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Research ArticleOriginal Research

Reducing Primary Care Attendance Intentions for Pediatric Respiratory Tract Infections

Annegret Schneider, Christie Cabral, Natalie Herd, Alastair Hay, Joanna May Kesten, Emma Anderson, Isabel Lane, Charles Beck and Susan Michie
The Annals of Family Medicine May 2019, 17 (3) 239-249; DOI: https://doi.org/10.1370/afm.2392
Annegret Schneider
1University College London, London, United Kingdom
2NIHR Health Protection Research Unit in Evaluation of Interventions, Bristol, United Kingdom
Dipl-Psych, PhD
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  • For correspondence: a.schneider@ucl.ac.uk
Christie Cabral
3University of Bristol, Bristol, United Kingdom
MRes, PhD
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Natalie Herd
1University College London, London, United Kingdom
2NIHR Health Protection Research Unit in Evaluation of Interventions, Bristol, United Kingdom
PhD
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Alastair Hay
2NIHR Health Protection Research Unit in Evaluation of Interventions, Bristol, United Kingdom
3University of Bristol, Bristol, United Kingdom
FRCGP
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Joanna May Kesten
2NIHR Health Protection Research Unit in Evaluation of Interventions, Bristol, United Kingdom
3University of Bristol, Bristol, United Kingdom
4NIHR Collaboration for Leadership in Applied Health Research and Care West, Bristol, United Kingdom
PhD
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Emma Anderson
2NIHR Health Protection Research Unit in Evaluation of Interventions, Bristol, United Kingdom
3University of Bristol, Bristol, United Kingdom
MSc, DHealthPsych
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Isabel Lane
3University of Bristol, Bristol, United Kingdom
MRes, MRCGP
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Charles Beck
5Public Health England, Bristol, United Kingdom
MPH, PhD
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Susan Michie
1University College London, London, United Kingdom
2NIHR Health Protection Research Unit in Evaluation of Interventions, Bristol, United Kingdom
DPhil
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  • Figure 1
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    Figure 1

    Standardized estimates for the adjusted intervention path model.

    Not statistically significant effects and residual error terms are omitted for ease of interpretation

    aP <.01

    bP <.05

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    Figure 2

    Information components included in the intervention rated by perceived importance.

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    Table 1

    Details of Survey Used to Assess the Target Constructs in Order of Appearance

    Target Construct/ScaleaItemsAnswer FormatReliability (Cronbach’s α)
    Main outcome
    Intentions–primary care attendance intentions29,31–35I want to visit a GP today/I intend to visit a GP today.b5-point scale0.94
    Potential mediating factors
    Social influence-social norms about primary care attendance31,32,35People around me think I need to visit a GP today/approve of me visiting a GP today/think I do not need to visit a GP today.b5-point scale0.81
    Emotions-worry/perceived severity of a health threat36Would you say that your child’s symptoms, as described in the illness scenario, suggest that the illness is severe/serious/significant/worrying/normal (given where I live and time of year)?b5-point scale0.84
    Knowledge-information sufficiency37,38How much do you think you currently know about the illness as described in the scenario?Scale of 0 to 100…
    How much knowledge would you need to adequately care for your child showing the described symptoms? You might feel you need the same/more/less, information about the topic.Scale of 0 to 100…
    What additional information would you need to adequately care for your child showing the described symptoms? Please describe.Open-ended question…
    Knowledge/skills/resources-viral illness knowledge and home-care test29Thinking about the illness scenario, do you think the cause of your child’s symptoms is a viral infection/bacterial infection?True/False/I don’t know…
    Approximately how long do you think the symptoms of illness (fever/high temperature/sore throat/cough) in your child could last, from start to finish without any antibiotics?Estimation in days…
    How would you care for your child at home? Strategies and further resources?Open-ended question…
    Reflective motivation-beliefs about home-care capabilities39When my child shows the symptoms described in the scenario, I feel confident about looking after them at home/taking their temperature/seeing if they need more fluids/checking for a rash/seeking advice from online resources/seeking advice or help from family and friends/seeking advice or help from health care professionals.5-point scale0.81
    Knowledge/beliefs-antibiotic use40–42Are most cold, cough, and flu illnesses caused by bacteria or viruses?Multiple choice…
    Are antibiotics helpful in treating bacterial infections, viral infection, or both?Multiple choice…
    How often are antibiotics needed for cough or bronchitis/sore throat/fever/earache/tiredness and aching/vomiting?5-point scale…
    If my child does not receive an antibiotic for cold, cough, and flu symptoms, they will be sick for a longer time.5-point scale…
    Intervention material feedback
    Clarity43Not at all understandable/very understandable7-point scale0.93
    Not at all comprehensible/very comprehensible
    Does not make sense/makes sense
    Confusing arguments/clear arguments
    Unclear information presented/clear information presented
    Credibility43Credible information presented/information presented not credibleb7-point scale0.85
    Valid claims/invalid claimsb
    Presented accurate information/did not present accurate informationb
    Cognitive challenge43Not intellectually stimulating/intellectually stimulating7-point scale0.70
    Not intellectually engaging/intellectually engaging
    Would make people think/would not make people thinkb
    Not at all thought-provoking/thought-provoking
    Did not really make me think/really made me think
    Emotional arousal44Powerful impact/weak impactb7-point scale0.87
    Emotional/unemotionalb
    Involving/uninvolvingb
    Boring/exciting
    Arousing/not arousingb
    Stimulating/not stimulatingb
    Strong visuals/weak visualsb
    Novelty44Unique/commonb7-point scale0.72
    Novel/ordinaryb
    Unusual/usualb
    • GP = general practitioner.

    • ↵a References to measures survey scales were based on.

    • ↵b Reverse coded item.

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    Table 2

    Demographic and Clinical Characteristics of the Sample

    CharacteristicsTotal Sample (N = 806), No. (%)Intervention Group (n = 403), No. (%)Control Group (n = 403), No. (%)
    Mother
    Age, y
     18–29145 (18.0)74 (18.4)71 (17.6)
     30–39412 (51.1)208 (51.6)204 (50.6)
     40–65249 (30.9)121 (30.0)128 (31.8)
    Region
     Northern England235 (29.2)123 (30.5)112 (27.8)
     Southern England223 (27.7)115 (28.5)108 (26.8)
     Midlands139 (17.2)75 (18.6)64 (15.9)
     Greater London135 (16.7)56 (13.9)79 (19.6)
     East of England74 (9.2)34 (8.4)40 (9.9)
    Employment status
     Employed578 (71.7)285 (70.7)293 (72.7)
     Full-time parent/homemaker182 (22.6)93 (23.1)89 (22.1)
     Unemployed36 (4.5)22 (5.5)14 (3.5)
     Student/pupil8 (1.0)1 (0.2)7 (1.7)
     Retired2 (0.2)2 (0.5)0 (0.0)
    Education
     No official qualification15 (1.9)6 (1.5)9 (2.2)
     School-leaving qualification387 (48)205 (50.9)182 (45.2)
     University qualification404 (50.1)192 (47.6)212 (52.6)
    Ethnicity
     White681 (84.5)347 (86.1)334 (82.9)
     Asian67 (8.3)31 (7.7)36 (8.9)
     Black27 (3.3)11 (2.7)16 (4.0)
     Mixed5 (0.6)10 (2.5)12 (3.0)
     Rather not answer5 (0.6)2 (0.5)3 (0.7)
     Other group4 (0.5)2 (0.5)2 (0.5)
    Caregiving role for youngest child
     Primary caregiver566 (70.2)282 (70.0)284 (70.5)
     Shared caregiving role240 (29.8)121 (30.0)119 (29.5)
    Youngest child
    Sex
     Boy388 (48.1)191 (47.4)197 (48.9)
     Girl418 (51.9)212 (52.6)206 (51.1)
    Age, y
     0.25–4282 (35.0)140 (34.7)142 (35.2)
     5–8276 (34.2)148 (36.7)128 (31.8)
     9–12248 (30.8)115 (28.5)133 (33.0)
    Primary care visits in past year
     0191 (23.7)94 (23.3)97 (24.1)
     1250 (31.0)136 (33.7)114 (28.3)
     2185 (23.0)89 (22.1)96 (23.8)
     >3180 (22.3)84 (20.8)96 (23.8)
    Chronic health issues
     No724 (89.8)366 (90.8)358 (88.8)
     Yes82 (10.2)37 (9.2)45 (11.2)
    • View popup
    Table 3

    Bootstrapped Multiple Regression Model Summary Predicting Primary Care Attendance Intentions

    ParameterB (95% CI)SEP Value
    Intercept9.21 (7.23 to 11.11)1.05.001a
    Intervention−1.62 (−1.97 to −1.30)0.18.001a
    Demographics
     Age−0.01 (−0.04 to 0.02)0.01.408
     Region
      Northern England1 [Reference]……
      Southern England0.09 (−0.34 to 0.53)0.23.711
      Midlands−0.27 (−0.82 to 0.24)0.27.310
      Greater London0.66 (0.17 to 1.10)0.24.001a
      East of England0.07 (−0.58 to 0.71)0.32.858
     Employment status
      Employed1 [Reference]……
      Full-time parent/homemaker−0.09 (−0.53 to 0.32)0.22.663
      Unemployed0.57 (−0.20 to 1.27)0.40.150
      Student/pupil0.52 (−0.49 to 1.55)0.54.32
      Retired0.29 (−0.88 to 1.43)0.57.628
     Education
      No official qualification1 [Reference]……
      School-leaving qualification−0.32 (−1.74 to 1.10)0.71.636
      University qualification−0.38 (−1.78 to 1.04)0.72.581
     Ethnicity
      White1 [Reference]……
      Asian0.85 (0.30 to 1.32)0.24.002b
      Black−1.98 (−2.80 to −1.09)0.41.001a
      Mixed−0.64 (−1.76 to 0.50)0.59.273
    Caregiver role0.30 (−0.11 to 0.72)0.19.117
    Sex of youngest child0.03 (−0.30 to 0.38)0.17.864
    Age of youngest child−0.08 (−0.14 to −0.02)0.03.011c
    Clinical characteristics
     GP visits with youngest child in past year0.10 (0.01 to 0.23)0.06.083
     Chronic health issues of youngest child−0.20 (−0.75 to 0.37)0.28.471
    • B = regression coefficient; GP = general practitioner; SE = standard error.

    • ↵a P ≤.001

    • ↵b P ≤.01

    • ↵c P ≤.05

    • View popup
    Table 4

    Bootstrapped Effects of the Intervention on Mediating Factors and Primary Care Attendance Intentions

    Intervention EffectsB (95% CI)SEP Value
    Direct effects
    Infection and antibiotic knowledge0.18 (0.12 to 0.24)0.03.002a
    Worry/perceived severity−0.14 (−0.20 to −0.08)0.03.002a
    Social norms concerning primary care attendance−0.23 (−0.30 to −0.17)0.03.002a
    Number of mentioned resources−0.13 (−0.19 to −0.06)0.03.002a
    Primary care attendance intentions−0.09 (−0.14 to −0.04)0.03.003a
    Indirect effects
    Confidence in home-care capabilities0.04 (0.01 to 0.07)0.02.008a
    Worry/perceived severity−0.15 (−0.19 to −0.11)0.02.002a
    Social norms concerning primary care attendance−0.02 (−0.04 to −0.01)0.01.003a
    Number of mentioned resources0.03 (0.02 to 0.05)0.01.001b
    Primary care attendance intentions−0.23 (−0.28 to −0.18)0.03.002a
    • B = regression coefficient; SE = standard error.

    • ↵a P ≤.01

    • ↵b P ≤.001

Additional Files

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  • Supplemental Appendixes 1-4

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    • Supplemental data: Appendixes 1-4 - PDF file
    • Supplemental data: Appendixes 1-4 - PDF file
  • The Article in Brief

    Reducing Primary Care Attendance Intentions for Pediatric Respiratory Tract Infections

    Annegret Schneider , and colleagues

    Background Respiratory tract infections are a common reason that children visit a primary care clinician, yet such visits are costly, time-consuming and can lead to unnecessary antibiotic prescribing. This study examines whether providing mothers with actionable information can reduce their intentions to visit primary care for their children's respiratory tract infections.

    What This Study Found An online intervention with real-time information on locally circulating viruses may reduce mothers� intentions to visit their primary care doctor. A representative sample of mothers in the United Kingdom (N = 806) was randomized to receive the online intervention, including locally enhanced influenza statistics, symptom information, and home-care advice, either before (intervention group) or after (control group) responding to a hypothetical respiratory tract infection illness scenario. Participants in the intervention group had lower intentions to visit the doctor than those in the control group when adjusted for demographic and clinical characteristics. Intervention material was generally well received, with information on symptoms and when to visit the primary care doctor rated as more important than information on locally circulating viruses.

    Implications

    • If the intervention were rolled out widely, the authors surmise that it would have impact, given the high rates at which parents of children with respiratory tract infections visit primary care clinicians..
    • The authors call for research to evaluate intervention effects on observed behavioral outcomes in real-world settings and examine long-term effects and cost-effectiveness
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The Annals of Family Medicine: 17 (3)
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Reducing Primary Care Attendance Intentions for Pediatric Respiratory Tract Infections
Annegret Schneider, Christie Cabral, Natalie Herd, Alastair Hay, Joanna May Kesten, Emma Anderson, Isabel Lane, Charles Beck, Susan Michie
The Annals of Family Medicine May 2019, 17 (3) 239-249; DOI: 10.1370/afm.2392

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Reducing Primary Care Attendance Intentions for Pediatric Respiratory Tract Infections
Annegret Schneider, Christie Cabral, Natalie Herd, Alastair Hay, Joanna May Kesten, Emma Anderson, Isabel Lane, Charles Beck, Susan Michie
The Annals of Family Medicine May 2019, 17 (3) 239-249; DOI: 10.1370/afm.2392
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