Table 2 Characteristics of included studies (n = 19).
Author, Study Setting | Study Aim | Study Design and Methodology | Health condition/setting (family physician GP or other) | Type of Genetic Testing | Participants (n) | Sex (male/female) |
|---|---|---|---|---|---|---|
Harris et al., [31], USA | To assess the acceptability of integrating CF carrier testing into antenatal care by GPs at the first booking appt. | Questionnaires, interviews | Cystic fibrosis (Primary Care) | Carrier screening | n = 75 | 42 women in one group and 34 (cis) couples in the other. |
Leventhal et al. 2012, USA | We explored primary care patients’ interest, attitudes, and preferences related to genomic testing and receipt of test results for common complex diseases. | Focus groups | Colorectal cancer (Primary Care) | SNP testing for colorectal cancer risk. | n = 24 | 62% female |
Armstrong et al., [27], USA | The objective of the study was to investigate the factors associated with interest in BRCA1/2 testing among primary care patients receiving only limited information about testing. | Cross sectional Survey | Breast cancer (Primary Care) | Screening for BRCA 1/2 | n = 242 | All female |
Williams et al., [28], USA | To compare group differences in familiarity. perceptions, and preferences for precision medicine. | Cross sectional Survey | (Primary Care) | Precision and personalised medicine | n = 252 | 35.5%/65.1% |
Miller et al., [29], USA | To explore the expectations of patients or the PCP role once genetic test results are received | Semi-structured interviews | Breast/ovarian cancer or hereditary nonpolyposis colorectal cancer (Primary Care) | Genetic testing for BRCA1, BRCA2, HNPCC | Set 1: 25 Set 2: 21 | Set 1: Females 22 Males 3; Set 2 Females 19 Males 2 |
Saya et al., [39], Australia | To explore informed decision-making and attitudes towards genomic testing to predict personal risk of colorectal cancer (CRC) | Quantitative: survey; Qualitative: interview | Colorectal cancer (Primary Care) | Colorectal cancer genomic test to predict personal risk of colorectal cancer | Quantitative: 135 Qualitative: 16 | Qualitative: n = 12/4 Quantitative: n = 46/89 |
Silva et al., [38], UK | To explore patient and health professional experiences of introducing genetic testing with case finding for FH in primary care | Qualitative: Semi-structured interviews | Familial hypercholesterolaemia (FH)/(General practice) | Diagnostic genetic testing for familial hypercholesterolaemia | 24 PCP, 17 PC Professionals | n = 11/13 |
Rogausch et al., [32], Germany | To explore patients and physicians’ perspectives on the potential implications of pharmacogenetic testing, and to analyse the possible determinants of their expectations | Cross-sectional study using telephone interviews | Pharmacogenetics (Primary Care | Pharmacogenetics | Patients, n = 196; GPs, n = 106 | Patients: 55% female; GPs: 25% female |
Hernandez et al., [33], Germany | Generate stakeholder input for a statewide strategic plan for genetic services in the southwestern region of the United States | Semi-moderated focus groups consumers and service providers | Rare genetic diseases (Primary Care) | Genetic screening | 28 consumers and 38 service providers | n = 11/55 |
Poppelaars et al., [34], Germany | This qualitative study aimed to explore possibilities and barriers in the implementation of a nationwide preconceptional cystic fibrosis (CF) carrier screening programme. | Focus Groups | Cystic fibrosis (General practitioners and municipal health service workers) | Cystic fibrosis carrier screening | n = 46 | n = 19/27 |
Teixeira et al., [36], France | To explore hereditary haemochromatosis (HH) patients’ perspectives on genetic information, namely the types of sources used, preferred or trusted. | Qualitative Online survey | Haemochromatosis (Primary Care) | Genetic screening | n = 895 | n = 378/517 |
Middlemass et al., [44], Canada | To explore how patients who have had a recent conventional cardiovascular risk assessment, perceive additional information from genetic testing for CHD | Qualitative interview study | Cardiovascular disease (Primary Care) | Genetic testing for coronary heart disease | n = 119 | n = 40/69 |
Haga et al., [42], Australia | To investigate patient experiences with pharmacogenetic (PGx) testing | Online Survey | Pharmacogenetics (Primary Care) | Pharmacogenetics | n = 63 | n = 30/43 |
Hay et al., [43], Canada | We examined the level of interest in pursuing MC1R testing, and patterns of interest across skin cancer perceived threat and control attitudes, cultural beliefs | Online Survey | Skin cancers (Primary Care) | Genetic screening | n = 499 | Not stated |
Frigon et al., [41], Australia | To better understand the perceptions of PCPs, pharmacists and patients on the implementation of pharmacogenomic testing in clinical practice | Semi-structured focus group interviews | Pharmacogenetics (Physicians, pharmacists) | Pharmacogenetics | Patients n = 30, PCP n = 23, Pharmacist (n = 11) | Patients n = 9/21, PCP n = 6/17, Pharmacists n = 2/9 |
Wilde et al., [40], Australia | To qualitatively assess public understanding of, and attitudes towards, risk prediction involving susceptibility genes for depression based on 5–HTTLPR genotyping. | Focus Groups interviews | Psychiatric conditions (Primary Care) | Genetic screening | n = 36 | n = 18/18 |
Vande Perre et al., [30], USA | To compare the expectations of the GPs’ role according to BRCA1/2 mutation carriers and to GPs themselves | Quantitative descriptive survey | Breast cancer (Primary Care) | Genetic testing (BRCA1/2) | n = 176 | Not stated |
Puryear et al., 2017, The Netherlands | To identify and compare patient and primary care provider (PCP) expectations of genetics services in primary care. | Mixed method: Quantitative: survey; Qualitative: interview | Multiple conditions (Primary Care) | Genetic screening | 100 (quant); 20 (qual) | 61% F (quant); 65% F (qual) |
Helmes et al., [37], Germany | We conducted a study on women’s preferred physician involvement in the decision to obtain genetic testing for breast cancer risk. | Quantitative descriptive survey | Breast cancer (Primary Care) | Genetic testing for breast cancer risk | n = 340 | 100% female |