Submitted:
12 June 2026
Posted:
15 June 2026
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Materials and Methods
2.1. Design
2.2. Search Strategy
2.3. Study Selection
2.4. Data Collection, Data Items, and Synthesis
2.5. Inclusion and Exclusion Criteria
3. Results
3.1. Characteristics of the Included Studies
3.2. Sources and Platforms of Complaints
3.3. Geographical Distribution of Included Studies
3.5. Thematic Categories of Negative Online Reviews
3.5.1. Interpersonal Behavior and Staff Conduct
3.5.2. Communication-Related Complaints
3.5.3. Waiting Time, Scheduling, and Administrative Processes
3.5.4. Cost, Billing, and Financial Concerns
3.5.5. Clinical Care Quality, Outcomes, and Pain
3.5.6. Dentistry-Related Complaints
3.6. Conceptual Framework of Patient Dissatisfaction
4. Discussion
4.1. Beyond Clinical Outcomes: The Primacy of Patient Experience
4.2. Interpersonal Relationships as Signals of Care Quality
4.3. Organizational Performance and the Patient Journey
4.4. Financial Value, Transparency, and Expectation Management
4.5. Implications for Dentistry
4.6. Practical Implications for Healthcare Quality Improvement
5. Limitations and Future Research
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Seltzer, E. K.; Guntuku, S. C.; Lanza, A. L.; Tufts, C.; Srinivas, S. K.; Klinger, E. V.; Asch, D. A.; Fausti, N.; Ungar, L. H.; Merchant, R. M. Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study. JMIR Form. Res. 2022, 6, e28379. [Google Scholar] [CrossRef] [PubMed]
- Schramme, T. Health as Complete Well-Being: The WHO Definition and Beyond. Public Health Ethics 2023, 16, 210–218. [Google Scholar] [CrossRef] [PubMed]
- Doyle, C.; Lennox, L.; Bell, D. A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open 2013, 3, e001570. [Google Scholar] [CrossRef] [PubMed]
- Anhang Price, R.; Elliott, M.N.; Zaslavsky, A.M.; et al. Examining the role of patient experience surveys in measuring health care quality. Med. Care Res. Rev. 2014, 71, 522–554. [Google Scholar] [CrossRef] [PubMed]
- Morena, N.; Zelt, N.; Nguyen, D.; Dionne, E.; Rentschler, C. A.; Greyson, D.; Meguerditchian, A. N. The Use of Web-Based Patient Reviews to Assess Medical Oncologists’ Competency: Mixed Methods Sequential Explanatory Study. JMIR Form. Res. 2023, 7, e39857. [Google Scholar] [CrossRef] [PubMed]
- Fu, Y.; Han, P.; Wang, J.; Shahzad, F. Digital pathways to healthcare: a systematic review for unveiling the trends and insights in online health information-seeking behavior. Front. Public Health 2025, 13, 1497025. [Google Scholar] [CrossRef] [PubMed]
- Shah, A. M.; Muhammad, W.; Lee, K.; Naqvi, R. A. Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System. Int. J. Environ. Res. Public Health 2021, 18, 11226. [Google Scholar] [CrossRef] [PubMed]
- Taylor, J. G.; Leaver, M. P.; Griffiths, A. Using Online Reviews to Drive Person-Centered Care: An HCAHPS-Validated Approach. J. Patient Exp. 2025, 12, 23743735251360471. [Google Scholar] [CrossRef] [PubMed]
- Emmert, M.; Meier, F.; Pisch, F.; Sander, U. Physician choice making and characteristics associated with using physician-rating websites. J. Med. Internet Res. 2013, 15, e187. [Google Scholar] [CrossRef] [PubMed]
- Sehgal, N. K. R.; Guntuku, S. C.; Southwick, L.; Merchant, R. M.; Agarwal, A. K. Online Reviews of Health Care Facilities. JAMA Netw. Open 2025, 8, e2524505. [Google Scholar] [CrossRef] [PubMed]
- Pang, P.; Liu, L. Why Do Consumers Review Doctors Online? Topic Modeling Analysis of Positive and Negative Reviews on an Online Health Community in China. In Proceedings of the 53rd Hawaii International Conference on System Sciences, Maui, HI, USA, February 2020. [Google Scholar] [CrossRef]
- Greaves, F.; Ramirez-Cano, D.; Millett, C.; Darzi, A.; Donaldson, L. Use of sentiment analysis for capturing patient experience from free-text comments. J. Med. Internet Res. 2013, 15, e239. [Google Scholar] [CrossRef] [PubMed]
- Boylan, A. M.; Turk, A.; van Velthoven, M. H.; Powell, J. Online patient feedback as a measure of quality in primary care: a multimethod study using correlation and qualitative analysis. BMJ open. 2020, 10(2), e031820. [Google Scholar] [CrossRef] [PubMed]
- Qubain, L.; Richman, E. H.; Eaton, V.; Brinkman, J. C.; Goulding, K. M. Analysis of Negative Reviews of Orthopedic Oncology Surgeons: An Investigation of Reviews from Healthgrades, Vitals, and Google. Sarcoma 2022, 4351427. [Google Scholar] [CrossRef]
- DeMartini, S. J.; Navarro, B. J.; Dy, C. J. "They Gave Me One Star?" An Analysis of Online Reviews of Hand Surgeons. J. Hand Surg. Glob. Online 2025, 7, 100711. [Google Scholar] [CrossRef] [PubMed]
- Orhurhu, M. S.; Salisu, B.; Sottosanti, E.; Abimbola, N.; Urits, I.; Jones, M.; Viswanath, O.; Kaye, A. D.; Simopoulos, T.; Orhurhu, V. Chronic Pain Practices: An Evaluation of Positive and Negative Online Patient Reviews. Pain Physician 2019, 22, E477–E486. [Google Scholar] [CrossRef]
- Zhang, W.; Deng, Z.; Hong, Z.; Evans, R.; Ma, J.; Zhang, H. Unhappy Patients Are Not Alike: Content Analysis of the Negative Comments from China’s Good Doctor Website. J. Med. Internet Res. 2018, 20, e35. [Google Scholar] [CrossRef] [PubMed]
- Imbergamo, C.; Brzezinski, A.; Patankar, A.; Weintraub, M.; Mazzaferro, N.; Kayiaros, S. Negative Online Ratings of Joint Replacement Surgeons: An Analysis of 6,402 Reviews. Arthroplasty Today 2021, 9, 106–111. [Google Scholar] [CrossRef] [PubMed]
- Raza, A.; Dehury, R. Dissatisfaction Factors That Influence Customers To Give Low Online Rating To Hospitals. Asia Pac. J. Health Manag. 2021, 16, 193–201. [Google Scholar] [CrossRef]
- Huang, C. Y.; Lee, P. C.; Chen, L. H. Exploring Consumers’ Negative Electronic Word-of-Mouth of 5 Military Hospitals in Taiwan Through SERVQUAL and Flower of Services: Web Scraping Analysis. JMIR Form. Res. 2024, 8, e54334. [Google Scholar] [CrossRef] [PubMed]
- Prasad, S.; Lynch, C. G.; Barrett, C.; Thaller, S. Nonclinical Factors Drive the Majority of 1-Star Yelp Reviews for Plastic Surgeons in 4 Major US Cities. Ann. Plast. Surg. 2025, 95, 607–610. [Google Scholar] [CrossRef] [PubMed]
- Skrypczak, A. M.; Tressel, W. A.; Ghayour, S.; Khosravi, R.; Ramsay, D. S. Negative online reviews of orthodontists: Content analysis of complaints posted by dissatisfied patients. Am. J. Orthod. Dentofac. Orthop. 2020, 158, 237–246.e4. [Google Scholar] [CrossRef] [PubMed]
- Kroon, M.; Park, J. S. Negative reviews online: an exploratory analysis of patient complaints about dental services in Western Australia. Aust. Dent. J. 2022, 67, 138–147. [Google Scholar] [CrossRef]
- Alsaeed, S. A.; Alyahya, L. A.; Alharbi, M. N.; Alazaz, N. N.; Baeshen, M. A. Content analysis of online reviews for dental clinics in Saudi Arabia. Saudi Dent. J. 2024, 36, 1566–1569. [Google Scholar] [CrossRef] [PubMed]
- Devetziadou, M.; Antoniadou, M. Dental Patient’s Journey Map: Introduction to Patient’s Touchpoints. (Narrative review and position paper_OΕΠ) Online Journal of Dentistry & Oral Health, 2021. ISSN: 2641-1962. Issue: https://irispublishers.com/ojdoh/. https://irispublishers.com/ojdoh/pdf/OJDOH.MS.ID.000593.pdf. [CrossRef]
- Falagas, M.E.; Pitsouni, E.I.; Malietzis, G.A.; Pappas, G. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. FASEB J. 2008, 22, 338–342. [Google Scholar] [CrossRef]
- Bramer, W.M.; Rethlefsen, M.L.; Kleijnen, J.; Franco, O.H. Optimal database combinations for literature searches in systematic reviews. Syst. Rev. 2017, 6, 245. [Google Scholar] [CrossRef] [PubMed]
- Haddaway, N.R.; Collins, A.M.; Coughlin, D.; Kirk, S. The role of Google Scholar in evidence reviews and its applicability to grey literature searching. PLoS ONE 2015, 10, e0138237. [Google Scholar] [CrossRef] [PubMed]
- Verhoef, L.M.; Van de Belt, T.H.; Engelen, L.J.L.P.G.; Schoonhoven, L.; Kool, R.B. Social media and rating sites as tools to understand quality of care: A scoping review. J. Med. Internet Res. 2014, 16, e56. [Google Scholar] [CrossRef] [PubMed]
- Olsen, E.; Nihal, A.; Goldenberg, M.; Huang, C. Predominance of Non-Clinical Complaints in 1-Star Reviews of Mohs Surgeons: A Qualitative Analysis. Dermatol. Surg. 2026, 52, 226–231. [Google Scholar] [CrossRef]
- Spiro, G. M.; Sommerfeld, C. S.; Fung, K.; Quimby, A. E.; Pulkki, K. H.; Fortin, M.; Nguyen, L. H. Poor Online Patient Ratings of Otolaryngologists in the United States: What are Patients Saying? Ear Nose Throat J. 2025, 104(10), NP685–NP691. [Google Scholar] [CrossRef] [PubMed]
- Liu, J.; Ding, P.; Jiang, H. Exploring sources of patient dissatisfaction in mobile health communication: A text analysis based on structural topic model. Digit. Health 2024, 10, 20552076241287890. [Google Scholar] [CrossRef] [PubMed]
- Anastasio, A. T.; Baumann, A. N.; Curtis, D. P.; Rogers, H.; Hogge, C.; Ryan, S. F.; Walley, K. C.; Adams, S. B. An examination of negative one-star patient reviews for foot and ankle orthopedic surgery: A retrospective analysis. Foot Ankle Surg. 2024, 30, 252–257. [Google Scholar] [CrossRef] [PubMed]
- Daniel, M.; Gordon, M.; Patricio, M.; Hider, A.; Pawlik, C.; Bhagdev, R.; Ahmad, S.; Alston, S.; Park, S.; Pawlikowska, T.; Rees, E. An update on developments in medical education in response to the COVID-19 pandemic: A BEME scoping review: BEME Guide No. 64. Med. Teach. 2021, 43, 253–71. [Google Scholar] [CrossRef] [PubMed]
- Nazlı, M.; Arbak, H. The strategic importance of e-complaints about health services of the hospitals. İşletme Bilimi Dergisi 2020, 8, 373–397. [Google Scholar] [CrossRef]
- Brereton, E. J.; Matlock, D. D.; Fitzgerald, M.; Venechuk, G.; Knoepke, C.; Allen, L. A.; Tate, C. E. Content Analysis of Negative Online Reviews of Hospice Agencies in the United States. JAMA Netw. open. 2020, 3, e1921130. [Google Scholar] [CrossRef] [PubMed]
- Street, A. Biomedicine in an unstable place: Infrastructure and personhood in a Papua New Guinean hospital; Duke University Press: New York, USA, 2020. [Google Scholar]
- Kwame, A.; Petrucka, P.M. A literature-based study of patient-centered care and communication in nurse-patient interactions: barriers, facilitators, and the way forward. BMC Nurs. 2021, 20, 158. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Parasuraman, A.; Zeithaml, V.A.; Berry, L.L. SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. J. Retail. 1988, 64, 12–40. [Google Scholar]
- Baines, T.; Menon, R.R.; Bigdeli, A.; Schroeder, A.; Adem, A.; Rathi, D.; Rapaccini, M.; Raddats, C. Development of a universal approach for measuring servitization. Prod. Plan. Control 2026, 1–22. [Google Scholar] [CrossRef]
- Listl, S.; Galloway, J.; Mossey, P.A.; Marcenes, W. Global Economic Impact of Dental Diseases. J. Dent. Res. 2015, 94, 1355–61. [Google Scholar] [CrossRef] [PubMed]


| Authors, year | Country | Type of study | Method | Review platform | Healthcare provider | Sample | Findings |
|---|---|---|---|---|---|---|---|
| Prasad et al 2025 [21] |
United States | Quantitative cross-sectional | Content analysis of 1-star reviews; complaints classified as clinical or nonclinical and compared by surgery type and city. | Yelp.com | plastic surgeons | 955 negative (1-star) reviews of 86 board-certified plastic surgeons | Two thirds of 1-star plastic-surgery reviews stem from interpersonal or administrative shortcomings, not operative misadventures. |
| Olsen et al 2025 [30] |
United States | Qualitative cross-sectional | Retrospective content analysis of 1-star reviews; complaints classified as clinical or nonclinical and compared across surgical, nonsurgical, cosmetic, and noncosmetic encounters. | Υelp.com | Mohs surgeons | 670 1-star reviews, 1,486 distinct complaints | 279 (18.8%) were clinical, while 1,207 (81.2%) were nonclinical in nature. The most frequently cited clinical complaints were unsatisfactory examination (n = 53, 3.6%), poor cosmetic outcomes (n = 42, 2.8%), and postprocedural scarring (n = 37, 2.5%). By contrast, the most common nonclinical complaints included issues with cost, billing, and insurance (n = 213, 14.3%); unprofessional staff behavior (n = 184, 12.4%); and unsatisfactory physician bedside manner (n = 170, 11.4%) |
| Sehgal et al 2025 [10] |
United States | Quantitative cross-sectional | Natural language processing and topic modeling of 1M online reviews; correlation of linguistic features with ratings. | Yelp.com | health care in general | 1,003,705 reviews (positive and negative) | Top 5: Unfair payment, poor treatment, poor phone experience, phone waiting time, malpractice |
| DeMartini et al 2025 [15] |
United States | Quantitative cross-sectional | Content analysis of 1-star reviews of 377 hand surgeons; coding of 1,295 comments into 20 complaint categories with comparisons by surgery type and physician gender. | Yelp.com, Healthgrades.com, Vitals.com | physicians | 1,295 one-star 3,256 individual complaints | .70% of comments concerned physician bedside manner/professionalism. Nonsurgical patients complained more about communication, time, and scheduling; surgical patients more about outcomes and complications. Male physicians received more complaints about staff professionalism than female physicians. |
| Spiro et al 2025 [31] |
United States | Quantitative cross-sectional | Content analysis of one-star online reviews complaints coded into clinical and nonclinical categories. | RateMDs | Otolaryngologists | 350 | Unhelpfulness, staff/medical learners, and overall behavior. |
| Alsaeed et al 2024 [24] |
Saudi Arabia | Quantitative cross-sectional | Content analysis of negative reviews categorized into six domains and seventeen subdomains. | Google review | Dental Clinics | 9.515 negative reviews | The most frequently mentioned areas of complaint in negative reviews were professional skills (30.79 %), bad experiences (12.2 %), and interpersonal skills (11.34 %). “Office characteristics” (2.06 %) were the least cited, followed by clinical skills (10.15 %) and treatment costs (8.49 %), |
| Liu et al 2024 [32] |
China | Quantitative cross-sectional | Structural topic modeling of 3,070 online consultations; polarity and physician title used as covariates to identify dissatisfaction topics. | Chunyu Doctor | Doctors | 3070 positive and negative | Treatment cost, waiting time, response speed |
| Huang et al 2024 [20] |
Taiwan | Quantitative cross-sectional | Web scraping and content analysis using SERVQUAL and Flower of Services frameworks; statistical comparison before and during COVID-19. | Ewom | Military hospitals | 1259 negative reviews | Diagnosis/Examination/Medical/Hospitalization" exhibited the least satisfactory performance, with a negative review rate of 46.2%. This was followed by the subitem "In Service: Pre-diagnosis Waiting," which had a negative review rate of 20.2%. |
| Anastasio et al 2023 [33] |
United States | Quantitative cross-sectional | Retrospective content analysis of 1-star reviews; complaints categorized into seven themes and compared between surgical and non-surgical groups using chi-square tests. | Vitals.com | foot/ankle orthopedic surgeons and doctors of podiatric medicine | 885 complaints (1 star) | Most common complaints: poor bedside manner and patient experience, surgical complications, uncontrolled pain, and institutional issues. |
| Morena et al 2023 [5] |
Canada | Mixed methods (quantitative + qualitative) | Sequential explanatory design; CanMEDS-based coding and inductive thematic analysis. | RateMDs | oncologists | 473 WPRs reviewing these 49 physicians | The most common negative theme was poor interpersonal skills. Negative themes also pertained to lateness, punctuality, or overall wait time for appointments. |
| Qubain et al 2022 [14] |
United States | Quantitative cross-sectional | Content analysis of one-star reviews of orthopedic oncology surgeons, classified as clinical or nonclinical. | Google Reviews, Healthgrades, and Vitals.com | Orthopedic Oncology Surgeons | 341 one-star reviews | 907 complaints/Clinical factors that were mostly addressed included complications (87 reviews, 26%), disagreement with plan (89 reviews, 26%), uncontrolled pain (59 reviews, 17%), reoperation (37 reviews, 11%), and perceived misdiagnosis (37 reviews, 11%). The most common nonclinical complaints referenced bedside manners (220 reviews, 65%), limited time with the provider (66 reviews, 19%), phone communication issues (57 reviews, 17%), rude or unprofessional conduct (52 reviews, 15%), waiting time (47 reviews, 14%), and scheduling issues (49 reviews, 14%). |
| Seltzer et al 2022 [1] |
United States | Quantitative cross-sectional | Topic modeling and regression analysis of 1-star and 5-star reviews to identify themes linked to ratings. | Yelp.com | labor and delivery | 1957 one-star reviews | Negative interactions and lack of communication with hospital staff, long wait times, and low-quality obstetrics |
| Kroon et al 2022 [23] |
Australia | Mixed methods (quantitative descriptive + qualitative content analysis) | Cross-sectional analysis of 1–2-star reviews; thematic coding of 1071 complaints across 413 cases. | Google reviews | Dentists | 413 negative reviews | Treatment issues, staffing, communication and professionalism, finance, and premise. Overall, treatment was a primary concern for patients |
| Raza et al 2021 [19] |
India | Qualitative cross-sectional | Thematic coding and chi-square testing to identify dissatisfaction factors significantly linked with 1-star ratings. | Google Reviews | 39 hospitals | 593 total reviews | ‘Inferior medical care’, ‘inappropriate behavior of staff’ and ‘money-mindedness’ are positively associated with the reviewer giving 1 star rating to the hospital |
| Imbergamo et al 2021 [18] |
New York | Quantitative cross-sectional | Content analysis of online patient comments; coding of negative themes across orthopedic spine surgery reviews | Healthgrades, Vitals, RateMds | Orthopedic Surgeons | 1686 negative comments, | Poor bedside manner 34%, waiting time 25,4%, Poor outcome and surgeon proficiency 18%, staff interaction 16,9% |
| Daniel et al 2021 [34] |
United States | Quantitative cross-sectional | NLP content analysis (Latent Dirichlet Allocation) of online reviews of mental health treatment facilities in the U.S. | Yelp.com | Mental health treatment facilities | 4678 one-star reviews | Rude staff (ρ=−0.14) and safety and abuse (ρ=−0.14). |
| Skrypczak et al 2020 [22] |
United States | Quantitative cross-sectional | Random sample of orthodontists; content analysis of all 1–2-star reviews to identify complaint types and response behaviors. | Google, Yelp | Orthodontists | 956 negative (1–2-star) reviews from 807 orthodontists | (1) quality of care and/or service, which occurred in 53.2% of reviews; (2) interpersonal interactions, which occurred in 52.0% of reviews; and (3) money and/or financial issues, which occurred in 46.9% of reviews. These were followed by significant but less frequent types of complaints, shown in continued order of decreasing frequency of occurrence, that had to do with (4) time, which occurred in 26.8% of reviews, (5) communication, which occurred in 23.8% of reviews, and (6) unprofessional behavior, which occurred in 10.7% of reviews. |
| Nazli et al 2020 [35] |
Turkey | Qualitative (content analysis) | Deductive content analysis of online complaints categorized by service type and complaint theme. | Sikayetvar.com | Private hospitals | 500 complaints | Complaints mainly about communication, appointments, staff behavior, and pricing issues. |
| Pang et al 2020 [11] |
China | Quantitative cross-sectional | Mixed-method study combining topic modeling (LDA) and grounded theory thematic analysis of online doctor reviews from a Chinese health community. to segment the content into words. |
Haodf.com | Doctors | 839 negative reviews | 228 unsatisfactory outcomes/Inaccurate diagnoses and incorrect treatments related to children 126/insufficient skill level, 28/Not respecting patients, 21/Bad communication, 37/199 Bad attitude to families |
| Brereton et al 2020 [36] |
United States | Qualitative (thematic content analysis) | Thematic analysis of 1-star hospice reviews; inductive coding and comparison of for-profit vs nonprofit agencies. | Yelp.com | hospice agencies | 1371-star reviews | Complaints about poor care quality and unmet or false expectations. |
| Orhurhu et al 2019 [16] |
United States | Quantitative cross-sectional | Retrospective content analysis of positive and negative reviews; coded major complaint themes and compared sentiment by setting and provider type. | Yelp and Healthgrades | Chronic Pain Physicians | 1.627 reviews (331 low scoring) | Physician attributes (41.4%), administrative attributes (52.1%), and procedure attributes (5.2%). Highest proportion of 3 attributes associated with low ratings were disrespectful, unhelpful, uncared |
| Zhang et al 2018 [17] |
China | Qualitative cross-sectional | Content analysis of online physician reviews; manual coding of negative experiences. | Good doctor | physicians | 3012 negative comments | Insufficient medical consultation duration (577/3012, 19.16%), physician impatience (527/3012, 17.50%), and perceived poor therapeutic effects (370/3012, 12.28%) |
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