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Assessing patient preferences in heart failure using conjoint methodology.

Pisa G, Eichmann F, Hupfer S - Patient Prefer Adherence (2015)

Bottom Line: Overall average EQ-5D score was 0.39 with stable, chronic patients (never hospitalized) having a significantly better health state vs the rest of the cohort.This paper analyzed patient preference in HF using a conjoint methodology.The preference weights resulting from the conjoint analysis could be used in future to design HRQoL questionnaires which could better assess patient preferences in HF care.

View Article: PubMed Central - PubMed

Affiliation: Kantar Health GmbH, Munich, Germany.

ABSTRACT

Aim: The course of heart failure (HF) is characterized by frequent hospitalizations, a high mortality rate, as well as a severely impaired health-related quality of life (HRQoL). To optimize disease management, understanding of patient preferences is crucial. We aimed to assess patient preferences using conjoint methodology and HRQoL in patients with HF.

Methods: Two modules were applied: an initial qualitative module, consisting of in-depth interviews with 12 HF patients, and the main quantitative module in 300 HF patients from across Germany. Patients were stratified according to the time of their last HF hospitalization. Each patient was presented with ten different scenarios during the conjoint exercise. Additionally, patients completed the generic HRQoL instrument, EuroQol health questionnaire (EQ-5D™).

Results: The attribute with the highest relative importance was dyspnea (44%), followed by physical capacity (18%). Of similar importance were exhaustion during mental activities (13%), fear due to HF (13%), and autonomy (12%). The most affected HRQoL dimensions according to the EQ-5D questionnaire were anxiety/depression (23% with severe problems), pain/discomfort (19%), and usual activities (15%). Overall average EQ-5D score was 0.39 with stable, chronic patients (never hospitalized) having a significantly better health state vs the rest of the cohort.

Conclusion: This paper analyzed patient preference in HF using a conjoint methodology. The preference weights resulting from the conjoint analysis could be used in future to design HRQoL questionnaires which could better assess patient preferences in HF care.

No MeSH data available.


Related in: MedlinePlus

Choice task example.Abbreviation: HF, heart failure.
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f1-ppa-9-1233: Choice task example.Abbreviation: HF, heart failure.

Mentions: Each patient was presented with ten different scenarios (choice tasks) during the conjoint exercise. A choice task consisted of three patient profiles (defined by the systematic variation of the attribute levels) among which the patient had to choose (Figure 1).


Assessing patient preferences in heart failure using conjoint methodology.

Pisa G, Eichmann F, Hupfer S - Patient Prefer Adherence (2015)

Choice task example.Abbreviation: HF, heart failure.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4556263&req=5

f1-ppa-9-1233: Choice task example.Abbreviation: HF, heart failure.
Mentions: Each patient was presented with ten different scenarios (choice tasks) during the conjoint exercise. A choice task consisted of three patient profiles (defined by the systematic variation of the attribute levels) among which the patient had to choose (Figure 1).

Bottom Line: Overall average EQ-5D score was 0.39 with stable, chronic patients (never hospitalized) having a significantly better health state vs the rest of the cohort.This paper analyzed patient preference in HF using a conjoint methodology.The preference weights resulting from the conjoint analysis could be used in future to design HRQoL questionnaires which could better assess patient preferences in HF care.

View Article: PubMed Central - PubMed

Affiliation: Kantar Health GmbH, Munich, Germany.

ABSTRACT

Aim: The course of heart failure (HF) is characterized by frequent hospitalizations, a high mortality rate, as well as a severely impaired health-related quality of life (HRQoL). To optimize disease management, understanding of patient preferences is crucial. We aimed to assess patient preferences using conjoint methodology and HRQoL in patients with HF.

Methods: Two modules were applied: an initial qualitative module, consisting of in-depth interviews with 12 HF patients, and the main quantitative module in 300 HF patients from across Germany. Patients were stratified according to the time of their last HF hospitalization. Each patient was presented with ten different scenarios during the conjoint exercise. Additionally, patients completed the generic HRQoL instrument, EuroQol health questionnaire (EQ-5D™).

Results: The attribute with the highest relative importance was dyspnea (44%), followed by physical capacity (18%). Of similar importance were exhaustion during mental activities (13%), fear due to HF (13%), and autonomy (12%). The most affected HRQoL dimensions according to the EQ-5D questionnaire were anxiety/depression (23% with severe problems), pain/discomfort (19%), and usual activities (15%). Overall average EQ-5D score was 0.39 with stable, chronic patients (never hospitalized) having a significantly better health state vs the rest of the cohort.

Conclusion: This paper analyzed patient preference in HF using a conjoint methodology. The preference weights resulting from the conjoint analysis could be used in future to design HRQoL questionnaires which could better assess patient preferences in HF care.

No MeSH data available.


Related in: MedlinePlus