depression
500
450
400
350
300
250

200
150
100
50
0

Feeling
sad/decreased
activity

Pre-discharge
meds

Follow-up for
medication

Discharge Phone Call Connection
March through August 2024
350

20%
18%

300

16%
250

14%
12%

200

10%

150

8%
6%

100

4%
50

2%

0

0%
March

April

May

June

July

Total Number of Patients Who Received a Discharge Phone Call
Total Number of Discharged Patient
Percentage Connected
Linear (Total Number of Patients Who Received a Discharge Phone Call )

August

Cumulative Variable Data with Statistical Test
Results and Significance
p-value

Cohen’s d

Effect Size
Interpretation

Statistical
Significance?

Variables

Statistical Test

Age

Independent Sample T-age Effect
Size
test

0.829

-0.0509 Negligible

No

BMI

Independent Sample T-age Effect
Size
test

0.041

-0.487 Moderate

Yes

LOS

Independent Sample T-age Effect
Size
test

0.006

0.667 Moderate

Yes

Days Between

Independent Sample T-age Effect
Size
test

0.754

0.0738 Negligible

No

Race

Fisher's Exact Test

1

N/A

N/A

No

Ethnicity

Fisher's Exact Test

0.469

N/A

N/A

No

Social Determinants of Health

Fisher's Exact Test

0.869

N/A

N/A

No

Insurance Type

Fisher's Exact Test

0.017

N/A

N/A

Yes

Mode of Delivery

Fisher's Exact Test

0.469

N/A

N/A

No

Primary Care Physician at Index Admission

Fisher's Exact Test

0.015

N/A

N/A

Discharge Appointment Made on Index Admission

Fisher's Exact Test

0.555

N/A

N/A

Diagnosis of Gestational Hypertension on Index
Admission

Fisher's Exact Test

0.312

N/A

N/A

Discharge Phone Calls

Fisher's Exact Test

0.001

N/A

N/A

Yes
No
No
Yes

Readmission Rate Comparison March
through August 2023 and 2024
Year

Total Discharges

Readmissions

Readmission
Rate (%)

2023

1854

35

1.89%

2024

1814

38

2.09%

Future Study
Recommendations
Focus on Postpartum Hypertension
Standardized Discharge Planning
Dedicated Discharge Follow-up Team
Targeted Risk-Based Interventions
Technology-Enhanced Follow-up
Consider Seasonal and Volume Variations

Conclusion
• A comprehensive pre-post program evaluation was
conducted using surveys, chart reviews,
descriptive statistics, and statistical testing

• There was a statistically significant association
between receiving a discharge call and reduced
readmission
• The evaluation supports implementing discharge
phone calls within 7 days postpartum as part of
standard care
• To enhance effectiveness, it's recommended to
combine calls with standardized discharge
education and explore additional modes of followup

Overall, timely phone calls post-discharge are a
promising strategy for reducing maternal
readmissions and promoting safe transitions home

References
• Clipground. (2019). Literature review clipart.
https://www.bing.com/search?q=Literature+Review+Clipart+10+free+Cliparts+%7
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0c16455&gs_lcrp=EgRlZGdlKgYIABBFGDkyBggAEEUYOTIGCAEQRRg80gE
HNjIxajBqNKgCALACAA&FORM=ANAB01&PC=NMTS
• Centers for Medicare and Medicaid Services. (2023, September 6). Hospital
Readmissions Reduction Program (HRRP).
https://www.cms.gov/medicare/quality/value-based-programs/hospital-readmissions
• Girsen, A. I., Leonard, S. A., Butwick, A. J., Joudi, N., Carmichael, S. L., & Gibbs,
R. S. (2022). Early postpartum readmissions: Identifying risk factors at birth
hospitalization. American Journal of Gynecological (AJOG) Global Reports, 2(4).

• Institute of Healthcare Improvement. (n.d.). How to improve: Model for
improvement. https://www.ihi.org/resources/how-improve-model-improvement

References
• JustDone. (n.d.). Free Literature Review Maker Online.
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