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BMC Health Services Research

, 18:940 | Cite as

Correction to: Frequency and predictors of health services use by native Hawaiians and Pacific islanders: evidence from the U.S. National Health Interview Survey

  • Marie-Rachelle Narcisse
  • Holly Felix
  • Christopher R. Long
  • Teresa Hudson
  • Nalin Payakachat
  • Zoran Bursac
  • Pearl A. McElfish
Open Access
Correction
  • 60 Downloads

Correction to: BMC Health Services Research (2018) 18:575

https://doi.org/10.1186/s12913-018-3368-3

Following publication of the original article [1], the author reported the following errors in Table 1 and Table 2.
Table 1

Describing NHPIs’ Health Services Use based on Andersen’s Model

n = 2172

Percentages or Meansa

95% Confidence Intervals or Standard Errors

Health care utilization: Outcomes

 ED/ER visits

  Non-Users

81.6

79.1–83.9

  Single-users (1 visit/year)

11.4

9.6–13.5

  Multiple-users (≥2 visits/year)

7.0

5.9–8.4

 Outpatient services

  Non-Users

26.6

24.0–29.3

  Occasional-users (1–3 visits/year)

46.1

42.8–49.4

  Moderate-users (4–9 visits/year)

17.0

14.9–19.3

  Frequent-users (≥10 visits/year)

10.4

8.5–12.6

Predisposing factors

  Age (mean)

40.8

39.9–41.7

  Females

50.2

46.2–54.2

 Education level

  Less than high school

10.2

8.0–13.0

  High-school/GED

39.6

36.1–43.3

  High-school or more

50.2

47.0–53.8

 Married; living with a partner (yes)

60.7

57.5–63.9

 Unemployed

33.1

28.5–38.0

 Born in the US (yes)

70.5

66.9–73.9

Enabling factors

 Poverty level

   < 100% FPL

15.9

12.9–19.5

  100–199% FPL

24.1

21.4–27.1

  200–399% FPL

29.8

26.5–33.3

   ≥ 400% FPL

30.2

28.3–32.2

 Uninsured (yes)

6.2

4.8–8.0

 Usual source of routine/preventive care (yes)

87.4

84.9–89.6

 Use eHealth information (yes)

19.3

17.0–21.9

 Ability to afford health care (mean, standard error)

0.3

0.02

 Neighborhood social support (mean, standard error)

12.4

3.1

 Barriers to health care access (mean, standard error)

0.1

0.02

Needs

 Evaluated needs (number of CDs)

  0

39.7

35.9–43.7

  1

23.9

21.3–26.7

   ≥ 2

36.4

33.9–38.9

 Perceived needs (Health Status)

  Poor-Fair

13.7

12.3–15.1

  Good

28.3

25.1–31.7

  Very good

30.0

26.8–33.3

  Excellent

28.0

23.9–32.6

Source: NHPI-NHIS 2014

aWeighted means and percentages. Valid estimates do not account for missing data

Note: FPL: Federal Poverty Level. CD: Chronic Diseases. GED: General Educational Development

ED/ER: Emergency department/Emergency room. US: United States

Table 2

Predicting use of ED services among NHPIs: Odds-Ratio and Confidence Interval (95% CI)a

 

Model 1: Predisposing, Enabling, and Evaluated Needs

 

Model 2: Predisposing, Enabling, and Perceived Needs

Predisposing factors

Single

vs. Non-Users

Multiple

vs. Non-Users

Multiple

vs. Single

 

Single

vs. Non-Users

Multiple

vs. Non-Users

Multiple

vs. Single

 Age

1.007

(0.997–1.018)

1.010

(0.993–1.027)

1.002

(0.993–1.011)

 

1.008

(0.997–1.020)

1.015*

(1.001–1.030)

1.007

(0.998–1.015)

 Females

0.861

(0.627–1.181)

0.823

(0.538–1.261)

0.957

(0.801–1.143)

 

0.914

(0.707–1.182)

0.852

(0.526–1.383)

0.933

(0.731–1.191)

 High-school or less

1.083

(0.564–2.081)

1.109

(0.487–2.526)

1.024

(0.851–1.232)

 

1.088

(0.621–1.906)

1.161

(0.451–2.988)

1.067

(0.721–1.581)

 High-school/GED

1.208

(0.795–1.835)

1.277

(0.815–2.000)

1.057

(0.901–1.240)

 

1.061

(0.721–1.563)

1.111

(0.590–2.092)

1.047

(0.815–1.345)

 Married/living with partner

0.721

(0.423–1.228)

0.655

(0.333–1.288)

0.908

(0.648–1.273)

 

0.757

(0.441–1.298)

0.609

(0.279–1.329)

0.806

(0.566–1.148)

 Unemployed

1.002

(0.652–1.540)

1.003

(0.575–1.748)

1.001

(0.882–1.135)

 

0.951

(0.694–1.304)

0.915

(0.518–1.616)

0.962

(0.742–1.246)

 Born in the US

1.302

(0.841–2.014)

1.407

(0.810–2.445)

1.081

(0.823–1.420)

 

1.184

(0.793–1.767)

1.349

(0.703–2.590)

1.140

(0.841–1.544)

Enabling factors

  < 100% FPL

1.387

(0.705–2.731)

1.528

(0.563–4.148)

1.101

(0.716–1.695)

 

1.158

(0.620–2.164)

1.297

(0.391–4.304)

1.120

(0.621–2.022)

 100–199% FPL

1.433

(0.875–2.348)

1.593*

(1.023–2.482)

1.112

(0.829–1.492)

 

1.128

(0.738–1.726)

1.239

(0.633–2.427)

1.098

(0.838–1.440)

 200–399% FPL

1.003

(0.656–1.533)

1.004

(0.580–1.738)

1.001

(0.883–1.134)

 

0.925

(0.645–1.328)

0.871

(0.460–1.650)

0.942

(0.708–1.254)

 Uninsured

0.920

(0.263–3.224)

0.898

(0.166–4.850)

0.976

(0.631–1.509)

 

0.936

(0.369–2.379)

0.890

(0.159–4.982)

0.950

(0.431–2.097)

 Usual source of care

1.102

(0.425–2.859)

1.134

(0.315–4.085)

1.029

(0.734–1.443)

 

1.086

(0.464–2.538)

1.157

(0.251–5.329)

1.066

(0.538–2.110)

 Use eHealth information

1.520

(0.917–2.519)

1.719*

(1.080–2.736)

1.131

(0.792–1.616)

 

1.436

(0.912–2.262)

1.901*

(1.137–3.180)

1.117

(0.873–1.430)

 Ability to afford health care

1.236

(0.990–1.543)

1.316

(0.823–2.105)

1.064

(0.809–1.400)

 

1.154

(0.980–1.359)

1.290

(0.893–1.864)

1.12

(0.873–1.437)

 Neighborhood social support

0.951

(0.884–1.023)

0.937*

(0.881–0.997)

0.985

(0.948–1.025)

 

0.971

(0.914–1.031)

0.948

(0.877–1.026)

0.977

(0.949–1.006)

 Barriers to health care access

1.138

(0.809–1.601)

1.183

(0.797–1.756)

1.039

(0.916–1.179)

 

1.151

(0.837–1.582)

1.283

(0.804–2.048)

1.115

(0.916–1.357)

Evaluated needs (CDs)

   

Perceived needs (health status)

   

 1

1.191

(0.763–1.860)

1.254

(0.715–2.199)

1.053

(0.862–1.286)

Good

0.484*

(0.282–0.830)

0.275**

(0.107–0.708)

0.570

(0.241–1.347)

  ≥ 2

1.881

(0.971–3.645)

2.267**

(1.399–3.672)

1.205

(0.714–2.034)

Very good

0.369**

(0.202–0.674)

0.170***

(0.074–0.391)

0.462

(0.161–1.324)

    

Excellent

0.451**

(0.254–0.801)

0.243**

(0.090–0.659)

0.540

(0.212–1.374)

Source: NHPI-NHIS 2014

aReferent: More than high-school; other marital status (widowed, divorced or separated, never married); ≥400% FPL; insured; no usual source of care; did not use eHealth; No CD; poor-fair health)

Note: FPL: Federal Poverty Level. CD: Chronic Diseases. GED: General Educational Development

ED/ER: Emergency department/Emergency room. US: United States

*p < 0.05, **p < 0.01, ***p < 0.001

Table 1 - The numbers in the first row labeled ‘Non-Users’ should read “81.6” and “79.1–83.9” instead of “816” and “791–839”.

Table 2 - In the row labeled “High school/GED” under the “ Model 2: Predisposing, Enabling, and Perceived Needs ” heading, two of the three cells contain inaccurate results as mentioned below:

Incorrect values:

Single vs. Non-Users:
  • 1.088

  • (0.621–1.906)

Multiple vs. Single:
  • 1.067

  • (0.721–1.581)

Correct values:

Single vs. Non-Users:
  • 1.061

  • (0.721–1.563)

Multiple vs. Single:
  • 1.047

  • (0.815–1.345)

Reference

  1. 1.
    Narcisse M-R, et al. Frequency and predictors of health services use by native Hawaiians and Pacific islanders: evidence from the U.S. National Health Interview Survey. BMC Health Serv Res. 2018;18:575.  https://doi.org/10.1186/s12913-018-3368-3.CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© The Author(s). 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  • Marie-Rachelle Narcisse
    • 1
  • Holly Felix
    • 2
  • Christopher R. Long
    • 1
  • Teresa Hudson
    • 3
  • Nalin Payakachat
    • 4
  • Zoran Bursac
    • 5
  • Pearl A. McElfish
    • 1
  1. 1.Office of Community Health and ResearchUniversity of Arkansas for Medical Sciences NorthwestFayettevilleUSA
  2. 2.Fay W. Boozman College of Public HealthUniversity of Arkansas for Medical SciencesLittle RockUSA
  3. 3.Division of Health Services ResearchUniversity of Arkansas for Medical SciencesLittle RockUSA
  4. 4.Division of Pharmaceutical Evaluation and PolicyLittle RockUSA
  5. 5.Division of BiostatisticsUniversity of Tennessee Health Science CenterMemphisUSA

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