| Literature DB >> 28462253 |
JongDeuk Baek1, Robert L Seidman1.
Abstract
OBJECTIVE: Factors in the practice environment, such as health information technology (IT) infrastructure, availability of other clinical resources, and financial incentives, may influence whether practices are able to successfully implement the patient-centered medical home (PCMH) model and realize its benefits. This study investigates the impacts of those PCMH-related elements on primary care physicians' perception of quality of care.Entities:
Keywords: health information technology; patient-centered practice environment; primary care physicians
Year: 2015 PMID: 28462253 PMCID: PMC5266438 DOI: 10.1177/2333392815572340
Source DB: PubMed Journal: Health Serv Res Manag Epidemiol ISSN: 2333-3928
Figure 1.Research Framework.
Summary of Study Variables.
| Type of Variable (# Original Questions) | Reference Group | Variables in Analysis |
|---|---|---|
| Dependent | ||
| Ability to provide quality care | =1 if strongly agree able to provide high-quality care to all patients | |
| Independent | ||
| Patient-centered practice environment (n = 4) | Mean score on practice environment measures (5-point scale) | |
| Health IT functionality | ||
| Access to clinical information (n = 4) | No clinical IT use | =1 if use all 4 clinical IT functions |
| =1 if use 3 clinical IT functions | ||
| =1 if use 2 clinical IT functions | ||
| =1 if use 1 clinical IT function | ||
| Use of e-prescription (n = 2) | No E-prescription use | =1 if both E-prescription uses |
| =1 if only 1 E-prescription uses | ||
| Exchange clinical information (n = 2) | No information exchange functions | =1 if 2 information exchange functions |
| =1 if 1 information exchange function | ||
| Resource constraints | ||
| Availability of clinical support resources (n = 4) | ≤2 resources available | =1 if ≥3 resources available |
| Consider patient out-of-pocket burden (n = 2) | Mean value < 4 | =1 if mean value ≥4 (5-point scale) |
| Policy restrictions on prescribing medication (n = 1) | Percent <80% | =1 if percent ≥80% |
| Physician financial incentives | ||
| Aligned with care quality/content (n = 3) | Mean score of 3 incentives | |
| Aligned with productivity/profitability (n = 2) | Mean score of 2 incentives | |
| Physician and practice characteristics | ||
| Age | Years | |
| Gender | Male | =1 if female |
| Race | White | =1 if black |
| =1 if other | ||
| Specialty | Pediatrics | =1 if family practice |
| =1 if internal medicine | ||
| Practice type | Clinic/office with 1-2 physicians | =1 if clinic/office with 3+ physicians |
| =1 if HMO | ||
| =1 if medical school | ||
| =1 if hospital | ||
| =1 if other | ||
| Size of practice area | Large metropolitan area | =1 if small metro area |
| =1 if nonmetro area | ||
| FMG | US degree | =1 if foreign medical degree |
| % patients with foreign language | % patients with primary language not English | |
Abbreviations: FMG, Foreign Medical Graduate; IT, information technology.
Sample Characteristics and Descriptive Results of Study Variables.a
| Study Variables | Groups | N (%) |
|---|---|---|
| Age | ≤40 | 600 (36.5) |
| 41-50 | 562 (32.4) | |
| 51-60 | 382 (22.1) | |
| >60 | 156 (9.0) | |
| Gender | Male | 1046 (60.3) |
| Female | 687 (39.7) | |
| Race | White | 1230 (73.9) |
| Black | 119 (7.0) | |
| Other | 361 (21.1) | |
| Specialty | Internal medicine | 567 (32.7) |
| Family practice/general practice | 689 (39.7) | |
| Pediatrics | 477 (27.6) | |
| MSA | Large metro (over 200 000 population) | 1448 (83.5) |
| Small metro (under 200 000 population) | 62 (3.5) | |
| Nonmetro | 223 (13.0) | |
| Ability to provide high-quality care | Strongly disagree | 110 (6.4) |
| Disagree | 254 (14.7) | |
| Neutral | 43 (2.5) | |
| Agree | 658 (38.0) | |
| Strongly agree | 666 (38.4) | |
| IT use: number of function for clinical information access | No usage | 225 (12.9) |
| 1 | 259 (14.9) | |
| 2 | 468 (27.0) | |
| 3 | 436 (25.1) | |
| 4 | 345 (19.9) | |
| IT use: number of function for e-prescription | No usage | 699 (40.3) |
| 1 | 674 (38.9) | |
| 2 | 360 (20.8) | |
| IT use: number of function for information exchange | No usage | 410 (23.7) |
| 1 | 559 (32.2) | |
| 2 | 764 (44.1) | |
| Supportive/referral clinical resources constraints | High | 1516 (87.5) |
| Low | 217 (12.5) | |
| Patient out-of-pocket burden | High | 1064 (61.4) |
| Low | 669 (33.6) | |
| Policy restrictions on prescribing medication | High | 1151 (66.4) |
| Low | 582 (33.6) | |
| Patient-centered practice environment | Mean = 3.89 | SD = 0.02 |
Abbreviations: IT, information technology; SD, standard deviation.
an = 1733.
Adjusted Odds Ratios of Salaried Primary Care Physicians’ Confidence in Providing High-Quality Care.a
| Independent Variable | Reference Group | Adjusted Odds Ratio of Strong Confidence in Providing High-Quality Primary Care | ||
|---|---|---|---|---|
| Odds Ratio | 95% CI | |||
| Lower | Upper | |||
| Patient-centered practice environmentb | 4.07c | 3.37 | 4.91 | |
| Health IT use | ||||
| Clinical information | No use | |||
| Use 1 function | 1.24 | 0.79 | 1.97 | |
| Use 2 functions | 1.49 | 0.97 | 2.30 | |
| Use 3 functions | 1.58d | 1.01 | 2.51 | |
| Use 4 functions | 2.01e | 1.19 | 3.39 | |
| E-prescriptions | No use | |||
| Use 1 function | 0.93 | 0.70 | 1.23 | |
| Use 2 functions | 0.61d | 0.42 | 0.90 | |
| Information exchange | No use | |||
| Use 1 function | 1.11 | 0.80 | 1.54 | |
| Use 2 functions | 1.08 | 0.77 | 1.53 | |
| High constraints affecting decisions | Low constraint | |||
| Patient out-of-pocket cost burden | 0.84 | 0.66 | 1.06 | |
| Supportive/referral clinical resources available | 0.49e | 0.30 | 0.78 | |
| Medication prescription restrictions | 1.21 | 0.94 | 1.56 | |
| Physician financial incentives | ||||
| Aligned with care quality/contentb | 1.11 | 1.00 | 1.24 | |
| Aligned with productivity/profitabilityb | 0.96 | 0.88 | 1.04 | |
| Physician and practice characteristics | ||||
| Age | ≤40 | |||
| 41-50 | 1.14 | 0.86 | 1.50 | |
| 51-60 | 1.09 | 0.80 | 1.50 | |
| Older than 61 | 1.01 | 0.65 | 1.55 | |
| Male gender | Female | 1.30d | 1.02 | 1.67 |
| Race | White | |||
| Other | 1.12 | 0.80 | 1.58 | |
| Black | 0.94 | 0.59 | 1.48 | |
| Specialty | Pediatrics | |||
| Internal medicine | 0.65d | 0.48 | 0.88 | |
| Family practice | 0.71 | 0.53 | 1.95 | |
| Practice type and size | Clinic/office 1-2 MDs | |||
| Clinic/office 3+ MDs | 1.08 | 0.71 | 1.65 | |
| HMO | 1.14 | 0.79 | 1.64 | |
| Medical school | 1.21 | 0.73 | 2.00 | |
| Hospital based | 0.93 | 0.59 | 1.45 | |
| Other | 1.28 | 0.88 | 1.86 | |
| Size of practice area | Large metro | 1.26 | 0.68 | 2.32 |
| Small metro | 0.78 | 0.55 | 1.11 | |
| Nonmetro | 0.78 | 0.56 | 1.08 | |
| Foreign MD degree | US degree | |||
| % patients with foreign languageb | 0.99 | 0.97 | 1.00 | |
Abbreviations: CI, confidence interval; IT, information technology.
an = 1733.
bContinuous variable.
c P < .001.
d P < .05.
e P < .01.
| Provide High-Quality Care [Strongly disagree (1)–Strongly agree (5)] | |
| 1. | It is possible to provide high-quality care to my patients. |
| Patient Centered Practice Environment [Strongly disagree (1)–Strongly agree (5)] | |
| 1. | It is possible to maintain the kind of continuing relationships with patients over time that promote the delivery of high-quality care. |
| 2. | I have adequate time to spend with patients during typical office/patient visits. |
| 3. | I can make clinical decisions in the best interests of my patients without the possibility of reducing my income. |
| 4. | I have freedom to make clinical decisions that meet my patients’ needs. |
| Health IT Use | |
| Access to Clinical Information [No; Yes] | |
| 1. | In your practice, are computers or other forms of information technology used to obtain information about treatment alternatives or recommended guidelines? |
| 2. | In your practice, are computers or other forms of information technology used to generate reminders for you about preventive services? |
| 3. | In your practice, are computers or other forms of information technology used to access patient notes, medication lists, or problem lists? |
| 4. | In your practice, are computers or other forms of information technology used to obtain information on potential patient drug interactions with other drugs, allergies, and/or patient conditions? |
| Access to E-Prescribing [No; Yes] | |
| 1. | In your practice, are computers or other forms of information technology used to write prescriptions? |
| 2. | In your practice, are computers or other forms of information technology used to obtain information on formularies? |
| Exchange of Clinical Information [No; Yes] | |
| 1. | In your practice, are computers or other forms of information technology used for clinical data and image exchanges with other physicians? |
| 2. | In your practice, are computers or other forms of information technology used for clinical data and image exchanges with hospitals and laboratories? |
| Structural and Resource Constraints | |
| Availability of Clinical Support Resources [No; Yes] | |
| 1. | During the last 12 months, were you unable to obtain referrals to specialists of high quality? |
| 2. | During the last 12 months, were you unable to obtain nonemergency hospital admissions? |
| 3. | During the last 12 months, were you unable to obtain high-quality diagnostic imaging services? |
| 4. | During the last 12 months, were you unable to obtain high-quality outpatient mental health services? |
| Consider Patient Out-of-Pocket Burden [Never (1)–Always (5)] | |
| 1. | If there is uncertainty about a diagnosis, how often do you consider an insured patient's out-of pocket costs in deciding the types of tests to recommend? |
| 2. | If there is a choice between outpatient and inpatient care, how often do you consider an insured patient's out-of-pocket costs? |
|
| |
| 1. | What percentage of your patients have prescription coverage that includes the use of a formulary? |
| Physician Financial Incentives | |
| Financial Incentives Aligned with Care Content [Not important (1)–Very important (5)] | |
| 1. | How important are results of satisfaction surveys completed by your own patients in determining your compensation? |
| 2. | How important are specific measures of quality of care, such as rates of preventive care services for your patients in determining your compensation? |
| 3. | How important are results of practice profiles in determining your compensation? |
| Financial Incentives Aligned with Productivity/ Profitability [Not important (1)–Very important (5)] | |
| 1. | How important is your productivity in determining your compensation? |
| 2. | How important is overall practice performance? |