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Cross-sectional studies in prescribing research.

J Jesson1

  • 1Public Services Management, Aston Business School, Aston University, Birmingham B4 7ET, UK. J.K.Jesson@aston.ac.uk

Journal of Clinical Pharmacy and Therapeutics
|November 28, 2001
PubMed
Summary

This study outlines cross-sectional survey methods, highlighting challenges in primary care pharmacist research. Key issues included defining roles, creating sampling frames, and combating survey fatigue to improve response rates.

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Area of Science:

  • Health Services Research
  • Pharmacy Practice Research
  • Survey Methodology

Background:

  • Cross-sectional studies capture a population's snapshot at a specific time.
  • This paper details the principles and stages of the cross-sectional survey method.
  • Illustrative examples are drawn from primary care pharmacist surveys.

Purpose of the Study:

  • To describe the key features of the cross-sectional survey method.
  • To discuss the stages involved in conducting cross-sectional research.
  • To highlight challenges encountered in primary care pharmacist surveys.

Main Methods:

  • The study describes the principles of the cross-sectional survey method.
  • It outlines the stages of the research process.

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  • Two surveys of primary care pharmacists are used as case examples.

    • Main Results:

    • Four constraints were identified in prescribing studies: limited prior knowledge for questionnaire design, lack of a public sampling frame database, issues with defining and recognizing the Primary Care Pharmacist (PCP) role, and significant survey fatigue among pharmacists and General Practitioners (GPs).
    • These factors negatively impacted response rates.
    • Pragmatic sampling exercises were employed due to the absence of a suitable public database.

    Conclusions:

    • Effective planning, clear definition of roles (e.g., Primary Care Pharmacist), and strategies to mitigate survey fatigue are crucial for successful cross-sectional research, especially in specialized professional groups.
    • Addressing these constraints can improve the reliability and validity of findings from surveys of healthcare professionals.
    • Future research should consider innovative approaches to sampling and engagement to overcome declining response rates in professional surveys.