A Systems Approach to Continuity of Care Patient Attitude
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Transcript of A Systems Approach to Continuity of Care Patient Attitude
A Systems Approach to Continuity of CarePatient Attitude
A/Prof JP SturmbergUniversity of NSW
A/Prof F CarinciMonash Institute of Health Services Research
RACGP-conference, Perth 2002
Health Care System
Consultation(Outcomes)
Doctor Patient
Consultation(Process)
Systems-based Concept of Continuity of Care
Doctor-Patient Stability
Patient Satisfaction
+
ACCESSto care
Healthfinancing
+
The Need For a Systems Approach
MORBIDITY Psycho-social
-
Method
Health Care System
Low Attitude
Univariate OR (95%CI)
Time dedicated by GP – not always enough 1.77 (1.29-1.86)
Funding for health care – mix of private/public 0.69 (0.52-0.93)
Delay to get an appointment ns
Practice size ns
Billing by this doctor ns
Doctor
Low Attitude
Univariate OR (95%CI)
Knowledge about the patient ns
Consultation difficulty ns
Doctor’s holistic attitude ns
Patient
Low Attitude
Univariate OR (95%CI)
Gender – male 1.38 (1.03-2.41)
Age 65 2.40 (1.67-3.45)
Employment Status (RC=employed)
- Unemployed
- Social support pension
- Retired
1.75 (1.08-2.84)
1.79 (1.17-2.75)
2.28 (1.60-3.25)
Social problem – present 1.71 (1.26-2.32)
Health Status – poor health 1.46 (1.07-2.00)
Psychological problem ns
Patient’s knowledge about the doctor ns
Expecting a script ns
Consultation - Process
Low Attitude
Univariate OR (95%CI)
Communication – poor 1.45 (1.07-1.98)
Patient sent for investigations – no 0.71 (0.51-0.99)
Doctor requested this visit – no ns
Doctor-patient stability - low ns
Consultation length – 11-15 min
Consultation length – 11-10 min
ns
ns
Patient sent for secondary care – no ns
Consultation - Outcome
Low Attitude
Univariate OR (95%CI)
Patient Satisfaction – low 1.66 (1.17-2.36)
Enablement - moderate ns
Would you see this doctor again - no ns
Received a script for old and new medication - yes 1.87 (1.28-2.73)
Outcome = Low Patients’ Attitude towards medical careEvents = 259/1069Category* OR 95% CI
Pat
ien
tH
ealt
hS
yste
mC
on
su
lta
tio
n
(Pro
ce
ss)
Low 1.71 1.14-2.56Old and new medicine 2.26 1.55-3.28
Effect in aged 65 1.02 0.97-1.08Effect in aged 40, 65 0.99 0.92-1.06
Effect in aged 40 1.09 1.01-1.17Effect in aged 65 0.46 0.23-0.90
Effect in aged 40, 65 2.19 0.96-5.00Effect in aged < 40 1.75 0.69-4.44
Effect in aged 65 0.96 0.92-0.99Effect in aged 40, 65 1.03 1.00-1.07
Effect in aged < 40 0.98 0.93-1.03 0.92 0.86-0.98
Unknown in aged < 40 0.18 0.05-0.59Effect in aged 65 1.01 0.91-1.13
Effect in aged 40, 65 1.15 1.04-1.27Effect in aged < 40 0.89 0.79-0.99Effect in aged 65 1.02 0.58-1.79
Effect in aged 40, 65 1.27 0.70-2.29Effect in aged < 40 0.66 0.35-1.25
Unknown 0.48 0.31-0.75Private or mix 0.69 0.50-0.95
No 1.80 1.26-2.58Low 1.52 1.03-2.23
Missing 3.37 1.71-6.64Yes 2.31 1.37-3.88Yes 0.66 0.47-0.93
Administrative/None 2.00 1.21-3.32Social only 1.69 1.03-2.77
Yes 1.77 1.06-2.95Effect in aged 65 1.03 1.01-1.06
Effect in aged 40, 65 0.96 0.94-0.99Effect in aged <40 1.01 0.98-1.04
Effect in aged 65 0.98 0.59-1.64Effect in aged 40, 65 1.65 0.93-2.92
Effect in aged < 40 2.05 1.09-3.87
ODDS RATIO
0.25 0.50 1.00 2.00 5.00
Co
ns
ult
ati
on
(Ou
tco
me
)
Males (RC:females)
Age
Unemployment (RC:no)Self-reported morbidity(RC:physical only or complex)Psychological symptoms (RC:no)
Social symptoms (RC:no)
Practice Seize (RC: 1-3 GPs)
Patient knowledge of doctor (RC:high)Always enough time by GP (RC:yes)Financing for health (RC:public)Charging system (RC:known)
Doctor-patient stability
Doctor-patient communication
Length of consultation
Referral to secondary care (RC:yes)
Patient enablement
Patient satisfaction (RC:high)Prescription (RC: other)
Increased RiskDecreased Risk* red: significant increased risk; green: significant decreased risk.
When reference category is not indicated, effect is unit increase
Variable
Results of Multivariate Logistic Regression
Global correlates of low attitude
INCREASED RISK• Social Problem• Administrative Problem• Social Symptom• Not Knowing the Doctor• Not Having Enough Time with the Doctor• Receiving a Script for an Old and New Problem• Dissatisfaction
DECREASED RISK
• Psychological Symptoms• Mixed Funding of Health
Care• Better Communication
Age-specific correlates of low attitude
< 40 40, <65 65
Gender – Male
Increasing Age
Increasing Patient Enablement
Increasing Doctor-Patient Stability
Increasing Consultation Length
Referral – Not referred
Conclusions (1)
• Being young, middle-aged or old modifies the sense and strength of the association between gender, age, doctor-patient stability, length of consultation, patient enablement
• The effect of age itself changes:
“getting older” in middle aged is associated to better attitudes,
in old patients to lower attitude
Age is an important
effect modifier
Conclusions (2)
Vulnerable Groups• Patients presenting with issues of a social nature – frank social
problems or indirect social problems, eg. Related to DSS, Workers Compensation
• Patients who have not omitted to social problems
Stigma, Guilt, Shame
Somatisation
Lack of Coping
Lack of Social Support
Low self-esteem
Bad experienceswith family
doctors institutions
Dissatisfaction
Conclusions (3)
Not Knowing the Doctor
Experiential Reasons for not seeing the same doctor
Wanting to maintain anonymity
Difficulties accessing the same doctor
Communication Difficulties
Missing psychosocial dimensions
High prescribing rates
More investigations
Dissatisfaction
Lack of tacit knowledge
Conclusions (4)
Systems Effects
Doctor does not have enough time for
patient
Mixed funding for health care
Doctor too busy
• Patient too demanding• Complex Morbidity ?
Conclusions (5)
Practice Size
TREND (NS):Young patients with a holistic
attitude seem to prefer large
practices
Do they seek anonymity?
Do they more easily find the doctor that suits their needs?
Conclusions (6)
Paradoxes
Middle-aged patients who are NOT referred have low holistic attitude
Old patients who are NOT referred have high holistic attitude
Young patients seeking stable doctor-patient relationship
Middle-aged patients avoiding a stable doctor-patient relationship
Summary
• Multivariate logistic regression identifies factors associated to a target outcome
• Sophisticated strategy is needed to increase precision of the final model
• Sense and strength of association between different characteristics and holistic attitudes changes across different age groups
• A systems approach is needed to explain the complex relationships between different dimensions and component variables