To conduct a systematic review of studies that used registered dietitian nutritionists (RDNs) or registered nurses (RNs) to deliver pharmacological therapy using protocols for diabetes, dyslipidemia, or hypertension.
A database search of PubMed, the Cochrane Central Register of Controlled Trials, Ovid, and the Cumulative Index to Nursing and Allied Health Literature was conducted of literature published from 1 January 2000 to 31 December 2019.
Twenty studies met the inclusion criteria, representing randomized controlled trials (12), retrospective (1) and prospective cohort design studies (6), and time series (1). In all, the studies include 7,280 participants with a median study duration of 12 months (range 6–25 months). Fifteen studies were led by RNs alone, two by RDNs, and three by a combination of RDNs and RNs. All demonstrated improvements in A1C, blood pressure, or lipids. Thirteen studies provided a lifestyle behavior change component in addition to medication protocols.
This systematic review provides evidence that RDN- and RN-led medication management using physician-approved protocols or treatment algorithms can lead to clinically significant improvements in diabetes, dyslipidemia, and hypertension management and is as good or better than usual care.
Many sets of national guidelines assist health care providers in clinical decision-making by describing a range of generally acceptable approaches for the diagnosis, management, or prevention of specific diseases or conditions. Examples of these evidence-based standards include the American College of Cardiology (ACC)/American Heart Association (AHA) guidelines on the primary prevention of cardiovascular disease (1), the 2017 guidelines for the prevention, detection, evaluation, and management of high blood pressure in adults (2), and the American Diabetes Association (ADA) standards of medical care in diabetes (3). Although these guidelines have been continually updated and widely disseminated, challenges remain in translating best practices to the reality of the primary care setting to reduce therapeutic inertia and improve clinical outcomes.
According the Centers for Disease Control and Prevention, there are significant gaps in the administration of preventive therapies, with only 55.5% of adults who may benefit from cholesterol medication taking it (4) and only one in four adults with hypertension being treated effectively in the United States (5). Additionally, most adults with type 1 or type 2 diabetes do not meet recommended goals for A1C, with 50% at the recommended general goal of <7% (6). Furthermore, only one in four individuals with diabetes achieved the composite goal for A1C, blood pressure, cholesterol, and nonsmoking (7)—a statistic that has remained unchanged since 2005.
Primary care providers (PCPs) play a central role in the delivery of clinical services to help patients manage their health risk factors and achieve optimal health. Although therapies to treat risk factors have advanced and treatment guidelines are readily available, clinicians too often do not initiate or intensify medication therapies appropriately during patient visits to align with current guidelines (8–10). This problem has been termed “clinical inertia” and is defined as the recognition of a health problem but failure to act to treat it (11). Increasingly, the term “therapeutic inertia” has been used, which more specifically focuses on the failure to intensify or deintensify therapy, whereas clinical inertia is a broader term and may also relate to failure to screen, perform risk assessment, refer for a lifestyle behavior change program, or make referrals and manage complications once they develop (12). Achieving glycemic, blood pressure, and lipid goals requires extensive lifestyle counseling, patient education, and pharmacological therapy, with frequent follow-up for medication titration and behavioral assessment and support.
Innovative approaches to overcoming therapeutic inertia are needed for successful facilitation and adoption of guideline-based recommendations for risk management. One emerging approach to achieving these goals is empowering registered dietitian nutritionists (RDNs) and registered nurses (RNs) to their maximal scope of practice by using medication therapy protocols in addition to lifestyle behavior counseling. This systematic review examines the evidence that supports the role of traditionally nonprescribing health care professionals (RDNs and RNs) in the initiation or adjustment of pharmacotherapy for diabetes, dyslipidemia, and hypertension using physician-approved protocols or treatment algorithms.
Research Design and Methods
A literature search was conducted to identify published studies that met defined inclusion criteria. To be included in the review, studies needed to be reported in English, published between 1 January 2000 and 31 December 2019, and describe interventions that used RDNs or RNs to deliver pharmacological therapy using protocols to initiate or adjust medications for diabetes, dyslipidemia, or hypertension in adults ≥18 years of age. Additional criteria included outpatient/ambulatory care, study duration ≥6 months, and a completion rate ≥80%. Study designs included randomized controlled trials (RCTs), retrospective and prospective cohort studies, and time series (pre-/post- comparisons). The electronic databases searched included PubMed, the Cochrane Central Register of Controlled Trials, Ovid, and the Cumulative Index to Nursing and Allied Health Literature. Each database was independently searched for articles using the following medical subject headings: diabetes mellitus, dyslipidemia, hypertension, drug therapy, dietitians or dieticians, and nurses. Boolean “AND” was used to combine the drug therapy, disease state terms, and health care professionals.
The literature search identified 4,477 citations. An additional 40 studies of interest were identified using an ancestry approach. Titles and abstracts were then screened to determine whether the articles were relevant. After applying inclusion criteria and removing duplicates, 210 full-text articles were requested for further review to assess for eligibility (Figure 1).
Process of identifying included studies in the systematic review of medication management by RDNs or RNs following provider-approved protocols.
Process of identifying included studies in the systematic review of medication management by RDNs or RNs following provider-approved protocols.
Results
Study Characteristics
Ultimately, 20 studies met the inclusion criteria, including 12 RCTs, one retrospective cohort (i.e., chart review) study, six prospective cohort studies (including two with pre-/post- comparisons), and one time series (pre-/post- comparison) (Table 1) (13–32). In all, the studies represent 7,280 participants with a median study duration of 12 months (range 6–25 months). Thirteen of the studies included a lifestyle behavior change component in addition to use of medication therapy protocols.
Overview of Studies Identified Through the Literature Search for Inclusion in the Systematic Review
Article . | Participant Characteristics and Study Duration . | Interventions . | Study Design . | Major Findings . |
---|---|---|---|---|
Benson et al., 2018 (United States) (13) | 1,028 patients aged 40–79 years at increased CVD risk without active CVD or diabetes (326 participants compared with 702 eligible nonparticipants). Study duration: 6–12 months | Primary prevention telemedicine program to reduce CVD risk; dietitians and nurses delivered health coaching and medication therapy protocols for dyslipidemia and HTN via monthly calls. | Retrospective cohort study | 83% engagement after 6 months. More participants than nonparticipants quit using tobacco (7.0 vs. 3.2%, P = 0.004) and achieved LDL goal <100 mg/dL (8.9 vs. –1.1%, P = 0.009). Participants with five or more encounters improved TC and LDL more than those with fewer encounters (P <0.05). |
Benson et al., 2019 (United States) (14) | 118 patients with T2D recruited from two rural primary care clinics (intervention [n = 60] compared with control/usual care [n = 58]). Study duration: 1 year | Via a telemedicine program, dietitians used a medication protocol to initiate and titrate therapies for diabetes, HTN, and dyslipidemia and provide lifestyle coaching. | RCT | 88% completion rate. The intervention group increased from a mean of meeting 3.1 to 3.7 optimal care goals compared with the control group, which had a smaller increase from a mean of 2.8 to 3.2 optimal care goals (P = 0.017). The intervention group had increased medication use, with ORs of 2.5 and 2.2 of taking a statin (95% CI 1.0–6.24) and aspirin (95% CI 0.90–5.19), respectively. |
California Medi-Cal Type 2 Diabetes Study Group, 2004 (United States) (15) | 362 Medicaid recipients with T2D, 52% of whom were minorities (intervention [n = 186] compared with control/usual care [n = 172]). Study duration: 36 months | Nurses and dietitians provided diabetes case management, including lifestyle strategies to improve self-care and evidence-based practice guidelines/ algorithms for diabetes medication and insulin initiation and/or adjustment used in collaboration with a PCP. | RCT | 88% completion rate. A1C decreased in both groups from a mean of 9.54 to 7.66% (decrease of 1.88%) in the intervention group and a mean of 9.66 to 8.53% (decrease of 1.13%) in the control group. A1C decrease was greater in the intervention group at each time point (P <0.001), ranging between 0.65 at 6 months and 0.87 at study end. |
Courtenay et al., 2015 (United Kingdom) (16) | 214 patients with T2D in six general practices with nurse prescribers (n = 131) compared to six practices with diabetes care provided by nurse nonprescribers (n = 83). Study duration: 6 months | Nurse prescribers made face-to-face or telephone visits to recommend, amend, stop, or prescribe diabetes medications. Other than medication adjustments, there were no significant differences in diabetes care provided by prescribers and nonprescribers. | Prospective cohort study | 87% completion rate. There was a significant decrease in A1C across patients of both prescribing (−2.1 mmol/mol mean change) and nonprescribing (−4.6 mmol/mol mean change) nurses; however, there was no statistically significant change between groups. |
Fanning et al., 2004 (United States) (17) | 443 patients with T2D diagnosed within the past year; 358 were adherent and included in the final analysis (90% Mexican American from low-income neighborhoods). Study duration: 1 year | Nurses used treatment algorithms for diabetes, dyslipidemia, and HTN; community clinic with treatment algorithms (CC-TA) and university clinic with treatment algorithms (UC-TA) versus community clinic with standard care (CC-SC). Treatment algorithm groups were given glucose meters, logs were reviewed, and diabetes classes were emphasized. | Prospective cohort study (no comparison group) | 81% completion rate. Decreases in A1C in CC-TA and UC-TA were 3.1 and 3.3%, respectively, versus 1.3% in CC-SC (P <0.0001). Decreases in fasting plasma glucose were 94 and 99 mg/dL, respectively, versus 38 mg/dL in CC-SC (P <0.0001). Decreases in TC, LDL, and triglycerides were greater in both algorithm-managed clinics versus standard care management (P <0.0001). All three clinics were equally effective for BP management. |
Furler et al., 2017 (Australia) (18) | 266 patients with T2D from 74 general practices (control/usual care arm [n = 115] compared with intervention arm (n = 151]). Study duration: 1 year | Practice nurses (mentored by an RN/CDE) used simple clinical protocols to initiate and up-titrate insulin. | RCT | 84% completion rate. Intention-to-treat analysis found A1C improved in both arms, with a mean difference of −0.6% (95% CI −0.9 to −0.3) favoring intervention. 70% of intervention patients started insulin versus 22% in the control group (95% CI 4.5–15.4, P <0.001). Target A1C (≤7%) was achieved by 36% in the intervention group and 19% in the control group (P = 0.02). |
Houweling et al., 2011 (the Netherlands) (19) | 230 patients with T2D (randomized to either practice nurse group [n = 116] or standard care from a general practitioner [n = 114]). Study duration: 14 months | Nurses used a detailed treatment protocol aimed to optimize glucose, BP, and lipids, along with eye and foot care. | RCT | 90% completion rate. Between-group differences for A1C, BP, and lipids were not statistically significant. BP decreased significantly in both groups. SBP −7.4 mmHg (95% CI −3.8 to −10.9) and DBP −3.2 mmHg (95% CI −1.3 to −5.2) in the intervention group and SBP −5.6 mmHg (95% CI −2.3 to −8.8) and DBP −1.0 mmHg (95% CI −0.8 to −2.8) in the control group. In both groups, more patients met the target goals for lipids compared with baseline. Patients treated by nurses were more satisfied. |
Houweling et al., 2009 (the Netherlands) (20) | 93 patients with T2D referred by a PCP (randomized to intervention with a nurse specialist in diabetes [NSD] [n = 50] or usual care with an internist [n = 43]). Study duration: 1 year | Nurse-led patient education + detailed BG, BP, and lipid treatment protocols | RCT | 90% completion rate. No statistically significant difference between NSD and usual care groups for A1C, BP, TC, or LDL. Only statistically significant difference between groups was for TC/HDL ratio (P = 0.034). At 1 year, A1C was <7% in 33.3% of NSD group (P = 0.002), but there was no statically significant difference between groups. Health care costs decreased and patient satisfaction increased with nurse-led intervention (P <0.001), with same quality of life maintained. |
MacMahon et al., 2009 (Ireland) (21) | 200 patients with T2D who failed to meet recommended BP and/or TC targets after intervention in the hospital diabetes clinic (randomized to intensive [n = 101] or standard [n = 99] care). Study duration: 1 year | Patients randomized to intervention met with a diabetes nurse specialist every 2–3 months for lifestyle advice and medication titration for BP, BG, and lipids to achieve ADA guidelines. | RCT | 94% completion rate. More patients in the intervention group achieved targets than in standard care; SBP (<130 mmHg) 33 versus 12.1% (P <0.001); TC (<4.8 mmol/L) 84.8 versus 63.6% (P <0.001); LDL (<2.6 mmol/L) 73.4 versus 54.5% (P = 0.007); and A1C (<6.5%) 53.2 versus 32.9% (P = 0.005). |
McLoughney et al., 2007 (United Kingdom) (22) | 96 patients with T2D and uncontrolled HTN or HLD (compared at baseline vs. program completion). Study duration: 1 year | Treatment protocol–driven, doctor- supervised, specialist nurse–led intervention clinic. Patients met with nurse every 3–4 weeks to discuss lifestyle and medication action plan. BP and lipid medications were titrated according to treatment response and study protocol. | Prospective cohort study (no comparison group) | 98% completion rate. Statistically significant decrease in SBP (167 ± 12 vs. 132 ± 8 mmHg, P <0.001) and DBP (85 ± 9 vs. 70 ± 7 mmHg, P <0.001). 92% achieved target BP. TC (6.0 ± 1.2 vs. 3.9 ± 0.7 mmol/L, P <0.001) and triglycerides (4.2 ± 0.8 vs. 2.4 ± 1.2 mmol/L, P <0.001) significantly improved. 91% achieved target lipids. Mean A1C level improved (8.5 ± 1.5 vs. 7.4 ± 1.5%, P <0.01), and 45% achieved an A1C <7%. |
New et al., 2003 (United Kingdom) (23) | 1,407 patients with T1D or T2D presenting for annual review with BP ≥140/80 mmHg and/or TC ≥5.0 mmol/L (randomized to specialist nurse intervention or standard care). Study duration: 1 year | Patients attended nurse-led HTN and/or HLD clinic every 4–6 weeks until targets were achieved with medication titration using protocols, along with individualized lifestyle action plan and diabetes education. | RCT | 82 and 92% completion rates for HTN and HLD clinics, respectively. The nurse-led clinics had statistically significant improvements in patients achieving targets compared with standard care (OR 1.37 [95% CI 1.11–1.69], P = 0.003). |
Ogedegbe et al., 2018 (Ghana) (24) | 757 patients with uncontrolled HTN received health insurance coverage (HIC) only (n = 389) compared with nurse-led medication protocol for HTN (TASSH) + HIC (n = 368). Study duration: 12 months | Trained community health nurses implemented a cardiovascular risk assessment, provided counseling on lifestyle modification, and initiated and titrated antihypertensive medications. | RCT | 85% completion rate. Intention-to-treat analysis for all enrolled patients. TASSH + HIC group had a greater SBP reduction (−20.4 mmHg, 95% CI −25.2 to −15.6) than the HIC-only group (−16.8 mmHg, 95% CI −19.2 to −15.6), with a statistically significant between-group difference of −3.6 mmHg (95% CI −6.1 to −0.5; P = 0.021). |
Rudd et al., 2004 (United States) (25) | 150 patients with BP ≥150/95 mmHg needing drug therapy for HTN (randomized to nurse care management intervention + usual care [n = 74] or usual care only [n = 76]). Study duration: 6 months | For the intervention group, nurses titrated medications using algorithms, and patients monitored BP with a home monitoring device. Nurses contacted physicians to initiate new drugs. | RCT | 91% completion rate. The intervention group had a decrease in SBP by 14.2 mmHg (95% CI −18.1 to −10.0) versus 5.7 mmHg (95% CI −10.2 to −1.3) in the usual care group (P <0.01). DBP decreased by 6.5 mmHg (95% CI −8.8 to −4.1) compared with 3.4 mmHg in usual care group (95% CI −5.3 to −1.5) (P <0.05). |
Senaratne et al., 2001 (Canada) (26) | Phase 1: intervention group (n = 80) + usual care control group (n = 189); Phase 2: all intervention group (n = 366). Study duration: 6 months | Cardiac rehabilitation nurse ordered lipid panels and used a pharmacologic treatment algorithm to initiate cholesterol-lowering medication therapy. Both groups had the same dietary counseling option. | Prospective cohort study | 100% of patients were included in the analysis. Outcomes for control and intervention groups at baseline versus 1 year, respectively: TC 5.47 ± 0.08 to 4.92 ± 0.06 versus 5.42 ± 0.13 to 4.6 ± 0.07 mmol/L; LDL 3.44 ± 0.07 to 2.91 ± 0.06 versus 3.43 ± 0.11 to 2.68 ± 0.07 mmol/L; and on medication 49 versus 83% (P = 0.01). Phase 2 intervention across all patients continued to show improved results relative to the phase 1 control group. |
Senior et al., 2008 (Canada) (27) | 424 with T2D or T1D (n = 46) with HTN or albuminuria who attended the initial visit and returned for ≥1 follow-up visit. Study duration: 6 months | Nurse or dietitian provided lifestyle counseling and medication initiation and titration for BP, lipids, and glycemic control. | Prospective cohort study (no comparison group) | 99% completion rate. BP, A1C, and LDL improved at follow-up (SBP from 133 ± 19.3 to 129 ± 16.6 mmHg; DBP from 74 ± 11.3 to 71 ± 9.7 mmHg; A1C from 8.1 ± 1.9 to 7.5 ± 1.3%; LDL from 104 ± 35 to 93 ± 31 mg/dL; P <0.0001 for all). |
Taylor et al., 2012 (New Zealand) (28) | 100 patients with resistant HTN (clinical nurse specialist [CNS] HTN clinic participants [n = 50] and physician HTN clinic patients [n = 50]). Study duration: up to 10 months | Patients seen in CNS clinic every 2–4 weeks until target BP reached. Lifestyle and risk factor education plus medication adjustments made according to pre-arranged algorithms. | Prospective cohort study | 100% of patients were included in the analysis. Significant decrease in both SBP and DBP for physician HTN clinic patients (−20 mmHg SBP and −13 mmHg DBP), as well as CNS HTN clinic patients (−30 mmHg SBP and −14 mmHg DBP) (P <0.01). SBP reduction was larger in the CNS clinic group (P = 0.02). |
Tobe et al., 2006 (Canada) (29) | 99 First Nations patients with T2D and HTN (randomized to home nurse intervention [n = 50] or usual care with physician [n = 49). Study duration: 1 year | Home care nurse followed approved treatment protocol for HTN therapy to reach target BP <130/80 mmHg. Both groups received healthy lifestyle classes. | RCT | 91% completion rate. In both groups, change in BP from baseline to final visit was statistically significant. SBP decreased 7.0 mmHg more in the intervention group than in the control group (P = 0.14). DBP decreased 4.8 mmHg more in the intervention group than in the control group (P = 0.05). |
Worth et al., 2006 (United Kingdom) (30) | 110 consecutive patients with T1D (n = 12) or T2D (n = 97) and dyslipidemia who had at least three clinic visits were included. Study duration: 1 year | Diabetes dietitian provided lifestyle coaching and followed protocol to recommend, monitor, and titrate statin monotherapy or combined statin and fibrate therapy. | Time series (with pre-/post- comparison) | 85% completion rate. TC decreased from a mean of 241 mg/dL (95% CI 235–247) to 169 mg/dL (95% CI 166–172) (P <0.001). Triglycerides decreased from 268 mg/dL (95% CI 229–307) to 184 mg/dL (95% CI 166–203) (P <0.001). Reductions were maintained after 1 year. |
Yip et al., 2018 (China) (31) | 393 patients with HTN (randomized to nurse-led intervention [n = 194] or usual care [n = 199]). Study duration: 1 year | The nurse-led repeated prescription (NRP) group saw physician at baseline and 12 months, and the nurse used an HTN management protocol at 4 and 8 months. | RCT | 98% completion rate. Baseline-adjusted modified intention-to-treat and pre-protocol mean differences (between NRP and usual care) for SBP were 0.53 mmHg (95% CI −2.05 to 3.11) and 0.43 mmHg (95% CI −2.16 to 3.02), respectively. For DBP, the mean differences were 1.23 mmHg (95% CI −0.27 to 2.73) and 1.16 mmHg (95% CI −0.35 to 2.67), respectively. There were no significant differences between the NRP and usual care groups with regard to BP at 1 year, after adjusting for baseline values. |
Zgibor et al., 2018 (United States) (32) | 240 patients with T2D for ≥1 year and an A1C ≥7% or LDL ≥100 mg/dL or BP ≥130/80 mmHg from 15 primary care practices (intervention [n = 175] compared with usual care [n = 65]). Study duration: 1 year | Implementation of pre-approved diabetes management protocol with diabetes education by nurse CDEs during visits at baseline and 3, 6, and 12 months. Usual care included invitation to monthly CDE-led support group. | RCT | 90% completion rate. Mean difference in A1C between intervention and usual care was −0.66 (95% CI −1.11 to −0.22; P = 0.004), after adjustment for baseline A1C and other demographics and clinical factors. There were no statistically significant differences between groups for LDL or SBP. |
Article . | Participant Characteristics and Study Duration . | Interventions . | Study Design . | Major Findings . |
---|---|---|---|---|
Benson et al., 2018 (United States) (13) | 1,028 patients aged 40–79 years at increased CVD risk without active CVD or diabetes (326 participants compared with 702 eligible nonparticipants). Study duration: 6–12 months | Primary prevention telemedicine program to reduce CVD risk; dietitians and nurses delivered health coaching and medication therapy protocols for dyslipidemia and HTN via monthly calls. | Retrospective cohort study | 83% engagement after 6 months. More participants than nonparticipants quit using tobacco (7.0 vs. 3.2%, P = 0.004) and achieved LDL goal <100 mg/dL (8.9 vs. –1.1%, P = 0.009). Participants with five or more encounters improved TC and LDL more than those with fewer encounters (P <0.05). |
Benson et al., 2019 (United States) (14) | 118 patients with T2D recruited from two rural primary care clinics (intervention [n = 60] compared with control/usual care [n = 58]). Study duration: 1 year | Via a telemedicine program, dietitians used a medication protocol to initiate and titrate therapies for diabetes, HTN, and dyslipidemia and provide lifestyle coaching. | RCT | 88% completion rate. The intervention group increased from a mean of meeting 3.1 to 3.7 optimal care goals compared with the control group, which had a smaller increase from a mean of 2.8 to 3.2 optimal care goals (P = 0.017). The intervention group had increased medication use, with ORs of 2.5 and 2.2 of taking a statin (95% CI 1.0–6.24) and aspirin (95% CI 0.90–5.19), respectively. |
California Medi-Cal Type 2 Diabetes Study Group, 2004 (United States) (15) | 362 Medicaid recipients with T2D, 52% of whom were minorities (intervention [n = 186] compared with control/usual care [n = 172]). Study duration: 36 months | Nurses and dietitians provided diabetes case management, including lifestyle strategies to improve self-care and evidence-based practice guidelines/ algorithms for diabetes medication and insulin initiation and/or adjustment used in collaboration with a PCP. | RCT | 88% completion rate. A1C decreased in both groups from a mean of 9.54 to 7.66% (decrease of 1.88%) in the intervention group and a mean of 9.66 to 8.53% (decrease of 1.13%) in the control group. A1C decrease was greater in the intervention group at each time point (P <0.001), ranging between 0.65 at 6 months and 0.87 at study end. |
Courtenay et al., 2015 (United Kingdom) (16) | 214 patients with T2D in six general practices with nurse prescribers (n = 131) compared to six practices with diabetes care provided by nurse nonprescribers (n = 83). Study duration: 6 months | Nurse prescribers made face-to-face or telephone visits to recommend, amend, stop, or prescribe diabetes medications. Other than medication adjustments, there were no significant differences in diabetes care provided by prescribers and nonprescribers. | Prospective cohort study | 87% completion rate. There was a significant decrease in A1C across patients of both prescribing (−2.1 mmol/mol mean change) and nonprescribing (−4.6 mmol/mol mean change) nurses; however, there was no statistically significant change between groups. |
Fanning et al., 2004 (United States) (17) | 443 patients with T2D diagnosed within the past year; 358 were adherent and included in the final analysis (90% Mexican American from low-income neighborhoods). Study duration: 1 year | Nurses used treatment algorithms for diabetes, dyslipidemia, and HTN; community clinic with treatment algorithms (CC-TA) and university clinic with treatment algorithms (UC-TA) versus community clinic with standard care (CC-SC). Treatment algorithm groups were given glucose meters, logs were reviewed, and diabetes classes were emphasized. | Prospective cohort study (no comparison group) | 81% completion rate. Decreases in A1C in CC-TA and UC-TA were 3.1 and 3.3%, respectively, versus 1.3% in CC-SC (P <0.0001). Decreases in fasting plasma glucose were 94 and 99 mg/dL, respectively, versus 38 mg/dL in CC-SC (P <0.0001). Decreases in TC, LDL, and triglycerides were greater in both algorithm-managed clinics versus standard care management (P <0.0001). All three clinics were equally effective for BP management. |
Furler et al., 2017 (Australia) (18) | 266 patients with T2D from 74 general practices (control/usual care arm [n = 115] compared with intervention arm (n = 151]). Study duration: 1 year | Practice nurses (mentored by an RN/CDE) used simple clinical protocols to initiate and up-titrate insulin. | RCT | 84% completion rate. Intention-to-treat analysis found A1C improved in both arms, with a mean difference of −0.6% (95% CI −0.9 to −0.3) favoring intervention. 70% of intervention patients started insulin versus 22% in the control group (95% CI 4.5–15.4, P <0.001). Target A1C (≤7%) was achieved by 36% in the intervention group and 19% in the control group (P = 0.02). |
Houweling et al., 2011 (the Netherlands) (19) | 230 patients with T2D (randomized to either practice nurse group [n = 116] or standard care from a general practitioner [n = 114]). Study duration: 14 months | Nurses used a detailed treatment protocol aimed to optimize glucose, BP, and lipids, along with eye and foot care. | RCT | 90% completion rate. Between-group differences for A1C, BP, and lipids were not statistically significant. BP decreased significantly in both groups. SBP −7.4 mmHg (95% CI −3.8 to −10.9) and DBP −3.2 mmHg (95% CI −1.3 to −5.2) in the intervention group and SBP −5.6 mmHg (95% CI −2.3 to −8.8) and DBP −1.0 mmHg (95% CI −0.8 to −2.8) in the control group. In both groups, more patients met the target goals for lipids compared with baseline. Patients treated by nurses were more satisfied. |
Houweling et al., 2009 (the Netherlands) (20) | 93 patients with T2D referred by a PCP (randomized to intervention with a nurse specialist in diabetes [NSD] [n = 50] or usual care with an internist [n = 43]). Study duration: 1 year | Nurse-led patient education + detailed BG, BP, and lipid treatment protocols | RCT | 90% completion rate. No statistically significant difference between NSD and usual care groups for A1C, BP, TC, or LDL. Only statistically significant difference between groups was for TC/HDL ratio (P = 0.034). At 1 year, A1C was <7% in 33.3% of NSD group (P = 0.002), but there was no statically significant difference between groups. Health care costs decreased and patient satisfaction increased with nurse-led intervention (P <0.001), with same quality of life maintained. |
MacMahon et al., 2009 (Ireland) (21) | 200 patients with T2D who failed to meet recommended BP and/or TC targets after intervention in the hospital diabetes clinic (randomized to intensive [n = 101] or standard [n = 99] care). Study duration: 1 year | Patients randomized to intervention met with a diabetes nurse specialist every 2–3 months for lifestyle advice and medication titration for BP, BG, and lipids to achieve ADA guidelines. | RCT | 94% completion rate. More patients in the intervention group achieved targets than in standard care; SBP (<130 mmHg) 33 versus 12.1% (P <0.001); TC (<4.8 mmol/L) 84.8 versus 63.6% (P <0.001); LDL (<2.6 mmol/L) 73.4 versus 54.5% (P = 0.007); and A1C (<6.5%) 53.2 versus 32.9% (P = 0.005). |
McLoughney et al., 2007 (United Kingdom) (22) | 96 patients with T2D and uncontrolled HTN or HLD (compared at baseline vs. program completion). Study duration: 1 year | Treatment protocol–driven, doctor- supervised, specialist nurse–led intervention clinic. Patients met with nurse every 3–4 weeks to discuss lifestyle and medication action plan. BP and lipid medications were titrated according to treatment response and study protocol. | Prospective cohort study (no comparison group) | 98% completion rate. Statistically significant decrease in SBP (167 ± 12 vs. 132 ± 8 mmHg, P <0.001) and DBP (85 ± 9 vs. 70 ± 7 mmHg, P <0.001). 92% achieved target BP. TC (6.0 ± 1.2 vs. 3.9 ± 0.7 mmol/L, P <0.001) and triglycerides (4.2 ± 0.8 vs. 2.4 ± 1.2 mmol/L, P <0.001) significantly improved. 91% achieved target lipids. Mean A1C level improved (8.5 ± 1.5 vs. 7.4 ± 1.5%, P <0.01), and 45% achieved an A1C <7%. |
New et al., 2003 (United Kingdom) (23) | 1,407 patients with T1D or T2D presenting for annual review with BP ≥140/80 mmHg and/or TC ≥5.0 mmol/L (randomized to specialist nurse intervention or standard care). Study duration: 1 year | Patients attended nurse-led HTN and/or HLD clinic every 4–6 weeks until targets were achieved with medication titration using protocols, along with individualized lifestyle action plan and diabetes education. | RCT | 82 and 92% completion rates for HTN and HLD clinics, respectively. The nurse-led clinics had statistically significant improvements in patients achieving targets compared with standard care (OR 1.37 [95% CI 1.11–1.69], P = 0.003). |
Ogedegbe et al., 2018 (Ghana) (24) | 757 patients with uncontrolled HTN received health insurance coverage (HIC) only (n = 389) compared with nurse-led medication protocol for HTN (TASSH) + HIC (n = 368). Study duration: 12 months | Trained community health nurses implemented a cardiovascular risk assessment, provided counseling on lifestyle modification, and initiated and titrated antihypertensive medications. | RCT | 85% completion rate. Intention-to-treat analysis for all enrolled patients. TASSH + HIC group had a greater SBP reduction (−20.4 mmHg, 95% CI −25.2 to −15.6) than the HIC-only group (−16.8 mmHg, 95% CI −19.2 to −15.6), with a statistically significant between-group difference of −3.6 mmHg (95% CI −6.1 to −0.5; P = 0.021). |
Rudd et al., 2004 (United States) (25) | 150 patients with BP ≥150/95 mmHg needing drug therapy for HTN (randomized to nurse care management intervention + usual care [n = 74] or usual care only [n = 76]). Study duration: 6 months | For the intervention group, nurses titrated medications using algorithms, and patients monitored BP with a home monitoring device. Nurses contacted physicians to initiate new drugs. | RCT | 91% completion rate. The intervention group had a decrease in SBP by 14.2 mmHg (95% CI −18.1 to −10.0) versus 5.7 mmHg (95% CI −10.2 to −1.3) in the usual care group (P <0.01). DBP decreased by 6.5 mmHg (95% CI −8.8 to −4.1) compared with 3.4 mmHg in usual care group (95% CI −5.3 to −1.5) (P <0.05). |
Senaratne et al., 2001 (Canada) (26) | Phase 1: intervention group (n = 80) + usual care control group (n = 189); Phase 2: all intervention group (n = 366). Study duration: 6 months | Cardiac rehabilitation nurse ordered lipid panels and used a pharmacologic treatment algorithm to initiate cholesterol-lowering medication therapy. Both groups had the same dietary counseling option. | Prospective cohort study | 100% of patients were included in the analysis. Outcomes for control and intervention groups at baseline versus 1 year, respectively: TC 5.47 ± 0.08 to 4.92 ± 0.06 versus 5.42 ± 0.13 to 4.6 ± 0.07 mmol/L; LDL 3.44 ± 0.07 to 2.91 ± 0.06 versus 3.43 ± 0.11 to 2.68 ± 0.07 mmol/L; and on medication 49 versus 83% (P = 0.01). Phase 2 intervention across all patients continued to show improved results relative to the phase 1 control group. |
Senior et al., 2008 (Canada) (27) | 424 with T2D or T1D (n = 46) with HTN or albuminuria who attended the initial visit and returned for ≥1 follow-up visit. Study duration: 6 months | Nurse or dietitian provided lifestyle counseling and medication initiation and titration for BP, lipids, and glycemic control. | Prospective cohort study (no comparison group) | 99% completion rate. BP, A1C, and LDL improved at follow-up (SBP from 133 ± 19.3 to 129 ± 16.6 mmHg; DBP from 74 ± 11.3 to 71 ± 9.7 mmHg; A1C from 8.1 ± 1.9 to 7.5 ± 1.3%; LDL from 104 ± 35 to 93 ± 31 mg/dL; P <0.0001 for all). |
Taylor et al., 2012 (New Zealand) (28) | 100 patients with resistant HTN (clinical nurse specialist [CNS] HTN clinic participants [n = 50] and physician HTN clinic patients [n = 50]). Study duration: up to 10 months | Patients seen in CNS clinic every 2–4 weeks until target BP reached. Lifestyle and risk factor education plus medication adjustments made according to pre-arranged algorithms. | Prospective cohort study | 100% of patients were included in the analysis. Significant decrease in both SBP and DBP for physician HTN clinic patients (−20 mmHg SBP and −13 mmHg DBP), as well as CNS HTN clinic patients (−30 mmHg SBP and −14 mmHg DBP) (P <0.01). SBP reduction was larger in the CNS clinic group (P = 0.02). |
Tobe et al., 2006 (Canada) (29) | 99 First Nations patients with T2D and HTN (randomized to home nurse intervention [n = 50] or usual care with physician [n = 49). Study duration: 1 year | Home care nurse followed approved treatment protocol for HTN therapy to reach target BP <130/80 mmHg. Both groups received healthy lifestyle classes. | RCT | 91% completion rate. In both groups, change in BP from baseline to final visit was statistically significant. SBP decreased 7.0 mmHg more in the intervention group than in the control group (P = 0.14). DBP decreased 4.8 mmHg more in the intervention group than in the control group (P = 0.05). |
Worth et al., 2006 (United Kingdom) (30) | 110 consecutive patients with T1D (n = 12) or T2D (n = 97) and dyslipidemia who had at least three clinic visits were included. Study duration: 1 year | Diabetes dietitian provided lifestyle coaching and followed protocol to recommend, monitor, and titrate statin monotherapy or combined statin and fibrate therapy. | Time series (with pre-/post- comparison) | 85% completion rate. TC decreased from a mean of 241 mg/dL (95% CI 235–247) to 169 mg/dL (95% CI 166–172) (P <0.001). Triglycerides decreased from 268 mg/dL (95% CI 229–307) to 184 mg/dL (95% CI 166–203) (P <0.001). Reductions were maintained after 1 year. |
Yip et al., 2018 (China) (31) | 393 patients with HTN (randomized to nurse-led intervention [n = 194] or usual care [n = 199]). Study duration: 1 year | The nurse-led repeated prescription (NRP) group saw physician at baseline and 12 months, and the nurse used an HTN management protocol at 4 and 8 months. | RCT | 98% completion rate. Baseline-adjusted modified intention-to-treat and pre-protocol mean differences (between NRP and usual care) for SBP were 0.53 mmHg (95% CI −2.05 to 3.11) and 0.43 mmHg (95% CI −2.16 to 3.02), respectively. For DBP, the mean differences were 1.23 mmHg (95% CI −0.27 to 2.73) and 1.16 mmHg (95% CI −0.35 to 2.67), respectively. There were no significant differences between the NRP and usual care groups with regard to BP at 1 year, after adjusting for baseline values. |
Zgibor et al., 2018 (United States) (32) | 240 patients with T2D for ≥1 year and an A1C ≥7% or LDL ≥100 mg/dL or BP ≥130/80 mmHg from 15 primary care practices (intervention [n = 175] compared with usual care [n = 65]). Study duration: 1 year | Implementation of pre-approved diabetes management protocol with diabetes education by nurse CDEs during visits at baseline and 3, 6, and 12 months. Usual care included invitation to monthly CDE-led support group. | RCT | 90% completion rate. Mean difference in A1C between intervention and usual care was −0.66 (95% CI −1.11 to −0.22; P = 0.004), after adjustment for baseline A1C and other demographics and clinical factors. There were no statistically significant differences between groups for LDL or SBP. |
BG, blood glucose; BP, blood pressure; CDE, certified diabetes educator; CVD, cardiovascular disease; DBP, diastolic blood pressure; HDL, HDL cholesterol; HLD, hyperlipidemia; HTN, hypertension; LDL, LDL cholesterol; OR, odds ratio; SBP, systolic blood pressure; T1D, type 1 diabetes; T2D, type 2 diabetes; TC, total cholesterol.
Table 2 (13–35) summarizes the following characteristics for the 20 studies identified: type of health care professional delivering the intervention, chronic condition addressed, and presence or absence of detailed information on the protocol or treatment algorithm used. Fifteen studies used RNs to deliver the interventions, two used RDNs, and three used both RDNs and RNs. Nine studies described the medication protocol. Among the studies included in our systematic review, typically the RDN- and RN-led medication therapy arm was compared with usual care, whereby usual care signified care delivered by a “primary care provider” (PCP), “general practitioner,” “physician,” “primary care physician,” internist,” or “diabetologist” (14,15,18–21,23–25,29,31,32).
Overview of Health Professionals Used to Deliver Medication Interventions Using Protocols
Article . | Chronic Disease . | Protocol Described in Article . | Protocol Comments . |
---|---|---|---|
Dietitian studies | |||
Benson et al., 2019 (14) | Diabetes, dyslipidemia, and HTN | No | A treatment protocol used to initiate and titrate therapies for BG, HTN, and lipid levels in addition to providing medical nutrition therapy via telemedicine visits that supplemented usual care. |
Worth et al., 2006 (30) | Dyslipidemia | Yes | A step-wise protocol was used to recommend, monitor, and titrate statin and fibrate therapy; the protocol had two pathways, one for primary prevention and one for secondary prevention. |
Dietitian and nurse studies | |||
Benson et al., 2018 (13) | Dyslipidemia and HTN | No | Primary CVD prevention; medication protocols outlined in earlier article by Benson et al. (33). |
California Medi-Cal Type 2 Diabetes Study Group, 2004 (15) | Diabetes | No | Evidence-based practice guidelines and algorithms for medication and insulin initiation and/or adjustment used in a collaborative practice model with the primary care provider. |
Senior et al., 2008 (27) | Diabetes, dyslipidemia, and HTN | Yes | Algorithms used as part of the protocol were included as supplement to the article. |
Nurse studies | |||
Courtenay et al., 2015 (16) | Diabetes | No | Nurse prescribers prescribed the same medicines as doctors if it was within their level of experience and competence. |
Fanning et al., 2004 (17) | Diabetes, dyslipidemia, and HTN | Yes | Treatment algorithm for hyperglycemia was described in the article, but not the algorithms for dyslipidemia or HTN treatment. |
Furler et al., 2017 (18) | Diabetes | Yes | The protocol describes the initiation and titration of basal insulin. |
Houweling et al., 2011 (19) | Diabetes, dyslipidemia, and HTN | No | A detailed treatment protocol to prescribe 14 medications and adjust dosages for 30 more. |
Houweling et al., 2009 (20) | Diabetes, dyslipidemia, and HTN | No | Diabetes specialty nurses were permitted to initiate therapy with 14 different medications and to change dosages for another 30 medications. |
MacMahon et al., 2009 (21) | Diabetes, dyslipidemia, and HTN | Yes | Nurses titrated medication in response to BP and BG readings and biochemical results after patient visits to attain targets. |
McLoughney et al., 2007 (22) | Diabetes, dyslipidemia, and HTN | No | Protocols for HTN, dyslipidemia, and other uncontrolled risk factors were produced in accordance with published guidelines. |
New et al., 2003 (23) | Dyslipidemia and HTN | Yes | Medications for lipids and HTN were initiated and titrated according to a step-wise approach. |
Ogedegbe et al., 2018 (24) | HTN | No | Protocols were detailed in the previously published study protocol (34). |
Rudd et al., 2004 (25) | HTN | No | The nurse contacted the PCP for approval to initiate therapies and then used the protocol to titrate medications. |
Senaratne et al., 2001 (26) | Dyslipidemia | Yes | A medication titration protocol was described clearly in the methods section. |
Taylor et al., 2012 (28) | HTN | No | BP medication adjustments were made according to pre-arranged algorithms. |
Tobe et al., 2006 (29) | HTN | Yes | A medication titration protocol was clearly described in the methods section. |
Yip et al., 2018 (31) | HTN | No | A pre-developed HTN protocol was compared with usual care; if BP was normal, a repeat prescription pre-signed by the physician was issued; if BP was elevated, medication was prescribed; if BP remained high in 1 month, the physician was consulted. |
Zgibor et al., 2018 (32) | Diabetes, dyslipidemia, and hypertension | Yes | Nurse CDEs used detailed medication intensification protocols available in the supplementary data. The protocol was found in an appendix to an earlier article by Zgibor et al. (35). |
Article . | Chronic Disease . | Protocol Described in Article . | Protocol Comments . |
---|---|---|---|
Dietitian studies | |||
Benson et al., 2019 (14) | Diabetes, dyslipidemia, and HTN | No | A treatment protocol used to initiate and titrate therapies for BG, HTN, and lipid levels in addition to providing medical nutrition therapy via telemedicine visits that supplemented usual care. |
Worth et al., 2006 (30) | Dyslipidemia | Yes | A step-wise protocol was used to recommend, monitor, and titrate statin and fibrate therapy; the protocol had two pathways, one for primary prevention and one for secondary prevention. |
Dietitian and nurse studies | |||
Benson et al., 2018 (13) | Dyslipidemia and HTN | No | Primary CVD prevention; medication protocols outlined in earlier article by Benson et al. (33). |
California Medi-Cal Type 2 Diabetes Study Group, 2004 (15) | Diabetes | No | Evidence-based practice guidelines and algorithms for medication and insulin initiation and/or adjustment used in a collaborative practice model with the primary care provider. |
Senior et al., 2008 (27) | Diabetes, dyslipidemia, and HTN | Yes | Algorithms used as part of the protocol were included as supplement to the article. |
Nurse studies | |||
Courtenay et al., 2015 (16) | Diabetes | No | Nurse prescribers prescribed the same medicines as doctors if it was within their level of experience and competence. |
Fanning et al., 2004 (17) | Diabetes, dyslipidemia, and HTN | Yes | Treatment algorithm for hyperglycemia was described in the article, but not the algorithms for dyslipidemia or HTN treatment. |
Furler et al., 2017 (18) | Diabetes | Yes | The protocol describes the initiation and titration of basal insulin. |
Houweling et al., 2011 (19) | Diabetes, dyslipidemia, and HTN | No | A detailed treatment protocol to prescribe 14 medications and adjust dosages for 30 more. |
Houweling et al., 2009 (20) | Diabetes, dyslipidemia, and HTN | No | Diabetes specialty nurses were permitted to initiate therapy with 14 different medications and to change dosages for another 30 medications. |
MacMahon et al., 2009 (21) | Diabetes, dyslipidemia, and HTN | Yes | Nurses titrated medication in response to BP and BG readings and biochemical results after patient visits to attain targets. |
McLoughney et al., 2007 (22) | Diabetes, dyslipidemia, and HTN | No | Protocols for HTN, dyslipidemia, and other uncontrolled risk factors were produced in accordance with published guidelines. |
New et al., 2003 (23) | Dyslipidemia and HTN | Yes | Medications for lipids and HTN were initiated and titrated according to a step-wise approach. |
Ogedegbe et al., 2018 (24) | HTN | No | Protocols were detailed in the previously published study protocol (34). |
Rudd et al., 2004 (25) | HTN | No | The nurse contacted the PCP for approval to initiate therapies and then used the protocol to titrate medications. |
Senaratne et al., 2001 (26) | Dyslipidemia | Yes | A medication titration protocol was described clearly in the methods section. |
Taylor et al., 2012 (28) | HTN | No | BP medication adjustments were made according to pre-arranged algorithms. |
Tobe et al., 2006 (29) | HTN | Yes | A medication titration protocol was clearly described in the methods section. |
Yip et al., 2018 (31) | HTN | No | A pre-developed HTN protocol was compared with usual care; if BP was normal, a repeat prescription pre-signed by the physician was issued; if BP was elevated, medication was prescribed; if BP remained high in 1 month, the physician was consulted. |
Zgibor et al., 2018 (32) | Diabetes, dyslipidemia, and hypertension | Yes | Nurse CDEs used detailed medication intensification protocols available in the supplementary data. The protocol was found in an appendix to an earlier article by Zgibor et al. (35). |
BG, blood glucose; BP, blood pressure; CDE, certified diabetes educator; CVD, cardiovascular disease; HLD, hyperlipidemia; HTN, hypertension; SBP, systolic blood pressure.
Study Outcomes
Interventions led by RDNs and RNs led to improvements in blood pressure, lipids, and glycemic control. In studies with a comparison group available (n = 17), outcomes were as good as or better than with usual care and often led to a higher percentage of participants achieving treatment goals (Table 1). Compared with usual care, improvements in the RDN/RN interventions were significantly better in five intervention studies for A1C (15,17,18,21,32), six studies for blood pressure (21,23–25,28,29), and four studies for lipids (13,17,21,23). Of the three studies without a usual care comparison group (22,27,30), improvements were seen for the RDN-/RN-led intervention in target outcomes.
Of the 20 total studies, 15 were led by RNs. Of these, 12 focused on blood pressure, and all 12 saw an improvement in blood pressure with the RN intervention. Of those with a comparison group (n = 11), six studies found a statistically significant improvement over usual care (21,23–25,28,29) and five were noninferior (17,19,20,31,32), with the final pre-/post- study achieving statistically significant reductions in both systolic and diastolic blood pressure (22). Eight RN-led studies focused on diabetes (A1C), and all but one had a comparison group. Of these, four had significant improvements over the comparison arm (17,18,21,32), and three were noninferior (16,19,20). The final study found significant improvement in reducing A1C via the intervention, with 45% achieving an A1C <7% (22). Finally, eight studies assessed the effectiveness of RN-led interventions on dyslipidemia, with seven of the interventions having a comparison group. Of these, four studies found a significant improvement for lipids (17,20,21,23) and three were noninferior (19,26,32). The prospective cohort study by McLoughney et al. (22) also significantly improved total cholesterol and triglycerides, with 91% achieving lipid targets.
Two study designs looked at the effectiveness of RDNs using a treatment protocol. In a telemedicine RCT focused on type 2 diabetes, there was a statistically significant improvement in composite optimal care measures (A1C, blood pressure, not using tobacco, and taking a statin and aspirin as appropriate) in the intervention group compared with the control group (14). In a time series (pre-/post- comparison) study, total cholesterol and triglyceride levels decreased significantly, and these levels were maintained at 1 year (30).
In the three studies jointly implemented by both RDNs and RNs, there were improvements in clinical outcomes. In an RCT in type 2 diabetes comparing case management to traditional primary care in a Medicaid population, A1C decreased in both groups (by an average 1.88%) and was sustained throughout the 2-year study. The reduction in A1C was statistically greater in the intervention group at each time point (15). In a primary prevention cardiovascular retrospective cohort study (13), more participants than nonparticipants achieved an LDL cholesterol level <100 mg/dL and quit using tobacco. More encounters were associated with greater improvements in total cholesterol and LDL cholesterol than with fewer encounters. Finally, the study by Senior et al. (27) found statistically significant improvements in A1C, blood pressure, and LDL cholesterol (27).
Discussion
The results of the 20 articles included in this review (Table 1), in the context of available literature, make a compelling case that collaborative team-based interventions that use medication therapy protocols followed by RDNs and RNs improve clinical outcomes. Of the 20 studies, all demonstrated improvements in A1C, blood pressure, or lipids with 13 studies providing a lifestyle behavior change component in addition to medication protocols. Twelve of the 20 primary studies (57%) were RCTs, which included a total of 4,315 participants.
Guidelines from the AHA, ACC, and ADA consistently recommend a collaborative, multidisciplinary approach to meet patient needs (1–3). Under this approach, such professionals, with appropriate training and supervision, can follow an approved treatment algorithm to make medication changes for patients without consulting a PCP (36).
Current ADA guidelines recommend a change of medication therapy if A1C targets are not met after 3 months, although the reported times are generally much longer. A systematic review by Khunti et al. (37) found that the median time to treatment intensification was >1 year (range 0.3 to >7 years) when an A1C was above target in most studies reviewed. This failure to intensify treatment in a timely manner comes at a significant cost, according to Ali et al. (38). They estimated that, in a patient population of just over 13 million individuals with type 2 diabetes and an A1C >9%, delaying medical therapy intensification was associated with a loss of 13,390 life-years and a cost of $7.3 billion.
This review highlights the ability to overcome therapeutic inertia with the use of expanded care teams. Furler et al. (18) found that 70% of patients were started on insulin in the intervention group compared with 22% in the control group. Zgibor et al. (32) also found that intervention participants were much more likely to have their medication intensified compared with usual care. In another study focused on managing hypertension (25), 97% of the intervention group had one or more changes in drug therapy at 6 months compared with 43% in the usual care group. The intervention group also demonstrated greater medication adherence.
There are a multitude of reasons for clinical and therapeutic inertia. Competing demands faced by physicians during medical encounters present a major barrier to the provision of preventive services. These demands include, but are not limited to, addressing patient-related factors (e.g., fear of hypoglycemia, weight gain, injections, and myalgia), clinician-related factors (e.g., an ever-increasing number of medications; frequent changes to clinical practice guidelines, leading to knowledge gaps; and differing comfort levels with offering new advances in treatment), and health system–related factors (e.g., medication costs, limited access to care, and lack of timely access to relevant clinical data) (39,40). Given that social determinants of health account for 50–60% of health outcomes, it is also of increasing importance to address these factors during clinic visits (41). Compounding these competing demands are often severe time limitations resulting from high patient loads; most PCPs have no more than 10–15 minutes to spend per patient visit (37). Finally, the United States is currently experiencing a significant shortage of PCPs, as demand for physicians continues to grow faster than supply (42).
RDNs and RNs may be able to mitigate some of these issues by expanding their role to include medication management in addition to lifestyle behavior change counseling. This comprehensive approach to care could be integrated with the PCP visit (i.e., as a shared appointment) or by serving as an extension of care between usual clinic visits to the PCP. As an extension of primary care, RDNs and RNs are likely able to provide more frequent visits (or as needed) compared with usual care by a PCP, which typically occurs every 6–12 months (14,15,21–23). Frequency of intervention visits versus control visits often was not reported in these studies; yet, it is likely an important factor in achieving therapeutic outcomes. More encounters can lead to greater improvement in outcomes (13) and sustained improvement (30), while patients may feel more satisfied with the care they receive (16,19,20).
While cost was not addressed in most studies reviewed, Houweling et al. (20) did find lower health care costs and higher patient satisfaction with the diabetes nurse specialist intervention compared with usual care provided by an internist.
Most studies included in this review had several strengths, including a thorough description of the inclusion and exclusion criteria for the patient population selected, integration of the interventions within existing clinic or care delivery processes, and, in many cases, use of electronic health records as part of the intervention and for data surveillance.
Limitations
This systematic review has some limitations. Efforts were made to capture all available published studies related to the aim of the review. However, it should be emphasized that selection and publication bias might be present and that both are inherent to the research modality chosen (i.e., a systematic review). Also, many articles reviewed for possible inclusion mentioned medication management but did not specify that protocols or treatment algorithms were used. As a result, the articles were excluded.
Most of the RCTs were not blinded, so interventionists knew which patients were in which group. Although most of the studies had specific follow-up time points built into the intervention design, most did not describe the average number of visits needed to achieve success.
As with all research and program evaluations, there is the potential that results were influenced by program participants being more motivated to participate and make lifestyle behavior changes compared with nonparticipants.
Although nearly all the studies adequately described the most important characteristics of the patients and interventions, most did not adequately describe the process used to develop and approve protocols within their institutions, the number of health professionals used to deliver the interventions, the educational background of the interventionists, or any additional training provided to the RDNs and RNs who assumed this role.
Implications for Practice and Further Research
Organizations who are looking to pursue models that use medication therapy protocols need to check state licensure laws for RDNs and RNs. If the law does not address this issue, it becomes a matter of local facility discretion. Facilities can decide whether RDNs and RNs are able to initiate or titrate medications within protocols that have been approved by their own governing body.
Training for RDNs and RNs to pursue this type of work is an important consideration. In this review, the studies ranged from no formal training to intensive training. For example, in the study by Senior et al. (27), the RDNs and RNs delivering the intervention attended a 5-day training course before the study began covering topics such as disease management, pharmacotherapy, and the use of treatment algorithms, ongoing monthly all-day training sessions, and biweekly telehealth sessions and had ongoing peer mentoring by an advanced-practice nurse.
Collaboration with PCPs and other care team members is a crucial element of success to establish trust for this expanded role. Senior et al. (27) emphasized the importance of establishing trust and strong communication to overcome any concerns of patients and referring providers related to health professionals assuming nontraditional roles. For these professionals, access to a supportive and expert central team was crucial to building clinic staff confidence and reassuring physicians that the care of their patients was appropriately supervised.
Future research related to these types of interventions should more clearly specify whether a protocol was used and how it was developed and provide sufficient detail outlining the scope of the protocol. This will help other facilities and professionals learn how this type of work can best be implemented. Additionally, future studies would benefit from including cost as a specific outcome of interest, as this was addressed very minimally by the studies available to date.
Conclusion
This systematic review provides evidence that RDN- and RN-led medication management using physician-approved protocols or treatment algorithms can lead to clinically significant improvements in diabetes, dyslipidemia, and hypertension management. A collaborative, multidisciplinary approach involving traditionally nonprescribing health care professionals in the care of patients managed by PCPs can help to ensure that these patients receive both timely adjustment of their therapeutic regimens and essential coaching for lifestyle behavior change.
Article Information
Duality of Interest
No potential conflicts of interest relevant to this article were reported.
Author Contributions
G.B. participated in the conception of the study and drafting of the manuscript. J.H. researched data and participated in drafting of the manuscript. T.B.-L. researched data and edited the manuscript. A.S. analyzed and interpreted the data. J.B. participated in the conception of the study and edited the manuscript. G.B. is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.