Los Angeles County: Preliminary Findings Dawn Terashita, MD, MPH - - PowerPoint PPT Presentation

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Los Angeles County: Preliminary Findings Dawn Terashita, MD, MPH - - PowerPoint PPT Presentation

Local Jurisdictions Health Officer Order Mandating Influenza Vaccination of Healthcare Personnel in Los Angeles County: Preliminary Findings Dawn Terashita, MD, MPH Acute Communicable Disease Control Los Angeles County Department of Public


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Local Jurisdiction’s Health Officer Order Mandating Influenza Vaccination of Healthcare Personnel in Los Angeles County: Preliminary Findings

Dawn Terashita, MD, MPH Acute Communicable Disease Control Los Angeles County Department of Public Health Allison Bearden, MD, MPH University of Southern California LAC+USC Medical Center

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Morbidity and Mortality

  • Influenza: 6th leading cause of death

among US adults

– Accounts for 23,000 deaths

  • 200,000+ annual hospitalizations for

respiratory and heart conditions illnesses associated with seasonal influenza virus infections

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Recent data supporting HCP vaccination

  • Presented at 41st annual conference of

APIC this summer

  • An analysis of 2009-2012 CDPH data
  • Purpose: To determine relationship

between vaccinating HCP against influenza and rate of influenza-like illness in surrounding community

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Study Conclusion

  • Conclusion:

– For every 15 healthcare providers who receive the influenza vaccination, 1 fewer persons in the community will contract an influenza-like illness – For the 2011-2012 influenza season, the influenza vaccination rate of California hospital HCP was 68%

  • If 90% of California’s healthcare personnel were

vaccinated---Healthy People 2020 initiative goal-- there would be approximately 30,000 fewer cases

  • f influenza-like illness in California

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Hospital-Onset Influenza

  • Data used from hospitals were part of Influenza

Hospitalization Surveillance Network (FluSurv- NET)

– Network conducting population-based surveillance in 16 states

  • 6,171 influenza-positive hospitalizations

– 172 (2.8%) were defined as hospital-onset (>3 days after admit)

Source M.A. Jhung et al. AJIC 42(2014)7-11

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Study Conclusion

  • Hospital-onset cases had greater length of

stay and were more likely to be admitted to the intensive care unit or die compared with community-onset cases

Source M.A. Jhung et al. AJIC 42(2014)7-11

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Supporting Rationale

  • Unvaccinated HCP can transmit flu to
  • ther HCP and patients

– Up to 25% of HCP infected with flu each season

  • HCP more likely to work when ill than
  • ther professions
  • Asymptomatic HCP can spread influenza

unknowingly

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Benefits of Immunized Workforce

  • Reduced absenteeism
  • Increased productivity
  • Effective in reducing influenza among

HCP and patients

  • Decreased morbidity and mortality among

patients

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Study Objectives

To evaluate the impact of the 2013 DPH Order

  • n:
  • 1. HCP vaccination rates
  • 2. Patient safety

– Incidence of nosocomial influenza

  • 3. Worker absenteeism
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Study Basics

  • Included in the study are the 94 acute care

facilities in LAC (excluding Pasadena and Long Beach)

– 2 seasons pre-order, 1 season post-order

  • The study involves:

– Review of mandatory reported HCP vaccination data – Direct laboratory influenza testing results – Survey data from IPs – Data from HR directors / staff on employee sick leave

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HCP Vaccination Rates

  • Using California DPH mandatory HCP

vaccination reporting data

  • Look for impact of order

– Expect increase in rates overall – Expect greatest increase in those facilities who did NOT previously practice mandatory masking (or other consequences) for those who declined vaccine

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HCP Absenteeism

  • Data from Human Resources / Admin

– Number of sick days per total employees

  • Challenge

– Who to contact for this information? – We have enlisted your help – You all received an email asking that you please:

  • 1. Identify correct person in HR or other admin
  • ffice (payroll, etc.) who can report # of sick days

for hospital employees

  • 2. Forward the email to that correct person
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Survey Snapshot

  • Web-based (Qualtrics)
  • Includes:

– nosocomial flu surveillance, definitions, and lab diagnostic method(s) – data on nosocomial influenza cases from

  • 2013-2014
  • 2012-2013
  • 2011-2012

– Details on each case

  • Sex, age, symptoms, patient location, etc.

– HCP vaccination policies at your facility – Implementation of the DPH 2013 order

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IP Line Lists

  • Asked to provide line list of cases

identified as nosocomial / hospital-onset influenza

  • Provides details and characterization of

cases

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Preliminary Results

  • 29 IP surveys completed
  • 14 IP line lists completed of cases identified as

nosocomial / hospital-onset influenza

  • 13 Lab Director line lists completed of positive

flu test obtained > 72 hours from admit

  • 16 Absenteeism forms completed
  • 8 Facilities have completed all study

components

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Descriptive Statistics

  • Among facilities with a completed IP

survey

– 8 (of 29) are teaching facilities

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2 4 6 8 10 12 14 16 Small facilities (1-100 beds) Medium facilities (101-350 beds) Large facilities (351 and > beds) Number of facilities

IP Surveys completed by Facility Size

  • No. of facilities
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Variable N %

  • No. of Reported Nosocomial Flu

Cases 55 Age (mean) 65.04 Gender (female) 25 45.4 Hospitalization location General Ward 38 69.1 Intensive Care Unit 5 9.1 Respiratory Unit 3 5.4 Definitive Observation Unit 3 5.4 Pediatric Unit 2 3.6 Rehabilitation Unit 1 1.8 Critical Care Unit 2 3.6 Post partum 1 1.8 Nosocomial Cases in 2011-12 1 1.8 Nosocomial Cases in 2012-13 33 60.0 Nosocomial Cases in 2013-14 21 38.2

IP Line List Descriptive Statistics

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Employee Absenteeism

Includes facility employees and staff, without distinguishing HCP

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Influenza Season Average missed days per employee* 2011-2012 3.9 2012-2013 5.2 2013-2014 1.0

*Includes facilities with complete numerator and denominator data †(n=14)

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Healthcare Personnel Vaccination/ Masking Rates

Influenza Season % of employees vaccinated % of employees who declined vaccination % of employees with an unknown vaccination status 2011-2012 69.4 25.6 5.6 2012-2013 75.9 24.8 3.6 2013-2014 87.2 9.5 2.7

†(n=29)

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Implementation of the Health Officer Order

  • On a scale of 0-5:

– 22 participants reported an average value of 2.77 (moderate difficulty relative to overall ease of implementation) – 23 participants reported an average value of 3.09 (fairly well accepted relative to overall HCP acceptance of the Health Officer Order) – 2.94 (among nurse practitioners) and 2.90 (among other employees with patient contact) moderate resistance relative to the amount of resistance encountered from HCP

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Highlights

  • Variability in surveillance definitions across

facilities

– >48 hours – 72 + hours – No timing reported

  • Approximately half of respondents (45%)

indicated obtaining additional vaccine for HCP following the order; Vaccine successfully obtained by all respondents

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Limitations

  • Absenteeism reported differently across

facilities

– May include vacation time – May include employees without direct patient contact

  • Limited responses and incomplete data

hinder robust analysis

  • Inherent variability between flu seasons

creates challenges in analysis

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Timeline

  • This month

– Receive follow up emails and phone calls to

  • btain project components

– IPs are asked to please identify and forward to correct HR person to assist with sick leave data

  • Send contact information to Jessica Silvaggio

(jsilvaggio@ph.lacounty.gov)

  • Fall 2014

– Present findings at local APIC chapters, conference calls, highlights, and conferences

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Thank you!

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Questions

Study Contacts:

Allison Bearden, MD/ MPH Study Coordinator 626-457-5820 Email: abearden@dhs.lacounty.gov Jessica Silvaggio, MPH Study Co-coordinator 213-240-7941 Email: jsilvaggio@ph.lacounty.gov Dawn Terashita, MD/ MPH Medical Epidemiologist 213-240-7941 Email: dterashita@ph.lacounty.gov Patricia Marquez, MPH Epidemiologist 213-240-7941 Email: pmarquez@ph.lacounty.gov

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