USING DATA TO DRIVE CHANGE Continuous Improvements in CA Hospitals - - PowerPoint PPT Presentation

▶

Oct 05, 2022 458 likes •683 views

USING DATA TO DRIVE CHANGE Continuous Improvements in CA Hospitals California Breastfeeding and Hospital Performance Reports 20062015 Produced by: California WIC Association and UCD Human Lactation Center 2016 Report Includes:

SLIDE 1

USING DATA TO DRIVE CHANGE

Continuous Improvements in CA Hospitals

SLIDE 2

California Breastfeeding and Hospital Performance Reports 2006‐2015

 Produced by: California

WIC Association and UCD Human Lactation Center

 2016 Report Includes:

 Full Report  California Fact Sheet  County Fact Sheets

SLIDE 3

Using Data to Drive Change

Evidence needed for

policy change

Data can highlight

disparities

Data needed to obtain

administrative support

Data used as goals and

to demonstrate progress

Data can be used to

fight misinformation

SLIDE 4

Using Data to Support BF

Public surveillance

and reporting

Highlighting data for

the media

Finding focus areas
Working with others
Demonstrating

change is possible

SLIDE 5

In‐Hospital Breastfeeding (BF) Data

 Blood sample taken in

all CA maternity hospitals for newborn screening program

 Mothers asked what

babies fed since birth:

 Only human milk  Only formula  Human milk and formula  Data reported by CDPH  Maternal Child and

Adolescent Health Program

SLIDE 6

Genetic Disease Screening Data

California In-hospital Breastfeeding Rates

SLIDE 7

“The Gap”

93.9 89.4 93.8 95.1 68.6 59.4 60.2 67.1 10 20 30 40 50 60 70 80 90 100 California Kern Los Angeles Orange

Percent

Any Exclusive

SLIDE 8

Statewide Exclusive Breastfeeding

2010 56.6% 2015 68.6%

CDPH Genetic Disease Screening Data

SLIDE 9

In-Hospital Breastfeeding by Ethnicity (2010)

92.7 93.4 90.5 91 87.2 86.9 84.8 80 73.8 56.8 48.3 66.5 60.3 55.9 49.8 46.1 10 20 30 40 50 60 70 80 90 100 White Asian Hispanic Multiple American Indian Other Pacific Islander African American

Percent

Any Excl CDPH Genetic Disease Screening Data

SLIDE 10

In-Hospital Breastfeeding by Ethnicity (2015)

95.3 95.3 93.8 94.1 91.6 89 88.2 85.3 81.4 64.2 63.4 77.1 71.9 64.3 60.7 57.9 10 20 30 40 50 60 70 80 90 100 White Asian Hispanic Multiple American Indian Other Pacific Islander African American

Percent

Any Exclusive CDPH Genetic Disease Screening Data

SLIDE 11

Change in EBF (2010 – 2015)

73.8 56.8 48.3 66.5 60.3 55.9 49.8 46.1 81.4 64.2 63.4 77.1 71.9 64.3 60.7 57.9

10 20 30 40 50 60 70 80 90 100 White Asian Hispanic Multiple American Indian Other Pacific Islander African American

Percent

2010 2015 CDPH Genetic Disease Screening Data

SLIDE 12

Regional Disparities Persist

Highest BF rates in

northern, mountain, and coastal areas

Lowest rates in

southern and central valley areas

Efforts by local

coalitions, First 5, and other funders are closing the gaps

SLIDE 13

Exclusive Breastfeeding By County (2010‐15)

19.2 35.9 39.3 43.3 36.9 59.4 60.2 60.7 10 20 30 40 50 60 70 Imperial Kern Los Angeles San Joaquin

Percent

2010 2015 CDPH Genetic Disease Screening Data

SLIDE 14

The “Good List” Highest 10 (2015)

CDPH Genetic Disease Screening Data

10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10

Percent

Any Excl

SLIDE 15

The “Bad List” Lowest 10 (2015)

10 20 30 40 50 60 70 80 90 100 1 2 3 4 5 6 7 8 9 10

Any Excl CDPH Genetic Disease Screening Data

SLIDE 16

Total Number of CA Baby Friendly Hospitals by Year

10 20 30 40 50 60 70 80 90 <2000 2002 2004 2006 2008 2010 2012 2014 2016 Number

Year

SLIDE 17

California Uses Data to Drive Change

 Surveillance data rarely

available at hospital level

 Focus on exclusive

breastfeeding and “gap”

 CA has 22% of all US

Baby Friendly Hospitals

 Other states look to us

SLIDE 18

Gaps in Data after Discharge

 Success has been driven

by nearly universal public in-hospital data

 Similar data not available

to improve BF rates after discharge

 Federal and other sources

are limited and collected in different ways at different time points

 Consistent and

comparable data are needed to build on success and improve maternal child health

SLIDE 19

What’s in the Report?

 Describes how data have been

used a local, regional, and national levels to drive change

 Describes benefits and

challenges of using surveillance data

 Describes successful use of

data and need for consistent and comparable data after discharge

 Includes recommendations for

data collection and other efforts to build on momentum

SLIDE 20

What’s in the Fact Sheets?

 Provides connection between

hospital policies and BF rates

 Compares hospitals side by

side

 Describes how data have been

used to drive change in CA

 Includes county rates and

rank, lists Baby Friendly and any state-level highest performing hospitals (if present), and the highest performing hospital in the county (even if not on lists)

 Provides same background as

country sheets

 Statewide any and excl BF

rates by race/ethnicity

 Detailed information about

data collection and the “lists”

 County rankings, top 15,

bottom 15, maps showing regional changes in rates

 Recommendations

County Fact Sheets State Fact Sheet

SLIDE 21

For More Information

California WIC Association Sarah Diaz 530-750-2280 sdiaz@calwic.org UC Davis Human Lactation Center

Dr. Jane Heinig

530-754-5364 mjheinig@ucdavis.edu

QUESTIONS??????