Introduction
The Person-Centered Primary Care Measure (PCPCM) (online supplemental appendix 1) was developed in 2019 in the USA from extensive surveys that asked hundreds of patients, clinicians and payers what matters in (primary) healthcare. The findings were analysed and then refined at the Starfield Summit III with the aim to measure concisely the value of a primary care practice. The Measure had undergone three sets of psychometric analyses with its construct identified, its reliability and concurrent validity confirmed.1 It has been fielded with success in 35 Organisation for Economic Co-operation and Development countries since its emergence.2 It is a simple yet comprehensive measure featuring the important domains of primary care including accessibility, advocacy, community context, comprehensiveness, continuity, coordination, family context, goal-oriented care, health promotion, integration and relationship.1 Each item is scored on a 4-point scale: definitely, mostly, somewhat and not at all. To fill out the questionnaire, information processing including interpretation of the questions and recalling of the clinic experience would be needed from the patients. They have to decide on their way of response and choose a response option which best fits them.3–5 Subjects have to interpret the meaning of words or phrases in the questionnaire. Previous experience in the field revealed that translation itself (of questionnaires from a foreign language) may be a source of confusion for the respondents.5 6 When response options do not correspond to the subjects’ situations, they may become confused and do not know which response option to choose.4 5 Researchers need to look for the problems and correct them before the questionnaire can be formally administered in the general population.
In order for the PCPCM to be applicable to another culture, it has to be translated to the native language and confirmed to be valid in the target population. Ensuring the content validity in that target subjects’ interpretation of the questionnaire items being equivalent to what the original questionnaire developer intends to measure is a prerequisite for further psychometric testing. Moreover, the response options of each item need to allow the subjects to respond in the way which best fits their opinions and situations.
The National Center for Health Statistics Questionnaire Design Research Laboratory at the Centers for Disease Control and Prevention advises adopting cognitive debriefing to identify any problem or confusion in questionnaires.4 In cognitive debriefing, interviewers apply one-on-one interviews to investigate the approach subjects employed to process the data when they answer the questions. Problems in item interpretation, decision processes and response option selection can be recognised. Other problems, for instance, instructions, design and structure of the questionnaire, can also be identified through cognitive debriefing.4 5
This paper describes our first step to adapt the PCPCM for the evaluation of patient-centred care in primary care in Hong Kong where 95% of the population are Chinese. The aim of this study was to establish the cultural adaptability and content validity of a Chinese version of the PCPCM. The objectives were to develop an equivalent Chinese translation of the PCPCM and to evaluate the clarity, understanding and relevance of each item. This will in turn provide an equivalent Chinese PCPCM that is applicable to Chinese primary care patients for pilot psychometric testing. We believe, with a validated Measure, the performance of various primary care practices in our community would be accurately reflected and could provide guidance for the government and consumers on health resources allocation.